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Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG
Epileptic seizures are considered to be a brain network dysfunction, and chronic recurrent seizures can cause severe brain damage. However, the functional brain network underlying recurrent epileptic seizures is still left unveiled. This study is aimed at exploring the differences in a related brain...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710419/ https://www.ncbi.nlm.nih.gov/pubmed/33299398 http://dx.doi.org/10.1155/2020/8851415 |
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author | Liang, Yi Chen, Chunli Li, Fali Yao, Dezhong Xu, Peng Yu, Liang |
author_facet | Liang, Yi Chen, Chunli Li, Fali Yao, Dezhong Xu, Peng Yu, Liang |
author_sort | Liang, Yi |
collection | PubMed |
description | Epileptic seizures are considered to be a brain network dysfunction, and chronic recurrent seizures can cause severe brain damage. However, the functional brain network underlying recurrent epileptic seizures is still left unveiled. This study is aimed at exploring the differences in a related brain activity before and after chronic repetitive seizures by investigating the power spectral density (PSD), fuzzy entropy, and functional connectivity in epileptic patients. The PSD analysis revealed differences between the two states at local area, showing postseizure energy accumulation. Besides, the fuzzy entropies of preseizure in the frontal, central, and temporal regions are higher than that of postseizure. Additionally, attenuated long-range connectivity and enhanced local connectivity were also found. Moreover, significant correlations were found between network metrics (i.e., characteristic path length and clustering coefficient) and individual seizure number. The PSD, fuzzy entropy, and network analysis may indicate that the brain is gradually impaired along with the occurrence of epilepsy, and the accumulated effect of brain impairment is observed in individuals with consecutive epileptic bursts. The findings of this study may provide helpful insights into understanding the network mechanism underlying chronic recurrent epilepsy. |
format | Online Article Text |
id | pubmed-7710419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-77104192020-12-08 Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG Liang, Yi Chen, Chunli Li, Fali Yao, Dezhong Xu, Peng Yu, Liang Neural Plast Research Article Epileptic seizures are considered to be a brain network dysfunction, and chronic recurrent seizures can cause severe brain damage. However, the functional brain network underlying recurrent epileptic seizures is still left unveiled. This study is aimed at exploring the differences in a related brain activity before and after chronic repetitive seizures by investigating the power spectral density (PSD), fuzzy entropy, and functional connectivity in epileptic patients. The PSD analysis revealed differences between the two states at local area, showing postseizure energy accumulation. Besides, the fuzzy entropies of preseizure in the frontal, central, and temporal regions are higher than that of postseizure. Additionally, attenuated long-range connectivity and enhanced local connectivity were also found. Moreover, significant correlations were found between network metrics (i.e., characteristic path length and clustering coefficient) and individual seizure number. The PSD, fuzzy entropy, and network analysis may indicate that the brain is gradually impaired along with the occurrence of epilepsy, and the accumulated effect of brain impairment is observed in individuals with consecutive epileptic bursts. The findings of this study may provide helpful insights into understanding the network mechanism underlying chronic recurrent epilepsy. Hindawi 2020-11-24 /pmc/articles/PMC7710419/ /pubmed/33299398 http://dx.doi.org/10.1155/2020/8851415 Text en Copyright © 2020 Yi Liang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liang, Yi Chen, Chunli Li, Fali Yao, Dezhong Xu, Peng Yu, Liang Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG |
title | Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG |
title_full | Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG |
title_fullStr | Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG |
title_full_unstemmed | Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG |
title_short | Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG |
title_sort | altered functional connectivity after epileptic seizure revealed by scalp eeg |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710419/ https://www.ncbi.nlm.nih.gov/pubmed/33299398 http://dx.doi.org/10.1155/2020/8851415 |
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