Hierarchical Bayesian estimation for MEG inverse problem

NeuroImage

Volumn 23, Issue 3, 2004, Pages 806-826

  Sato, Masa Aki ^a,b   Yoshioka, Taku ^a   Kajihara, Shigeki ^c   Toyama, Keisuke ^c   Goda, Naokazu ^d   Doya, Kenji ^a,b   Kawato, Mitsuo ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c SHIMADZU CORPORATION   (Japan)

^d NATIONAL INSTITUTE FOR PHYSIOLOGICAL SCIENCES   (Japan)

Author keywords

Hierarchical Bayesian method; MEG EEG inverse problem; MRI and fMRI information; Spatial smoothness constraint; Variance estimation; Variational Bayesian method

Indexed keywords

ACCURACY; ANALYSIS OF VARIANCE; ARTICLE; BAYES THEOREM; BRAIN CORTEX; MAGNETOENCEPHALOGRAPHY; MATHEMATICAL PARAMETERS; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION;

ALGORITHMS; BAYES THEOREM; CEREBRAL CORTEX; COMPUTER SIMULATION; HUMANS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; VISUAL CORTEX;

EID: 7444245570     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2004.06.037     Document Type: Article

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