Group replicator dynamics: A novel group-wise evolutionary approach for sparse brain network detection

IEEE Transactions on Medical Imaging

Volumn 31, Issue 3, 2012, Pages 576-585

  Ng, Bernard ^a   McKeown, Martin J ^a   Abugharbieh, Rafeef ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Functional connectivity; functional magnetic resonance imaging (fMRI); group analysis; inter subject variability; replicator dynamics; sparse principal component analysis (PCA)

Indexed keywords

FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GROUP ANALYSIS; INTER-SUBJECT VARIABILITY; REPLICATOR DYNAMICS; SPARSE PRINCIPAL COMPONENT ANALYSIS;

BRAIN; DYNAMICS; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS;

FUNCTIONAL NEUROIMAGING;

ARTICLE; BIOLOGICAL MODEL; BRAIN; CASE CONTROL STUDY; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PARKINSON DISEASE; PATHOPHYSIOLOGY; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY;

BRAIN; CASE-CONTROL STUDIES; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; PARKINSON DISEASE; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 84857929858     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2173699     Document Type: Article

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