Next Article in Journal
Mitoregulin Promotes Cell Cycle Progression in Non-Small Cell Lung Cancer Cells
Previous Article in Journal
Rational Design and Optimization of Novel PDE5 Inhibitors for Targeted Colorectal Cancer Therapy: An In Silico Approach
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Molecular Pathways, Neural Circuits and Emerging Therapies for Self-Injurious Behaviour

by
Kristina Zhang
1,2,
George M. Ibrahim
1,2,3 and
Flavia Venetucci Gouveia
2,*
1
Institute of Medical Science, University of Toronto, Toronto, ON M5S 3H2, Canada
2
Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada
3
Division of Neurosurgery, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(5), 1938; https://doi.org/10.3390/ijms26051938
Submission received: 30 January 2025 / Revised: 17 February 2025 / Accepted: 22 February 2025 / Published: 24 February 2025
(This article belongs to the Special Issue Molecular Research in Aggressive Behavior)

Abstract

:
Nonsuicidal self-injurious behaviour (SIB) is a debilitating manifestation of physical aggression commonly observed across neurodevelopmental, psychiatric, and genetic disorders. This behaviour arises from a multifactorial aetiology involving genetic predispositions, epigenetic modifications, neurotransmitter dysregulation, and environmental stressors. Dysregulation in dopaminergic, serotonergic, glutamatergic, and GABAergic systems has been implicated in the pathophysiology of SIB, alongside structural and functional abnormalities within fronto-limbic-striatal circuits. These disruptions impair key processes, such as emotional regulation, reward processing, and behavioural inhibition, contributing to the emergence and reinforcement of SIB. Advances in preclinical research using genetic, lesion-based, pharmacological, and environmental animal models have been instrumental in elucidating the molecular and neurocircuitry underpinnings of SIB. Emerging neuromodulation therapies targeting critical nodes within the fronto-limbic-striatal network, particularly deep brain stimulation, have shown promise in treating severe, refractory SIB and improving quality of life. This review integrates current evidence from clinical studies, molecular research, and preclinical models to provide a comprehensive overview of the pathophysiology of SIB and therapeutic approaches. By focusing on the molecular mechanisms and neural circuits underlying SIB, we highlight the translational potential of emerging pharmacological and neuromodulatory therapies. A deeper understanding of these pathways will pave the way for precision-based interventions, bridging the gap between molecular research and clinical applications in SIB and related conditions.

1. Introduction

Self-injurious behaviour (SIB) refers to repetitive, self-directed actions that result in physical harm without suicidal intent [1]. Common forms include head banging, self-biting, excessive scratching, hair-pulling, and skin-picking, which can lead to serious injuries, medical complications, and a diminished quality of life for both individuals and caregivers [2,3,4]. These behaviours are observed across a wide range of neurodevelopmental, psychiatric, and genetic conditions, often complicating treatment and requiring intensive management [5,6].
SIB is highly prevalent in individuals with neurodevelopmental disorders, particularly autism spectrum disorder (ASD) [7], Fragile X syndrome [8], Lesch-Nyhan syndrome [9], Prader-Willi syndrome [10], Cri-du-Chat syndrome [11], and Cornelia de Lange syndrome [12]. Among individuals with intellectual disabilities of unknown aetiology, estimates of SIB prevalence range from 4% to 23% [13,14], but this rate increases significantly to 42–70% with a diagnosis of ASD [15]. The onset of SIB typically occurs in early childhood, with nearly half of the affected individuals developing these behaviours before the age of three and up to 90% by age ten [5,6,16]. Larger genetic studies indicate early onset patterns in specific syndromes [15]. In Fragile X syndrome, 12% of cases emerge by one year of age, 63% by four years, and 93% by eleven years. Similarly, in Prader-Willi syndrome and Down syndrome, SIB is present in 73–91% of cases by the age of seven [15].
While SIB manifests across diverse conditions, its characteristics differ depending on the underlying aetiology [17,18,19]. In ASD and in the context of intellectual disabilities, SIB is often stereotyped and repetitive, resembling other motor stereotypies such as hand flapping or body rocking [20,21]. In contrast, SIB in psychiatric disorders, including mood disorders, borderline personality disorder, and impulse-control disorders, is more commonly described as impulsive and emotionally driven, occurring in response to distress or dysregulation [5,16,22]. Some genetic conditions, such as Lesch–Nyhan syndrome, present with severe, compulsive self-injury, including self-biting and self-mutilation, which is strongly linked to neurobiological abnormalities in dopamine regulation [17,18,19]. These distinctions highlight the importance of precise characterisation when considering treatment approaches, as different mechanisms may drive SIB in different populations.
The motivations underlying SIB also vary, with some behaviours maintained by external social reinforcement and others occurring independently of environmental factors [16,23,24]. In socially maintained SIB, self-injury serves a function, which may include gaining attention from caregivers or escaping aversive tasks [16,23,24]. Individuals who struggle with communication may engage in SIB to signal distress or influence their environment [20,21]. By contrast, automatically reinforced SIB is self-sustaining and does not depend on external responses or vary with environmental stimuli. In this context, self-injury may regulate internal sensory experiences, reduce anxiety, or alleviate physiological discomfort [16,23,24]. This type of SIB is more commonly observed in individuals with ASD and profound intellectual disabilities, where it may emerge as a maladaptive strategy for managing sensory processing difficulties [20,21]. Some individuals exhibit a combination of social and automatic reinforcement, underscoring the complex, multifaceted nature of these behaviours [16,23,24]. These behaviours often persist into adulthood, causing severe physical harm and leading to profound negative impacts on quality of life [25]. Beyond the immediate physical injuries, SIB can result in social isolation, limited access to educational and vocational opportunities, and increased medical costs [25,26,27].
The origins of SIB cannot be attributed to a single factor but rather arise from an interaction between genetic, neurobiological, and environmental influences. Dysregulation of key neurotransmitter systems, particularly dopamine, serotonin, glutamate, and GABA, has been implicated in the development and persistence of self-injury [17,28,29]. Structural and functional abnormalities in cortico-striatal and limbic circuits, which regulate impulse control, reward processing, and emotional regulation, further contribute to the expression of SIB [30,31,32,33]. The overlap of these neural disruptions across multiple disorders suggests that common biological mechanisms may underlie diverse presentations of self-injury [17,28,29].
This review examines the molecular, neurochemical, and circuit-level mechanisms underlying SIB across neurodevelopmental, psychiatric, and genetic conditions. Drawing from genetic studies, neuroimaging research, and preclinical animal models, we explore how disruptions in neurotransmitter function and neural circuits contribute to self-injury. Additionally, we consider the functional and reinforcement mechanisms that sustain SIB, differentiating between socially mediated and automatically reinforced behaviours. Finally, we discuss current and emerging treatment strategies, including behavioural, pharmacological, and neuromodulatory interventions, focusing on translating neurobiological insights into therapeutic approaches. Understanding the interplay between molecular pathways and environmental influences is critical for developing targeted, individualised treatments that address the root causes of SIB and improve outcomes for affected individuals.

2. Genetic and Epigenetic Contributions

Genetic and epigenetic factors play a crucial role in the predisposition to SIB, particularly in individuals with neurodevelopmental and psychiatric disorders [18,19]. Genetic mutations, chromosomal anomalies, and epigenetic modifications contribute to the dysregulation of critical pathways involved in neurotransmitter function, synaptic architecture, and neural plasticity [18,19]. This section highlights the growing body of evidence from candidate gene studies, genome-wide association studies (GWAS), and epigenetic research, providing an overview of how genetic factors interact with environmental influences to drive SIB (Figure 1).

2.1. Genetic Mutations and Polymorphisms

Several genetic syndromes associated with intellectual and developmental disabilities include SIB as a core symptom, including Lesch-Nyhan, Fragile X, Prader-Willi, Smith-Magenis, Cri-du-Chat, Angelman, Lowe, and Cornelia de Lange syndromes [8,9,10,11,12,34]. In these syndromes, mutations in genes such as HPRT1 (Lesch–Nyhan syndrome), FMR1 (Fragile X), UBE3A (Angelman syndrome), OCRL1 (Lowe syndrome), and the cohesin complex (Cornelia de Lange syndrome), as well as chromosomal deletions in 15q11-q13 (Prader–Willi and Angelman syndrome), 5p (Cri-du-Chat syndrome), and 17p (Smith-Magenis syndrome) disrupt critical pathways regulating neurotransmitter metabolism and synaptic function [17,35,36]. In ASD, mutations on SHANK3 impair synaptic scaffolding and glutamatergic signalling, leading to aberrant cortico-striatal circuit activity, a hallmark of SIB [37]. Candidate gene studies have further identified polymorphisms in genes associated with neurotransmitter regulation as potential contributors to SIB. Variants in the serotonin transporter gene (SLC6A4), monoamine oxidase A gene (MAOA), and dopamine receptor genes (DRD4 and COMT) have been linked to impulsivity, aggression, and repetitive behaviours [38,39,40]. For example, individuals with low-activity MAOA alleles exhibit heightened susceptibility to aggressive tendencies and SIB under stress [41,42]. Similarly, the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism influences neurotrophic support and synaptic plasticity, modulating the risk for SIB in the presence of childhood trauma or stress [41,42,43].

2.2. Heritability and Genome-Wide Association Studies

Twin studies estimate the heritability of SIB to range from 30% to 70%, with higher rates observed in females [15,34]. These findings suggest that genetic factors significantly influence susceptibility to SIB, although shared environmental influences also play a role [15,34]. GWAS provide further insights, identifying loci associated with psychiatric traits that overlap with SIB, such as depression, ASD, and attention deficit hyperactivity disorder (ADHD) [44,45,46,47]. Notably, the netrin-1 receptor gene (DCC), which regulates prefrontal cortex (PFC) development, has been implicated in both suicidal and nonsuicidal self-injury, underscoring its relevance to circuit-level disruptions observed in SIB [48]. However, many GWAS studies have been limited by their inclusion of broad self-harm phenotypes, conflating nonsuicidal self-injury with suicidal behaviours [44,45,46,47]. This highlights the need for larger, more targeted studies to identify specific risk loci for SIB.

2.3. Environmental Interactions with Genetics and Epigenetics

The interaction between genetic predispositions and environmental factors plays a pivotal role in shaping the risk of SIB [18]. For instance, individuals carrying the short allele of the SLC6A4 serotonin transporter gene exhibit increased vulnerability to SIB when exposed to severe interpersonal stress [38,49,50]. Similarly, carriers of the BDNF Val66Met polymorphism demonstrate greater susceptibility to the effects of childhood trauma, resulting in a heightened risk of self-directed aggression [43].
Epigenetic modifications represent a critical mechanism through which environmental factors influence gene expression, providing a link between external stressors and the biological pathways underlying SIB [51,52]. DNA methylation and histone modifications have been implicated in regulating genes involved in stress responses, neurotransmitter synthesis, and synaptic function [18]. For example, hypermethylation of the glucocorticoid receptor gene (NR3C1) has been observed in individuals with SIB and histories of childhood trauma, suggesting that dysregulated stress hormone signalling may mediate the link between adverse experiences and self-injurious behaviour [53]. Similarly, studies on methylation of the SIRT1 promoter region in adolescents with depression and SIB indicate altered serotonergic transmission, highlighting the interplay between epigenetic regulation and neurotransmitter systems [54]. Furthermore, monoaminergic dysfunction observed in genetic syndromes is often exacerbated by external triggers such as sensory overload or social isolation [55,56,57].
Environmental factors, particularly early-life adversity, play a critical role in shaping the onset and expression of SIB. Impoverished institutional settings, chronic social isolation, and exposure to prolonged stress are strongly associated with increased SIB prevalence, emphasising the importance of environmental context in modulating the behaviour’s severity [58,59]. For instance, children raised in environments lacking social and sensory stimulation frequently exhibit repetitive and injurious behaviours, which may represent maladaptive responses to unmet needs for interaction and engagement [58,60]. In children with neurodevelopmental disorders, communication challenges further exacerbate the risk of SIB [61,62]. Social and environmental isolation often leads to reduced engagement with the surrounding environment, promoting SIB as a potential means of communication or social reinforcement [20,63]. Similarly, individuals with impaired communication skills or those in institutional settings for intellectual disabilities are particularly susceptible to SIB [64]. Additional environmental factors include physical discomfort, illness, or over-arousal from sensory stimuli, which may trigger or reinforce SIB [65]. Disruptions in the endogenous pain-opioid system and sensory reinforcement mechanisms have also been proposed as contributing factors [65]. These findings underscore the interaction between biological predispositions and environmental factors in determining the severity and persistence of SIB.
These interactions emphasise the importance of studying SIB within a biopsychosocial framework that accounts for the dynamic interplay between genetic susceptibility, epigenetic regulation, and environmental stressors. This integrative approach provides a more comprehensive understanding of SIB’s emergence, reinforcement, and persistence across diverse clinical populations. Despite these advances, the causal relationship between specific genetic variants and SIB remains elusive. Recent studies suggest that overlapping genetic and epigenetic variations across disorders may contribute to shared vulnerability for symptoms, such as impulsivity, aggression, and repetitive behaviours, which are core features of SIB [66,67]. Additionally, personal characteristics, including temperament, cognitive ability, and coping mechanisms, significantly modulate the severity and expression of SIB within and across syndromes [15]. Future research should prioritise large-scale GWAS and longitudinal studies to clarify the contributions of specific risk loci and gene-environment interactions. Incorporating multiomic approaches, such as epigenomics and transcriptomics, will also enhance our understanding of the molecular mechanisms underlying SIB and identify potential targets for intervention.

3. Neurobiological Basis of SIB

The development and expression of SIB are strongly linked to disruptions in neural circuits that mediate key processes, such as emotional regulation, reward anticipation, and behavioural inhibition [17,68,69,70]. Preclinical and clinical studies implicate specific neurotransmitter systems and structural abnormalities in fronto-limbic-striatal circuits as central to the pathophysiology of SIB [17,71]. This section explores how neurotransmitter dysregulation and structural circuit abnormalities contribute to SIB.

3.1. Neurotransmitter Dysregulation

Dysfunction in neurotransmitter systems is a key neurobiological feature of SIB [3,72,73]. The interplay between dopamine (DA), serotonin (5-HT), gamma-aminobutyric acid (GABA), and glutamate signalling underpins the regulation of behaviours, such as impulsivity, aggression, and repetitive motor actions, all of which are core features associated with SIB [74,75].
Dopaminergic insufficiency within the mesocorticolimbic and nigrostriatal pathways is one of the most consistently reported findings in SIB [76,77]. Dysregulation of dopaminergic receptor signalling has been consistently observed in individuals with SIB and animal models, contributing to an imbalance between motor activation and inhibition [17,71]. In particular, reduced DA signalling in the striatum contributes to impaired reward processing and a diminished capacity to suppress maladaptive behaviours [75]. Moreover, the hyperactivity of D1 receptor-mediated pathways (direct pathway) and hypoactivity of D2 receptor-mediated pathways (indirect pathway) contribute to an imbalance favouring impulsive and repetitive behaviours [15,17,78]. Pharmacological interventions that enhance dopaminergic signalling, such as the administration of levodopa in 6-hydroxydopamine (6-OHDA) lesioned rats, provide further insights into the pivotal role of DA in regulating SIB [79,80,81].
Serotonergic projections from the raphe nuclei modulate frontal-limbic interactions are critical for impulse regulation and emotional processing, and have been linked to impaired top-down inhibitory control [82,83]. Alterations in serotonin transporter (SERT) availability and receptor sensitivity (e.g., 5-HT1A and 5-HT2A) are implicated in heightened impulsivity and aggression, both precursors to SIB [84,85]. Evidence of rhesus monkeys subjected to social deprivation highlights the role of serotonin in mediating the effects of environmental stressors on SIB [78]. In the clinic, available pharmacological treatments for SIB will target the serotonergic system via selective serotonin reuptake inhibitors (SSRI) [2,86]. These findings emphasise the interaction between neurotransmitter dysregulation and environmental factors.
The balance between excitatory glutamatergic and inhibitory GABAergic signalling within cortico-striatal circuits is critical for behavioural regulation [17,87]. Imbalances in this system disrupt the excitation-inhibition equilibrium, leading to repetitive and injurious behaviours [77,88]. Reduced GABAergic tone, particularly within the PFC, amygdala, and striatum, has been associated with increased emotional reactivity and decreased capacity for behavioural inhibition, allowing maladaptive behaviours like SIB to emerge [17,87]. Excessive glutamatergic activity has been implicated in the hyperexcitability observed in SIB. Overactivation of NMDA (N-methyl-D-aspartate) receptors contributes to synaptic dysfunction and excitotoxicity, and antagonism of NMDA receptors exacerbates motor stereotypies and impulsivity [17,87,89]. Thus, the interplay between GABAergic and glutamatergic signalling is particularly critical within cortico-limbic-striatal circuits, where disruption in this balance leads to hyperactivation of excitatory pathways and a failure of inhibitory control, creating a permissive environment for the expression of repetitive and injurious behaviours [17,87,89].
Adenosine receptor subtypes (A1 and A2A) also modulate SIB through their interactions with dopaminergic and glutamatergic systems, further highlighting the interplay between multiple neurotransmitter systems in driving SIB [17,19]. The combined administration of A1 and A2A agonists in animal models reduces repetitive behaviours, highlighting the therapeutic potential of targeting this system [90].

