MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes

MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes

The combined analysis of MEG/EEG and functional MRI measurements can lead to improvement in the description of the dynamical and spatial properties of brain activity. In this paper we empirically demonstrate this improvement using simulated and recorded task related MEG and fM...

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Bibliographic Details
Main Authors:	Sergey M Plis, Vince D Calhoun, Tom Eichele, Michael P Weisend, Terran Lane
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2010-11-01
Series:	Frontiers in Neuroinformatics
Subjects:	Dynamic Bayesian Networks latent variable inference multimodal data fusion particle filtering
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fninf.2010.00114/full

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