Estimation of resting-state functional connectivity using random subspace based partial correlation: A novel method for reducing global artifacts

NeuroImage

Volumn 82, Issue , 2013, Pages 87-100

  Chen, Tianwen ^a   Ryali, Srikanth ^a   Qin, Shaozheng ^a   Menon, Vinod ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

FMRI; Functional connectivity; Global artifacts; Partial correlation; Random subspace; Resting state

Indexed keywords

ACCURACY; ADULT; ARTICLE; ARTIFACT REDUCTION; BRAIN FUNCTION; CONNECTOME; DEFAULT MODE NETWORK; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMISPHERE; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; MALE; NEUROIMAGING; NORMAL HUMAN; POSTERIOR CINGULATE; PRIORITY JOURNAL; RESTING STATE NETWORK; SENSITIVITY AND SPECIFICITY; SIMULATION; TEMPORAL CORTEX;

FMRI; FUNCTIONAL CONNECTIVITY; GLOBAL ARTIFACTS; PARTIAL CORRELATION; RANDOM SUBSPACE; RESTING STATE;

ARTIFACTS; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; REST; YOUNG ADULT;

EID: 84879732931     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.05.118     Document Type: Article

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