Denoising the speaking brain: Toward a robust technique for correcting artifact-contaminated fMRI data under severe motion

NeuroImage

Volumn 103, Issue , 2014, Pages 33-47

  Xu, Yisheng ^a   Tong, Yunxia ^b   Liu, Siyuan ^a   Chow, Ho Ming ^a   AbdulSabur, Nuria Y ^a,c   Mattay, Govind S ^d   Braun, Allen R ^a  

^a NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS   (United States)

^b NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

FMRI; Independent component analysis; Motion artifacts; Resting state functional connectivity; Speech production

Indexed keywords

ADULT; ARTICLE; ARTIFACT REDUCTION; AUTOMATION; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; MALE; NEUROIMAGING; NOISE REDUCTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; RESTING STATE NETWORK; SPEECH; ALGORITHM; ARTIFACT; BRAIN; BRAIN MAPPING; MOTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; YOUNG ADULT;

ADULT; ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; FEMALE; HEAD MOVEMENTS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MOTION; YOUNG ADULT;

EID: 84907500432     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.09.013     Document Type: Article

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