The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes
Abstract Introduction This study was aimed to explore the relationship between neural network changes in newly diagnosed children with Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS) and cognitive impairment. Methods Children's cognition was evaluated using the Wechsler Intelligenc...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-12-01
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| Series: | Brain and Behavior |
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| Online Access: | https://doi.org/10.1002/brb3.1854 |
| _version_ | 1818645399836033024 |
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| author | Yihan Li Yulei Sun Tingting Zhang Qi Shi Jintao Sun Jing Xiang Qiqi Chen Zheng Hu Xiaoshan Wang |
| author_facet | Yihan Li Yulei Sun Tingting Zhang Qi Shi Jintao Sun Jing Xiang Qiqi Chen Zheng Hu Xiaoshan Wang |
| author_sort | Yihan Li |
| collection | DOAJ |
| description | Abstract Introduction This study was aimed to explore the relationship between neural network changes in newly diagnosed children with Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS) and cognitive impairment. Methods Children's cognition was evaluated using the Wechsler Intelligence Scale for Children‐Fourth Edition (WISC‐IV). Magnetoencephalographic (MEG) data of 18 healthy children and 22 BECTS patients were recorded in order to construct a functional connectivity (FC) network, which was quantified by graph theory (GT). Results The mean age of the control group was 7.94 ± 1.89 years, and the mean age of BECTS patients was 8.14 ± 1.73 years. Our results show that the WISC‐IV index scores in the BECTS group were significantly lower than those in the control group. Besides, the FC network pattern of BECTS patients changed significantly in the 12–30, 30–80, and 250–500 Hz frequency band. The local functional connections between posterior cingulate cortex (PCC) and frontal lobe varied significantly in 12–30, 80–250, and 250–500 Hz. Our GT analysis shows that the connection strength of BECTS patients increases significantly in the 12–30 Hz frequency band, the path length decreases significantly in the 12–30 Hz and 30–80 Hz frequency bands, with the clustering coefficient decreasing significantly in the 12–30 Hz, 30–80 Hz, and 250–500 Hz frequency bands. Correlation analysis showed that the full‐scale IQ (FSIQ) was positively correlated with the 12–30 Hz clustering coefficient, verbal comprehension index (VCI) was positively correlated with the 250–500 Hz clustering coefficient, perceptual reasoning index (PRI) was positively correlated with the 12–30 Hz clustering coefficient, and perceptual reasoning index (PSI) was negatively correlated with the 12–30 Hz path length. Conclusion There is a trend of cognitive impairment in patients with early BECTS. This trend of cognitive impairment in early BECTS children may be related to the changes in the FC network pattern. |
| first_indexed | 2024-12-17T00:30:08Z |
| format | Article |
| id | doaj.art-b17ea302845c499c81311b0b4a517cef |
| institution | Directory Open Access Journal |
| issn | 2162-3279 |
| language | English |
| last_indexed | 2024-12-17T00:30:08Z |
| publishDate | 2020-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Brain and Behavior |
| spelling | doaj.art-b17ea302845c499c81311b0b4a517cef2022-12-21T22:10:21ZengWileyBrain and Behavior2162-32792020-12-011012n/an/a10.1002/brb3.1854The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikesYihan Li0Yulei Sun1Tingting Zhang2Qi Shi3Jintao Sun4Jing Xiang5Qiqi Chen6Zheng Hu7Xiaoshan Wang8Department of Neurology Nanjing Brain HospitalNanjing Medical University Nanjing ChinaDepartment of Neurology Nanjing Brain HospitalNanjing Medical University Nanjing ChinaDepartment of Neurology Nanjing Brain HospitalNanjing Medical University Nanjing ChinaDepartment of Neurology Nanjing Brain HospitalNanjing Medical University Nanjing ChinaDepartment of Neurology Nanjing Brain HospitalNanjing Medical University Nanjing ChinaMEG Center Division of Neurology Cincinnati Children’s Hospital Medical Center Cincinnati OH USAMEG Center Nanjing Brain Hospital Nanjing ChinaDepartment of Neurology Nanjing Children’s Hospital Nanjing ChinaDepartment of Neurology Nanjing Brain HospitalNanjing Medical University Nanjing ChinaAbstract Introduction This study was aimed to explore the relationship between neural network changes in newly diagnosed children with Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS) and cognitive impairment. Methods Children's cognition was evaluated using the Wechsler Intelligence Scale for Children‐Fourth Edition (WISC‐IV). Magnetoencephalographic (MEG) data of 18 healthy children and 22 BECTS patients were recorded in order to construct a functional connectivity (FC) network, which was quantified by graph theory (GT). Results The mean age of the control group was 7.94 ± 1.89 years, and the mean age of BECTS patients was 8.14 ± 1.73 years. Our results show that the WISC‐IV index scores in the BECTS group were significantly lower than those in the control group. Besides, the FC network pattern of BECTS patients changed significantly in the 12–30, 30–80, and 250–500 Hz frequency band. The local functional connections between posterior cingulate cortex (PCC) and frontal lobe varied significantly in 12–30, 80–250, and 250–500 Hz. Our GT analysis shows that the connection strength of BECTS patients increases significantly in the 12–30 Hz frequency band, the path length decreases significantly in the 12–30 Hz and 30–80 Hz frequency bands, with the clustering coefficient decreasing significantly in the 12–30 Hz, 30–80 Hz, and 250–500 Hz frequency bands. Correlation analysis showed that the full‐scale IQ (FSIQ) was positively correlated with the 12–30 Hz clustering coefficient, verbal comprehension index (VCI) was positively correlated with the 250–500 Hz clustering coefficient, perceptual reasoning index (PRI) was positively correlated with the 12–30 Hz clustering coefficient, and perceptual reasoning index (PSI) was negatively correlated with the 12–30 Hz path length. Conclusion There is a trend of cognitive impairment in patients with early BECTS. This trend of cognitive impairment in early BECTS children may be related to the changes in the FC network pattern.https://doi.org/10.1002/brb3.1854benign childhood epilepsy with centrotemporal spikesfunctional connectivitygraph theorymagnetoencephalographymulti‐frequencyneural network |
| spellingShingle | Yihan Li Yulei Sun Tingting Zhang Qi Shi Jintao Sun Jing Xiang Qiqi Chen Zheng Hu Xiaoshan Wang The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes Brain and Behavior benign childhood epilepsy with centrotemporal spikes functional connectivity graph theory magnetoencephalography multi‐frequency neural network |
| title | The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes |
| title_full | The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes |
| title_fullStr | The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes |
| title_full_unstemmed | The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes |
| title_short | The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes |
| title_sort | relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes |
| topic | benign childhood epilepsy with centrotemporal spikes functional connectivity graph theory magnetoencephalography multi‐frequency neural network |
| url | https://doi.org/10.1002/brb3.1854 |
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