The utility of near-infrared spectroscopy in the regression of low-frequency physiological noise from functional magnetic resonance imaging data

NeuroImage

Volumn 59, Issue 4, 2012, Pages 3128-3138

  Cooper, R J ^a   Gagnon, Louis ^a,b,c   Goldenholz, Daniel M ^a   Boas, David A ^a   Greve, Douglas N ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^c USA   (United States)

Author keywords

Functional magnetic resonance imaging; Low frequency oscillations; Near infrared spectroscopy; Resting state

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN DEPTH STIMULATION; BRAIN SIZE; CALCULATION; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; HUMAN EXPERIMENT; NEAR INFRARED SPECTROSCOPY; NORMAL HUMAN; PRIORITY JOURNAL; SIMULATION; STIMULUS RESPONSE;

ADULT; BRAIN; HUMANS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; SIGNAL-TO-NOISE RATIO; SPECTROSCOPY, NEAR-INFRARED;

EID: 84855175123     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.11.028     Document Type: Article

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