3.2. Fronto-Limbic-Striatal Circuits

Structural and functional abnormalities within the fronto-limbic-striatal circuits are central to the neurobiology of SIB [17,19,82,91]. These interconnected networks regulate emotional responses, reward processing, and motor control, and their disruption contributes to the maladaptive behaviours observed in SIB [17,19,82,91] (Figure 2). Individuals with autism show accelerated striatal growth, particularly in the caudate nucleus, where the growth rate nearly doubles and is associated with more severe repetitive behaviours in childhood [92]. Studies show that SIB is related to reduced top-down inhibitory control of the frontal cortex over the limbic system, suggesting hyperactivation of the direct cortico-striatal-thalamo-cortical (CSTC) pathway and hypoactivation of the indirect pathway [91,93]. These aggressive behaviours are linked to amygdala and cingulate cortex hyperactivation [33]. These circuits mediate the balance between excitatory and inhibitory signals, essential for regulating motor behaviours, emotional responses, and reward processing [31,93].
The CSTC loop is a critical neural circuit that regulates motor behaviours, emotional responses, and impulse control, frequently disrupted in SIB [17,70,94]. The CSTC system operates through two interconnected pathways: the direct pathway, which facilitates motor output and goal-directed behaviours, and the indirect pathway, which suppresses inappropriate or excessive motor and emotional responses [17,70,94]. Dysregulation of these pathways underlies the neurobiological basis of SIB, with hyperactivation of the direct pathway and hypoactivation of the indirect pathway contributing to the observed maladaptive behaviours [17,19,95]. The direct pathway begins with excitatory input from the frontal cortex to the striatum, activating medium spiny neurons (MSNs) that express dopamine D1 receptors [19]. These neurons send inhibitory GABAergic signals directly to the globus pallidus interna (GPi) and the substantia nigra pars reticulata (SNr), which are major output nuclei of the basal ganglia. Under normal conditions, the GPi and SNr inhibit the thalamus, suppressing motor activity [19] (Figure 2). However, when the direct pathway is activated, its inhibitory GABAergic signals reduce this suppression, allowing the thalamus to send excitatory signals back to the frontal cortex [17,95]. This disinhibition promotes motor activity and facilitates the expression of goal-directed behaviours [17,95]. Dopaminergic input from the substantia nigra pars compacta (SNc) enhances the activity of D1 receptor-expressing MSNs, further amplifying the direct pathway’s effect, a process that is essential for initiating and sustaining motor actions and behavioural outputs [17,95].
In contrast, the indirect pathway suppresses excessive or inappropriate motor and emotional outputs [17,19,95]. In this pathway, cortical input activates striatal MSNs expressing dopamine D2 receptors, which project inhibitory signals to the globus pallidus externa (GPe) [17,19,95]. The GPe normally exerts an inhibitory influence on the subthalamic nucleus (STN). Inhibition of the GPe by the indirect pathway releases the STN from this suppression, allowing it to send excitatory glutamatergic input to the GPi and SNr [17,19,95]. This increased activity in the GPi and SNr enhances their inhibitory output to the thalamus, ultimately reducing motor activity [17,19,95] (Figure 2). Dopaminergic input from the SNc attenuates the activity of D2 receptor-expressing neurons, weakening the indirect pathway and favouring motor activation when required.

3.3. Neuroimaging Studies

Neuroimaging studies across species have identified consistent patterns of structural and functional abnormalities associated with SIB [30,32], revealing decreased striatal and thalamic volumes, altered patterns of neuronal activity of the amygdala and PFC, and fronto-limbic connectivity [30,32,90]. In children with ASD, Duerden et al. found that SIB was negatively correlated with the thickness of the right superior parietal lobule, bilateral primary somatosensory cortices, and volume of the left ventroposterior nucleus of the thalamus—key regions in the somatosensory system involved in sensory integration and body awareness [96]. Furthermore, structural magnetic resonance imaging (MRI) studies found the orbitofrontal cortex grey matter volume to be positively associated with the severity of restricted and repetitive behaviours in ASD [97]. Conversely, the right caudal anterior cingulate U-fibre volume was negatively associated with these behaviours [98]. Structural changes in subcortical regions, such as thalami, amygdala, and caudate nuclei, occurred in children with ASD and predicted the severity of repetitive restricted behaviours [99,100,101], further implicating these regions with impaired impulse control and emotional regulation.
Huang et al. reported that self-injurious thoughts and behaviours were associated with hyperactivation of the right amygdala, left hippocampus, and left posterior cingulate cortex—regions critical for emotional processing and mentalisation [33]. Functional MRI studies have further identified aberrant fronto-limbic activation, with over-activation of the PFC and nucleus accumbens (nAcc) alongside amygdala deactivation during pain stimulation in individuals with borderline personality disorder and SIB [99]. These findings align with other studies linking SIB to impulsivity, heightened stress reactivity, emotional dysregulation, and atypical pain sensitivity or modulation [63,65,102,103]. Notably, disruptions in regions such as the amygdala, anterior cingulate cortex, and basal ganglia highlight the interplay between pain perception, emotional processing, and the neural circuits underpinning SIB.
In animal models, such as the BTBR T+ Itpr3tf/J (BTBR) mouse model of SIB, decreased volume of the striatum and thalamus and increased volume of the hippocampus, cerebral cortex, and cerebellum have been associated with behavioural challenges [104]. Moreover, neuroimaging in C58/J mice showed that reduced volume in key cortical and basal ganglia regions, including the motor cortex, striatum, globus pallidus, and STN, was associated with repetitive behaviours [105]. Histological analyses of neonatal 6-OHDA-lesioned rodents and Shank3-deficient mice highlight similar neuroanatomical abnormalities, including striatal atrophy and disrupted corticostriatal synaptic connectivity [106,107]. These findings suggest a convergence of circuit-level dysfunctions across clinical and preclinical studies.

4. Animal Models of SIB

Animal models are critical in elucidating the molecular and circuit-level mechanisms underlying SIB and provide a platform for testing targeted interventions before clinical trials. These models provide invaluable insights into the genetic, neurochemical, and environmental factors contributing to SIB, enabling researchers to investigate its pathophysiology in controlled settings [29,108]. The strength of animal models for studying SIB is rooted in dimensions of face (the model’s ability to reflect clinical symptoms), construct (similar disease aetiology between the human condition and preclinical models), and predictive (response to treatments seen in clinical populations) validity [29,108]. Most animal models used in SIB studies demonstrate high face and construct validity and are thus valuable for investigating the pathophysiology and underlying mechanisms of potential treatments [29,108]. To date, numerous laboratory models have been generated in which developmental and neurochemical manipulations result in the expression of SIB. Since SIB can be a naturally occurring behaviour among animals in stress or deprivation environments, the manipulations applied to create laboratory models are thought to impact similar endogenous mechanisms underlying SIB in the more naturalistic contexts [29,108]. Animal models of SIB can be divided into four groups based on their induction method: (1) genetic models, (2) lesion models, (3) environmental manipulation, and (4) pharmacological manipulation [29,108]. Table 1 summarises commonly employed SIB animal models and key neurobiological findings from studies using these models.

4.1. Genetic Models

Genetically modified animals offer robust platforms for studying the molecular mechanisms of SIB. These models typically involve mutations or deletions of specific genes known to affect neural circuitry, neurotransmission, and behaviour [29,108]. Some well-characterised genetic models used to study SIB include those with gene knockouts in Shank3, Fmr1, Slc6a3, Hoxb8, and Tsc1 or Tsc2, as well as those with mutations in Mecp2 [29,108].
The Shank3 knockout mouse has been developed to model the glutamatergic synaptic dysfunction and behavioural impairments of ASD [109,110]. These mice exhibit injurious self-grooming behaviours akin to SIB, resulting in lesions that typically first appear on the face or back of the neck [109]. Unlike other repetitive and restrictive behaviours, which are often nonharmful, this form of SIB specifically leads to self-inflicted physical injuries. A study using conditional knockout mice to investigate the effects of reduced Shank3 expression in different brain areas revealed that while Shank3 reduction in the striatum is associated with repetitive behaviours, Shank3 deficiency in the hippocampus and cortex leads to injurious self-grooming [111]. Similarly, Mecp2 mutant animals, which model Rett syndrome, display SIB and aggression linked to deficits in GABAergic and serotonergic systems [111,112,113]. Deleting Mecp2 in GABAergic inhibitory neurons throughout the brain leads to injurious self-grooming, motor dysfunction, impaired social behaviour, and impaired memory [114]. However, if the loss of Mecp2 occurs only in a subset of forebrain GABAergic neurons, no injurious self-grooming is observed [114]. Depletion of Mecp2 in dopaminergic, noradrenergic, or serotonergic neurons induced motor impairments and aggressive behaviour [111,112,115,116]. The understanding of the Mecp2 deficiency gained from these animal studies has led to the identification of a wide array of therapeutic targets, including the Mecp2 gene and protein product, as well as the downstream mechanisms (i.e., neurotransmitter pathways, metabolic pathways, and ion channels) involved in SIB related to the Mecp2 mutation [109,110].
Other genetic models, such as those with mutations in Fmr1 (Fragile X syndrome model), Slc6a3 (ASD model), Hoxb8 (obsessive-compulsive disorder [OCD] model), and Tsc1 or Tsc2 (tuberous sclerosis model) similarly highlight disrupted monoamine signalling, which impacts impulse regulation and synaptic stability, both of which are key factors in SIB [117,118,119,120,121]. Similar to Fragile X patients, Fmr1−/− animals do not produce FMRP, a protein involved in synaptic plasticity and function [121]. These animals have deficits in striatal GABA, glutamate, and 5-HT [117], which are associated with hyperactivity, social impairment, and cognitive deficits; however, their relationship concerning SIB is not yet clear [121,122]. Animals with DA transporter depletion, through the Slc6a3 knockout mutation, exhibit high levels of extracellular DA, which is correlated with hyperactivity, impulsivity, and repetitive behaviour, including SIB [120]. This model is relevant for several fields of SIB research because of its clear and targeted dysfunction in DA regulation [120]. Hoxb8 mutants exhibit increased cortical synapse and spine density within the frontal cortex along with increased dendritic spines in the dorso- and ventro-medial subregions of the striatum, suggesting that increases in excitatory corticostriatal synapses may be implicated in the elevated injurious self-grooming, anxiety, and social deficits in Hoxb8-/- animals [118]. Interestingly, long-term treatment of Hoxb8 mutants with the SSRI fluoxetine improves these behavioural impairments [118]. Finally, animals with Tsc1 or Tsc2 knockouts also exhibit repetitive behaviours, imbalanced excitation/inhibition, abnormal synaptic plasticity, and disruptions in the mTOR signalling pathway—a crucial regulator of cell growth and synaptic function [119]. The degree of behavioural and cognitive deficits depends on the specific Tsc1 or Tsc2 mutation, underscoring the complexity of SIB in the context of neurodevelopmental disorders [119]. This variability highlights the need for further research to refine these models and enhance their translatability to the clinical population.
Although not produced through direct genetic manipulation, the inbred BTBR mouse is among the common model systems used for studying SIB in the context of ASD [123,124]. Similar to the previously mentioned rodent models, this strain exhibits excessive levels of self-grooming and repetitive behaviour [123,124,125,126], along with several neuroanatomical abnormalities analogous to those observed in patients with ASD and co-morbid SIB [104]. BTBR mice exhibit altered DA, 5-HT, GABA, glutamate, and noradrenaline systems. Notably, reduced DA levels in the amygdala [127], accompanied by increased DA metabolites [127] and compromised DA D2-mediated neurotransmission [128], are associated with excessive self-grooming episodes. The animals also exhibit substantially blunted striatal and mesolimbic DA neurotransmission, an effect related to dysfunctional pre- and postsynaptic D2R signalling, with a plausible contribution of striatal adenosine A2A alterations [128]. An imbalance in excitatory and inhibitory neurotransmission has also been observed, characterised by reduced GABA signalling, with lower GABA levels detected in the amygdala [127], PFC, and hippocampus [129], alongside elevated glutamate levels in the amygdala [127]. Studies of 5-HT in BTBR mice revealed reduced 5-HT transporter (SERT), increased 5-HT1A receptor signalling capacity, and altered behavioural responses to 5-HT1A receptor ligands [130,131]. Interestingly, the excessive, injurious self-grooming expressed by BTBR mice is blocked by mGluR5 antagonist MPEP [124], 5-HT receptor antagonists [132,133], the adenosine 2A agonist CGS2168 [134], muscarinic cholinergic receptor agonist oxotremorine [135], without affecting locomotion. Taken together, the inbred BTBR mouse strain shows dysregulation across multiple monoamine systems essential for controlling impulsivity and reward processing. Dysfunction in these systems appears to drive excessive, injurious self-grooming behaviour observed in these animals, making BTBR mice a valuable model for studying SIB.

4.2. Lesion Models

Lesion models, such as neonatal 6-OHDA lesioned rodents, replicate dopaminergic deficits observed in conditions such as Lesch-Nyhan syndrome [29,108,136,137]. This model is among the most well-characterised lesion models for studying SIB, in which dopaminergic neurons of the striatum are destroyed in neonatal rodents [29,108,136,137]. However, it is important to note that the 6-OHDA model is only effective for modelling SIB if the dopaminergic neurons are almost completely destroyed during the neonatal stage, as the behavioural manifestations of lesioning are age-dependent [137]. Early studies have shown that neonatal rats with reduced DA and NE remained indistinguishable from nonlesioned controls, except for a slight decrease in body weight [138] and enhanced levels of stereotypic self-grooming [139]. When exposed to dopamine agonists (e.g., levodopa, apomorphine) in adulthood, 6-OHDA lesioned rodents exhibit immediate and profound SIB (i.e., self-biting, self-grooming) [79,80,81], demonstrating the critical role of dopaminergic signalling in the expression of self-directed behaviours.
The 6-OHDA lesion model exhibits decreased binding to D1R but increased binding to D2R, thus implying that DA-agonist-induced SIB may result from actions through D2R [79,80,81]. However, studies have contradicted this notion whereby administration of the D1R agonist SKF 38393 has been shown to cause greater inhibitory responsiveness of spontaneously firing neostriatal units in 6-OHDA rats [140]. In contrast, responses to the D2R agonist PPHT were relatively unaffected [140]. In addition, administration of D2R agonists induces hyperlocomotion and stereotypy, but no SIB in neonatally lesioned rats [81,141,142]. These findings highlight that although 6-OHDA lesions do not increase the expression or binding of D1R, the increased sensitivity of signalling through this class of receptors is crucial in SIB expression among neonatally lesioned rat models.
Importantly, lesion models have revealed the dynamic interplay between DA and other neurotransmitter systems, such as serotonin, GABA, and noradrenaline, in modulating SIB. Adult rats lesioned during the neonatal stage exhibit increased GABA, substance P, and met-enkephalin [81,143]. These changes in GABA and neuropeptide concentration suggest that DA depletion during neonatal development may cause functional changes to the medium spiny neurons of the striatum since GABAergic and peptidergic neurons are principal targets of dopaminergic neurons [81,143]. Animals with neonatal 6-OHDA lesions also show increased 5-HT innervation in the striatum during adulthood [144]. This heightened innervation is associated with enhanced binding of 5-HT1B and 5-HT2 receptors, along with increased sensitivity to 5-HT receptor agonists [144]. Given the involvement of DA on SIB expression in the neonatal 6-OHDA lesion model, one might expect 5-HT also to play a crucial role. However, the findings are inconsistent: some studies indicate that 5-HT administration does not induce SIB, while others show that systemic administration of 5-HT antagonists also does not affect SIB [29,108,136,137]. Analysis of the potential contributions of other monoaminergic systems reveals that the noradrenergic system is likely not involved in SIB expression [80]. Breese et al. found that inhibition of DA-β-hydroxylase, an enzyme that converts DA to NE in noradrenergic neurons, does not affect SIB expression in the neonatal 6-OHDA model [80]. These insights have provided a plausible rationale for the utility of pharmacological interventions targeting monoaminergic pathways.

4.3. Early Environmental Deprivation

Models of early-life environmental deprivation and social isolation provide valuable insights into the impact of environmental factors on SIB and are particularly useful for studying the interaction between genetic predispositions and environmental stressors in shaping behaviour [29,108,137]. Neglect and abuse in childhood are thought to contribute to psychiatric disorders in which SIB may be a common feature [58,61,64,145,146,147]. Thus, the important etiological similarities of this model and the development of SIB in human psychopathologies underscore the construct validity of these early environmental deprivation models used within the laboratory.
These models originated from observations that nonhuman primates demonstrate aberrant behaviours, including SIB, when raised in stressful or socially impoverished environments [148,149,150]. In rhesus monkeys, this pathology usually takes the form of excessive hair-pulling, head-banging, and self-directed biting that can lead to severe tissue damage and mutilation [150,151,152]. Analyses of colony and veterinary records show that several risk factors for developing SIB in macaques are related to the isolating and captive nature of individual cage housing. Similar to the clinical population, in nonhuman primates, the age of the first individual housing [153,154], the proportion of the first 48 months of life spent in solitary caging [155], and the total duration of individual housing [153,155] significantly predict the development of self-inflicted wounding later in life. Interestingly, males are more likely to develop SIB than females [153,154].
Stress also plays a significant role in SIB expression among early environmental deprivation models. Isolation-reared animals often express SIB in the context of environmental and emotional stress [149,151], similar to that observed in humans with SIB [4,156]. Rhesus monkeys raised in socially stressful conditions and exposed to acute stress demonstrate elevated levels of emotional dysregulation, anxiety, fear, and aggression [157] and exhibit altered functioning in the hypothalamic-pituitary-adrenocortical axis, including blunted cortisol response, which is associated with increased levels of SIB [152,158].
Furthermore, maternally deprived and isolation-reared rhesus macaques exhibit lower DA metabolite (3,4-dihydroxyphenylacetic acid) concentration and apomorphine (D2 agonist) sensitivity, respectively, suggesting that early environmental deprivation can permanently change DA receptor sensitivity [159,160]. Altered 5-HT transmission is also implicated in the expression of SIB in rhesus monkeys, where treatment with the 5-HT precursor 1-tryptophan resulted in significant reductions in self-directed biting in 7 rhesus monkeys with a history of self-directed wounding [161]. These findings suggest that high levels of self-biting in monkeys could be due to a deficiency in 5-HT neurotransmission [161]. Moreover, rhesus macaques exposed to early environmental deprivation exhibit pronounced loss of striatal patch/matrix organization and chemoarchitecture in adulthood [162].
Rodent models of environmental deprivation similarly demonstrate increased dopaminergic activity and impaired inhibitory control, mirroring the neurobiological disruptions seen in human SIB [163,164]. Typically, for rodents, environmental deprivation can be presented as prolonged social isolation or a lack of environmental enrichment [163,164]. In fact, the addition of environmental enrichments in the housing cage, such as nesting material, reduced excessive self-grooming behaviour in rats [164]. Rats exhibiting environmentally induced SIB have higher basal concentrations of extracellular DA in the nAcc [165] and striatal area [165,166], as well as elevated basal levels of D1R binding in the caudate and lower levels of D2R binding in the caudate and nAcc [167].
Taken together, the findings in these animal models suggest that SIB induced by early environmental deprivation may be related to altered DA and 5-HT neurotransmission and result in hypersensitivity to DA agonists. Nevertheless, it is important to note that environmentally induced models present several challenges for studying SIB due to the inherent heterogeneity of animals (i.e., genetic factors, personality traits, previous experiences, etc.), which can impact the model’s vulnerability to SIB and response to treatment.

