Vector autoregression, structural equation modeling, and their synthesis in neuroimaging data analysis

Computers in Biology and Medicine

Volumn 41, Issue 12, 2011, Pages 1142-1155

  Chen, Gang ^a   Glen, Daniel R ^a   Saad, Ziad S ^a   Paul Hamilton, J ^b   Thomason, Moriah E ^b   Gotlib, Ian H ^b   Cox, Robert W ^a  

^a NIMH/NIH/HHS   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

Connectivity analysis; Structural equation modeling (SEM); Structural vector autoregression (SVAR); Vector autoregression (VAR)

Indexed keywords

CONNECTED REGION; CONNECTIVITY ANALYSIS; CONNECTIVITY MODEL; DATA-DRIVEN APPROACH; EXPLANATORY POWER; FMRI DATA; MODELING TOOL; NEURO-IMAGING; STRUCTURAL EQUATION MODELING; STRUCTURAL EQUATION MODELING (SEM); STRUCTURAL VECTOR AUTOREGRESSION (SVAR); UNIFIED APPROACH; VECTOR AUTOREGRESSION (VAR); VECTOR AUTOREGRESSIONS;

VALUE ENGINEERING; VECTORS;

REGRESSION ANALYSIS;

ARTICLE; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DATA ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN TISSUE; INFORMATION PROCESSING; NEUROIMAGING; PRIORITY JOURNAL; STRUCTURAL EQUATION MODELING; VECTOR AUTOREGRESSION;

ALGORITHMS; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NEURAL PATHWAYS; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 82955227445     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.09.004     Document Type: Article

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