Cortical morphological alterations in methamphetamine-induced psychosis: a surface-based morphometry study. [PDF]
Methamphetamine (METH)-induced psychosis (MAP), characterized by transient schizophreniform symptoms, affects approximately 43% of individuals with methamphetamine use disorders (MUD). However, the cortical atrophy pattern associated with MAP remain unclear.Ninety-four male patients with MUD (62 without psychotic symptoms [MA] and 32 MAP) and 61 ...
Shen D, Luo D, Lai M, Tao H, Xu J, Li J.
europepmc +3 more sources
Alterations of peripheral cytokines, BDNF, and surface-based morphometry indices in T2DM patients without cognitive impairment [PDF]
PurposeThis study aimed to investigate potential biological mechanisms underlying cognitive function alterations in Type 2 diabetes mellitus (T2DM) patients by integrating cortical morphology with peripheral cytokine levels and brain-derived neurotrophic
Wenjiao Lyu +5 more
doaj +2 more sources
Accurate detection of the regions of Alzheimer's disease (AD) lesions is critical for early intervention to effectively slow down the progression of the disease.
Zhanxiong Wu +4 more
doaj +3 more sources
Mapping the multiscale neuroanatomy of GRN-related frontotemporal dementia using mode-based morphometry [PDF]
Background: Individuals carrying Progranulin (GRN) mutations show asymmetrical grey matter atrophy, which could be used for early detection in the long asymptomatic phase.
Enrico Premi +14 more
doaj +2 more sources
Surface-based morphometry of the corpus callosum in young children of ages 1-5. [PDF]
AbstractThe corpus callosum (CC) is a large white matter fiber bundle in the brain and is involved in various cognitive, sensory, and motor processes. While implicated in various developmental and psychiatric disorders, much is yet to be uncovered about the normal development of this structure, especially in young children.
Gajawelli N +10 more
europepmc +3 more sources
Surface-based morphometry reveals the neuroanatomical basis of the five-factor model of personality. [PDF]
The five-factor model (FFM) is a widely used taxonomy of human personality; yet its neuro anatomical basis remains unclear. This is partly because past associations between gray-matter volume and FFM were driven by different surface-based morphometry (SBM) indices (i.e. cortical thickness, surface area, cortical folding or any combination of them).
Riccelli R +4 more
europepmc +7 more sources
Comprehensive surface‐based morphometry reveals the association of fracture risk and bone geometry [PDF]
AbstractSurface‐based morphometry method is advantageous in its objectivity and increased capability in detecting focal morphological changes, but has not been applied in bone‐related research. Orthopedics research in human has confirmed the association of the bone geometry in proximal femur and its fracture. In this study, surface‐based morphometry is
James Griffith, Ling Qin, Defeng Wang
exaly +3 more sources
Altered Brain Structure in the Patients with Painful Temporomandibular Disorders: A Pilot Surface-based Morphometry. [PDF]
Background: Pain is a significant indicator of temporomandibular disorders (TMDs), which are impacted by a complex process. Recently, the evolution and chronification of painful TMD (p-TMD) have been facilitated by central nervous system mechanisms. Therefore, the purpose of this study was to investigate the aberrant brain structure in p-TMD patients ...
Li X, Jiang Y, Chen Z.
europepmc +3 more sources
Morphologic changes in the visual cortex of patients with anisometropic amblyopia: a surface-based morphometry study. [PDF]
Amblyopia is generally considered a neurodevelopmental disorder that results from abnormal visual experiences in early childhood and may persist to adulthood. The neural basis of amblyopia has been a matter of interest for many decades, but the critical neural processing sites in amblyopia are not entirely understood.
Liang M +5 more
europepmc +5 more sources
Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study. [PDF]
Here we analyze gray matter indices before and after completing a challenging adaptive cognitive training program based on the n-back task. The considered gray matter indices were cortical thickness (CT) and cortical surface area (CSA). Twenty-eight young women (age range 17-22 years) completed 24 training sessions over the course of 3 months (12 weeks,
Román FJ +10 more
europepmc +7 more sources

