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Event Abstract Back to Event A New Multimodal Neuroimaging Method Integrating Simultaneously Recorded EEG and MEG Jong-Ho Choi1*, Young-Jin Jung2, June-Sic Kim3, Chun-Kee Chung3, Hyun-Kyo Jung1 and Chang-Hwan Im2 1 Seoul National University, School of Electrical Engineering, Republic of Korea 2 Yonsei University, Department of Biomedical Engineering, Republic of Korea 3 Seoul National University College of Medicine, MEG Center, Department of Neurosurgery, Republic of Korea Accurate reconstruction of neural current source distribution has been a crucial issue for many EEG and MEG applications such as epileptogenic source localization. Since MEG cannot reliably detect the radially oriented sources, many studies have assumed that the MEG data are generated only from the tangential components of neuronal sources. In contrast, EEG is sensitive to both tangential and radial components of sources. In this study, we propose a new multimodal neuroimaging method integrating simultaneously recorded EEG and MEG, considering the directional sensitivity characteristics of EEG and MEG. To take account of directional sensitivity of EEG and MEG, we decompose the sensor and source spaces into radial and tangential components and develop an explicit formulation which reflects the difference in the directional sensitivity of EEG and MEG without any assumption on the tangential component of MEG data. The radial direction at a source location is defined as the orientation along which the calculated MEG data is minimized. Since the cortical current is oriented normal to the cortical surface, the tangential direction can be uniquely defined by the normal and radial direction. On the sensor space, the EEG or MEG data is decomposed by the radial and tangential components which are generated by the radial and tangential components of the source respectively. The extensive computer simulation supports that the new combined method enhances the overall accuracy and brings major improvement when the radial component of source patches is dominant. We also apply our method to practical EEG and MEG data recorded simultaneously for an epilepsy patient whose surgical outcome was successful. Compared to source locations obtained from EEG, MEG and conventional combined method, the source distribution acquired from the new methods shows the best coincidence with the resection areas. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: Epilepsy Citation: Choi J, Jung Y, Kim J, Chung C, Jung H and Im C (2010). A New Multimodal Neuroimaging Method Integrating Simultaneously Recorded EEG and MEG. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00324 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: 06 Apr 2010; Published Online: 06 Apr 2010. * Correspondence: Jong-Ho Choi, Seoul National University, School of Electrical Engineering, Seoul, Republic of Korea, cjhaha@snu.ac.kr 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 Jong-Ho Choi Young-Jin Jung June-Sic Kim Chun-Kee Chung Hyun-Kyo Jung Chang-Hwan Im Google Jong-Ho Choi Young-Jin Jung June-Sic Kim Chun-Kee Chung Hyun-Kyo Jung Chang-Hwan Im Google Scholar Jong-Ho Choi Young-Jin Jung June-Sic Kim Chun-Kee Chung Hyun-Kyo Jung Chang-Hwan Im PubMed Jong-Ho Choi Young-Jin Jung June-Sic Kim Chun-Kee Chung Hyun-Kyo Jung Chang-Hwan Im 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.

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