4.4. Pharmacologic Models

Pharmacological models, such as those using pemoline [168,169,170,171], methamphetamine [172], or GBR-12909 [173], induce SIB through targeted disruption of neurotransmitter systems. These models highlight the role of several neurotransmitter systems in the pathophysiology of SIB, particularly monoamine imbalances in driving self-directed behaviours [108,137,168,169,171,174]. SIB may also be modelled by the administration of caffeine [171,175], the adrenergic agonist clonidine [176], or the calcium channel agonist Bay K 8644 [177,178].
Pemoline-induced SIB in rodents has provided strong predictive validity for pharmacological treatments, offering insights into the efficacy of dopaminergic and serotonergic agents [168,169,171,174]. In this model, high doses of pemoline, a long-lasting indirect monoamine agonist that blocks DA, 5-HT, and NE reuptake, are administered to rats to induce SIB [174]. This model is particularly interesting because patients with amphetamine-induced psychosis often exhibit severe SIB [179,180]. Additionally, repeated pemoline treatment results in approximately 30% depletion of striatal DA, resembling the degree of DA loss observed in Lesch–Nyhan syndrome [108] and further supporting the notion that drug-induced alterations to DA mechanisms play an important role in the aetiology of stimulant-induced SIB.
Pemoline also reverses DA transporter functioning, causing a presynaptic release of DA while simultaneously blocking its reuptake, and can have its effect reverted by administration of DA antagonists [181]. One particularly interesting study by Cromwell et al. compared the responses of striatal MSNs to cortical stimulation in brain sections from pemoline-treated rats that exhibited SIB to those that did not [182]. They found that DA application increased the evoked depolarizing potential responses of neurons in pemoline-treated SIB rats when compared to non-SIB and control rats [182]. Moreover, this response to DA in neurons of SIB rats required co-activation of D1R and D2R and was blocked by NMDA receptor antagonist 2-amino-5-phosphonovaleric acid. Glutamatergic and dopaminergic neurotransmission are highly interactive in the CSCT loop, and administration of the NMDA receptor antagonist MK-801 before pemoline blocks SIB in rats [183,184], an effect not observed in rats given MK-801 after pemoline injection [184]. Overall, these findings suggest that glutamate-induced neuroplasticity, along with altered cortico-striatal glutamatergic and dopaminergic signalling in MSNs, may contribute to the pathophysiology of pemoline-induced SIB.
The calcium channel agonist, Bay K 8644, induces dystonia and SIB in mice, especially if administered during early post-weaning development. Studies have found that SIB is augmented by the administration of the indirect DA agonists amphetamine and GBR 12909 [177], the monoamine oxidase inhibitor clorgyline [185], and the SSRI fluoxetine in this specific model [185]. Furthermore, Bay K 8644-induced SIB was suppressed when 5-HT or vesicular stores of DA were depleted [185], indicating the involvement of 5-HT and DA systems in SIB manifestation in this model. Bay K 8644-induced SIB was also attenuated by co-administration of D1/D5 receptor antagonists (i.e., SCH-23390, SKF-38566), as well as D3 antagonists (i.e., U-99194, GR-103691) [186]. In contrast, co-administration of D2 (i.e., L-741,626) and D4 (i.e., L-745,870) antagonists did not affect Bay K 8644-induced SIB. The effects of Bay K 8644 were also weakened in D3 receptor knockout mice while being amplified in D1 knockouts. These findings suggest that DA and 5-HT neurotransmission play important roles in SIB induction by Bay K 8644 in mice, and D1, D3, and D5 receptor signalling processes mediate the SIB onset.
An intriguing model previously explored for its perceived reliability in simulating SIB is the chronic caffeine model [171,175]. This approach was initially promising, as caffeine is thought to influence DA functioning via the antagonistic effects of methylxanthine on adenosine receptors, modulating presynaptic DA neurotransmission and altering postsynaptic DA responses [171,175]. However, more recent studies show that only a small proportion of caffeine-treated animals display SIB, which, when present, is typically mild [171]. Additionally, many caffeine-treated animals experience adverse effects, including weight loss, chromodacryorrhea (i.e., red lacrimal secretion), thymus involution, and even death [171]. Thus, these severe side effects make caffeine-induced self-injury an unreliable model, limiting the potential for meaningful biochemical or behavioural analysis [29,171].
Future research should refine existing animal models to enhance their translational relevance. Incorporating advanced techniques such as optogenetics, chemogenetics, and in vivo imaging will enable researchers to dissect the molecular and circuit-level dynamics of SIB with greater precision. By integrating findings from genetic, lesion, and pharmacological models, researchers can develop a comprehensive understanding of SIB and its molecular underpinnings, paving the way for innovative treatments.

5. Treatment Approaches for SIB

The neurobiological basis of SIB reflects complex interactions between neurotransmitter dysregulation, structural abnormalities in fronto-limbic-striatal circuits, and environmental influences. This multifactorial aetiology necessitates an integrated, multidisciplinary approach to treatment that targets the underlying molecular, neurocircuitry, and psychosocial mechanisms of SIB [68,86,187,188]. Current strategies include behavioural interventions, pharmacological treatments, neuromodulation techniques, and emerging molecular-targeted therapies [86,189]. Table 2 provides a summary of the main therapeutic strategies currently employed for the clinical management of SIB. Although significant progress has been made, there remains an unmet need for evidence-based, individualised treatment approaches to manage severe SIB effectively.

5.1. Behavioural Interventions

Behavioural interventions form the cornerstone of SIB management, particularly for individuals with neurodevelopmental or psychiatric disorders [86,187,190], as has been designated as the “best practice” for children and adolescents with SIB by the American Academy of Paediatrics [189]. These treatment and prevention strategies employ function–based and patient-specific treatment programs to identify proximal stressors that may elevate the risk of SIB and develop skills to cope with such stressors more effectively [189,191,192]. These approaches are best implemented in a family-based setting, where caregivers are trained to identify triggers and implement consistent behavioural strategies that mitigate SIB [86,187,190]. While physical restraints (e.g., gloves, helmets) may be necessary to prevent serious injury during acute episodes, their use should remain temporary and closely monitored [86,187,190]. Interventions should prioritise teaching functional communication skills and adaptive coping mechanisms to reduce reliance on restrictive measures [86,187,190].
Behavioural strategies, including functional behaviour assessments (FBA) and applied behaviour analysis (ABA), have demonstrated significant efficacy in identifying triggers and developing targeted interventions to reduce SIB [86,187,190]. FBA systematically assesses the functional role of SIB (e.g., sensory stimulation, attention-seeking, or escape from aversive situations) and informs the implementation of individualised treatment plans. For example, if SIB serves as a mechanism for avoiding difficult tasks, behavioural interventions focus on teaching alternative communication strategies, such as verbal requests for breaks or support [86,187,190]. ABA uses reinforcement techniques to encourage adaptive behaviours while reducing maladaptive ones [86,187,190]. These include contingency management strategies, such as differential reinforcement of alternative behaviour, that have proven effective in replacing SIB with functional, socially appropriate responses [86,187,190]. Cognitive-behavioural therapy and dialectical behaviour therapy are widely used for individuals with comorbid emotional dysregulation, particularly in adolescents and adults; however, the use is restricted to individuals with profound intellectual disabilities and those who are nonverbal [86,187,190]. These approaches enhance emotion regulation, distress tolerance, and problem-solving skills, usually combining mindfulness-based techniques with behavioural strategies to address the maladaptive coping mechanisms that perpetuate SIB [86,187,190].
As these behavioural interventions require identification of the specific reinforcement maintaining SIB, they are often based on the premise that the behaviour is maintained by socially mediated reinforcement (i.e., influenced by social interactions and/or environment). Consequently, they are more difficult to implement in the more than 25% of cases in which automatic reinforcement (i.e., sensory or alternate consequences resulting directly from the behaviour itself) of the behaviour is hypothesised [27]. Automatically reinforced SIB poses unique treatment challenges because the maintaining reinforcer is neither easily identifiable nor directly controllable by clinicians in most cases [27,193]. Recently, however, Hagopian et al. identified a predictive behaviour marker for response to reinforcement-based interventions, showing that SIB occurring primarily in an “alone” condition responds better than SIB that remains high across all conditions, marking a first step toward effective treatment stratification for automatically reinforced SIB [194].

5.2. Pharmacological Interventions

When behavioural interventions alone are insufficient to manage SIB, pharmacologic therapy may be considered an additional option; however, pharmacotherapy is most effective when combined with behavioural interventions, as medications primarily address symptoms rather than the underlying mechanisms [65]. Pharmacological treatments for SIB often target neurotransmitter systems implicated in its pathophysiology, such as dopaminergic and serotonergic pathways, among others [189,191,192].
Second-generation antipsychotics such as risperidone and aripiprazole are among the most commonly prescribed agents for managing SIB [65,86,190,195] and are FDA-approved for the symptomatic management of aggression, self-injury, and temper tantrums in children and adolescents with ASD [196]. These drugs primarily modulate dopamine (D2 receptor) and serotonin (5-HT2A receptor) activity, restoring balance in cortico-limbic-striatal circuits [65]. For instance, risperidone has significantly reduced irritability and aggression, with an 8-week, placebo-controlled trial reporting a 56.9% reduction in symptoms compared to 14.1% in the placebo group [196,197]. Similarly, aripiprazole has shown robust efficacy in reducing irritability and associated SIB in randomised controlled trials [198]. Other second-generation antipsychotics, such as olanzapine, paliperidone, and ziprasidone, had shown positive results for managing other challenging behaviours (e.g., irritability) in children with ASD [65].
Other pharmacological agents include SSRIs, such as fluoxetine, which enhance serotonergic tone and have been shown to reduce impulsivity and repetitive behaviours [189,191,192]. Additionally, N-acetylcysteine, a glutamatergic modulator with antioxidant properties, has shown promise in reducing repetitive and injurious behaviours by restoring excitatory-inhibitory balance within cortico-striatal circuits [189,191,192].
Opioid antagonists, particularly naltrexone and naloxone, have been explored as potential treatments for self-injurious behaviour based on the hypothesis that dysfunctions in the endogenous opioid system contribute to the maintenance of SIB in some individuals [199,200]. Naltrexone, an orally administered opioid antagonist, has shown promise in reducing self-injury, with a quantitative review of 27 studies reporting that 80% of individuals demonstrated improvement relative to baseline, and 47% exhibited a reduction in SIB of 50% or more [199,200]. While the precise mechanism remains unclear, it has been suggested that opioid antagonists may reduce SIB either by blocking the euphoric or analgesic effects associated with self-injury or through more general anxiolytic and sedative properties. Naltrexone’s efficacy appears to vary among individuals, with some studies indicating a dose-dependent effect and a higher likelihood of response in males [199,200]. Despite positive findings, methodological limitations, including small sample sizes and variability in dosing, necessitate further controlled studies to determine optimal treatment protocols.
Cannabidiol (CBD) has been investigated as a potential treatment for SIB in ASD based on the influence of the endocannabinoid system on emotional regulation and behavioural control [201]. Some studies suggest that CBD extracts may reduce self-injury, aggression, and irritability in children and adolescents with ASD; however, methodological inconsistencies, including variations in CBD formulations, dosing, and outcome measures, limit the reliability of findings and lower the quality of evidence [201]. Despite growing interest in CBD for managing behavioural symptoms in ASD, robust, well-controlled randomised controlled trials are needed to determine its true efficacy and safety [201].
Most pharmacologic treatments are prescribed off-label, relying on clinical judgement tailored to each case, with careful, ongoing monitoring of therapeutic effects [65]. Given that the precise pathophysiology of SIB remains unclear, current pharmacologic treatments focus mainly on alleviating symptoms rather than targeting the underlying mechanistic causes [86,187,190]. Despite their efficacy, pharmacological treatments are associated with potential side effects, including weight gain, sedation, and extrapyramidal symptoms, necessitating careful monitoring and individualised treatment planning [86,187,190].

5.3. Neuromodulation Therapies

For individuals with severe, treatment-refractory SIB, neuromodulatory approaches, such as deep brain stimulation (DBS), may present novel therapeutic options for this population when other treatments are not tolerated or effective [68,202,203]. This type of intervention, however, is still experimental and reserved for highly refractory cases where there is a foreseeable risk of injury. DBS involves delivering targeted electrical stimulation to key nodes within the fronto-limbic-striatal network, and various targets, including the amygdala, posterior hypothalamus, and nAcc, have been studied [11,70,82,202,203,204,205]. As described above, these regions are implicated in the regulation of aggression, impulsivity, and repetitive behaviours, all of which are disrupted in patients with SIB. Reports show that high-frequency stimulation of these targets and networks may improve SIB symptomology [68,202,203]. The stimulation of spatially distant targets may modulate a convergent common network of distant brain areas, including the amygdala, insula, and anterior cingulate [70].
The basolateral amygdala (BLA) has received increasing attention as a DBS target due to its critical role in regulating emotional processing, aggression, and fear responses [206]. In a pioneering case report, Sturm et al. successfully applied DBS in the BLA of a teenage patient with severe Kanner’s autism and life-threatening SIB [207]. The patient, who had previously been unresponsive to pharmacological and behavioural interventions, exhibited a substantial reduction in SIB severity and broader improvements in core symptoms of ASD [207]. The most significant improvements were observed when stimulation was restricted to the BLA, with no beneficial effects noted from stimulation of adjacent regions, such as the central amygdala or supra-amygdaloid projection system [207]. The observed improvements align with the hypothesised role of the BLA as a central hub for integrating sensory and emotional information, suggesting that dysregulation of BLA circuits contributes to the pathogenesis of SIB and ASD-related symptoms [207].
Mechanistically, BLA-DBS is thought to restore balance within excitatory and inhibitory circuits, particularly through modulation of GABAergic and glutamatergic signalling [207,208,209]. Hyperexcitable states within the amygdala, arising from reduced GABAergic inhibition, have been linked to heightened emotional reactivity and maladaptive behaviours [207,208,209]. By interfering with these hyperactive networks, BLA-DBS may suppress SIB’s emotional and impulsive drivers. Additionally, the therapeutic effects of BLA-DBS may involve broader network-level changes, as the BLA is highly interconnected with regions such as the PFC, orbitofrontal cortex, and striatum [206].
The posterior hypothalamus (pHyp) has emerged as a prominent target for DBS in treatment-refractory SIB and aggression, owing to its central role in autonomic regulation and its involvement in aggression-related circuits [11,82,203,204,205,210,211,212,213]. Clinical studies have demonstrated substantial reductions in the frequency and severity of aggressive behaviours following pHyp-DBS. In a recent multicenter analysis, we reported symptom improvement in 91% of patients with severe refractory aggression, with reductions ranging from 38% to 100% [203]. In addition to improved behavioural outcomes, patients exhibited reduced agitation and significantly enhanced overall quality of life [11,82,203,204,205,210,211,212,213]. Notably, in patients with comorbid epilepsy, a marked decrease in seizure frequency is also observed following pHyp-DBS, indicating broader therapeutic effects [203,204,210].
Functional connectivity analyses identified strong links between the pHyp and regions critical to aggression regulation, particularly the periaqueductal grey and key limbic structures, as predictors of treatment response [203]. Additionally, connectivity with brainstem nuclei responsible for monoamine synthesis—including the dorsal raphe nuclei (5-HT), substantia nigra and ventral tegmental area (DA), and the locus coeruleus (norepinephrine)—was strongly associated with symptom improvement [203,204]. These findings underscore the role of the posterior hypothalamus as a critical hub within a broader aggression-modulating network, mediating its therapeutic effects through extensive connections with the limbic system and brainstem monoaminergic pathways.
The nAcc, a key structure within the ventral striatum, plays a central role in reward processing, impulsivity, and motor control [68,70,202,214]. Its involvement in integrating dopaminergic reinforcement signals within the mesolimbic reward pathway makes it a critical target for DBS in neuropsychiatric conditions marked by impaired inhibitory control and by dysfunction in frontostriatal dynamics, such as OCD, addiction, and mood disorders [214,215,216,217,218]. In the context of SIB, we recently reported the results of phase I clinical trial investigating nAcc-DBS in a cohort of paediatric patients, showing that stimulation of the nAcc led to significant reductions in SIB severity and associated repetitive behaviours, with concurrent improvements in quality of life and decreased reliance on physical restraints [202]. Neuroimaging evaluation following nAcc-DBS revealed decreased abnormal metabolic activity in the thalamus, striatum, and temporoinsular cortex [202]. This indicates that the therapeutic effects may stem from normalising hyperactive cortico-striatal circuits implicated in SIB [202]. These findings highlight the nAcc as a promising neuromodulatory target for SIB, particularly in cases refractory to conventional treatments. By influencing dopamine-mediated reward pathways and regulating frontostriatal activity, nAcc-DBS has the potential to address the impulsive and repetitive components of SIB while improving overall behavioural regulation.
While DBS of key nodes along the fronto-limbic-striatal network has shown significant promise for managing severe, treatment-resistant SIB, several challenges remain. Optimal stimulation parameters, target selection, and patient-specific predictors of treatment response require further investigation through larger, well-controlled clinical trials. Additionally, long-term studies are needed to assess the durability of DBS effects and potential adverse outcomes, particularly in paediatric populations.

5.4. Molecular-Targeted Therapies

Recent advances in molecular biology have identified potential targets for novel therapies. Dysregulation in glutamatergic signalling within cortico-striatal circuits has been addressed using metabotropic glutamate receptor 5 (mGluR5) antagonists, which reduce repetitive and injurious behaviours in preclinical models [124,219,220]. These findings suggest modulating glutamatergic excitability could mitigate SIB across neurological, neurodevelopmental, and neuropsychiatric conditions. Other promising targets include neuropeptides, such as oxytocin, which have garnered interest for their role in modulating social behaviour and emotional regulation [221]. Preclinical studies suggest that oxytocin administration may reduce SIB by enhancing prosocial interactions and improving stress reactivity. In patients with ASD, oxytocin administration led to improvement in eye contact and emotion recognition measures; however, chronic use was associated with the development of side effects [222,223].
Adenosine receptor signalling, particularly involving A2A receptors, has emerged as a promising target for mitigating repetitive and SIB by restoring striatal function and regulating excitatory-inhibitory balance [224,225]. The adenosinergic system is critical in modulating neurotransmission, interacting closely with DA and glutamate systems, particularly within cortico-striatal circuits implicated in motor control and behavioural regulation [224]. Dysfunction in the adenosine-DA interplay has been linked to hyperactivity within the direct pathway and impaired inhibitory control [95,224,225]. Pharmacological studies have demonstrated that A2A receptor agonists can effectively reduce repetitive behaviours by modulating the overactive striatal circuits and restoring the balance between excitatory glutamatergic and inhibitory GABAergic signalling [95,224,225]. This effect has been particularly notable when combined with A1 receptor modulation, further enhancing the inhibitory tone and normalising cortico-striatal dynamics [95,224,225].
The management of SIB requires a multifaceted approach that integrates psychosocial interventions, pharmacotherapy, neuromodulation, and emerging molecular-targeted therapies. While behavioural strategies remain the foundation of treatment, advances in understanding SIB’s neurobiological and molecular basis provide exciting opportunities for targeted, precision-based interventions. Future research should prioritise large-scale clinical trials and translational studies to optimise treatment efficacy and address the unique needs of individuals affected by this debilitating behaviour.

