Functional connectivity as revealed by independent component analysis of resting-state fNIRS measurements

NeuroImage

Volumn 51, Issue 3, 2010, Pages 1150-1161

  Zhang, Han ^a   Zhang, Yu Jin ^a   Lu, Chun Ming ^a   Ma, Shuang Ye ^a   Zang, Yu Feng ^a   Zhu, Chao Zhe ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Blind source separation; Functional connectivity; Functional near infrared spectroscopy (fNIRS); Independent component analysis (ICA); Optical imaging; Resting state

Indexed keywords

ADULT; ARTICLE; ARTIFACT REDUCTION; BRAIN FUNCTION; BRAIN MAPPING; CONTROLLED STUDY; FEMALE; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; MALE; NEAR INFRARED SPECTROSCOPY; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; REST; SENSITIVITY AND SPECIFICITY; SENSORIMOTOR CORTEX; SIGNAL NOISE RATIO; VISUAL SYSTEM;

ADULT; ALGORITHMS; BRAIN; BRAIN MAPPING; DIAGNOSIS, COMPUTER-ASSISTED; EVOKED POTENTIALS; FEMALE; HUMANS; MALE; OXIMETRY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, NEAR-INFRARED;

EID: 77952427372     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.02.080     Document Type: Article

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