Abnormal static and dynamic functional network connectivity of the whole-brain in children with generalized tonic-clonic seizures
Generalized tonic-clonic seizures (GTCS) are a subtype of generalized seizures exhibiting bursts of bilaterally synchronous generalized spike-wave discharges. Numerous neuroimaging studies have reported aberrant functional activity and topological organization of brain network in epilepsy patients w...
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| Published in: | Frontiers in neuroscience Vol. 17; p. 1236696 |
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| Abstract | Generalized tonic-clonic seizures (GTCS) are a subtype of generalized seizures exhibiting bursts of bilaterally synchronous generalized spike-wave discharges. Numerous neuroimaging studies have reported aberrant functional activity and topological organization of brain network in epilepsy patients with GTCS, but most studies have focused on adults. However, the effect of GTCS on the spatial and temporal properties of brain function in children remains unclear. The present study aimed to explore whole-brain static (sFC) and dynamic functional connectivity (dFC) in children with GTCS. Twenty-three children with GTCS and 32 matched healthy controls (HCs) were recruited for the present study. Resting-state functional magnetic resonance imaging (MRI) data were collected for each subject. The group independent component analysis method was used to obtain independent components (ICs). Then, sFC and dFC methods were applied and the differences in functional connectivity (FC) were compared between the children with GTCS and the HCs. Additionally, we investigated the correlations between the dFC indicators and epilepsy duration. Compared to HCs, GTCS patients exhibited a significant decrease in sFC strengths among most networks. The K-means clustering method was implemented for dFC analysis, and the optimal number of clusters was estimated: two discrete connectivity configurations, State 1 (strong connection) and State 2 (weak connection). The decreased dFC mainly occurred in State 1, especially the dFC between the visual network (VIS) and somatomotor network (SMN); but the increased dFC mainly occurred in State 2 among most networks in GTCS children. In addition, GTCS children showed significantly shorter mean dwell time and lower fractional windows in stronger connected State 1, while GTCS children showed significantly longer mean dwell time in weaker connected State 2. In addition, the dFC properties, including mean dwell time and fractional windows, were significantly correlated with epilepsy duration. Conclusion: Our results indicated that GTCS epilepsy not only alters the connectivity strength but also changes the temporal properties of connectivity in networks in the whole brain. These findings also emphasized the differences in sFC and dFC in children with GTCS. Combining sFC and dFC methods may provide more comprehensive understanding of the abnormal changes in brain architecture in children with GTCS. |
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| AbstractList | IntroductionGeneralized tonic-clonic seizures (GTCS) are a subtype of generalized seizures exhibiting bursts of bilaterally synchronous generalized spike-wave discharges. Numerous neuroimaging studies have reported aberrant functional activity and topological organization of brain network in epilepsy patients with GTCS, but most studies have focused on adults. However, the effect of GTCS on the spatial and temporal properties of brain function in children remains unclear. The present study aimed to explore whole-brain static (sFC) and dynamic functional connectivity (dFC) in children with GTCS.MethodsTwenty-three children with GTCS and 32 matched healthy controls (HCs) were recruited for the present study. Resting-state functional magnetic resonance imaging (MRI) data were collected for each subject. The group independent component analysis method was used to obtain independent components (ICs). Then, sFC and dFC methods were applied and the differences in functional connectivity (FC) were compared between the children with GTCS and the HCs. Additionally, we investigated the correlations between the dFC indicators and epilepsy duration.ResultsCompared to HCs, GTCS patients exhibited a significant decrease in sFC strengths among most networks. The K-means clustering method was implemented