2017 Fiscal Year Final Research Report
Multil-modal analysis of pathological network in epilepsy: challenge targeted for MRI negative epilepsy
| Project/Area Number |
15K10361
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Neurosurgery
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| Research Institution | Ehime University (2016-2017)
Kyoto University (2015) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
松本 理器 京都大学, 医学研究科, 准教授 (00378754)
澤本 伸克 京都大学, 医学研究科, 教授 (90397547)
菊池 隆幸 京都大学, 医学研究科, 助教 (40625084)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | 難治性てんかん / ネットワーク / てんかん外科 / 脳磁図 / 空間フィルター法 / SEEG / MEG / てんかん原生領域 |
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| Outline of Final Research Achievements |
Electrocorticography (ECoG) recorded with chronically implanted intracranial can visualize brain activity directly, leading to the identification of epileptogenic areas. Recently, it has been suggested that clinical condition of epilepsy forms pathologically complicated neural network. In this study, we successfully visualized the spatial and temporal organization of epileptogenecity by means of the spatial filter analysis of magnetoencephalogram (MEG), instead of the conventional analysis of equivalent electric current dipole (ECD) model. In addition to this, stereotactic EEG (SEEG) methods was installed as approved clinical research for the intractable epilepsy cases. In comparison with other non-invasive imaging modality, the clinical significance of this new spatial filter analysis in MEG was validated. Eventually, these results contributed to clarify the complicated pathological condition of intractable epilepsy.
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| Free Research Field |
機能脳神経外科
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