A state space approach to multimodal integration of simultaneously recorded EEG and fMRI

A state space approach to multimodal integration of simultaneously recorded EEG and fMRI

We develop a state space approach to multimodal integration of simultaneously recorded EEG and fMRI. The EEG is represented with a distributed current source model using realistic MRI-based forward models, whose temporal evolution is governed by a linear state space model. The fMRI signal is similar...

Full description

Bibliographic Details
Main Authors: Purdon, Patrick Lee (Contributor), Lamus Garcia Herreros, Camilo (Contributor), Hamalainen, Matti S. (Contributor), Brown, Emery N. (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2012-04-24T15:49:48Z.
Subjects:
Article
Online Access:Get fulltext
Description
Summary:We develop a state space approach to multimodal integration of simultaneously recorded EEG and fMRI. The EEG is represented with a distributed current source model using realistic MRI-based forward models, whose temporal evolution is governed by a linear state space model. The fMRI signal is similarly modeled by a linear state space model describing the hemodynamic response to underlying EEG current activity. We explore the feasibility of high dimensional dynamic estimation of simultaneous EEG/fMRI using simulation studies of the alpha wave.

Similar Items