6. Conclusions and Future Directions

SIB represents a severe form of aggression that profoundly impacts patients, caregivers, and healthcare systems [226,227]. Its high prevalence across neurodevelopmental, neuropsychiatric, and genetic disorders underscores the urgent need for a deeper understanding of its underlying mechanisms to inform more effective therapeutic strategies [13,14]. This review has synthesized evidence from clinical, preclinical, and translational studies to provide a comprehensive overview of the neurobiological basis, etiological factors, animal models, and treatment approaches for SIB.
The genetic and epigenetic contributions to SIB highlight the interplay between inherited susceptibility, molecular alterations, and environmental influences [18,19]. Genetic mutations and polymorphisms in key pathways and epigenetic modifications provide critical links between environmental stressors and gene expression changes that exacerbate vulnerability to SIB [18,19]. Understanding these gene-environment interactions is essential for identifying specific biomarkers and developing novel precision-based therapeutic strategies targeting these molecular disruptions. Future research should prioritize multiomic approaches, including genomic, epigenomic, and transcriptomic studies, to better elucidate the biological underpinnings of SIB.
The neurobiology of SIB reflects a convergence of neurotransmitter dysregulation, notably within dopaminergic, serotonergic, glutamatergic, and GABAergic systems, and structural and functional abnormalities in fronto-limbic-striatal circuits [17,68,69,70]. These findings are supported by insights gained from both human studies and validated animal models, which highlight the interaction between genetic predispositions, epigenetic regulation, and environmental stressors in driving this complex behaviour [29,108]. Continued use of animal models, coupled with innovative techniques such as optogenetics, chemogenetics, and in vivo imaging, will enable precise dissection of circuit-level dynamics and molecular targets underlying SIB. This work remains critical for bridging the gap between preclinical findings and clinical applications.
In terms of treatment, a multifaceted approach integrating psychosocial, pharmacological, and neuromodulatory interventions is essential for addressing the complexity of SIB [68,86,187,188]. Behavioural therapies remain the gold standard for managing SIB, particularly when tailored to individual triggers and environmental contexts [68,86,187,188]. Pharmacological treatments provide symptomatic relief but require careful monitoring for side effects, especially in paediatric populations [189,191,192]. Emerging molecular-targeted therapies promise to restore excitatory-inhibitory balance and reduce repetitive behaviours [220,224]. Neuromodulation techniques targeting key nodes within the fronto-limbic-striatal network have resulted in substantial reductions in SIB severity, improved quality of life, and enhanced functional outcomes [11,70,82,202,203,204,205]. Future research should focus on optimising stimulation parameters, refining patient selection criteria, and elucidating the long-term effects of neuromodulation, particularly in vulnerable populations such as children and individuals with severe intellectual disabilities.
Looking ahead, translational research that integrates molecular biology, neuroimaging, and circuit-level analyses will be pivotal for developing precision-based interventions. Large-scale, longitudinal studies are needed to identify reliable biomarkers for SIB, improve early detection, and evaluate the efficacy of emerging therapies in diverse patient populations. Furthermore, a systems-level approach that considers the interaction between genetic, environmental, and neurobiological factors will deepen our understanding of shared mechanisms across neuropsychiatric conditions.
In conclusion, while significant strides have been made in understanding the neurobiology and treatment of SIB, substantial gaps remain. By leveraging advances in preclinical models, molecular-targeted therapies, and neuromodulation techniques, future research can transform the clinical management of SIB. A multidisciplinary, personalised approach that targets the root causes of SIB, rather than simply alleviating its symptoms, promises to improve outcomes for individuals affected by this debilitating behaviour.

Author Contributions

K.Z. conducted the literature review, wrote and revised the initial draft of the manuscript, and contributed to the conceptualisation of the study. G.M.I. contributed to the manuscript by providing critical insights and revising the manuscript. F.V.G. supervised the study, contributed to its conceptualisation and design, and critically revised the manuscript for intellectual content. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

No new data were created or analysed in this study.

Acknowledgments

This research was supported by grants from the Canadian Institutes of Health Research (CIHR) to FVG (#472484). The Rising Star Award in Autism Research to FVG has been made possible by the Brain Canada Foundation and the Shireen and Edna Marcus Foundation. This work was also funded by the Abe Bresver Chair in Functional Neurosurgery (GMI).

Conflicts of Interest

George M. Ibrahim has served on advisory boards and received honoraria from LivaNova Inc., Synergia Inc., and Medtronic Inc. George M. Ibrahim receives investigator-initiated funding from LivaNova Inc. The remaining authors report no conflict of interest.

