An empirical comparison of information-theoretic criteria in estimating the number of independent components of fmri data

PLoS ONE

Volumn 6, Issue 12, 2011, Pages

  Hui, Mingqi ^a   Li, Juan ^a   Wen, Xiaotong ^b   Yao, Li ^a   Long, Zhiying ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COLORED NOISE LEVEL; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INDEPENDENT COMPONENT ANALYSIS; INFORMATION SCIENCE; INFORMATION THEORETIC CRITERIA; MATHEMATICAL ANALYSIS; NOISE; NORMAL DISTRIBUTION; PERFORMANCE; SIMULATION; SPATIAL SMOOTHNESS DEGREE; TEMPORAL DATA SIZE; ADULT; COMPARATIVE STUDY; EMPIRICAL RESEARCH; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MODEL; THEORETICAL MODEL;

ADULT; EMPIRICAL RESEARCH; HUMANS; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MODELS, THEORETICAL; PRINCIPAL COMPONENT ANALYSIS;

EID: 84455173328     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0029274     Document Type: Article

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