Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients

Human Brain Mapping

Volumn 35, Issue 4, 2014, Pages 1761-1778

  Li, Xiang ^a   Zhu, Dajiang ^a   Jiang, Xi ^a   Jin, Changfeng ^b   Zhang, Xin ^a,c   Guo, Lei ^c   Zhang, Jing ^d   Hu, Xiaoping ^e   Li, Lingjiang ^b   Liu, Tianming ^a  

^a Department of Computer Science and Bioimaging Research Center The University of Georgia ^*  (United States)

^b CENTRAL SOUTH UNIVERSITY   (China)

^c NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^d YALE UNIVERSITY   (United States)

^e EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Connectivity; Diffusion tensor imaging; Resting state fMRI

Indexed keywords

ARTICLE; CLINICAL ARTICLE; CONNECTOME; CONTROLLED STUDY; DEFAULT MODE NETWORK; DIFFUSION TENSOR IMAGING; FUNCTIONAL CONNECTOME; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LEARNING; POSTTRAUMATIC STRESS DISORDER; PRIORITY JOURNAL; ALGORITHM; ARTIFICIAL INTELLIGENCE; BRAIN; LABORATORY DIAGNOSIS; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; REST; SIGNAL PROCESSING; STRESS DISORDERS, POST-TRAUMATIC;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CONNECTOME; FALSE POSITIVE REACTIONS; HUMANS; MAGNETIC RESONANCE IMAGING; NEURAL PATHWAYS; REPRODUCIBILITY OF RESULTS; REST; SIGNAL PROCESSING, COMPUTER-ASSISTED; STRESS DISORDERS, POST-TRAUMATIC;

EID: 84896396623     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22290     Document Type: Article

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