References

  1. Shawler, L.A.; Becraft, J.L.; Hagopian, L.P. Self-Injurious Behavior. In Handbook of Clinical Child Psychology; Springer International Publishing: Cham, Switzerland, 2023; pp. 811–828. ISBN 9783031249259. [Google Scholar]
  2. Adler, B.A.; Wink, L.K.; Early, M.; Shaffer, R.; Minshawi, N.; McDougle, C.J.; Erickson, C.A. Drug-Refractory Aggression, Self-Injurious Behavior, and Severe Tantrums in Autism Spectrum Disorders: A Chart Review Study. Autism 2015, 19, 102–106. [Google Scholar] [CrossRef]
  3. Buono, S.; Scannella, F.; Palmigiano, M.B.; Elia, M.; Kerr, M.; Di Nuovo, S. Self-Injury in People with Intellectual Disability and Epilepsy: A Matched Controlled Study. Seizure 2012, 21, 160–164. [Google Scholar] [CrossRef] [PubMed]
  4. Liu, R.T.; Cheek, S.M.; Nestor, B.A. Non-Suicidal Self-Injury and Life Stress: A Systematic Meta-Analysis and Theoretical Elaboration. Clin. Psychol. Rev. 2016, 47, 1–14. [Google Scholar] [CrossRef] [PubMed]
  5. Wilkinson, P. Non-Suicidal Self-Injury. Eur. Child Adolesc. Psychiatry 2013, 22 (Suppl. S1), S75–S79. [Google Scholar] [CrossRef] [PubMed]
  6. Bunclark, J.; Crowe, M. Repeated Self-Injury and Its Management. Int. Rev. Psychiatry 2000, 12, 48–53. [Google Scholar] [CrossRef]
  7. Minshawi, N.F.; Hurwitz, S.; Fodstad, J.C.; Biebl, S.; Morriss, D.H.; McDougle, C.J. The Association between Self-Injurious Behaviors and Autism Spectrum Disorders. Psychol. Res. Behav. Manag. 2014, 7, 125–136. [Google Scholar] [CrossRef]
  8. Crawford, H.; Karakatsani, E.; Singla, G.; Oliver, C. The Persistence of Self-Injurious and Aggressive Behavior in Males with Fragile X Syndrome Over 8 Years: A Longitudinal Study of Prevalence and Predictive Risk Markers. J. Autism Dev. Disord. 2019, 49, 2913–2922. [Google Scholar] [CrossRef]
  9. Lesch, M.; Nyhan, W.L. A Familial Disorder of Uric Acid Metabolism and Central Nervous System Function. Am. J. Med. 1964, 36, 561–570. [Google Scholar] [CrossRef] [PubMed]
  10. Symons, F.J.; Butler, M.G.; Sanders, M.D.; Feurer, I.D.; Thompson, T. Self-Injurious Behavior and Prader-Willi Syndrome: Behavioral Forms and Body Locations. Am. J. Ment. Retard. 1999, 104, 260–269. [Google Scholar] [CrossRef]
  11. López Ríos, A.L.; Germann, J.; Hutchison, W.D.; Botero Posada, L.F.; Ahunca Velasquez, L.F.; Garcia Jimenez, F.A.; Gloria Escobar, J.M.; Chacon Ruiz Martinez, R.; Hamani, C.; Lebrun, I.; et al. Long-Term Follow-Up on Bilateral Posterior Hypothalamic Deep Brain Stimulation for Treating Refractory Aggressive Behavior in a Patient with Cri Du Chat Syndrome: Analysis of Clinical Data, Intraoperative Microdialysis, and Imaging Connectomics. Stereotact. Funct. Neurosurg. 2022, 100, 275–281. [Google Scholar] [CrossRef] [PubMed]
  12. Hyman, P.; Oliver, C.; Hall, S. Self-Injurious Behavior, Self-Restraint, and Compulsive Behaviors in Cornelia de Lange Syndrome. Am. J. Ment. Retard. 2002, 107, 146–154. [Google Scholar] [CrossRef]
  13. Cooper, S.-A.; Smiley, E.; Allan, L.M.; Jackson, A.; Finlayson, J.; Mantry, D.; Morrison, J. Adults with Intellectual Disabilities: Prevalence, Incidence and Remission of Self-Injurious Behaviour, and Related Factors. J. Intellect. Disabil. Res. 2009, 53, 200–216. [Google Scholar] [CrossRef]
  14. Rojahn, J.; Meier, L.J. Epidemiology of Mental Illness and Maladaptive Behavior in Intellectual Disabilities. In International Review of Research in Mental Retardation; International Review of Research in Mental Retardation; Elsevier: Amsterdam, The Netherlands, 2009; pp. 239–287. ISBN 9780123744678. [Google Scholar]
  15. Huisman, S.; Mulder, P.; Kuijk, J.; Kerstholt, M.; van Eeghen, A.; Leenders, A.; van Balkom, I.; Oliver, C.; Piening, S.; Hennekam, R. Self-Injurious Behavior. Neurosci. Biobehav. Rev. 2018, 84, 483–491. [Google Scholar] [CrossRef] [PubMed]
  16. Sandman, C.A.; Kemp, A.S.; Mabini, C.; Pincus, D.; Magnusson, M. The Role of Self-Injury in the Organisation of Behaviour. J. Intellect. Disabil. Res. 2012, 56, 516–526. [Google Scholar] [CrossRef] [PubMed]
  17. Furniss, F.; Biswas, A.B. Neurobiology of Self-Injurious Behavior. In Self-Injurious Behavior in Individuals with Neurodevelopmental Conditions; Springer International Publishing: Cham, Switzerland, 2020; pp. 51–110. ISBN 9783030360153. [Google Scholar]
  18. Kibitov, A.A.; Mazo, G.E. Genetics and Epigenetics of Nonsuicidal Self-Injury: A Narrative Review. Russ. J. Genet. 2023, 59, 1265–1276. [Google Scholar] [CrossRef]
  19. Lewis, M.; Kim, S.-J. The Pathophysiology of Restricted Repetitive Behavior. J. Neurodev. Disord. 2009, 1, 114–132. [Google Scholar] [CrossRef] [PubMed]
  20. Richards, C.; Oliver, C.; Nelson, L.; Moss, J. Self-Injurious Behaviour in Individuals with Autism Spectrum Disorder and Intellectual Disability. J. Intellect. Disabil. Res. 2012, 56, 476–489. [Google Scholar] [CrossRef] [PubMed]
  21. Oliver, C.; Richards, C. Self-Injurious Behaviour in People with Intellectual Disability. Curr. Opin. Psychiatry 2010, 23, 412–416. [Google Scholar] [CrossRef] [PubMed]
  22. Meszaros, G.; Horvath, L.O.; Balazs, J. Self-Injury and Externalizing Pathology: A Systematic Literature Review. BMC Psychiatry 2017, 17, 160. [Google Scholar] [CrossRef]
  23. Klonsky, E.D.; Muehlenkamp, J.J. Self-Injury: A Research Review for the Practitioner. J. Clin. Psychol. 2007, 63, 1045–1056. [Google Scholar] [CrossRef]
  24. Duffy, D.F. Self-Injury. Psychiatry 2006, 5, 263–265. [Google Scholar] [CrossRef]
  25. Totsika, V.; Toogood, S.; Hastings, R.P.; Lewis, S. Persistence of Challenging Behaviours in Adults with Intellectual Disability over a Period of 11 Years. J. Intellect. Disabil. Res. 2008, 52, 446–457. [Google Scholar] [CrossRef]
  26. Baghdadli, A.; Pascal, C.; Grisi, S.; Aussilloux, C. Risk Factors for Self-Injurious Behaviours among 222 Young Children with Autistic Disorders. J. Intellect. Disabil. Res. 2003, 47, 622–627. [Google Scholar] [CrossRef]
  27. Hagopian, L.P.; Rooker, G.W.; Zarcone, J.R. Delineating Subtypes of Self-Injurious Behavior Maintained by Automatic Reinforcement. J. Appl. Behav. Anal. 2015, 48, 523–543. [Google Scholar] [CrossRef] [PubMed]
  28. Sher, L.; Stanley, B. Biological Models of Nonsuicidal Self-Injury. In Understanding Nonsuicidal Self-Injury: Origins, Assessment, and Treatment; American Psychological Association: Washington, DC, USA, 2009; pp. 99–116. ISBN 9781433804366. [Google Scholar]
  29. Devine, D.P. The Neuropathology of Self-Injurious Behavior: Studies Using Animal Models. Brain Res. 2024, 1844, 149172. [Google Scholar] [CrossRef] [PubMed]
  30. Domínguez-Baleón, C.; Gutiérrez-Mondragón, L.F.; Campos-González, A.I.; Rentería, M.E. Neuroimaging Studies of Suicidal Behavior and Non-Suicidal Self-Injury in Psychiatric Patients: A Systematic Review. Front. Psychiatry 2018, 9, 500. [Google Scholar] [CrossRef] [PubMed]
  31. Brañas, M.J.A.A.; Croci, M.S.; Ravagnani Salto, A.B.; Doretto, V.F.; Martinho, E., Jr.; Macedo, M.; Miguel, E.C.; Roever, L.; Pan, P.M. Neuroimaging Studies of Nonsuicidal Self-Injury in Youth: A Systematic Review. Life 2021, 11, 729. [Google Scholar] [CrossRef]
  32. Dusi, N.; Bracco, L.; Bressi, C.; Delvecchio, G.; Brambilla, P. Imaging Associations of Self-Injurious Behaviours amongst Patients with Borderline Personality Disorder: A Mini-Review. J. Affect. Disord. 2021, 295, 781–787. [Google Scholar] [CrossRef] [PubMed]
  33. Huang, X.; Rootes-Murdy, K.; Bastidas, D.M.; Nee, D.E.; Franklin, J.C. Brain Differences Associated with Self-Injurious Thoughts and Behaviors: A Meta-Analysis of Neuroimaging Studies. Sci. Rep. 2020, 10, 2404. [Google Scholar] [CrossRef]
  34. Arron, K.; Oliver, C.; Moss, J.; Berg, K.; Burbidge, C. The Prevalence and Phenomenology of Self-Injurious and Aggressive Behaviour in Genetic Syndromes. J. Intellect. Disabil. Res. 2011, 55, 109–120. [Google Scholar] [CrossRef]
  35. Bolton, P.F.; Dennis, N.R.; Browne, C.E.; Thomas, N.S.; Veltman, M.W.; Thompson, R.J.; Jacobs, P. The Phenotypic Manifestations of Interstitial Duplications of Proximal 15q with Special Reference to the Autistic Spectrum Disorders. Am. J. Med. Genet. 2001, 105, 675–685. [Google Scholar] [CrossRef] [PubMed]
  36. Bolton, P.F.; Veltman, M.W.M.; Weisblatt, E.; Holmes, J.R.; Thomas, N.S.; Youings, S.A.; Thompson, R.J.; Roberts, S.E.; Dennis, N.R.; Browne, C.E.; et al. Chromosome 15q11-13 Abnormalities and Other Medical Conditions in Individuals with Autism Spectrum Disorders. Psychiatr. Genet. 2004, 14, 131–137. [Google Scholar] [CrossRef] [PubMed]
  37. Li, X. Unravelling the Role of SHANK3 Mutations in Targeted Therapies for Autism Spectrum Disorders. Discov. Psychol. 2024, 4, 495. [Google Scholar] [CrossRef]
  38. Evans, J.; Battersby, S.; Ogilvie, A.D.; Smith, C.A.; Harmar, A.J.; Nutt, D.J.; Goodwin, G.M. Association of Short Alleles of a VNTR of the Serotonin Transporter Gene with Anxiety Symptoms in Patients Presenting after Deliberate Self Harm. Neuropharmacology 1997, 36, 439–443. [Google Scholar] [CrossRef] [PubMed]
  39. Evans, J.; Reeves, B.; Platt, H.; Leibenau, A.; Goldman, D.; Jefferson, K.; Nutt, D. Impulsiveness, Serotonin Genes and Repetition of Deliberate Self-Harm (DSH). Psychol. Med. 2000, 30, 1327–1334. [Google Scholar] [CrossRef] [PubMed]
  40. Joyce, P.R.; McKenzie, J.M.; Mulder, R.T.; Luty, S.E.; Sullivan, P.F.; Miller, A.L.; Kennedy, M.A. Genetic, Developmental and Personality Correlates of Self-Mutilation in Depressed Patients. Aust. N. Z. J. Psychiatry 2006, 40, 225–229. [Google Scholar] [CrossRef] [PubMed]
  41. Gao, Y.; Xiong, Y.; Liu, X.; Wang, H. The Effects of Childhood Maltreatment on Non-Suicidal Self-Injury in Male Adolescents: The Moderating Roles of the Monoamine Oxidase A (MAOA) Gene and the Catechol-O-Methyltransferase (COMT) Gene. Int. J. Environ. Res. Public Health 2021, 18, 495. [Google Scholar] [CrossRef] [PubMed]
  42. Steiger, H.; Fichter, M.; Bruce, K.R.; Joober, R.; Badawi, G.; Richardson, J.; Groleau, P.; Ramos, C.; Israel, M.; Bondy, B.; et al. Molecular-Genetic Correlates of Self-Harming Behaviors in Eating-Disordered Women: Findings from a Combined Canadian-German Sample. Prog. Neuropsychopharmacol. Biol. Psychiatry 2011, 35, 102–106. [Google Scholar] [CrossRef]
  43. Bresin, K.; Sima Finy, M.; Verona, E. Childhood Emotional Environment and Self-Injurious Behaviors: The Moderating Role of the BDNF Val66Met Polymorphism. J. Affect. Disord. 2013, 150, 594–600. [Google Scholar] [CrossRef]
  44. Li, C.; Liang, X.; Cheng, S.; Wen, Y.; Pan, C.; Zhang, H.; Chen, Y.; Zhang, J.; Zhang, Z.; Yang, X.; et al. A Multi-Environments-Gene Interaction Study of Anxiety, Depression and Self-Harm in the UK Biobank Cohort. J. Psychiatr. Res. 2022, 147, 59–66. [Google Scholar] [CrossRef] [PubMed]
  45. Lim, K.X.; Rijsdijk, F.; Hagenaars, S.P.; Socrates, A.; Choi, S.W.; Coleman, J.R.I.; Glanville, K.P.; Lewis, C.M.; Pingault, J.-B. Studying Individual Risk Factors for Self-Harm in the UK Biobank: A Polygenic Scoring and Mendelian Randomisation Study. PLoS Med. 2020, 17, e1003137. [Google Scholar] [CrossRef] [PubMed]
  46. Russell, A.E.; Hemani, G.; Jones, H.J.; Ford, T.; Gunnell, D.; Heron, J.; Joinson, C.; Moran, P.; Relton, C.; Suderman, M.; et al. An Exploration of the Genetic Epidemiology of Non-Suicidal Self-Harm and Suicide Attempt. BMC Psychiatry 2021, 21, 207. [Google Scholar] [CrossRef] [PubMed]
  47. Warrier, V.; Baron-Cohen, S. Childhood Trauma, Life-Time Self-Harm, and Suicidal Behaviour and Ideation Are Associated with Polygenic Scores for Autism. Mol. Psychiatry 2021, 26, 1670–1684. [Google Scholar] [CrossRef] [PubMed]
  48. Campos, A.I.; Verweij, K.J.H.; Statham, D.J.; Madden, P.A.F.; Maciejewski, D.F.; Davis, K.A.S.; John, A.; Hotopf, M.; Heath, A.C.; Martin, N.G.; et al. Genetic Aetiology of Self-Harm Ideation and Behaviour. Sci. Rep. 2020, 10, 9713. [Google Scholar] [CrossRef] [PubMed]
  49. Hankin, B.L.; Barrocas, A.L.; Young, J.F.; Haberstick, B.; Smolen, A. 5-HTTLPR × Interpersonal Stress Interaction and Nonsuicidal Self-Injury in General Community Sample of Youth. Psychiatry Res. 2015, 225, 609–612. [Google Scholar] [CrossRef] [PubMed]
  50. Kolevzon, A.; Lim, T.; Schmeidler, J.; Martello, T.; Cook, E.H., Jr.; Silverman, J.M. Self-Injury in Autism Spectrum Disorder: An Effect of Serotonin Transporter Gene Promoter Variants. Psychiatry Res. 2014, 220, 987–990. [Google Scholar] [CrossRef] [PubMed]
  51. Li, Y.; Guo, S.; Xie, X.; Zhang, Y.; Jiao, T.; Wu, Y.; Ma, Y.; Chen, R.; Chen, R.; Yu, Y.; et al. Mediation of DNA Methylation (cg04622888 and cg05037505) in the Association between Childhood Maltreatment and Non-Suicidal Self-Injury in Early Adolescents. Eur. Child Adolesc. Psychiatry 2024. [Google Scholar] [CrossRef] [PubMed]
  52. Grafodatskaya, D.; Chung, B.; Szatmari, P.; Weksberg, R. Autism Spectrum Disorders and Epigenetics. J. Am. Acad. Child Adolesc. Psychiatry 2010, 49, 794–809. [Google Scholar] [CrossRef]
  53. Martín-Blanco, A.; Ferrer, M.; Soler, J.; Salazar, J.; Vega, D.; Andión, O.; Sanchez-Mora, C.; Arranz, M.J.; Ribases, M.; Feliu-Soler, A.; et al. Association between Methylation of the Glucocorticoid Receptor Gene, Childhood Maltreatment, and Clinical Severity in Borderline Personality Disorder. J. Psychiatr. Res. 2014, 57, 34–40. [Google Scholar] [CrossRef]
  54. Wang, L.; Zheng, D.; Liu, L.; Zhong, G.; Bi, X.; Hu, S.; Wang, M.; Qiao, D. Relationship between SIRT1 Gene and Adolescent Depressive Disorder with Nonsuicidal Self-Injury Behavior: Based on Gene Methylation and mRNA Expression. Medicine 2021, 100, e26747. [Google Scholar] [CrossRef] [PubMed]
  55. Ernst, M.; Zametkin, A.J.; Matochik, J.A.; Pascualvaca, D.; Jons, P.H.; Hardy, K.; Hankerson, J.G.; Doudet, D.J.; Cohen, R.M. Presynaptic Dopaminergic Deficits in Lesch-Nyhan Disease. N. Engl. J. Med. 1996, 334, 1568–1572. [Google Scholar] [CrossRef]
  56. Sutcliffe, J.S.; Delahanty, R.J.; Prasad, H.C.; McCauley, J.L.; Han, Q.; Jiang, L.; Li, C.; Folstein, S.E.; Blakely, R.D. Allelic Heterogeneity at the Serotonin Transporter Locus (SLC6A4) Confers Susceptibility to Autism and Rigid-Compulsive Behaviors. Am. J. Hum. Genet. 2005, 77, 265–279. [Google Scholar] [CrossRef]
  57. Brune, C.W.; Kim, S.-J.; Salt, J.; Leventhal, B.L.; Lord, C.; Cook, E.H., Jr. 5-HTTLPR Genotype-Specific Phenotype in Children and Adolescents with Autism. Am. J. Psychiatry 2006, 163, 2148–2156. [Google Scholar] [CrossRef] [PubMed]
  58. Beckett, C.; Bredenkamp, D.; Castle, J.; Groothues, C.; O’Connor, T.G.; Rutter, M. English and Romanian Adoptees (ERA) Study Team Behavior Patterns Associated with Institutional Deprivation: A Study of Children Adopted from Romania. J. Dev. Behav. Pediatr. 2002, 23, 297–303. [Google Scholar] [CrossRef] [PubMed]
  59. Winchel, R.M.; Stanley, M. Self-Injurious Behavior: A Review of the Behavior and Biology of Self-Mutilation. Am. J. Psychiatry 1991, 148, 306–317. [Google Scholar] [PubMed]
  60. Lindauer, S.E.; DeLeon, I.G.; Fisher, W.W. Decreasing Signs of Negative Affect and Correlated Self-Injury in an Individual with Mental Retardation and Mood Disturbances. J. Appl. Behav. Anal. 1999, 32, 103–106. [Google Scholar] [CrossRef] [PubMed]
  61. Schroeder, S.R.; Schroeder, C.S.; Smith, B.; Dalldorf, J. Prevalence of Self-Injurious Behaviors in a Large State Facility for the Retarded: A Three-Year Follow-up Study. J. Autism Child. Schizophr. 1978, 8, 261–269. [Google Scholar] [CrossRef]
  62. Bird, F.; Dores, P.A.; Moniz, D.; Robinson, J. Reducing Severe Aggressive and Self-Injurious Behaviors with Functional Communication Training. Am. J. Ment. Retard. 1989, 94, 37–48. [Google Scholar]
  63. Richards, C.; Moss, J.; Nelson, L.; Oliver, C. Persistence of Self-Injurious Behaviour in Autism Spectrum Disorder over 3 Years: A Prospective Cohort Study of Risk Markers. J. Neurodev. Disord. 2016, 8, 21. [Google Scholar] [CrossRef] [PubMed]
  64. Singh, N.N. Prevalence of Self-Injury in Institutionalised Retarded Children. N. Z. Med. J. 1977, 86, 325–327. [Google Scholar] [PubMed]
  65. Sabus, A.; Feinstein, J.; Romani, P.; Goldson, E.; Blackmer, A. Management of Self-Injurious Behaviors in Children with Neurodevelopmental Disorders: A Pharmacotherapy Overview. Pharmacotherapy 2019, 39, 645–664. [Google Scholar] [CrossRef] [PubMed]
  66. Witt, S.H.; Streit, F.; Jungkunz, M.; Frank, J.; Awasthi, S.; Reinbold, C.S.; Treutlein, J.; Degenhardt, F.; Forstner, A.J.; Heilmann-Heimbach, S.; et al. Genome-Wide Association Study of Borderline Personality Disorder Reveals Genetic Overlap with Bipolar Disorder, Major Depression and Schizophrenia. Transl. Psychiatry 2017, 7, e1155. [Google Scholar] [CrossRef]
  67. Guo, M.G.; Reynolds, D.L.; Ang, C.E.; Liu, Y.; Zhao, Y.; Donohue, L.K.H.; Siprashvili, Z.; Yang, X.; Yoo, Y.; Mondal, S.; et al. Integrative Analyses Highlight Functional Regulatory Variants Associated with Neuropsychiatric Diseases. Nat. Genet. 2023, 55, 1876–1891. [Google Scholar] [CrossRef] [PubMed]
