Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework

NeuroImage

Volumn 60, Issue 4, 2012, Pages 1970-1981

  Afshin Pour, Babak ^a,b   Hossein Zadeh, Gholam Ali ^a,c   Strother, Stephen C ^b,d   Soltanian Zadeh, Hamid ^a,c,e  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ROTMAN RESEARCH INSTITUTE   (Canada)

^c INSTITUTE FOR RESEARCH IN FUNDAMENTAL SCIENCES IPM   (Iran)

^d UNIVERSITY OF TORONTO   (Canada)

^e HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

Canonical variant analysis (CVA); Functional magnetic resonance imaging (fMRI); Generalized canonical correlation analysis (gCCA); Multivariate analysis techniques; Reproducibility

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN FUNCTION; CANONICAL VARIATES ANALYSIS; COMPUTER PROGRAM; CORRELATION ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERALIZED CANONICAL CORRELATION ANALYSIS; INTERMETHOD COMPARISON; MENTAL TASK; PRIORITY JOURNAL; REACTION TIME; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICAL PARAMETRIC MAP;

BRAIN; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS;

EID: 84858132502     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.01.137     Document Type: Article

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