Effective connectivity analysis of resting-state mentalizing brain networks in spinocerebellar ataxia type 2: A dynamic causal modeling study [PDF]
NeuroImage: ClinicalNeuroimaging studies on healthy subjects described the causal effective connectivity of cerebellar-cerebral social mentalizing networks, revealing the presence of closed-loops.
Giusy Olivito +3 more
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Dynamic causal modeling of reorganization of memory and language networks in temporal lobe epilepsy [PDF]
Annals of Clinical and Translational Neurology, 2023 Objective To evaluate the alterations of language and memory functions using dynamic causal modeling, in order to identify the epileptogenic hemisphere in temporal lobe epilepsy (TLE).
Alireza Fallahi +10 more
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Inferring trajectories of psychotic disorders using dynamic causal modeling [PDF]
Computational Psychiatry, 2023 Introduction: Illness course plays a crucial role in delineating psychiatric disorders. However, existing nosologies consider only its most basic features (e.g., symptom sequence, duration).
Jingwen Jin +3 more
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Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling [PDF]
Frontiers in Neuroinformatics, 2021 Dynamic causal modeling (DCM) is a widely used tool to estimate the effective connectivity of specified models of a brain network. Finding the model explaining measured data is one of the most important outstanding problems in Bayesian modeling.
Sándor Csaba Aranyi +4 more
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Dynamic Causal Modeling for fMRI With Wilson-Cowan-Based Neuronal Equations [PDF]
Frontiers in Neuroscience, 2020 Dynamic causal modeling (DCM) is an analysis technique that has been successfully used to infer about directed connectivity between brain regions based on imaging data such as functional magnetic resonance imaging (fMRI).
Sadjad Sadeghi +10 more
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Dynamic causal modeling reveals increased cerebellar- periaqueductal gray communication during fear extinction [PDF]
Frontiers in Systems Neuroscience, 2023 IntroductionThe extinction of fear memories is an important component in regulating defensive behaviors, contributing toward adaptive processes essential for survival.
Elena Paci +4 more
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Task-Dependent Effective Connectivity of the Reward Network During Food Cue-Reactivity: A Dynamic Causal Modeling Investigation [PDF]
Frontiers in Behavioral Neuroscience, 2022 Neural reactivity to food cues may play a central role in overeating and excess weight gain. Functional magnetic resonance imaging (fMRI) studies have implicated regions of the reward network in dysfunctional food cue-reactivity, but neural interactions ...
Peyman Ghobadi-Azbari +3 more
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Estimating effective connectivity in Alzheimer's disease progression: A dynamic causal modeling study [PDF]
Frontiers in Human Neuroscience, 2022 IntroductionAlzheimer's disease (AD) affects the whole brain from the cellular level to the entire brain network structure. The causal relationship among brain regions concerning the different AD stages is not yet investigated.
Jiali Huang +4 more
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Dynamic causal modeling of neural responses to an orofacial pneumotactile velocity array [PDF]
NeuroImage: Reports, 2022 The effective connectivity of neuronal networks during orofacial pneumotactile stimulation with different velocities is still unknown. The present study aims to characterize the effectivity connectivity elicited by three different saltatory velocities (5,
Yingying Wang +3 more
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Dynamic causal modeling of low-density resting-state EEG in long-term meditation practitioners [PDF]
Scientific ReportsMeditation is a complex cognitive practice associated with significant neurophysiological changes, particularly in long-term practitioners. These individuals represent an ideal human model for investigating neural changes associated to their consistent ...
Gianluca Rho +11 more
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