A method to determine the necessity for global signal regression in resting-state fMRI studies

Magnetic Resonance in Medicine

Volumn 68, Issue 6, 2012, Pages 1828-1835

  Chen, Gang ^a   Chen, Guangyu ^a   Xie, Chunming ^a   Ward, B Douglas ^a   Li, Wenjun ^a   Antuono, Piero ^a   Li, Shi Jiang ^a  

^a MEDICAL COLLEGE OF WISCONSIN   (United States)

Author keywords

global noise; global signal; global signal regression; resting state fMRI

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; REGRESSION ANALYSIS; SIGNAL SYSTEMS;

BIOLOGICAL SIGNIFICANCE; DEFAULT-MODE NETWORKS; FUNCTIONAL CONNECTIVITY; GLOBAL EFFECTS; GLOBAL NOISE; RESTING STATE FUNCTIONAL MRIS; RESTING-STATE FMRI; SIGNAL REGRESSION;

FUNCTIONAL NEUROIMAGING;

ACCURACY; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GLOBAL SIGNAL REGRESSION; GLUCOSE METABOLISM; HUMAN; IMAGE PROCESSING; MALE; NORMAL HUMAN; RADIOLOGICAL PARAMETERS; REST; SIGNAL NOISE RATIO;

EID: 84860325685     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.24201     Document Type: Article

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