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 t...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-12-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004608&type=printable |
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| _version_ | 1849723654867255296 |
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| author | Ankit N Khambhati Kathryn A Davis Brian S Oommen Stephanie H Chen Timothy H Lucas Brian Litt Danielle S Bassett |
| author_facet | Ankit N Khambhati Kathryn A Davis Brian S Oommen Stephanie H Chen Timothy H Lucas Brian Litt Danielle S Bassett |
| author_sort | Ankit N Khambhati |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-8559fb38c9cd4ab9ba3e8ad489eade3f |
| institution | DOAJ |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2015-12-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-8559fb38c9cd4ab9ba3e8ad489eade3f2025-08-20T03:10:58ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582015-12-011112e100460810.1371/journal.pcbi.1004608Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy.Ankit N KhambhatiKathryn A DavisBrian S OommenStephanie H ChenTimothy H LucasBrian LittDanielle S BassettThe 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.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004608&type=printable |
| spellingShingle | Ankit N Khambhati Kathryn A Davis Brian S Oommen Stephanie H Chen Timothy H Lucas Brian Litt Danielle S Bassett Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy. PLoS Computational Biology |
| 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 |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004608&type=printable |
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