Towards a consensus regarding global signal regression for resting state functional connectivity MRI

NeuroImage

Volumn 154, Issue , 2017, Pages 169-173

  Murphy, Kevin ^a,b   Fox, Michael D ^c,d  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c HARVARD MEDICAL SCHOOL   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BEHAVIORISM; BOLD SIGNAL; BRAIN METABOLISM; BRAIN REGION; CONSENSUS; CORRELATIONAL STUDY; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GLOBAL SIGNAL REGRESSION; HUMAN; NERVE CONDUCTION; NERVOUS SYSTEM PARAMETERS; NEUROIMAGING; PRIORITY JOURNAL; RESTING STATE NETWORK; CONNECTOME; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES;

CONNECTOME; CONSENSUS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 85007483134     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.11.052     Document Type: Article

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