A bayesian hierarchical correlation model for fMRI cluster analysis

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 7, 2011, Pages 1967-1976

  Gomez Laberge, Camille ^a,b   Adler, Andy ^a   Cameron, Ian ^c   Nguyen, Thanh ^c   Hogan, Matthew J ^b  

^a CARLETON UNIVERSITY   (Canada)

^b OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Bayesian hierarchical model; cerebrovascular disease (CVD); cluster analysis; functional magnetic resonance imaging (fMRI); stroke

Indexed keywords

BASAL GANGLIA; BAYESIAN HIERARCHICAL MODEL; BLOOD OXYGENATION; CEREBROVASCULAR DISEASE; CORRELATION MODELS; CORRELATION STRUCTURE; DATA-DRIVEN; DATA-DRIVEN METHODS; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GENERAL LINEAR MODELS; HIERARCHICAL ORGANIZATIONS; MODEL-DRIVEN METHOD; MOTOR TASKS; RESPONSE SIGNAL; SENSORIMOTOR CORTEX; SIGNAL DISCRIMINATION; STROKE; TIME SIGNALS;

CLUSTER ANALYSIS; HIERARCHICAL SYSTEMS; MAGNETIC RESONANCE IMAGING; OXYGENATION; RESONANCE;

COMPUTER SIMULATION;

ADULT; ALGORITHM; ARTICLE; BASAL GANGLION; BAYES THEOREM; BLOOD OXYGENATION; CARDIOVASCULAR DISEASE; CLUSTER ANALYSIS; ECHO PLANAR IMAGING; FEMALE; FOURIER TRANSFORMATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; PUTAMEN; SENSORIMOTOR CORTEX; SIMULATION;

ADULT; BAYES THEOREM; BRAIN; CEREBROVASCULAR DISORDERS; CLUSTER ANALYSIS; FEMALE; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, THEORETICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 79958781719     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2108296     Document Type: Article

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