  68. Mithani, K.; Zhang, K.; Yan, H.; Elkaim, L.; Gariscsak, P.J.; Suresh, H.; Gouveia, F.V.; Fasano, A.; Gorodetsky, C.; Ibrahim, G.M. Effect of Deep Brain Stimulation on Comorbid Self-Injurious Behavior: A Systematic Review and Meta-Analysis of Individual Patient Data. Neuromodulation 2024, 24, S1094-7159. [Google Scholar] [CrossRef]
  69. Zhang, K.K.; Matin, R.; Gorodetsky, C.; Ibrahim, G.M.; Gouveia, F.V. Systematic Review of Rodent Studies of Deep Brain Stimulation for the Treatment of Neurological, Developmental and Neuropsychiatric Disorders. Transl. Psychiatry 2024, 14, 186. [Google Scholar] [CrossRef] [PubMed]
  70. Yan, H.; Elkaim, L.M.; Venetucci Gouveia, F.; Huber, J.F.; Germann, J.; Loh, A.; Benedetti-Isaac, J.C.; Doshi, P.K.; Torres, C.V.; Segar, D.J.; et al. Deep Brain Stimulation for Extreme Behaviors Associated with Autism Spectrum Disorder Converges on a Common Pathway: A Systematic Review and Connectomic Analysis. J. Neurosurg. 2022, 137, 699–708. [Google Scholar] [CrossRef] [PubMed]
  71. Wilkes, B.J.; Lewis, M.H. The Neural Circuitry of Restricted Repetitive Behavior: Magnetic Resonance Imaging in Neurodevelopmental Disorders and Animal Models. Neurosci. Biobehav. Rev. 2018, 92, 152–171. [Google Scholar] [CrossRef] [PubMed]
  72. Fischer, J.-F.; Mainka, T.; Worbe, Y.; Pringsheim, T.; Bhatia, K.; Ganos, C. Self-Injurious Behaviour in Movement Disorders: Systematic Review. J. Neurol. Neurosurg. Psychiatry 2020, 91, 712–719. [Google Scholar] [CrossRef] [PubMed]
  73. Stafford, M.; Cavanna, A.E. Prevalence and Clinical Correlates of Self-Injurious Behavior in Tourette Syndrome. Neurosci. Biobehav. Rev. 2020, 113, 299–307. [Google Scholar] [CrossRef] [PubMed]
  74. Stanley, B.; Sher, L.; Wilson, S.; Ekman, R.; Huang, Y.-Y.; Mann, J.J. Non-Suicidal Self-Injurious Behavior, Endogenous Opioids and Monoamine Neurotransmitters. J. Affect. Disord. 2010, 124, 134–140. [Google Scholar] [CrossRef]
  75. Ilyas, U.; Butt, A.; Awan, K.; Asim, J.; Shakoor, M.S.; Fatima, M. Temporal Framework and Biological Indicators of Non-Suicidal Self-Injury and Related Behaviours. Malays. J. Med. Sci. 2024, 31, 218–222. [Google Scholar] [CrossRef] [PubMed]
  76. Horvath, G.A.; Tarailo-Graovac, M.; Bartel, T.; Race, S.; Van Allen, M.I.; Blydt-Hansen, I.; Ross, C.J.; Wasserman, W.W.; Connolly, M.B.; van Karnebeek, C.D.M. Improvement of Self-Injury with Dopamine and Serotonin Replacement Therapy in a Patient with a Hemizygous PAK3 Mutation: A New Therapeutic Strategy for Neuropsychiatric Features of an Intellectual Disability Syndrome. J. Child Neurol. 2018, 33, 106–113. [Google Scholar] [CrossRef] [PubMed]
  77. King, B.H.; Cromwell, H.C.; Lee, H.T.; Behrstock, S.P.; Schmanke, T.; Maidment, N.T. Dopaminergic and Glutamatergic Interactions in the Expression of Self-Injurious Behavior. Dev. Neurosci. 1998, 20, 180–187. [Google Scholar] [CrossRef] [PubMed]
  78. Kraemer, G.W.; Clarke, A.S. The Behavioral Neurobiology of Self-Injurious Behavior in Rhesus Monkeys. Prog. Neuropsychopharmacol. Biol. Psychiatry 1990, 14, S141–S168. [Google Scholar] [CrossRef]
  79. Breese, G.R.; Baumeister, A.A.; McCown, T.J.; Emerick, S.G.; Frye, G.D.; Crotty, K.; Mueller, R.A. Behavioral Differences between Neonatal and Adult 6-Hydroxydopamine-Treated Rats to Dopamine Agonists: Relevance to Neurological Symptoms in Clinical Syndromes with Reduced Brain Dopamine. J. Pharmacol. Exp. Ther. 1984, 231, 343–354. [Google Scholar] [CrossRef]
  80. Breese, G.R.; Baumeister, A.A.; McCown, T.J.; Emerick, S.G.; Frye, G.D.; Mueller, R.A. Neonatal-6-Hydroxydopamine Treatment: Model of Susceptibility for Self-Mutilation in the Lesch-Nyhan Syndrome. Pharmacol. Biochem. Behav. 1984, 21, 459–461. [Google Scholar] [CrossRef] [PubMed]
  81. Sivam, S.P. D1 Dopamine Receptor-Mediated Substance P Depletion in the Striatonigral Neurons of Rats Subjected to Neonatal Dopaminergic Denervation: Implications for Self-Injurious Behavior. Brain Res. 1989, 500, 119–130. [Google Scholar] [CrossRef] [PubMed]
  82. Gouveia, F.V.; Hamani, C.; Fonoff, E.T.; Brentani, H.; Alho, E.J.L.; de Morais, R.M.C.B.; de Souza, A.L.; Rigonatti, S.P.; Martinez, R.C.R. Amygdala and Hypothalamus: Historical Overview with Focus on Aggression. Neurosurgery 2019, 85, 11–30. [Google Scholar] [CrossRef] [PubMed]
  83. Blair, R.J.R. The Neurobiology of Impulsive Aggression. J. Child Adolesc. Psychopharmacol. 2016, 26, 4–9. [Google Scholar] [CrossRef] [PubMed]
  84. Desrochers, S.S.; Spring, M.G.; Nautiyal, K.M. A Role for Serotonin in Modulating Opposing Drive and Brake Circuits of Impulsivity. Front. Behav. Neurosci. 2022, 16, 791749. [Google Scholar] [CrossRef] [PubMed]
  85. Harika-Germaneau, G.; Lafay-Chebassier, C.; Langbour, N.; Thirioux, B.; Wassouf, I.; Noël, X.; Jaafari, N.; Chatard, A. Preliminary Evidence That the Short Allele of 5-HTTLPR Moderates the Association of Psychiatric Symptom Severity on Suicide Attempt: The Example in Obsessive-Compulsive Disorder. Front. Psychiatry 2022, 13, 770414. [Google Scholar] [CrossRef] [PubMed]
  86. Turner, B.J.; Austin, S.B.; Chapman, A.L. Treating Nonsuicidal Self-Injury: A Systematic Review of Psychological and Pharmacological Interventions. Can. J. Psychiatry 2014, 59, 576–585. [Google Scholar] [CrossRef] [PubMed]
  87. Halicka, J.; Szewczuk-Bogusławska, M.; Adamska, A.; Misiak, B. Neurobiology of the Association between Non-Suicidal Self-Injury, Suicidal Behavior and Emotional Intelligence: A Review. Arch. Psychiatry Psychother. 2020, 22, 25–35. [Google Scholar] [CrossRef]
  88. Felthous, A.R.; Nassif, J. CNS Glutamate in Impulsive Aggression. In Glutamate and Neuropsychiatric Disorders; Springer International Publishing: Cham, Switzerland, 2022; pp. 283–311. ISBN 9783030874797. [Google Scholar]
  89. Presti, M.F.; Gibney, B.C.; Lewis, M.H. Effects of Intrastriatal Administration of Selective Dopaminergic Ligands on Spontaneous Stereotypy in Mice. Physiol. Behav. 2004, 80, 433–439. [Google Scholar] [CrossRef] [PubMed]
  90. Tanimura, Y.; Vaziri, S.; Lewis, M.H. Indirect Basal Ganglia Pathway Mediation of Repetitive Behavior: Attenuation by Adenosine Receptor Agonists. Behav. Brain Res. 2010, 210, 116–122. [Google Scholar] [CrossRef]
  91. Westlund Schreiner, M.; Klimes-Dougan, B.; Mueller, B.A.; Eberly, L.E.; Reigstad, K.M.; Carstedt, P.A.; Thomas, K.M.; Hunt, R.H.; Lim, K.O.; Cullen, K.R. Multi-Modal Neuroimaging of Adolescents with Non-Suicidal Self-Injury: Amygdala Functional Connectivity. J. Affect. Disord. 2017, 221, 47–55. [Google Scholar] [CrossRef]
  92. Langen, M.; Bos, D.; Noordermeer, S.D.S.; Nederveen, H.; van Engeland, H.; Durston, S. Changes in the Development of Striatum Are Involved in Repetitive Behavior in Autism. Biol. Psychiatry 2014, 76, 405–411. [Google Scholar] [CrossRef] [PubMed]
  93. Westlund Schreiner, M.; Klimes-Dougan, B.; Begnel, E.D.; Cullen, K.R. Conceptualizing the Neurobiology of Non-Suicidal Self-Injury from the Perspective of the Research Domain Criteria Project. Neurosci. Biobehav. Rev. 2015, 57, 381–391. [Google Scholar] [CrossRef] [PubMed]
  94. Peters, S.K.; Dunlop, K.; Downar, J. Cortico-Striatal-Thalamic Loop Circuits of the Salience Network: A Central Pathway in Psychiatric Disease and Treatment. Front. Syst. Neurosci. 2016, 10, 104. [Google Scholar] [CrossRef]
  95. Muehlmann, A.M.; Lewis, M.H. Abnormal Repetitive Behaviours: Shared Phenomenology and Pathophysiology. J. Intellect. Disabil. Res. 2012, 56, 427–440. [Google Scholar] [CrossRef] [PubMed]
  96. Duerden, E.G.; Card, D.; Roberts, S.W.; Mak-Fan, K.M.; Chakravarty, M.M.; Lerch, J.P.; Taylor, M.J. Self-Injurious Behaviours Are Associated with Alterations in the Somatosensory System in Children with Autism Spectrum Disorder. Brain Struct. Funct. 2014, 219, 1251–1261. [Google Scholar] [CrossRef]
  97. Hegarty, J.P., 2nd; Pegoraro, L.F.L.; Lazzeroni, L.C.; Raman, M.M.; Hallmayer, J.F.; Monterrey, J.C.; Cleveland, S.C.; Wolke, O.N.; Phillips, J.M.; Reiss, A.L.; et al. Genetic and Environmental Influences on Structural Brain Measures in Twins with Autism Spectrum Disorder. Mol. Psychiatry 2020, 25, 2556–2566. [Google Scholar] [CrossRef] [PubMed]
  98. Hau, J.; Aljawad, S.; Baggett, N.; Fishman, I.; Carper, R.A.; Müller, R.-A. The Cingulum and Cingulate U-Fibers in Children and Adolescents with Autism Spectrum Disorders. Hum. Brain Mapp. 2019, 40, 3153–3164. [Google Scholar] [CrossRef] [PubMed]
  99. Duan, X.; Wang, R.; Xiao, J.; Li, Y.; Huang, X.; Guo, X.; Cao, J.; He, L.; He, C.; Ling, Z.; et al. Subcortical Structural Covariance in Young Children with Autism Spectrum Disorder. Prog. Neuropsychopharmacol. Biol. Psychiatry 2020, 99, 109874. [Google Scholar] [CrossRef] [PubMed]
  100. Wolff, J.J.; Hazlett, H.C.; Lightbody, A.A.; Reiss, A.L.; Piven, J. Repetitive and Self-Injurious Behaviors: Associations with Caudate Volume in Autism and Fragile X Syndrome. J. Neurodev. Disord. 2013, 5, 12. [Google Scholar] [CrossRef] [PubMed]
  101. Tian, J.; Gao, X.; Yang, L. Repetitive Restricted Behaviors in Autism Spectrum Disorder: From Mechanism to Development of Therapeutics. Front. Neurosci. 2022, 16, 780407. [Google Scholar] [CrossRef] [PubMed]
  102. Smithuis, L.; Kool-Goudzwaard, N.; de Man-van Ginkel, J.M.; van Os-Medendorp, H.; Berends, T.; Dingemans, A.; Claes, L.; van Elburg, A.A.; van Meijel, B. Self-Injurious Behaviour in Patients with Anorexia Nervosa: A Quantitative Study. J. Eat Disord. 2018, 6, 26. [Google Scholar] [CrossRef] [PubMed]
  103. Summers, J.; Shahrami, A.; Cali, S.; D’Mello, C.; Kako, M.; Palikucin-Reljin, A.; Savage, M.; Shaw, O.; Lunsky, Y. Self-Injury in Autism Spectrum Disorder and Intellectual Disability: Exploring the Role of Reactivity to Pain and Sensory Input. Brain Sci. 2017, 7, 495. [Google Scholar] [CrossRef] [PubMed]
  104. Ellegood, J.; Babineau, B.A.; Henkelman, R.M.; Lerch, J.P.; Crawley, J.N. Neuroanatomical Analysis of the BTBR Mouse Model of Autism Using Magnetic Resonance Imaging and Diffusion Tensor Imaging. Neuroimage 2013, 70, 288–300. [Google Scholar] [CrossRef] [PubMed]
  105. Wilkes, B.J.; Bass, C.; Korah, H.; Febo, M.; Lewis, M.H. Volumetric Magnetic Resonance and Diffusion Tensor Imaging of C58/J Mice: Neural Correlates of Repetitive Behavior. Brain Imaging Behav. 2020, 14, 2084–2096. [Google Scholar] [CrossRef]
  106. Breese, G.R.; Criswell, H.E.; Mueller, R.A. Evidence That Lack of Brain Dopamine during Development Can Increase the Susceptibility for Aggression and Self-Injurious Behavior by Influencing D1-Dopamine Receptor Function. Prog. Neuropsychopharmacol. Biol. Psychiatry 1990, 14, S65–S80. [Google Scholar] [CrossRef]
  107. Breese, G.R.; Criswell, H.E.; Duncan, G.E.; Mueller, R.A. Dopamine Deficiency in Self-Injurious Behavior. Psychopharmacol. Bull. 1989, 25, 353–357. [Google Scholar] [PubMed]
  108. Devine, D.P. Animal Models of Self-Injurious Behavior: An Update. Methods Mol. Biol. 2019, 2011, 41–60. [Google Scholar] [PubMed]
  109. Peça, J.; Feliciano, C.; Ting, J.T.; Wang, W.; Wells, M.F.; Venkatraman, T.N.; Lascola, C.D.; Fu, Z.; Feng, G. Shank3 Mutant Mice Display Autistic-like Behaviours and Striatal Dysfunction. Nature 2011, 472, 437–442. [Google Scholar] [CrossRef] [PubMed]
  110. Durand, C.M.; Betancur, C.; Boeckers, T.M.; Bockmann, J.; Chaste, P.; Fauchereau, F.; Nygren, G.; Rastam, M.; Gillberg, I.C.; Anckarsäter, H.; et al. Mutations in the Gene Encoding the Synaptic Scaffolding Protein SHANK3 Are Associated with Autism Spectrum Disorders. Nat. Genet. 2007, 39, 25–27. [Google Scholar] [CrossRef] [PubMed]
  111. Bey, A.L.; Wang, X.; Yan, H.; Kim, N.; Passman, R.L.; Yang, Y.; Cao, X.; Towers, A.J.; Hulbert, S.W.; Duffney, L.J.; et al. Brain Region-Specific Disruption of Shank3 in Mice Reveals a Dissociation for Cortical and Striatal Circuits in Autism-Related Behaviors. Transl. Psychiatry 2018, 8, 94. [Google Scholar] [CrossRef]
  112. Ip, J.P.K.; Mellios, N.; Sur, M. Rett Syndrome: Insights into Genetic, Molecular and Circuit Mechanisms. Nat. Rev. Neurosci. 2018, 19, 368–382. [Google Scholar] [CrossRef]
  113. Roane, H.S.; Piazza, C.C.; Sgro, G.M.; Volkert, V.M.; Anderson, C.M. Analysis of Aberrant Behaviour Associated with Rett Syndrome. Disabil. Rehabil. 2001, 23, 139–148. [Google Scholar] [PubMed]
  114. Chao, H.-T.; Chen, H.; Samaco, R.C.; Xue, M.; Chahrour, M.; Yoo, J.; Neul, J.L.; Gong, S.; Lu, H.-C.; Heintz, N.; et al. Dysfunction in GABA Signalling Mediates Autism-like Stereotypies and Rett Syndrome Phenotypes. Nature 2010, 468, 263–269. [Google Scholar] [CrossRef]
  115. Samaco, R.C.; Mandel-Brehm, C.; Chao, H.-T.; Ward, C.S.; Fyffe-Maricich, S.L.; Ren, J.; Hyland, K.; Thaller, C.; Maricich, S.M.; Humphreys, P.; et al. Loss of MeCP2 in Aminergic Neurons Causes Cell-Autonomous Defects in Neurotransmitter Synthesis and Specific Behavioral Abnormalities. Proc. Natl. Acad. Sci. USA 2009, 106, 21966–21971. [Google Scholar] [CrossRef]
  116. Fyffe, S.L.; Neul, J.L.; Samaco, R.C.; Chao, H.-T.; Ben-Shachar, S.; Moretti, P.; McGill, B.E.; Goulding, E.H.; Sullivan, E.; Tecott, L.H.; et al. Deletion of Mecp2 in Sim1-Expressing Neurons Reveals a Critical Role for MeCP2 in Feeding Behavior, Aggression, and the Response to Stress. Neuron 2008, 59, 947–958. [Google Scholar] [CrossRef] [PubMed]
  117. McCarthy, D.M.; Vied, C.; Trupiano, M.X.; Canekeratne, A.J.; Wang, Y.; Schatschneider, C.; Bhide, P.G. Behavioral, Neurotransmitter and Transcriptomic Analyses in Male and Female KO Mice. Front. Behav. Neurosci. 2024, 18, 1458502. [Google Scholar] [CrossRef]
  118. Nagarajan, N.; Jones, B.W.; West, P.J.; Marc, R.E.; Capecchi, M.R. Corticostriatal Circuit Defects in Hoxb8 Mutant Mice. Mol. Psychiatry 2017. [Google Scholar] [CrossRef] [PubMed]
  119. Reith, R.M.; McKenna, J.; Wu, H.; Hashmi, S.S.; Cho, S.-H.; Dash, P.K.; Gambello, M.J. Loss of Tsc2 in Purkinje Cells Is Associated with Autistic-like Behavior in a Mouse Model of Tuberous Sclerosis Complex. Neurobiol. Dis. 2013, 51, 93–103. [Google Scholar] [CrossRef] [PubMed]
  120. Salatino-Oliveira, A.; Rohde, L.A.; Hutz, M.H. The Dopamine Transporter Role in Psychiatric Phenotypes. Am. J. Med. Genet. B Neuropsychiatr. Genet. 2018, 177, 211–231. [Google Scholar] [CrossRef]
  121. Consorthium, T.D.B.F.X.; Bakker, C.E.; Verheij, C.; Willemsen, R.; van der Helm, R.; Oerlemans, F.; Vermey, M.; Bygrave, A.; Hoogeveen, A.; Oostra, B.A.; et al. Fmr1 Knockout Mice: A Model to Study Fragile X Mental Retardation. The Dutch-Belgian Fragile X Consortium. Cell 1994, 78, 23–33. [Google Scholar]
  122. Kazdoba, T.M.; Leach, P.T.; Silverman, J.L.; Crawley, J.N. Modeling Fragile X Syndrome in the Fmr1 Knockout Mouse. Intractable Rare Dis. Res. 2014, 3, 118–133. [Google Scholar] [CrossRef]
  123. McFarlane, H.G.; Kusek, G.K.; Yang, M.; Phoenix, J.L.; Bolivar, V.J.; Crawley, J.N. Autism-like Behavioral Phenotypes in BTBR T+tf/J Mice. Genes Brain Behav. 2008, 7, 152–163. [Google Scholar] [CrossRef] [PubMed]
  124. Silverman, J.L.; Tolu, S.S.; Barkan, C.L.; Crawley, J.N. Repetitive Self-Grooming Behavior in the BTBR Mouse Model of Autism Is Blocked by the mGluR5 Antagonist MPEP. Neuropsychopharmacology 2010, 35, 976–989. [Google Scholar] [CrossRef] [PubMed]
  125. Reynolds, S.; Urruela, M.; Devine, D.P. Effects of Environmental Enrichment on Repetitive Behaviors in the BTBR T+tf/J Mouse Model of Autism. Autism Res. 2013, 6, 337–343. [Google Scholar] [CrossRef]
  126. McTighe, S.M.; Neal, S.J.; Lin, Q.; Hughes, Z.A.; Smith, D.G. The BTBR Mouse Model of Autism Spectrum Disorders Has Learning and Attentional Impairments and Alterations in Acetylcholine and Kynurenic Acid in Prefrontal Cortex. PLoS ONE 2013, 8, e62189. [Google Scholar] [CrossRef]
  127. Bove, M.; Palmieri, M.A.; Santoro, M.; Agosti, L.P.; Gaetani, S.; Romano, A.; Dimonte, S.; Costantino, G.; Sikora, V.; Tucci, P.; et al. Amygdalar Neurotransmission Alterations in the BTBR Mice Model of Idiopathic Autism. Transl. Psychiatry 2024, 14, 193. [Google Scholar] [CrossRef] [PubMed]
  128. Squillace, M.; Dodero, L.; Federici, M.; Migliarini, S.; Errico, F.; Napolitano, F.; Krashia, P.; Di Maio, A.; Galbusera, A.; Bifone, A.; et al. Dysfunctional Dopaminergic Neurotransmission in Asocial BTBR Mice. Transl. Psychiatry 2014, 4, e427. [Google Scholar] [CrossRef]
  129. Tallarico, M.; Leo, A.; Russo, E.; Citraro, R.; Palma, E.; De Sarro, G. Seizure Susceptibility to Various Convulsant Stimuli in the BTBR Mouse Model of Autism Spectrum Disorders. Front. Pharmacol. 2023, 14, 1155729. [Google Scholar] [CrossRef] [PubMed]
  130. Gould, G.G.; Hensler, J.G.; Burke, T.F.; Benno, R.H.; Onaivi, E.S.; Daws, L.C. Density and Function of Central Serotonin (5-HT) Transporters, 5-HT1A and 5-HT2A Receptors, and Effects of Their Targeting on BTBR T+tf/J Mouse Social Behavior. J. Neurochem. 2011, 116, 291–303. [Google Scholar] [CrossRef]
  131. Gould, G.G.; Burke, T.F.; Osorio, M.D.; Smolik, C.M.; Zhang, W.Q.; Onaivi, E.S.; Gu, T.-T.; DeSilva, M.N.; Hensler, J.G. Enhanced Novelty-Induced Corticosterone Spike and Upregulated Serotonin 5-HT1A and Cannabinoid CB1 Receptors in Adolescent BTBR Mice. Psychoneuroendocrinology 2014, 39, 158–169. [Google Scholar] [CrossRef] [PubMed]
