A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging

NeuroImage

Volumn 102, Issue P1, 2014, Pages 92-117

  Silva, Rogers F ^a,b   Plis, Sergey M ^a   Adali, Tülay ^c   Calhoun, Vince D ^a,b  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Copula; Fusion; ICA; Multidimensional; Multimodal; Simulation; Stochastic

Indexed keywords

ALGORITHM; CONCEPTUAL FRAMEWORK; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL ANALYSIS; MOTIVATION; MULTIMODAL IMAGING; MULTIVARIATE ANALYSIS OF COVARIANCE; NEUROIMAGING; NEUROPHYSIOLOGY; REVIEW; SIMULATION; STATISTICS; VALIDITY; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN;

COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; MULTIMODAL IMAGING; NEUROIMAGING; STOCHASTIC PROCESSES;

EID: 84908373461     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.04.035     Document Type: Review

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