Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy
Magnetoencephalography (MEG), which acquires neuromagnetic fields in the brain, is a useful diagnostic tool in presurgical evaluation of epilepsy. Previous studies have shown that MEG affects the planning intracranial EEG placement and correlates with surgical outcomes by using a single dipole mo...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2014-02-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00062/full |
| _version_ | 1818486430190534656 |
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| author | Naoaki eTanaka Steven Marshall Stufflebeam |
| author_facet | Naoaki eTanaka Steven Marshall Stufflebeam |
| author_sort | Naoaki eTanaka |
| collection | DOAJ |
| description | Magnetoencephalography (MEG), which acquires neuromagnetic fields in the brain, is a useful diagnostic tool in presurgical evaluation of epilepsy. Previous studies have shown that MEG affects the planning intracranial EEG placement and correlates with surgical outcomes by using a single dipole model. Spatiotemporal source analysis using distributed source models is an advanced method for analyzing MEG, and has been recently introduced for analyzing epileptic spikes. It has advantages over the conventional single dipole analysis for obtaining accurate sources and understanding the propagation of epileptic spikes. In this article, we review the source analysis methods, describe the techniques of the distributed source analysis, interpretation of source distribution maps, and discuss the benefits and feasibility of this method in evaluation of epilepsy. |
| first_indexed | 2024-12-10T16:22:54Z |
| format | Article |
| id | doaj.art-98a9e76451874d5cbd5b7aa9c9ac1b8a |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-10T16:22:54Z |
| publishDate | 2014-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-98a9e76451874d5cbd5b7aa9c9ac1b8a2022-12-22T01:41:45ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612014-02-01810.3389/fnhum.2014.0006276972Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsyNaoaki eTanaka0Steven Marshall Stufflebeam1Massachusettes General HospitalMassachusettes General HospitalMagnetoencephalography (MEG), which acquires neuromagnetic fields in the brain, is a useful diagnostic tool in presurgical evaluation of epilepsy. Previous studies have shown that MEG affects the planning intracranial EEG placement and correlates with surgical outcomes by using a single dipole model. Spatiotemporal source analysis using distributed source models is an advanced method for analyzing MEG, and has been recently introduced for analyzing epileptic spikes. It has advantages over the conventional single dipole analysis for obtaining accurate sources and understanding the propagation of epileptic spikes. In this article, we review the source analysis methods, describe the techniques of the distributed source analysis, interpretation of source distribution maps, and discuss the benefits and feasibility of this method in evaluation of epilepsy.http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00062/fullEpilepsyepilepsy surgeryMagnetoencephalography (MEG)spike propagationdistributed source analysisminimum norm estimate (MNE) |
| spellingShingle | Naoaki eTanaka Steven Marshall Stufflebeam Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy Frontiers in Human Neuroscience Epilepsy epilepsy surgery Magnetoencephalography (MEG) spike propagation distributed source analysis minimum norm estimate (MNE) |
| title | Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy |
| title_full | Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy |
| title_fullStr | Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy |
| title_full_unstemmed | Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy |
| title_short | Clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy |
| title_sort | clinical application of spatiotemporal distributed source analysis in presurgical evaluation of epilepsy |
| topic | Epilepsy epilepsy surgery Magnetoencephalography (MEG) spike propagation distributed source analysis minimum norm estimate (MNE) |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00062/full |
| work_keys_str_mv | AT naoakietanaka clinicalapplicationofspatiotemporaldistributedsourceanalysisinpresurgicalevaluationofepilepsy AT stevenmarshallstufflebeam clinicalapplicationofspatiotemporaldistributedsourceanalysisinpresurgicalevaluationofepilepsy |