Robust data driven model order estimation for independent component analysis of fMRI data with low contrast to noise

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Majeed, Waqas ^a,b,c   Avison, Malcolm J ^b,c,d  

^a LAHORE UNIVERSITY OF MANAGEMENT SCIENCES   (Pakistan)

^b VANDERBILT UNIVERSITY   (United States)

^c VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^d VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MONOCRYSTALLINE IRON OXIDE NANOPARTICLE;

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; BOOTSTRAPPING; CONTRAST TO NOISE RATIO; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS; KERNEL METHOD; NOISE; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; RELIABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SQUIRREL MONKEY; STATISTICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; THEORETICAL MODEL;

MAGNETIC RESONANCE IMAGING; MODELS, THEORETICAL;

EID: 84899731979     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0094943     Document Type: Article

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