NDLI: Adaptive Wiener filter formulation on the fMRI-EEG integrated spatiotemporal neuroimaging

Content Provider	IEEE Xplore Digital Library
Author	Zhongming Liu Bin He
Copyright Year	2007
Description	Author affiliation: Univ. of Minnesota, Minneapolis (Zhongming Liu; Bin He)
Abstract	In response to a need of establishing a high-resolution spatiotemporal neuroimaging technology, tremendous efforts have been directed upon developing multimodal neuroimaging strategies that combine the complementary advantages of high-spatial-resolution functional magnetic resonance imaging (fMRI) and high-temporal-resolution electroencephalography (EEG) or magnetoencephalography (MEG). A critical challenge to the fMRI-EEG/MEG integration lies in the spatial mismatches between fMRI activations and instantaneous electrical source activities. Such mismatches are fundamentally due to the fact that fMRI and EEG/MEG signals are generated and collected in highly different time scales. In this paper, we propose a new theoretical framework to solve the problem of fMRI-EEG integrated cortical source imaging. The new framework has two principal technical advancements. First, by assuming a linear neurovascular coupling, a method is rigorously derived to quantify the fMRI signal in each voxel as proportional to the time integral of the power of local electrical current source over the period of event related potentials (ERP). Second, the EEG inverse problem is solved for every time instant using an adaptive Wiener filter, in which the prior time-variant source covariance matrix is estimated by combining the quantified fMRI responses and the segmented EEG signals before response averaging. Our preliminary computer simulation results suggest that the proposed method provides a reliable technique for the fMRI-EEG integration and represents a significant advancement over the conventional fMRI-weighted EEG (or MEG) source imaging techniques, and is also applicable to fMRI-MEG integrated source imaging.
Starting Page	159
Ending Page	161
File Size	283146
Page Count	3
File Format	PDF
ISBN	9781424409488
DOI	10.1109/NFSI-ICFBI.2007.4387714
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neuroimaging Wiener filter Inverse problems Magnetic resonance imaging Magnetoencephalography Signal generators Electroencephalography Enterprise resource planning Spatiotemporal phenomena Covariance matrix
Content Type	Text
Resource Type	Article

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