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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Neural Plasticity |
| Online Access: | http://dx.doi.org/10.1155/2020/8851415 |
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| author | Yi Liang Chunli Chen Fali Li Dezhong Yao Peng Xu Liang Yu |
| author_facet | Yi Liang Chunli Chen Fali Li Dezhong Yao Peng Xu Liang Yu |
| author_sort | Yi Liang |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-68e79bfd62d947ac93c2eeb0f1b8c878 |
| institution | Kabale University |
| issn | 2090-5904 1687-5443 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Neural Plasticity |
| spelling | doaj-art-68e79bfd62d947ac93c2eeb0f1b8c8782025-02-03T06:00:48ZengWileyNeural Plasticity2090-59041687-54432020-01-01202010.1155/2020/88514158851415Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEGYi Liang0Chunli Chen1Fali Li2Dezhong Yao3Peng Xu4Liang Yu5Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu 610072, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, ChinaDepartment of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu 610072, ChinaEpileptic 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.http://dx.doi.org/10.1155/2020/8851415 |
| spellingShingle | Yi Liang Chunli Chen Fali Li Dezhong Yao Peng Xu Liang Yu Altered Functional Connectivity after Epileptic Seizure Revealed by Scalp EEG Neural Plasticity |
| 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 |
| url | http://dx.doi.org/10.1155/2020/8851415 |
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