for dFC analysis, and the optimal number of clusters was estimated: two discrete connectivity configurations, State 1 (strong connection) and State 2 (weak connection). The decreased dFC mainly occurred in State 1, especially the dFC between the visual network (VIS) and somatomotor network (SMN); but the increased dFC mainly occurred in State 2 among most networks in GTCS children. In addition, GTCS children showed significantly shorter mean dwell time and lower fractional windows in stronger connected State 1, while GTCS children showed significantly longer mean dwell time in weaker connected State 2. In addition, the dFC properties, including mean dwell time and fractional windows, were significantly correlated with epilepsy duration.ConclusionOur results indicated that GTCS epilepsy not only alters the connectivity strength but also changes the temporal properties of connectivity in networks in the whole brain. These findings also emphasized the differences in sFC and dFC in children with GTCS. Combining sFC and dFC methods may provide more comprehensive understanding of the abnormal changes in brain architecture in children with GTCS. Generalized tonic-clonic seizures (GTCS) are a subtype of generalized seizures exhibiting bursts of bilaterally synchronous generalized spike-wave discharges. Numerous neuroimaging studies have reported aberrant functional activity and topological organization of brain network in epilepsy patients with GTCS, but most studies have focused on adults. However, the effect of GTCS on the spatial and temporal properties of brain function in children remains unclear. The present study aimed to explore whole-brain static (sFC) and dynamic functional connectivity (dFC) in children with GTCS. Twenty-three children with GTCS and 32 matched healthy controls (HCs) were recruited for the present study. Resting-state functional magnetic resonance imaging (MRI) data were collected for each subject. The group independent component analysis method was used to obtain independent components (ICs). Then, sFC and dFC methods were applied and the differences in functional connectivity (FC) were compared between the children with GTCS and the HCs. Additionally, we investigated the correlations between the dFC indicators and epilepsy duration. Compared to HCs, GTCS patients exhibited a significant decrease in sFC strengths among most networks. The K-means clustering method was implemented for dFC analysis, and the optimal number of clusters was estimated: two discrete connectivity configurations, State 1 (strong connection) and State 2 (weak connection). The decreased dFC mainly occurred in State 1, especially the dFC between the visual network (VIS) and somatomotor network (SMN); but the increased dFC mainly occurred in State 2 among most networks in GTCS children. In addition, GTCS children showed significantly shorter mean dwell time and lower fractional windows in stronger connected State 1, while GTCS children showed significantly longer mean dwell time in weaker connected State 2. In addition, the dFC properties, including mean dwell time and fractional windows, were significantly correlated with epilepsy duration. Conclusion: Our results indicated that GTCS epilepsy not only alters the connectivity strength but also changes the temporal properties of connectivity in networks in the whole brain. These findings also emphasized the differences in sFC and dFC in children with GTCS. Combining sFC and dFC methods may provide more comprehensive understanding of the abnormal changes in brain architecture in children with GTCS. Generalized tonic-clonic seizures (GTCS) are a subtype of generalized seizures exhibiting bursts of bilaterally synchronous generalized spike-wave discharges. Numerous neuroimaging studies have reported aberrant functional activity and topological organization of brain network in epilepsy patients with GTCS, but most studies have focused on adults. However, the effect of GTCS on the spatial and temporal properties of brain function in children remains unclear. The present study aimed to explore whole-brain static (sFC) and dynamic functional connectivity (dFC) in children with GTCS.IntroductionGeneralized tonic-clonic seizures (GTCS) are a subtype of generalized seizures exhibiting bursts of bilaterally synchronous generalized spike-wave discharges. Numerous neuroimaging studies have reported aberrant functional activity