Characterization of Post-traumatic Stress Disorder Using Resting-State fMRI with a Multi-level Parametric Classification Approach

Brain Topography

Volumn 28, Issue 2, 2015, Pages 221-237

  Liu, Feng ^a,b   Xie, Bing ^c   Wang, Yifeng ^a   Guo, Wenbin ^d   Fouche, Jean Paul ^e,f   Long, Zhiliang ^a   Wang, Wenqin ^g   Chen, Heng ^a   Li, Meiling ^a   Duan, Xujun ^a   Zhang, Jiang ^h   Qiu, Mingguo ^c   Chen, Huafu ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b TIANJIN MEDICAL UNIVERSITY   (China)

^c THIRD MILITARY MEDICAL UNIVERSITY   (China)

^d GUANGXI MEDICAL UNIVERSITY   (China)

^e UNIVERSITY OF CAPE TOWN   (South Africa)

^f STELLENBOSCH UNIVERSITY   (South Africa)

^g TIANJIN POLYTECHNIC UNIVERSITY   (China)

^h SICHUAN UNIVERSITY   (China)

Author keywords

Limbic system; Multi kernel learning; Multi level feature; Prefrontal cortex; Spatial functional connectivity; Temporal functional connectivity

Indexed keywords

ADULT; BRAIN; BRAIN MAPPING; FEMALE; HUMAN; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES; REST; SENSITIVITY AND SPECIFICITY; STRESS DISORDERS, POST-TRAUMATIC;

ADULT; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; REST; SENSITIVITY AND SPECIFICITY; STRESS DISORDERS, POST-TRAUMATIC;

EID: 84932610622     PISSN: 08960267     EISSN: 15736792     Source Type: Journal    
DOI: 10.1007/s10548-014-0386-2     Document Type: Article

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