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Abstract #4524

EEG/MEG Source Imaging using fMRI Informed Time-variant Constraints

Jing Xu1, Jingwei Sheng1, Tianyi Qian2, Zihui Su3, and Jia-Hong Gao1

1Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China, 2Siemens Healthcare, MR Collaborations NE Asia, Beijing, China, 3Department of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada

The accuracy of fMRI-constrained EEG/MEG source imaging may be degraded by potential spatial mismatches between the locations of fMRI activation and electrical source activities. To address this problem, we propose a novel fMRI informed time-variant constraint (FITC) method. Simulations were performed to compare the source estimates produced by L2-minimum norm estimation (MNE), fMRI-weighted minimum norm estimation (fMNE), FITC and depth-weighted FITC (wFITC) algorithms with various spatial mismatch conditions. In conclusion, the proposed FITC method is able to better resolve the spatial mismatch problems encountered in fMRI-constrained EEG/MEG source imaging.

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