  132. Amodeo, D.A.; Rivera, E.; Dunn, J.T.; Ragozzino, M.E. M100907 Attenuates Elevated Grooming Behavior in the BTBR Mouse. Behav. Brain Res. 2016, 313, 67–70. [Google Scholar] [CrossRef]
  133. Amodeo, D.A.; Oliver, B.; Pahua, A.; Hitchcock, K.; Bykowski, A.; Tice, D.; Musleh, A.; Ryan, B.C. Serotonin 6 Receptor Blockade Reduces Repetitive Behavior in the BTBR Mouse Model of Autism Spectrum Disorder. Pharmacol. Biochem. Behav. 2021, 200, 173076. [Google Scholar] [CrossRef] [PubMed]
  134. Amodeo, D.A.; Cuevas, L.; Dunn, J.T.; Sweeney, J.A.; Ragozzino, M.E. The Adenosine A Receptor Agonist, CGS 21680, Attenuates a Probabilistic Reversal Learning Deficit and Elevated Grooming Behavior in BTBR Mice. Autism Res. 2018, 11, 223–233. [Google Scholar] [CrossRef] [PubMed]
  135. Amodeo, D.A.; Yi, J.; Sweeney, J.A.; Ragozzino, M.E. Oxotremorine Treatment Reduces Repetitive Behaviors in BTBR T+ tf/J Mice. Front. Synaptic Neurosci. 2014, 6, 17. [Google Scholar] [CrossRef] [PubMed]
  136. Breese, G.R.; Knapp, D.J.; Criswell, H.E.; Moy, S.S.; Papadeas, S.T.; Blake, B.L. The Neonate-6-Hydroxydopamine-Lesioned Rat: A Model for Clinical Neuroscience and Neurobiological Principles. Brain Res. Brain Res. Rev. 2005, 48, 57–73. [Google Scholar] [CrossRef] [PubMed]
  137. Devine, D.P. Animal Models of Self-Injurious Behaviour: An Overview. Methods Mol. Biol. 2012, 829, 65–84. [Google Scholar] [PubMed]
  138. Breese, G.R.; Traylor, T.D. Developmental Characteristics of Brain Catecholamines and Tyrosine Hydroxylase in the Rat: Effects of 6-Hydroxydopamine. Br. J. Pharmacol. 1972, 44, 210–222. [Google Scholar] [CrossRef] [PubMed]
  139. Hartgraves, S.L.; Randall, P.K. Dopamine Agonist-Induced Stereotypic Grooming and Self-Mutilation Following Striatal Dopamine Depletion. Psychopharmacology 1986, 90, 358–363. [Google Scholar] [CrossRef] [PubMed]
  140. Radja, F.; el Mansari, M.; Soghomonian, J.J.; Dewar, K.M.; Ferron, A.; Reader, T.A.; Descarries, L. Changes of D1 and D2 Receptors in Adult Rat Neostriatum after Neonatal Dopamine Denervation: Quantitative Data from Ligand Binding, in Situ Hybridization and Iontophoresis. Neuroscience 1993, 57, 635–648. [Google Scholar] [CrossRef] [PubMed]
  141. Breese, G.R.; Baumeister, A.; Napier, T.C.; Frye, G.D.; Mueller, R.A. Evidence That D-1 Dopamine Receptors Contribute to the Supersensitive Behavioral Responses Induced by L-Dihydroxyphenylalanine in Rats Treated Neonatally with 6-Hydroxydopamine. J. Pharmacol. Exp. Ther. 1985, 235, 287–295. [Google Scholar] [CrossRef]
  142. Criswell, H.E.; Mueller, R.A.; Breese, G.R. Pharmacologic Evaluation of SCH-39166, A-69024, NO-0756, and SCH-23390 in Neonatal-6-OHDA-Lesioned Rats. Further Evidence That Self-Mutilatory Behavior Induced by L-Dopa Is Related to D1 Dopamine Receptors. Neuropsychopharmacology 1992, 7, 95–103. [Google Scholar] [PubMed]
  143. Molina-Holgado, E.; Van Gelder, N.M.; Dewar, K.M.; Reader, T.A. Dopamine Receptor Alterations Correlate with Increased GABA Levels in Adult Rat Neostriatum: Effects of a Neonatal 6-Hydroxydopamine Denervation. Neurochem. Int. 1995, 27, 443–451. [Google Scholar] [CrossRef] [PubMed]
  144. el Mansari, M.; Radja, F.; Ferron, A.; Reader, T.A.; Molina-Holgado, E.; Descarries, L. Hypersensitivity to Serotonin and Its Agonists in Serotonin-Hyperinnervated Neostriatum after Neonatal Dopamine Denervation. Eur. J. Pharmacol. 1994, 261, 171–178. [Google Scholar] [CrossRef]
  145. Maurice, P.; Trudel, G. Self-Injurious Behavior Prevalence and Relationships to Environmental Events. Monogr. Am. Assoc. Ment. Defic. 1982, 5, 81–103. [Google Scholar]
  146. Tang, J.; Ma, Y.; Guo, Y.; Ahmed, N.I.; Yu, Y.; Wang, J. Association of Aggression and Non-Suicidal Self Injury: A School-Based Sample of Adolescents. PLoS ONE 2013, 8, e78149. [Google Scholar] [CrossRef] [PubMed]
  147. Tresno, F.; Ito, Y.; Mearns, J. Risk Factors for Nonsuicidal Self-Injury in Japanese College Students: The Moderating Role of Mood Regulation Expectancies. Int. J. Psychol. 2013, 48, 1009–1017. [Google Scholar] [CrossRef]
  148. Harlow, H.F.; Harlow, M. Social Deprivation in Monkeys. Sci. Am. 1962, 207, 136–146. [Google Scholar] [PubMed]
  149. Gluck, J.P.; Sackett, G.P. Frustration and Self-Aggression in Social Isolate Rhesus Monkeys. J. Abnorm. Psychol. 1974, 83, 331–334. [Google Scholar] [CrossRef] [PubMed]
  150. Tiefenbacher, S.; Novak, M.A.; Lutz, C.K.; Meyer, J.S. The Physiology and Neurochemistry of Self-Injurious Behavior: A Nonhuman Primate Model. Front. Biosci. 2005, 10, 1–11. [Google Scholar] [CrossRef]
  151. Davenport, M.D.; Lutz, C.K.; Tiefenbacher, S.; Novak, M.A.; Meyer, J.S. A Rhesus Monkey Model of Self-Injury: Effects of Relocation Stress on Behavior and Neuroendocrine Function. Biol. Psychiatry 2008, 63, 990–996. [Google Scholar] [CrossRef] [PubMed]
  152. Tiefenbacher, S.; Novak, M.A.; Jorgensen, M.J.; Meyer, J.S. Physiological Correlates of Self-Injurious Behavior in Captive, Socially-Reared Rhesus Monkeys. Psychoneuroendocrinology 2000, 25, 799–817. [Google Scholar] [CrossRef]
  153. Novak, M.A. Self-Injurious Behavior in Rhesus Monkeys: New Insights into Its Etiology, Physiology, and Treatment. Am. J. Primatol. 2003, 59, 3–19. [Google Scholar] [CrossRef]
  154. Lutz, C.; Well, A.; Novak, M. Stereotypic and Self-Injurious Behavior in Rhesus Macaques: A Survey and Retrospective Analysis of Environment and Early Experience. Am. J. Primatol. 2003, 60, 1–15. [Google Scholar] [CrossRef]
  155. Bellanca, R.U.; Crockett, C.M. Factors Predicting Increased Incidence of Abnormal Behavior in Male Pigtailed Macaques. Am. J. Primatol. 2002, 58, 57–69. [Google Scholar] [CrossRef] [PubMed]
  156. Verhoeven, W.M.; Tuinier, S.; van den Berg, Y.W.; Coppus, A.M.; Fekkes, D.; Pepplinkhuizen, L.; Thijssen, J.H. Stress and Self-Injurious Behavior; Hormonal and Serotonergic Parameters in Mentally Retarded Subjects. Pharmacopsychiatry 1999, 32, 13–20. [Google Scholar] [CrossRef] [PubMed]
  157. Lutz, C.K.; Davis, E.B.; Ruggiero, A.M.; Suomi, S.J. Early Predictors of Self-Biting in Socially-Housed Rhesus Macaques (Macaca mulatta). Am. J. Primatol. 2007, 69, 584–590. [Google Scholar] [CrossRef]
  158. Tiefenbacher, S.; Novak, M.A.; Marinus, L.M.; Chase, W.K.; Miller, J.A.; Meyer, J.S. Altered Hypothalamic-Pituitary-Adrenocortical Function in Rhesus Monkeys (Macaca mulatta) with Self-Injurious Behavior. Psychoneuroendocrinology 2004, 29, 501–515. [Google Scholar] [CrossRef] [PubMed]
  159. Clarke, A.S.; Ebert, M.H.; Schmidt, D.E.; McKinney, W.T.; Kraemer, G.W. Biogenic Amine Activity in Response to Fluoxetine and Desipramine in Differentially Reared Rhesus Monkeys. Biol. Psychiatry 1999, 46, 221–228. [Google Scholar] [CrossRef] [PubMed]
  160. Lewis, M.H.; Gluck, J.P.; Beauchamp, A.J.; Keresztury, M.F.; Mailman, R.B. Long-Term Effects of Early Social Isolation in Macaca mulatta: Changes in Dopamine Receptor Function Following Apomorphine Challenge. Brain Res. 1990, 513, 67–73. [Google Scholar] [CrossRef] [PubMed]
  161. Weld, K.P.; Mench, J.A.; Woodward, R.A.; Bolesta, M.S.; Suomi, S.J.; Higley, J.D. Effect of Tryptophan Treatment on Self-Biting and Central Nervous System Serotonin Metabolism in Rhesus Monkeys (Macaca mulatta). Neuropsychopharmacology 1998, 19, 314–321. [Google Scholar] [CrossRef] [PubMed]
  162. Martin, L.J.; Spicer, D.M.; Lewis, M.H.; Gluck, J.P.; Cork, L.C. Social Deprivation of Infant Rhesus Monkeys Alters the Chemoarchitecture of the Brain: I. Subcortical Regions. J. Neurosci. 1991, 11, 3344–3358. [Google Scholar] [CrossRef] [PubMed]
  163. Muehlmann, A.M.; Wilkinson, J.A.; Devine, D.P. Individual Differences in Vulnerability for Self-Injurious Behavior: Studies Using an Animal Model. Behav. Brain Res. 2011, 217, 148–154. [Google Scholar] [CrossRef]
  164. Khoo, S.Y.-S.; Correia, V.; Uhrig, A. Nesting Material Enrichment Reduces Severity of Overgrooming-Related Self-Injury in Individually Housed Rats. Lab. Anim. 2020, 54, 546–558. [Google Scholar] [CrossRef] [PubMed]
  165. Hooks, M.S.; Colvin, A.C.; Juncos, J.L.; Justice, J.B., Jr. Individual Differences in Basal and Cocaine-Stimulated Extracellular Dopamine in the Nucleus Accumbens Using Quantitative Microdialysis. Brain Res. 1992, 587, 306–312. [Google Scholar] [CrossRef] [PubMed]
  166. Fulford, A.J.; Marsden, C.A. Effect of Isolation-Rearing on Conditioned Dopamine Release in Vivo in the Nucleus Accumbens of the Rat. J. Neurochem. 1998, 70, 384–390. [Google Scholar] [CrossRef]
  167. Hooks, M.S.; Juncos, J.L.; Justice, J.B., Jr.; Meiergerd, S.M.; Povlock, S.L.; Schenk, J.O.; Kalivas, P.W. Individual Locomotor Response to Novelty Predicts Selective Alterations in D1 and D2 Receptors and mRNAs. J. Neurosci. 1994, 14, 6144–6152. [Google Scholar] [CrossRef] [PubMed]
  168. Muehlmann, A.M.; Brown, B.D.; Devine, D.P. Pemoline (2-Amino-5-Phenyl-1,3-Oxazol-4-One)-Induced Self-Injurious Behavior: A Rodent Model of Pharmacotherapeutic Efficacy. J. Pharmacol. Exp. Ther. 2008, 324, 214–223. [Google Scholar] [CrossRef] [PubMed]
  169. Devine, D.P. The Pemoline Model of Self-Injurious Behavior: An Update. Methods Mol. Biol. 2019, 2011, 95–103. [Google Scholar]
  170. Mueller, K.; Hollingsworth, E.; Pettit, H. Repeated Pemoline Produces Self-Injurious Behavior in Adult and Weanling Rats. Pharmacol. Biochem. Behav. 1986, 25, 933–938. [Google Scholar] [CrossRef] [PubMed]
  171. Kies, S.D.; Devine, D.P. Self-Injurious Behaviour: A Comparison of Caffeine and Pemoline Models in Rats. Pharmacol. Biochem. Behav. 2004, 79, 587–598. [Google Scholar] [CrossRef] [PubMed]
  172. Shishido, T.; Watanabe, Y.; Kato, K.; Horikoshi, R.; Niwa, S.I. Effects of Dopamine, NMDA, Opiate, and Serotonin-Related Agents on Acute Methamphetamine-Induced Self-Injurious Behavior in Mice. Pharmacol. Biochem. Behav. 2000, 66, 579–583. [Google Scholar] [CrossRef]
  173. Sivam, S.P. GBR-12909-Induced Self-Injurious Behavior: Role of Dopamine. Brain Res. 1995, 690, 259–263. [Google Scholar] [CrossRef] [PubMed]
  174. Devine, D.P. The Pemoline Model of Self-Injurious Behaviour. Methods Mol. Biol. 2012, 829, 155–163. [Google Scholar] [PubMed]
  175. Mueller, K.; Saboda, S.; Palmour, R.; Nyhan, W.L. Self-Injurious Behavior Produced in Rats by Daily Caffeine and Continuous Amphetamine. Pharmacol. Biochem. Behav. 1982, 17, 613–617. [Google Scholar] [CrossRef] [PubMed]
  176. Bhattacharya, S.K.; Jaiswal, A.K.; Mukhopadhyay, M.; Datla, K.P. Clonidine-Induced Automutilation in Mice as a Laboratory Model for Clinical Self-Injurious Behaviour. J. Psychiatr. Res. 1988, 22, 43–50. [Google Scholar] [CrossRef] [PubMed]
  177. Kasim, S.; Jinnah, H.A. Self-Biting Induced by Activation of L-Type Calcium Channels in Mice: Dopaminergic Influences. Dev. Neurosci. 2003, 25, 20–25. [Google Scholar] [CrossRef]
  178. Jinnah, H.A.; Yitta, S.; Drew, T.; Kim, B.S.; Visser, J.E.; Rothstein, J.D. Calcium Channel Activation and Self-Biting in Mice. Proc. Natl. Acad. Sci. USA 1999, 96, 15228–15232. [Google Scholar] [CrossRef]
  179. Kratofil, P.H.; Baberg, H.T.; Dimsdale, J.E. Self-Mutilation and Severe Self-Injurious Behavior Associated with Amphetamine Psychosis. Gen. Hosp. Psychiatry 1996, 18, 117–120. [Google Scholar] [CrossRef]
  180. Bergua, A.; Sperling, W.; Küchle, M. Self-Enucleation in Drug-Related Psychosis. Ophthalmologica 2002, 216, 269–271. [Google Scholar] [CrossRef] [PubMed]
  181. Mueller, K.; Nyhan, W.L. Pharmacologic Control of Pemoline Induced Self-Injurious Behavior in Rats. Pharmacol. Biochem. Behav. 1982, 16, 957–963. [Google Scholar] [CrossRef] [PubMed]
  182. Cromwell, H.C.; King, B.H.; Levine, M.S. Pemoline Alters Dopamine Modulation of Synaptic Responses of Neostriatal Neurons in Vitro. Dev. Neurosci. 1997, 19, 497–504. [Google Scholar] [CrossRef]
  183. Muehlmann, A.M.; Devine, D.P. Glutamate-Mediated Neuroplasticity in an Animal Model of Self-Injurious Behaviour. Behav. Brain Res. 2008, 189, 32–40. [Google Scholar] [CrossRef]
  184. King, B.H.; Au, D.; Poland, R.E. Pretreatment with MK-801 Inhibits Pemoline-Induced Self-Biting Behavior in Prepubertal Rats. Dev. Neurosci. 1995, 17, 47–52. [Google Scholar] [CrossRef]
  185. Kasim, S.; Egami, K.; Jinnah, H.A. Self-Biting Induced by Activation of L-Type Calcium Channels in Mice: Serotonergic Influences. Dev. Neurosci. 2002, 24, 322–327. [Google Scholar] [CrossRef] [PubMed]
  186. Kasim, S.; Blake, B.L.; Fan, X.; Chartoff, E.; Egami, K.; Breese, G.R.; Hess, E.J.; Jinnah, H.A. The Role of Dopamine Receptors in the Neurobehavioral Syndrome Provoked by Activation of L-Type Calcium Channels in Rodents. Dev. Neurosci. 2006, 28, 505–517. [Google Scholar] [CrossRef] [PubMed]
  187. Guerdjikova, A.I.; Gwizdowski, I.S.; McElroy, S.L.; McCullumsmith, C.; Suppes, P. Treating Nonsuicidal Self-Injury. Curr. Treat. Options Psychiatry 2014, 1, 325–334. [Google Scholar] [CrossRef]
  188. Peterson, J.; Freedenthal, S.; Sheldon, C.; Andersen, R. Nonsuicidal Self Injury in Adolescents. Psychiatry 2008, 5, 20–26. [Google Scholar]
  189. Myers, S.M.; Johnson, C.P. American Academy of Pediatrics Council on Children with Disabilities Management of Children with Autism Spectrum Disorders. Pediatrics 2007, 120, 1162–1182. [Google Scholar] [CrossRef] [PubMed]
  190. Sawant, N.; Shukla, B. An Overview of Managing Self-Injurious Behaviors in Neurodevelopmental Disorders. J. Indian Assoc. Child Adolesc. Ment. Health 2023, 19, 108–114. [Google Scholar] [CrossRef]
  191. Bettis, A.H.; Liu, R.T.; Walsh, B.W.; Klonsky, E.D. Treatments for Self-Injurious Thoughts and Behaviors in Youth: Progress and Challenges. Evid. Based Pract. Child Adolesc. Ment. Health 2020, 5, 354–364. [Google Scholar] [CrossRef]
  192. Schreibman, L. Intensive Behavioral/psychoeducational Treatments for Autism: Research Needs and Future Directions. J. Autism Dev. Disord. 2000, 30, 373–378. [Google Scholar] [CrossRef]
  193. Leblanc, L.A.; Patel, M.R.; Carr, J.E. Recent Advances in the Assessment of Aberrant Behavior Maintained by Automatic Reinforcement in Individuals with Developmental Disabilities. J. Behav. Ther. Exp. Psychiatry 2000, 31, 137–154. [Google Scholar] [CrossRef] [PubMed]
  194. Hagopian, L.P.; Rooker, G.W.; Yenokyan, G. Identifying Predictive Behavioral Markers: A Demonstration Using Automatically Reinforced Self-Injurious Behavior. J. Appl. Behav. Anal. 2018, 51, 443–465. [Google Scholar] [CrossRef]
  195. Brentani, H.; de Paula, C.S.; Bordini, D.; Rolim, D.; Sato, F.; Portolese, J.; Pacifico, M.C.; Mc Cracken, J.T. Autism Spectrum Disorders: An Overview on Diagnosis and Treatment. Rev. Bras. Psiquiatr. 2013, 35, S62–S72. [Google Scholar] [CrossRef] [PubMed]
  196. Malone, R.P.; Waheed, A. The Role of Antipsychotics in the Management of Behavioural Symptoms in Children and Adolescents with Autism. Drugs 2009, 69, 535–548. [Google Scholar] [CrossRef] [PubMed]
  197. McCracken, J.T.; McGough, J.; Shah, B.; Cronin, P.; Hong, D.; Aman, M.G.; Arnold, L.E.; Lindsay, R.; Nash, P.; Hollway, J.; et al. Risperidone in Children with Autism and Serious Behavioral Problems. N. Engl. J. Med. 2002, 347, 314–321. [Google Scholar] [CrossRef]
  198. Marcus, R.N.; Owen, R.; Kamen, L.; Manos, G.; McQuade, R.D.; Carson, W.H.; Aman, M.G. A Placebo-Controlled, Fixed-Dose Study of Aripiprazole in Children and Adolescents with Irritability Associated with Autistic Disorder. J. Am. Acad. Child Adolesc. Psychiatry 2009, 48, 1110–1119. [Google Scholar] [CrossRef]
  199. Symons, F.J.; Thompson, A.; Rodriguez, M.C. Self-Injurious Behavior and the Efficacy of Naltrexone Treatment: A Quantitative Synthesis. Ment. Retard. Dev. Disabil. Res. Rev. 2004, 10, 193–200. [Google Scholar] [CrossRef]
  200. Ricketts, R.W.; Ellis, C.R.; Singh, Y.N.; Singh, N.N. Opioid Antagonists. II: Clinical Effects in the Treatment of Self-Injury in Individuals with Developmental Disabilities. J. Dev. Phys. Disabil. 1993, 5, 17–28. [Google Scholar] [CrossRef]
  201. Rice, L.J.; Cannon, L.; Dadlani, N.; Cheung, M.M.Y.; Einfeld, S.L.; Efron, D.; Dossetor, D.R.; Elliott, E.J. Efficacy of Cannabinoids in Neurodevelopmental and Neuropsychiatric Disorders among Children and Adolescents: A Systematic Review. Eur. Child Adolesc. Psychiatry 2024, 33, 505–526. [Google Scholar] [CrossRef]
  202. Gorodetsky, C.; Mithani, K.; Breitbart, S.; Yan, H.; Zhang, K.; Gouveia, F.V.; Warsi, N.; Suresh, H.; Wong, S.M.; Huber, J.; et al. Deep Brain Stimulation of the Nucleus Accumbens for Severe Self-Injurious Behaviour in Children: A Phase I Pilot Trial. Biol. Psychiatry 2024, 24, 01784-0. [Google Scholar] [CrossRef]
  203. Gouveia, F.V.; Germann, J.; Elias, G.J.B.; Boutet, A.; Loh, A.; Lopez Rios, A.L.; Torres Diaz, C.; Contreras Lopez, W.O.; Martinez, R.C.R.; Fonoff, E.T.; et al. Multi-Centre Analysis of Networks and Genes Modulated by Hypothalamic Stimulation in Patients with Aggressive Behaviours. eLife 2023, 12, e84566. [Google Scholar] [CrossRef] [PubMed]
