Characterizing and Differentiating Brain State Dynamics via Hidden Markov Models

Brain Topography

Volumn 28, Issue 5, 2015, Pages 666-679

  Ou, Jinli ^a   Xie, Li ^a   Jin, Changfeng ^c   Li, Xiang ^b   Zhu, Dajiang ^b   Jiang, Rongxin ^a   Chen, Yaowu ^a   Zhang, Jing ^d   Li, Lingjiang ^c   Liu, Tianming ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b The University of Georgia ^*  (United States)

^c CENTRAL SOUTH UNIVERSITY   (China)

^d GEORGIA STATE UNIVERSITY   (United States)

Author keywords

fMRI; Functional connectome; PTSD; Temporal dynamics

Indexed keywords

ADULT; ARTICLE; CLINICAL ARTICLE; CONNECTOME; CONTROLLED STUDY; DISEASE CLASSIFICATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIDDEN MARKOV MODEL; HUMAN; LEARNING; MENTAL PATIENT; MOOD; NUCLEAR MAGNETIC RESONANCE SCANNER; POSTTRAUMATIC STRESS DISORDER; PREDICTION; PRIORITY JOURNAL; BIOLOGICAL MODEL; BRAIN; CASE CONTROL STUDY; IMAGE PROCESSING; MARKOV CHAIN; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES;

ADULT; BRAIN; CASE-CONTROL STUDIES; CONNECTOME; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MODELS, NEUROLOGICAL; NEURAL PATHWAYS; STRESS DISORDERS, POST-TRAUMATIC;

EID: 84938742391     PISSN: 08960267     EISSN: 15736792     Source Type: Journal    
DOI: 10.1007/s10548-014-0406-2     Document Type: Article

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