and topological organization of brain network in epilepsy patients with GTCS, but most studies have focused on adults. However, the effect of GTCS on the spatial and temporal properties of brain function in children remains unclear. The present study aimed to explore whole-brain static (sFC) and dynamic functional connectivity (dFC) in children with GTCS.Twenty-three children with GTCS and 32 matched healthy controls (HCs) were recruited for the present study. Resting-state functional magnetic resonance imaging (MRI) data were collected for each subject. The group independent component analysis method was used to obtain independent components (ICs). Then, sFC and dFC methods were applied and the differences in functional connectivity (FC) were compared between the children with GTCS and the HCs. Additionally, we investigated the correlations between the dFC indicators and epilepsy duration.MethodsTwenty-three children with GTCS and 32 matched healthy controls (HCs) were recruited for the present study. Resting-state functional magnetic resonance imaging (MRI) data were collected for each subject. The group independent component analysis method was used to obtain independent components (ICs). Then, sFC and dFC methods were applied and the differences in functional connectivity (FC) were compared between the children with GTCS and the HCs. Additionally, we investigated the correlations between the dFC indicators and epilepsy duration.Compared to HCs, GTCS patients exhibited a significant decrease in sFC strengths among most networks. The K-means clustering method was implemented for dFC analysis, and the optimal number of clusters was estimated: two discrete connectivity configurations, State 1 (strong connection) and State 2 (weak connection). The decreased dFC mainly occurred in State 1, especially the dFC between the visual network (VIS) and somatomotor network (SMN); but the increased dFC mainly occurred in State 2 among most networks in GTCS children. In addition, GTCS children showed significantly shorter mean dwell time and lower fractional windows in stronger connected State 1, while GTCS children showed significantly longer mean dwell time in weaker connected State 2. In addition, the dFC properties, including mean dwell time and fractional windows, were significantly correlated with epilepsy duration.ResultsCompared to HCs, GTCS patients exhibited a significant decrease in sFC strengths among most networks. The K-means clustering method was implemented for dFC analysis, and the optimal number of clusters was estimated: two discrete connectivity configurations, State 1 (strong connection) and State 2 (weak connection). The decreased dFC mainly occurred in State 1, especially the dFC between the visual network (VIS) and somatomotor network (SMN); but the increased dFC mainly occurred in State 2 among most networks in GTCS children. In addition, GTCS children showed significantly shorter mean dwell time and lower fractional windows in stronger connected State 1, while GTCS children showed significantly longer mean dwell time in weaker connected State 2. In addition, the dFC properties, including mean dwell time and fractional windows, were significantly correlated with epilepsy duration.Our results indicated that GTCS epilepsy not only alters the connectivity strength but also changes the temporal properties of connectivity in networks in the whole brain. These findings also emphasized the differences in sFC and dFC in children with GTCS. Combining sFC and dFC methods may provide more comprehensive understanding of the abnormal changes in brain architecture in children with GTCS.ConclusionOur results indicated that GTCS epilepsy not only alters the connectivity strength but also changes the temporal properties of connectivity in networks in the whole brain. These findings also emphasized the differences in sFC and dFC in children with GTCS. Combining sFC and dFC methods may provide more comprehensive understanding of the abnormal changes in brain architecture in children with GTCS. |
| Author | Li, Yongxin Ran, Yun Chen, Qian |
| AuthorAffiliation | 1 Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University , Guangzhou , China 2 Department of Pediatric Neurosurgery, Shenzhen Children’s Hospital , Shenzhen , China |
| AuthorAffiliation_xml | – name: 1 Formula-Pattern Research Center, School of Traditional Chinese Medicine, Jinan University , Guangzhou , China – name: 2 Department of Pediatric Neurosurgery, Shenzhen Children’s Hospital , Shenzhen , China |
