Predicting individual scores from resting state fMRI using partial least squares regression

Proceedings - International Symposium on Biomedical Imaging

Volumn 2016-June, Issue , 2016, Pages 1311-1314

  Meskaldji, Djalel E ^a,b   Preti, Maria Giulia ^a,b   Bolton, Thomas ^a,b   Montandon, Marie Louise ^c   Rodriguez, Cristelle ^c   Morgenthaler, A Stephan ^a   Giannakopoulos, Panteleimon ^c   Haller, Sven ^c   Van De Ville, Dimitri ^a,b  

^a EPFL   (Switzerland)

^b UNIVERSITY OF GENEVA   (Switzerland)

^c GENEVA UNIVERSITY HOSPITALS   (Switzerland)

Author keywords

anti correlation; bootstrap; fMRI; Functional connectivity; sample size

Indexed keywords

BRAIN; FORECASTING; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; REGRESSION ANALYSIS;

BOOTSTRAP; FMRI; FUNCTIONAL CONNECTIVITY; HIGH-DIMENSIONAL REGRESSION PROBLEMS; MILD COGNITIVE IMPAIRMENTS; PARTIAL LEAST SQUARES REGRESSION; RESTING-STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING; SAMPLE SIZES;

LEAST SQUARES APPROXIMATIONS;

EID: 84978427725     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2016.7493508     Document Type: Conference Paper

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