De-noising, phase ambiguity correction and visualization techniques for complex-valued ICA of group fMRI data

Pattern Recognition

Volumn 45, Issue 6, 2012, Pages 2050-2063

  Rodriguez, Pedro A ^a   Calhoun, Vince D ^b,c   Adal, Tülay ^a  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b MIND RESEARCH NETWORK   (United States)

^c UNIVERSITY OF NEW MEXICO   (United States)

Author keywords

De noising; fMRI; Group analysis; ICA; Phase ambiguity; Visualization

Indexed keywords

ANALYSIS ALGORITHMS; COMPLEX FORMS; DATA-DRIVEN; DE-NOISING; DENOISING METHODS; DISTANCE-BASED; FMRI; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GROUP ANALYSIS; GROUP STUDY; ICA ALGORITHMS; MAGNITUDE DATA; MAHALANOBIS; MODEL-DRIVEN TECHNIQUES; PERFORMANCE GAIN; PHASE AMBIGUITY; PHASE CORRECTIONS; PHASE INFORMATION; PRIOR INFORMATION; QUALITY MAPS; SEMI-BLIND METHODS; SENSITIVITY AND SPECIFICITY; THRESHOLDING METHODS; VISUALIZATION TECHNIQUE;

ALGORITHMS; FLOW VISUALIZATION; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; VISUALIZATION;

DATA VISUALIZATION;

EID: 84857048673     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.04.033     Document Type: Article

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