Multimodal integration: constraining MEG localization with EEG and fMRI

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Event Abstract Back to Event Multimodal integration: constraining MEG localization with EEG and fMRI Richard Henson1* 1 Medical Research Council – Cognition & Brain Sciences Unit, United Kingdom I review recent methodological developments for multimodal integration of MEG, EEG and fMRI data within a Parametric Empirical Bayesian framework [1]. More specifically, I describe two ways to incorporate multimodal data during distributed MEG/EEG source reconstruction under linear Gaussian assumptions: 1) the simultaneous inversion of EEG and MEG data using a common generative model [2], and 2) the addition of spatial priors from fMRI data when inverting MEG or EEG data [3]. In the former, the addition of EEG data was shown to increase the conditional precision of source estimates relative to MEG alone; in the latter, the inclusion of each suprathreshold cluster in the fMRI data as a separate spatial prior was shown to increase the Bayesian model evidence for MEG and EEG reconstruction. The former is an example of "symmetric" integration, or "fusion", in which a single generative model of all data modalities is inverted; the latter is an example of "asymmetric" integration, in which the data from one modality is used to inform inversion of another. I will conclude by considering whether symmetric fusion of MEG/EEG and fMRI data is worthwhile. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: Instrumentation and Multi-modal Integrations: MEG, Low-field MRI,EEG, fMRI,TMS,NIRS Citation: Henson R (2010). Multimodal integration: constraining MEG localization with EEG and fMRI. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00015 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 18 Mar 2010; Published Online: 18 Mar 2010. * Correspondence: Richard Henson, Medical Research Council – Cognition & Brain Sciences Unit, Paris, United Kingdom, rik.henson@mrc-cbu.cam.ac.uk Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Richard Henson Google Richard Henson Google Scholar Richard Henson PubMed Richard Henson Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.