A novel approach for global noise reduction in resting-state fMRI: APPLECOR

NeuroImage

Volumn 64, Issue 1, 2013, Pages 19-31

  Marx, Michael ^a   Pauly, Kim Butts ^b   Chang, Catie ^a,c  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY   (United States)

^c NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

Author keywords

Default mode network; FMRI; Functional connectivity; Networks; Noise correction; Resting state

Indexed keywords

ADULT; ARTICLE; BOLD SIGNAL; BRAIN MAPPING; BRAIN NERVE CELL; BRAIN RADIOGRAPHY; BREATHING; CEREBROSPINAL FLUID; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEART RATE; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; INTERMETHOD COMPARISON; MALE; MATHEMATICAL MODEL; NERVE CELL NETWORK; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL PROCESSING; SIMULATION;

ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; CARDIAC-GATED IMAGING TECHNIQUES; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; REPRODUCIBILITY OF RESULTS; RESPIRATORY-GATED IMAGING TECHNIQUES; REST; SENSITIVITY AND SPECIFICITY; SIGNAL-TO-NOISE RATIO; YOUNG ADULT;

EID: 84867470380     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.09.040     Document Type: Article

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