Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities
Abstract Previous research has indicated that temporal changes of centrality of specific nodes in human evolving large-scale epileptic brain networks carry information predictive of impending seizures. Centrality is a fundamental network-theoretical concept that allows one to assess the role a node...
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Nature Portfolio
2020
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oai:doaj.org-article:9486e3cd1642416b91ccc51ca4de26e22021-12-02T11:57:57ZReconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities10.1038/s41598-020-78899-72045-2322https://doaj.org/article/9486e3cd1642416b91ccc51ca4de26e22020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78899-7https://doaj.org/toc/2045-2322Abstract Previous research has indicated that temporal changes of centrality of specific nodes in human evolving large-scale epileptic brain networks carry information predictive of impending seizures. Centrality is a fundamental network-theoretical concept that allows one to assess the role a node plays in a network. This concept allows for various interpretations, which is reflected in a number of centrality indices. Here we aim to achieve a more general understanding of local and global network reconfigurations during the pre-seizure period as indicated by changes of different node centrality indices. To this end, we investigate—in a time-resolved manner—evolving large-scale epileptic brain networks that we derived from multi-day, multi-electrode intracranial electroencephalograpic recordings from a large but inhomogeneous group of subjects with pharmacoresistant epilepsies with different anatomical origins. We estimate multiple centrality indices to assess the various roles the nodes play while the networks transit from the seizure-free to the pre-seizure period. Our findings allow us to formulate several major scenarios for the reconfiguration of an evolving epileptic brain network prior to seizures, which indicate that there is likely not a single network mechanism underlying seizure generation. Rather, local and global aspects of the pre-seizure network reconfiguration affect virtually all network constituents, from the various brain regions to the functional connections between them.Rieke FruengelTimo BröhlThorsten RingsKlaus LehnertzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020) |
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Medicine R Science Q Rieke Fruengel Timo Bröhl Thorsten Rings Klaus Lehnertz Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities |
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Abstract Previous research has indicated that temporal changes of centrality of specific nodes in human evolving large-scale epileptic brain networks carry information predictive of impending seizures. Centrality is a fundamental network-theoretical concept that allows one to assess the role a node plays in a network. This concept allows for various interpretations, which is reflected in a number of centrality indices. Here we aim to achieve a more general understanding of local and global network reconfigurations during the pre-seizure period as indicated by changes of different node centrality indices. To this end, we investigate—in a time-resolved manner—evolving large-scale epileptic brain networks that we derived from multi-day, multi-electrode intracranial electroencephalograpic recordings from a large but inhomogeneous group of subjects with pharmacoresistant epilepsies with different anatomical origins. We estimate multiple centrality indices to assess the various roles the nodes play while the networks transit from the seizure-free to the pre-seizure period. Our findings allow us to formulate several major scenarios for the reconfiguration of an evolving epileptic brain network prior to seizures, which indicate that there is likely not a single network mechanism underlying seizure generation. Rather, local and global aspects of the pre-seizure network reconfiguration affect virtually all network constituents, from the various brain regions to the functional connections between them. |
format |
article |
author |
Rieke Fruengel Timo Bröhl Thorsten Rings Klaus Lehnertz |
author_facet |
Rieke Fruengel Timo Bröhl Thorsten Rings Klaus Lehnertz |
author_sort |
Rieke Fruengel |
title |
Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities |
title_short |
Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities |
title_full |
Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities |
title_fullStr |
Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities |
title_full_unstemmed |
Reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities |
title_sort |
reconfiguration of human evolving large-scale epileptic brain networks prior to seizures: an evaluation with node centralities |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/9486e3cd1642416b91ccc51ca4de26e2 |
work_keys_str_mv |
AT riekefruengel reconfigurationofhumanevolvinglargescaleepilepticbrainnetworkspriortoseizuresanevaluationwithnodecentralities AT timobrohl reconfigurationofhumanevolvinglargescaleepilepticbrainnetworkspriortoseizuresanevaluationwithnodecentralities AT thorstenrings reconfigurationofhumanevolvinglargescaleepilepticbrainnetworkspriortoseizuresanevaluationwithnodecentralities AT klauslehnertz reconfigurationofhumanevolvinglargescaleepilepticbrainnetworkspriortoseizuresanevaluationwithnodecentralities |
_version_ |
1718394763266228224 |