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Methods for Examining Electrophysiological Coherence in Epileptic Networks
Epilepsy may reflect a focal abnormality of cerebral tissue, but the generation of seizures typically involves propagation of abnormal activity through cerebral networks. We examined epileptiform discharges (spikes) with dense array electroencephalography (dEEG) in five patients to search for the po...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654376/ https://www.ncbi.nlm.nih.gov/pubmed/23720650 http://dx.doi.org/10.3389/fneur.2013.00055 |
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author | Song, Jasmine Tucker, Don M. Gilbert, Tara Hou, Jidong Mattson, Chelsea Luu, Phan Holmes, Mark D. |
author_facet | Song, Jasmine Tucker, Don M. Gilbert, Tara Hou, Jidong Mattson, Chelsea Luu, Phan Holmes, Mark D. |
author_sort | Song, Jasmine |
collection | PubMed |
description | Epilepsy may reflect a focal abnormality of cerebral tissue, but the generation of seizures typically involves propagation of abnormal activity through cerebral networks. We examined epileptiform discharges (spikes) with dense array electroencephalography (dEEG) in five patients to search for the possible engagement of pathological networks. Source analysis was conducted with individual electrical head models for each patient, including sensor position measurement for registration with MRI with geodesic photogrammetry; tissue segmentation and skull conductivity modeling with an atlas skull warped to each patient’s MRI; cortical surface extraction and tessellation into 1 cm(2) equivalent dipole patches; inverse source estimation with either minimum norm or cortical surface Laplacian constraints; and spectral coherence computed among equivalent dipoles aggregated within Brodmann areas with 1 Hz resolution from 1 to 70 Hz. These analyses revealed characteristic source coherence patterns in each patient during the pre-spike, spike, and post-spike intervals. For one patient with both spikes and seizure onset localized to a single temporal lobe, we observed a cluster of apparently abnormal coherences over the involved temporal lobe. For the other patients, there were apparently characteristic coherence patterns associated with the discharges, and in some cases these appeared to reflect abnormal temporal lobe synchronization, but the coherence patterns for these patients were not easily related to an unequivocal epileptogenic zone. In contrast, simple localization of the site of onset of the spike discharge, and/or the site of onset of the seizure, with non-invasive 256 dEEG was useful in predicting the characteristic site of seizure onset for those cases that were verified by intracranial EEG and/or by surgical outcome. |
format | Online Article Text |
id | pubmed-3654376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-36543762013-05-29 Methods for Examining Electrophysiological Coherence in Epileptic Networks Song, Jasmine Tucker, Don M. Gilbert, Tara Hou, Jidong Mattson, Chelsea Luu, Phan Holmes, Mark D. Front Neurol Neuroscience Epilepsy may reflect a focal abnormality of cerebral tissue, but the generation of seizures typically involves propagation of abnormal activity through cerebral networks. We examined epileptiform discharges (spikes) with dense array electroencephalography (dEEG) in five patients to search for the possible engagement of pathological networks. Source analysis was conducted with individual electrical head models for each patient, including sensor position measurement for registration with MRI with geodesic photogrammetry; tissue segmentation and skull conductivity modeling with an atlas skull warped to each patient’s MRI; cortical surface extraction and tessellation into 1 cm(2) equivalent dipole patches; inverse source estimation with either minimum norm or cortical surface Laplacian constraints; and spectral coherence computed among equivalent dipoles aggregated within Brodmann areas with 1 Hz resolution from 1 to 70 Hz. These analyses revealed characteristic source coherence patterns in each patient during the pre-spike, spike, and post-spike intervals. For one patient with both spikes and seizure onset localized to a single temporal lobe, we observed a cluster of apparently abnormal coherences over the involved temporal lobe. For the other patients, there were apparently characteristic coherence patterns associated with the discharges, and in some cases these appeared to reflect abnormal temporal lobe synchronization, but the coherence patterns for these patients were not easily related to an unequivocal epileptogenic zone. In contrast, simple localization of the site of onset of the spike discharge, and/or the site of onset of the seizure, with non-invasive 256 dEEG was useful in predicting the characteristic site of seizure onset for those cases that were verified by intracranial EEG and/or by surgical outcome. Frontiers Media S.A. 2013-05-15 /pmc/articles/PMC3654376/ /pubmed/23720650 http://dx.doi.org/10.3389/fneur.2013.00055 Text en Copyright © 2013 Song, Tucker, Gilbert, Hou, Mattson, Luu and Holmes. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience Song, Jasmine Tucker, Don M. Gilbert, Tara Hou, Jidong Mattson, Chelsea Luu, Phan Holmes, Mark D. Methods for Examining Electrophysiological Coherence in Epileptic Networks |
title | Methods for Examining Electrophysiological Coherence in Epileptic Networks |
title_full | Methods for Examining Electrophysiological Coherence in Epileptic Networks |
title_fullStr | Methods for Examining Electrophysiological Coherence in Epileptic Networks |
title_full_unstemmed | Methods for Examining Electrophysiological Coherence in Epileptic Networks |
title_short | Methods for Examining Electrophysiological Coherence in Epileptic Networks |
title_sort | methods for examining electrophysiological coherence in epileptic networks |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3654376/ https://www.ncbi.nlm.nih.gov/pubmed/23720650 http://dx.doi.org/10.3389/fneur.2013.00055 |
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