Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM

NeuroImage

Volumn 84, Issue , 2014, Pages 476-487

  Lopez J D ^a   Litvak, V ^b   Espinosa, J J ^c   Friston, K ^b   Barnes, G R ^b  

^a UNIVERSIDAD DE ANTIOQUIA   (Colombia)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

Bayesian model selection; Free energy; MEG EEG inverse problem; Multiple Sparse Priors

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; COMPUTER MODEL; COMPUTER PROGRAM; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; MAGNETOENCEPHALOGRAPHY; PRIORITY JOURNAL; STATISTICAL PARAMETRIC MAPPING; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BRAIN; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETOENCEPHALOGRAPHY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84884924525     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.09.002     Document Type: Article

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