Sparse logistic regression for whole-brain classification of fMRI data

NeuroImage

Volumn 51, Issue 2, 2010, Pages 752-764

  Ryali, Srikanth ^a   Supekar, Kaustubh ^a   Abrams, Daniel A ^a   Menon, Vinod ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Classification; Logistic regression; Regularization

Indexed keywords

ACCURACY; ARTICLE; AUDITORY DISCRIMINATION; BRAIN FUNCTION; BRAIN REGION; COGNITION; CONTROLLED STUDY; DATA ANALYSIS; FRONTAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; NEUROIMAGING; NORMAL HUMAN; PATTERN RECOGNITION; PREVALENCE; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SPEECH DISCRIMINATION; STIMULUS RESPONSE; SUPPORT VECTOR MACHINE; TEMPORAL CORTEX;

ALGORITHMS; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LOGISTIC MODELS; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY;

EID: 77951976541     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.02.040     Document Type: Article

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