Reduction of physiological noise with independent component analysis improves the detection of nociceptive responses with fMRI of the human spinal cord

NeuroImage

Volumn 63, Issue 1, 2012, Pages 245-252

  Xie, G ^a,e   Piche M ^a,f   Khoshnejad, M ^a   Perlbarg, V ^b   Chen, J I ^a   Hoge, R D ^a   Benali, H ^a,b   Rossignol, S ^a   Rainville, P ^a   Cohen Adad, J ^a,b,c,d  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b SORBONNE UNIVERSITÉ   (France)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^e UNIVERSITY OF SASKATCHEWAN   (Canada)

^f UNIVERSITÉ DU QUÉBEC À TROIS RIVIÈRES   (Canada)

Author keywords

FMRI; ICA; Pain; Physiological noise; Spinal cord

Indexed keywords

ADULT; ARTICLE; BOLD SIGNAL; CEREBROSPINAL FLUID; CERVICAL SPINAL CORD; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; NOCICEPTION; NOCICEPTIVE STIMULATION; NOISE REDUCTION; NORMAL HUMAN; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; STIMULUS RESPONSE;

ALGORITHMS; EVOKED POTENTIALS, SOMATOSENSORY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NOCICEPTION; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL-TO-NOISE RATIO; SPINAL CORD;

EID: 84864418897     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.06.057     Document Type: Article

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