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Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy
The epileptic network is characterized by pathologic, seizure-generating ‘foci’ embedded in a web of structural and functional connections. Clinically, seizure foci are considered optimal targets for surgery. However, poor surgical outcome suggests a complex relationship between foci and the surroun...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682976/ https://www.ncbi.nlm.nih.gov/pubmed/26680762 http://dx.doi.org/10.1371/journal.pcbi.1004608 |
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author | Khambhati, Ankit N. Davis, Kathryn A. Oommen, Brian S. Chen, Stephanie H. Lucas, Timothy H. Litt, Brian Bassett, Danielle S. |
author_facet | Khambhati, Ankit N. Davis, Kathryn A. Oommen, Brian S. Chen, Stephanie H. Lucas, Timothy H. Litt, Brian Bassett, Danielle S. |
author_sort | Khambhati, Ankit N. |
collection | PubMed |
description | The epileptic network is characterized by pathologic, seizure-generating ‘foci’ embedded in a web of structural and functional connections. Clinically, seizure foci are considered optimal targets for surgery. However, poor surgical outcome suggests a complex relationship between foci and the surrounding network that drives seizure dynamics. We developed a novel technique to objectively track seizure states from dynamic functional networks constructed from intracranial recordings. Each dynamical state captures unique patterns of network connections that indicate synchronized and desynchronized hubs of neural populations. Our approach suggests that seizures are generated when synchronous relationships near foci work in tandem with rapidly changing desynchronous relationships from the surrounding epileptic network. As seizures progress, topographical and geometrical changes in network connectivity strengthen and tighten synchronous connectivity near foci—a mechanism that may aid seizure termination. Collectively, our observations implicate distributed cortical structures in seizure generation, propagation and termination, and may have practical significance in determining which circuits to modulate with implantable devices. |
format | Online Article Text |
id | pubmed-4682976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46829762015-12-31 Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy Khambhati, Ankit N. Davis, Kathryn A. Oommen, Brian S. Chen, Stephanie H. Lucas, Timothy H. Litt, Brian Bassett, Danielle S. PLoS Comput Biol Research Article The epileptic network is characterized by pathologic, seizure-generating ‘foci’ embedded in a web of structural and functional connections. Clinically, seizure foci are considered optimal targets for surgery. However, poor surgical outcome suggests a complex relationship between foci and the surrounding network that drives seizure dynamics. We developed a novel technique to objectively track seizure states from dynamic functional networks constructed from intracranial recordings. Each dynamical state captures unique patterns of network connections that indicate synchronized and desynchronized hubs of neural populations. Our approach suggests that seizures are generated when synchronous relationships near foci work in tandem with rapidly changing desynchronous relationships from the surrounding epileptic network. As seizures progress, topographical and geometrical changes in network connectivity strengthen and tighten synchronous connectivity near foci—a mechanism that may aid seizure termination. Collectively, our observations implicate distributed cortical structures in seizure generation, propagation and termination, and may have practical significance in determining which circuits to modulate with implantable devices. Public Library of Science 2015-12-17 /pmc/articles/PMC4682976/ /pubmed/26680762 http://dx.doi.org/10.1371/journal.pcbi.1004608 Text en © 2015 Khambhati et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Khambhati, Ankit N. Davis, Kathryn A. Oommen, Brian S. Chen, Stephanie H. Lucas, Timothy H. Litt, Brian Bassett, Danielle S. Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy |
title | Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy |
title_full | Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy |
title_fullStr | Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy |
title_full_unstemmed | Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy |
title_short | Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy |
title_sort | dynamic network drivers of seizure generation, propagation and termination in human neocortical epilepsy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682976/ https://www.ncbi.nlm.nih.gov/pubmed/26680762 http://dx.doi.org/10.1371/journal.pcbi.1004608 |
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