  204. Gouveia, F.V.; Germann, J.; Elias, G.J.; Hamani, C.; Fonoff, E.T.; Martinez, R.C.R. Case Report: 5 Years Follow-up on Posterior Hypothalamus Deep Brain Stimulation for Intractable Aggressive Behaviour Associated with Drug-Resistant Epilepsy. Brain Stimul. 2021, 14, 1201–1204. [Google Scholar] [CrossRef] [PubMed]
  205. Contreras Lopez, W.O.; Navarro, P.A.; Gouveia, F.V.; Fonoff, E.T.; Lebrun, I.; Auada, A.V.V.; Lopes Alho, E.J.; Martinez, R.C.R. Directional Deep Brain Stimulation of the Posteromedial Hypothalamus for Refractory Intermittent Explosive Disorder: A Case Series Using a Novel Neurostimulation Device and Intraoperative Microdialysis. World Neurosurg. 2021, 155, e19–e33. [Google Scholar] [CrossRef] [PubMed]
  206. LeDoux, J. The amygdala. Curr. Biol. 2007, 17, R868–R874. [Google Scholar] [CrossRef] [PubMed]
  207. Sturm, V.; Fricke, O.; Bührle, C.P.; Lenartz, D.; Maarouf, M.; Treuer, H.; Mai, J.K.; Lehmkuhl, G. DBS in the Basolateral Amygdala Improves Symptoms of Autism and Related Self-Injurious Behavior: A Case Report and Hypothesis on the Pathogenesis of the Disorder. Front. Hum. Neurosci. 2012, 6, 341. [Google Scholar] [CrossRef] [PubMed]
  208. Koek, R.J.; Avecillas-Chasin, J.; Krahl, S.E.; Chen, J.W.; Sultzer, D.L.; Kulick, A.D.; Mandelkern, M.A.; Malpetti, M.; Gordon, H.L.; Landry, H.N.; et al. Deep Brain Stimulation of the Amygdala for Treatment-Resistant Combat Post-Traumatic Stress Disorder: Long-Term Results. J. Psychiatr. Res. 2024, 175, 131–139. [Google Scholar] [CrossRef]
  209. Langevin, J.-P.; Chen, J.W.Y.; Koek, R.J.; Sultzer, D.L.; Mandelkern, M.A.; Schwartz, H.N.; Krahl, S.E. Deep Brain Stimulation of the Basolateral Amygdala: Targeting Technique and Electrodiagnostic Findings. Brain Sci. 2016, 6, 28. [Google Scholar] [CrossRef] [PubMed]
  210. Benedetti-Isaac, J.C.; Torres-Zambrano, M.; Vargas-Toscano, A.; Perea-Castro, E.; Alcalá-Cerra, G.; Furlanetti, L.L.; Reithmeier, T.; Tierney, T.S.; Anastasopoulos, C.; Fonoff, E.T.; et al. Seizure Frequency Reduction after Posteromedial Hypothalamus Deep Brain Stimulation in Drug-Resistant Epilepsy Associated with Intractable Aggressive Behavior. Epilepsia 2015, 56, 1152–1161. [Google Scholar] [CrossRef] [PubMed]
  211. Franzini, A.; Messina, G.; Cordella, R.; Marras, C.; Broggi, G. Deep Brain Stimulation of the Posteromedial Hypothalamus: Indications, Long-Term Results, and Neurophysiological Considerations. Neurosurg. Focus 2010, 29, E13. [Google Scholar] [CrossRef] [PubMed]
  212. Torres, C.V.; Sola, R.G.; Pastor, J.; Pedrosa, M.; Navas, M.; García-Navarrete, E.; Ezquiaga, E.; García-Camba, E. Long-Term Results of Posteromedial Hypothalamic Deep Brain Stimulation for Patients with Resistant Aggressiveness. J. Neurosurg. 2013, 119, 277–287. [Google Scholar] [CrossRef]
  213. Torres, C.V.; Blasco, G.; Navas García, M.; Ezquiaga, E.; Pastor, J.; Vega-Zelaya, L.; Pulido Rivas, P.; Pérez Rodrigo, S.; Manzanares, R. Deep Brain Stimulation for Aggressiveness: Long-Term Follow-up and Tractography Study of the Stimulated Brain Areas. J. Neurosurg. 2021, 134, 366–375. [Google Scholar] [CrossRef] [PubMed]
  214. Yan, H.; Shlobin, N.A.; Jung, Y.; Zhang, K.K.; Warsi, N.; Kulkarni, A.V.; Ibrahim, G.M. Nucleus Accumbens: A Systematic Review of Neural Circuitry and Clinical Studies in Healthy and Pathological States. J. Neurosurg. 2023, 138, 337–346. [Google Scholar] [CrossRef] [PubMed]
  215. Denys, D.; Mantione, M.; Figee, M.; van den Munckhof, P.; Koerselman, F.; Westenberg, H.; Bosch, A.; Schuurman, R. Deep Brain Stimulation of the Nucleus Accumbens for Treatment-Refractory Obsessive-Compulsive Disorder. Arch. Gen. Psychiatry 2010, 67, 1061–1068. [Google Scholar] [CrossRef]
  216. Schüller, T.; Kohl, S.; Dembek, T.; Tittgemeyer, M.; Huys, D.; Visser-Vandewalle, V.; Li, N.; Wehmeyer, L.; Barbe, M.; Kuhn, J.; et al. Internal Capsule/Nucleus Accumbens Deep Brain Stimulation Increases Impulsive Decision Making in Obsessive-Compulsive Disorder. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 2023, 8, 281–289. [Google Scholar] [CrossRef] [PubMed]
  217. Bach, P.; Luderer, M.; Müller, U.J.; Jakobs, M.; Baldermann, J.C.; Voges, J.; Kiening, K.; Lux, A.; Visser-Vandewalle, V.; DeBraSTRA study group; et al. Deep Brain Stimulation of the Nucleus Accumbens in Treatment-Resistant Alcohol Use Disorder: A Double-Blind Randomized Controlled Multi-Center Trial. Transl. Psychiatry 2023, 13, 49. [Google Scholar] [CrossRef] [PubMed]
  218. Bewernick, B.H.; Kayser, S.; Sturm, V.; Schlaepfer, T.E. Long-Term Effects of Nucleus Accumbens Deep Brain Stimulation in Treatment-Resistant Depression: Evidence for Sustained Efficacy. Neuropsychopharmacology 2012, 37, 1975–1985. [Google Scholar] [CrossRef] [PubMed]
  219. Mehta, M.V.; Gandal, M.J.; Siegel, S.J. mGluR5-Antagonist Mediated Reversal of Elevated Stereotyped, Repetitive Behaviors in the VPA Model of Autism. PLoS ONE 2011, 6, e26077. [Google Scholar] [CrossRef] [PubMed]
  220. Silverman, J.L.; Smith, D.G.; Rizzo, S.J.S.; Karras, M.N.; Turner, S.M.; Tolu, S.S.; Bryce, D.K.; Smith, D.L.; Fonseca, K.; Ring, R.H.; et al. Negative Allosteric Modulation of the mGluR5 Receptor Reduces Repetitive Behaviors and Rescues Social Deficits in Mouse Models of Autism. Sci. Transl. Med. 2012, 4, 131ra51. [Google Scholar] [CrossRef] [PubMed]
  221. Jones, C.; Barrera, I.; Brothers, S.; Ring, R.; Wahlestedt, C. Oxytocin and Social Functioning. Dialogues Clin. Neurosci. 2017, 19, 193–201. [Google Scholar] [CrossRef] [PubMed]
  222. Preti, A.; Melis, M.; Siddi, S.; Vellante, M.; Doneddu, G.; Fadda, R. Oxytocin and Autism: A Systematic Review of Randomized Controlled Trials. J. Child Adolesc. Psychopharmacol. 2014, 24, 54–68. [Google Scholar] [CrossRef]
  223. Amorim, L.; Gouveia, F.V.; Germann, J.; Zambori, D.; Morais, R.; Sato, F.M.; Fongaro, C.; Portolese, J.; Brentani, H.; Martinez, R. Oxytocin and Gynecomastia: Correlation or Causality? Cureus 2018, 10, e2661. [Google Scholar] [CrossRef]
  224. Lauber, M.; Plecko, B.; Pfiffner, M.; Nuoffer, J.-M.; Häberle, J. The Effect of S-Adenosylmethionine on Self-Mutilation in a Patient with Lesch-Nyhan Disease. JIMD Rep. 2017, 32, 51–57. [Google Scholar] [PubMed]
  225. Guo, X.; Jia, J.; Zhang, Z.; Miao, Y.; Wu, P.; Bai, Y.; Ren, Y. Metabolomic Biomarkers Related to Non-Suicidal Self-Injury in Patients with Bipolar Disorder. BMC Psychiatry 2022, 22, 491. [Google Scholar] [CrossRef]
  226. Corrigan, P.W.; Yudofsky, S.C.; Silver, J.M. Pharmacological and Behavioral Treatments for Aggressive Psychiatric Inpatients. Hosp. Community Psychiatry 1993, 44, 125–133. [Google Scholar] [CrossRef]
  227. Gouveia, F.V.; Germann, J.; Devenyi, G.A.; Fonoff, E.T.; Morais, R.M.C.B.; Brentani, H.; Chakravarty, M.M.; Martinez, R.C.R. Bilateral Amygdala Radio-Frequency Ablation for Refractory Aggressive Behavior Alters Local Cortical Thickness to a Pattern Found in Non-Refractory Patients. Front. Hum. Neurosci. 2021, 15, 653631. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Diagram illustrating how genetic predispositions and environmental factors interact to influence SIB expression.
Figure 1. Diagram illustrating how genetic predispositions and environmental factors interact to influence SIB expression.
Ijms 26 01938 g001
Figure 2. Neurocircuitries regulating self-injury behaviour. Abbreviations: GPe: Globus pallidus externus; GPi: Globus pallidus internus; SNc: Substantia nigra pars compacta; SNr: Substantia nigra pars reticulata; STN: Subthalamic nucleus; VTA: Ventral-tegmental area.
Figure 2. Neurocircuitries regulating self-injury behaviour. Abbreviations: GPe: Globus pallidus externus; GPi: Globus pallidus internus; SNc: Substantia nigra pars compacta; SNr: Substantia nigra pars reticulata; STN: Subthalamic nucleus; VTA: Ventral-tegmental area.
Ijms 26 01938 g002
Table 1. Summary of animal models of self-injurious behaviour and key neurobiological findings.
Table 1. Summary of animal models of self-injurious behaviour and key neurobiological findings.
CategoryModelDetails
GeneticShank3−/−
  • Elevated SIB and skin lesions related to reduced Shank3 expression in the hippocampus and cortex [48]
  • Increased repetitive behaviour associated with reduced Shank3 in the striatum [48]
  • Reduced levels of SAPAP3, Homer-1b/c, PSD93, and glutamate receptor subunits GluR2, NR2A, and NR2B in striatum [49]
  • Increased medium spiny neuron complexity [49]
BTBR
  • Reduced DA levels and increased DA metabolites in amygdala [50]
  • Elevated glutamate levels in amygdala [50]
  • Imbalance of GABA and glutamate levels in amygdala, prefrontal cortex, and hippocampus [51]
  • Reduced SERT and increased 5-HT1A receptor signalling capacity [52,53]
  • Decreased striatum and thalamus volume and increased hippocampus, cerebral cortex, and cerebellum volume correlated with elevated self-grooming [34]
Fmr1−/−
  • Deficits in striatal GABA, glutamate, and 5-HT associated with hyperactivity, social and cognitive impairment [54]
  • GABAA receptor agonist (gaboxadol) normalised aberrant behaviours [55]
  • Abnormal dendritic spine density and phenotypes [56,57]
Mecp2 mutation
  • Mecp2−/ymice exhibit reduced responses of parvalbumin-expressing inhibitory neurons and altered polarity of GABAergic inhibition in pyramidal neurons [58]
Hoxb8−/−
  • Increased cortical synapse and spine density in the frontal cortex; increased dendritic spines in dorsal- and ventromedial striatum [59]
  • Mutants transplanted with healthy bone marrow (i.e., normal microglia) and reduced excessive pathological grooming [60]
  • SIB induced by optogenetic stimulation of Hoxb8 microglia in dorsomedial striatum or medial prefrontal cortex [61]
Slc6a3−/−
  • Elevated levels of extracellular DA associated with hyperactivity, impulsivity, repetitive behaviour, and SIB [62]
Lesion modelsNeonatal 6-OHDA lesion
  • D1/5 agonist (SKF 38393) reduces SIB and inhibits responsiveness of spontaneously firing striatal units [63]
  • Higher levels of striatal GABA, met-enkephalin, and substance P in adulthood [64,65]
  • Hyperinnervation of striatal 5-HT neurons in adulthood, accompanied by increased 5-HT1B and 5-HT2 receptor binding and supersensitivity to 5-HT receptor antagonists [66,67]
Early environmental deprivationSocial deprivation
  • Diazepam decreases self-wounding episodes in captive rhesus macaques [68]
  • Hypercortisolemia exhibited by individually caged rhesus macaques with SIB [69]
  • Elevated striatal DA levels in isolation-reared rats [70]
  • Maternally deprived macaques have lower concentrations of DA metabolite, DOPAC, in cerebrospinal fluid [71]
  • Isolation-reared rhesus monkeys exhibit increased stereotyped behaviours after apomorphine administration when compared to group-housed animals [72]
Environmental stress
  • Footshock stress increases SIB and DA concentrations in the striatum and frontal cortex of neonatal 6-OHDA lesioned rats [73,74,75]
  • Nesting material enrichment reduces SIB in individually housed rat models [76]
  • Acute stress altered the functioning of the LHPA axis, including blunted cortisol response [77,78]
PharmacologicPsychostimulant (Pemoline, Methamphetamine, Amphetamine)
  • Pemoline induces SIB within 48 hrs of a single 250–300 mg/kg dose or after 3–12 daily injections of 80–200 mg/kg/day [79]
  • Pemoline-induced SIB reduced by DA and 5-HT receptor antagonists (haloperidol, pimozide, and risperidone) [80], and NMDA receptor antagonist (MK-801) [81]
  • Pemoline-induced SIB enhanced by paroxetine (an SSRI) [82]
  • DA injection increased evoked depolarising potential responses of neurons in rats with pemoline-induced SIB [83]
  • SCH23390 (D1R antagonist) and 5-HTP (5-HT metabolic intermediate) administration reduced methamphetamine-induced SIB; no effect after sulpiride or naloxone injection [84]
  • Methamphetamine-induced SIB reduced after MK-801 administration [85]
  • Dose-dependent increase in stereotypic behaviour, oral dyskinesia, and SIB in response to amphetamine treatment [86]
  • Risperidone decreased amphetamine-induced SIB; haloperidol and SCH23390 were ineffective [86]
Bay K 8644
  • Effects are blocked by L-type calcium channel antagonists [87,88]
  • SIB reduced by monoamine oxidase inhibitor [89], indirect DA agonists [90], D1/5 and D3 antagonists [91]
  • SIB unaffected by D2 and D4 antagonists [91]
  • SIB enhanced by fluoxetine (an SSRI) and decreased by 5-HT depletion [89]
Clonidine
  • Mixed reports for alpha-adrenoreceptor antagonist effects on clonidine-induced SIB [92,93]
Chronic caffeine
  • A small percentage exhibit SIB, with minor frequency and severity
  • High doses are toxic (i.e., weight loss, thymus involution, chromodacryorrhea, death) [83,94]
Abbreviations: 5-HT, serotonin; 6-OHDA, 6-hydroxydopamine; DA, dopamine; DOPAC, 3,4-dihydroxyphenylacetic acid; GABA, gamma-aminobutyric acid; LHPA, limbic-hypothalamic-pituitary-adrenal; NMDA, N-methyl-D-aspartate; SERT, serotonin transporter; SIB, self-injurious behaviour; SSRI, serotonin reuptake inhibitor.
Table 2. Summary of main therapeutics used for the clinical management of self-injurious behaviours.
Table 2. Summary of main therapeutics used for the clinical management of self-injurious behaviours.
CategoryTherapyBiological BasisSpecific Disorders StudiedAvailable Data
PharmacologicRisperidone
  • 5-HT receptor agonist
  • D2 receptor agonist
  • Adrenoreceptor agonist
ASD; PDD; Down syndrome; FXS; Schizophrenia; BP; OCD; ADHD; MDD
  • Randomized, placebo-controlled trials
  • Open-label extension trial
Aripiprazole
  • Partial D2 receptor agonist
  • 5-HT receptor agonist
ASD
  • Case series
  • Randomized, placebo-controlled trials
Clonidine
  • Adrenoreceptor agonist
  • Inhibits excitatory cardiovascular neurons
  • Reduces sympathetic outflow
PDD; ADHD
  • Case series
  • Open-label pilot study
N-Acetylcysteine
  • Restores glutathione
  • Scavenges oxidants
ASD
  • Case report
  • Randomized, double blind, placebo controlled studies
Riluzole
  • Inhibits glutamate release and enhances glutamate reuptake
  • Inactivates voltage dependent Na+ channels
FXS; ASD
  • Case series
  • Randomized, double blind, placebo controlled trial
Mirtazapine
  • Adrenergic antagonist
  • 5-HT receptor antagonist
  • H1 receptor antagonist
PDD; ASD
  • Open-label study
Naltrexone
  • Opioid antagonist
PWS
  • Case reports
  • Case series
Topiramate
  • Blocks neuronal voltage gated Na+ channels
  • Enhances GABA activity
  • Glutamate receptor antagonist
  • Carbonic anhydrase inhibitor
PWS; ASD
  • Case series
  • Open-label trial
  • Double blind, placebo controlled trial
BehaviouralBehavioural therapy (multiple)
  • Target maladaptive thoughts and behaviours
  • Identifies proximal stressors
ASD; BPD; Eating disorder; TS; OCD
  • Case series
  • Case reports
  • Randomized controlled trials
NeuromodulationECT
  • Induces controlled seizures, which alter the chemical and electrical architecture of the brain
  • Disrupts neural circuits, affecting neuroplasticity
  • Alters neurotransmitter systems
ASD; MDD; Catatonia; OCD; BD; Schizophrenia
  • Case series
  • Case reports
Deep brain stimulation
  • Produces electrical impulses that affect brain activity (i.e., oscillatory activity, neurochemistry, plasticity, etc.)
TS; OCD; ASD; Dyskinesia; Acquired brain injury; Epilepsy; Dystonia
  • Case series
  • Case reports
  • Open-label pilot study
Abbreviations: 5-HT, serotonin; ADHD, attention deficit hyperactivity disorder; ASD, autism spectrum disorder; BP: bipolar disorder; BPD: borderline personality disorder; D2, dopamine receptor 2; ECT: electroconvulsive therapy; FXS: Fragile X syndrome; GABA, gamma-aminobutyric acid; MDD: major depression disorder; OCD, obsessive-compulsive disorder; PDD: pervasive developmental disorder; PWS: Prader-Willi syndrome; TS: Tourette syndrome.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhang, K.; Ibrahim, G.M.; Venetucci Gouveia, F. Molecular Pathways, Neural Circuits and Emerging Therapies for Self-Injurious Behaviour. Int. J. Mol. Sci. 2025, 26, 1938. https://doi.org/10.3390/ijms26051938

AMA Style

Zhang K, Ibrahim GM, Venetucci Gouveia F. Molecular Pathways, Neural Circuits and Emerging Therapies for Self-Injurious Behaviour. International Journal of Molecular Sciences. 2025; 26(5):1938. https://doi.org/10.3390/ijms26051938

Chicago/Turabian Style

Zhang, Kristina, George M. Ibrahim, and Flavia Venetucci Gouveia. 2025. "Molecular Pathways, Neural Circuits and Emerging Therapies for Self-Injurious Behaviour" International Journal of Molecular Sciences 26, no. 5: 1938. https://doi.org/10.3390/ijms26051938

APA Style

Zhang, K., Ibrahim, G. M., & Venetucci Gouveia, F. (2025). Molecular Pathways, Neural Circuits and Emerging Therapies for Self-Injurious Behaviour. International Journal of Molecular Sciences, 26(5), 1938. https://doi.org/10.3390/ijms26051938

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop