A new multimodal cortical source imaging algorithm for integrating simultaneously recorded EEG and MEG
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Jong-Ho | - |
dc.contributor.author | Jung, Young-Jin | - |
dc.contributor.author | Jung, Hyun-Kyo | - |
dc.contributor.author | Im, Chang-Hwan | - |
dc.date.accessioned | 2021-08-02T18:54:45Z | - |
dc.date.available | 2021-08-02T18:54:45Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2013-09 | - |
dc.identifier.issn | 1741-5977 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/26652 | - |
dc.description.abstract | In this study, we propose a new cortical source imaging algorithm for integrating simultaneously recorded electroencephalography (EEG) and magnetoencephalography (MEG), which takes into account the different sensitivity characteristics of the two modalities with respect to cortical source orientations. It is generally accepted that MEG can record neuronal electrical activities with higher spatial resolution than EEG because magnetic field is less affected by the inhomogeneous conductivity profile of the human head than electric field. Nevertheless, it is also well known that MEG cannot reliably detect neuronal sources with radial orientation, whereas EEG is relatively less dependent on the source orientations than MEG. However, this intrinsic difference has not previously been taken into account in the integrative cortical source imaging using simultaneously recorded EEG and MEG data. To consider the different directional sensitivities of the two modalities, we conceptually decomposed the sensor and source spaces into radial and tangential components and developed an explicit formulation described as a general type of weighted minimum norm estimation. Using extensive computer simulations, we demonstrated that our proposed algorithm substantially enhances localization accuracy over almost the entire cortical surface compared to that of the conventional integration algorithm and results in a significant improvement especially when either a radial or tangential source component is dominant. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.title | A new multimodal cortical source imaging algorithm for integrating simultaneously recorded EEG and MEG | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Im, Chang-Hwan | - |
dc.identifier.doi | 10.1080/17415977.2012.731596 | - |
dc.identifier.scopusid | 2-s2.0-84884339455 | - |
dc.identifier.wosid | 000324365700011 | - |
dc.identifier.bibliographicCitation | INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, v.21, no.6, pp.1074 - 1089 | - |
dc.relation.isPartOf | INVERSE PROBLEMS IN SCIENCE AND ENGINEERING | - |
dc.citation.title | INVERSE PROBLEMS IN SCIENCE AND ENGINEERING | - |
dc.citation.volume | 21 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1074 | - |
dc.citation.endPage | 1089 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Interdisciplinary Applications | - |
dc.subject.keywordPlus | LOCALIZATION ACCURACY | - |
dc.subject.keywordPlus | INVERSE SOLUTIONS | - |
dc.subject.keywordPlus | HUMAN SKULL | - |
dc.subject.keywordPlus | IN-VIVO | - |
dc.subject.keywordPlus | EPILEPSY | - |
dc.subject.keywordPlus | FMRI | - |
dc.subject.keywordPlus | ELECTROENCEPHALOGRAPHY | - |
dc.subject.keywordPlus | MAGNETOENCEPHALOGRAPHY | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | RESISTIVITIES | - |
dc.subject.keywordAuthor | cortical source imaging | - |
dc.subject.keywordAuthor | inverse problem | - |
dc.subject.keywordAuthor | multimodal neuroimaging | - |
dc.subject.keywordAuthor | electroencephalography | - |
dc.subject.keywordAuthor | magnetoencephalography | - |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/17415977.2012.731596 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.