MEG source localization under multiple constraints: An extended Bayesian framework

NeuroImage

Volumn 30, Issue 3, 2006, Pages 753-767

  Mattout, Jérémie ^a   Phillips, Christophe ^b   Penny, William D ^a   Rugg, Michael D ^c   Friston, Karl J ^a  

^a WELLCOME TRUST CENTRE FOR NEUROIMAGING   (United Kingdom)

^b UNIVERSITY OF LIÈGE   (Belgium)

^c Center for the Neurobiology of Learning and Memory   (United States)

Author keywords

Empirical Bayes; Inverse problem; MEG; Model selection; Multiple constraints; Multivariate Source Prelocalization (MSP); Restricted maximum likelihood (ReML); ROC

Indexed keywords

ARTICLE; BAYES THEOREM; CALCULATION; COMPARATIVE STUDY; DIAGNOSTIC IMAGING; ELECTROENCEPHALOGRAPHY; EMPIRICISM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; MONTE CARLO METHOD; NEUROIMAGING; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SIGNAL DETECTION; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; VALIDITY; VARIANCE;

BAYES THEOREM; MAGNETOENCEPHALOGRAPHY;

EID: 33645737307     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.10.037     Document Type: Article

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