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| CitedBy_id | crossref_primary_10_1089_neu_2024_0318 crossref_primary_10_1016_j_ijchp_2025_100560 crossref_primary_10_7759_cureus_46216 crossref_primary_10_3389_fnhum_2023_1295326 |
| Cites_doi | 10.1002/hbm.25404 10.1111/epi.16864 10.1002/brb3.1890 10.1016/j.eplepsyres.2022.106969 10.1016/j.yebeh.2018.06.045 10.1212/01.wnl.0000230171.23913.cf 10.1073/pnas.98.2.676 10.1089/brain.2012.0132 10.1007/s00415-013-6891-5 10.3389/fnins.2022.833837 10.1016/j.neuroimage.2009.12.011 10.3389/fninf.2012.00010 10.3389/fneur.2020.00253 10.1016/j.yebeh.2015.03.031 10.1097/WCO.0000000000000178 10.1038/s41583-019-0212-7 10.1371/journal.pone.0017294 10.1073/pnas.0905267106 10.1111/epi.13670 10.1073/pnas.0504136102 10.1523/JNEUROSCI.0759-12.2012 10.1111/epi.16759 10.1002/hbm.23323 10.3390/jcm11061612 10.1016/j.eplepsyres.2014.03.003 10.1016/j.brainres.2010.12.034 10.1002/hbm.24787 10.1016/j.eplepsyres.2014.11.014 10.1111/epi.13671 10.31887/DCNS.2018.20.2/smarek 10.1093/brain/awr223 10.1016/j.jocn.2021.03.022 10.1016/j.neuroimage.2022.119391 10.1111/epi.16615 10.1089/brain.2014.0253 10.1093/cercor/bhs352 10.1002/epi4.12252 10.1016/j.eplepsyres.2014.06.010 10.1371/journal.pone.0039701 10.1007/978-3-642-37580-4_6 10.1002/hbm.1048 10.1097/WCO.0b013e32835ee5b8 10.3233/JIN-170026 10.1016/j.neurad.2010.12.007 10.3389/fneur.2018.01038 10.1007/s12021-016-9299-4 10.1007/s11434-016-1201-0 10.1111/epi.16695 10.1016/j.eplepsyres.2011.07.007 10.3389/fnins.2022.953356 10.1148/radiol.13131638 10.1111/epi.12580 10.1002/hbm.23430 10.1111/epi.17171 10.1097/WNR.0000000000001262 10.1016/B978-0-444-52891-9.00073-7 10.1016/j.eplepsyres.2019.106254 |
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| References | Wang (B48) 2014; 108 Zhong (B58) 2011; 97 Segall (B42) 2012; 6 Wang (B49) 2011; 1374 Tracy (B46) 2015; 28 Allen (B2) 2020; 61 Fisher (B10); 58 Ke (B20) 2017; 16 Cordes (B8) 2001; 22 Calhoun (B5) 2001; 14 Ijff (B16) 2013; 111 Wu (B53) 2021; 88 Jia (B18) 2020; 41 Engel (B9) 2013; 26 Basile (B3) 2022; 258 Kim (B21) 2014; 55 Fox (B12) 2005; 102 Paige (B37) 2013 Wei (B52) 2015; 46 Li (B27); 10 Li (B25) 2016; 37 Liao (B32) 2016; 61 Wang (B47) 2018; 9 Parsons (B38) 2020; 159 Yan (B54) 2016; 14 Fisher (B11); 58 Wang (B51) 2012; 7 Allen (B1) 2014; 24 Kim (B22) 2013; 260 Girardi-Schappo (B13) 2021; 62 Wang (B50) 2019; 30 Song (B45) 2011; 6 Jiang (B19) 2018; 88 Royer (B41) 2022; 63 Ciumas (B7) 2006; 67 Marek (B36) 2018; 20 Rolls (B40) 2021; 42 Liao (B33) 2014; 4 Buckner (B4) 2019; 20 Hsieh (B14) 2022; 11 Kowalczyk (B24) 2020; 61 Smith (B44) 2009; 106 Li (B31); 11 Raichle (B39) 2001; 98 Li (B30); 16 Yang (B56) 2014; 108 Liao (B34) 2013; 3 Ji (B17) 2014; 271 Yang (B55) 2021; 62 Klamer (B23) 2018; 3 Li (B28); 16 Li (B26) 2017; 4 Zhang (B57) 2011; 134 Li (B29); 184 Sepulcre (B43) 2012; 32 Chang (B6) 2010; 50 Liu (B35) 2017; 38 Zhou (B59) 2015; 110 Huang (B15) 2011; 38 |
| References_xml | – volume: 42 start-page: 2790 year: 2021 ident: B40 article-title: Brain dynamics: Synchronous peaks, functional connectivity, and its temporal variability. publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.25404 – volume: 62 start-page: 1022 year: 2021 ident: B13 article-title: Altered communication dynamics reflect cognitive deficits in temporal lobe epilepsy. publication-title: Epilepsia doi: 10.1111/epi.16864 – volume: 10 ident: B27 article-title: Disrupted topological properties of functional networks in epileptic children with generalized tonic-clonic seizures. publication-title: Brain Behav. doi: 10.1002/brb3.1890 – volume: 184 ident: B29 article-title: Altered dynamic functional network connectivity within default mode network of epileptic children with generalized tonic-clonic seizures. publication-title: Epilepsy Res. doi: 10.1016/j.eplepsyres.2022.106969 – volume: 88 start-page: 81 year: 2018 ident: B19 article-title: Altered attention networks and DMN in refractory epilepsy: A resting-state functional and causal connectivity study. publication-title: Epilepsy Behav. doi: 10.1016/j.yebeh.2018.06.045 – volume: 67 start-page: 683 year: 2006 ident: B7 article-title: Structural changes in patients with primary generalized tonic and clonic seizures. publication-title: Neurology doi: 10.1212/01.wnl.0000230171.23913.cf – volume: 98 start-page: 676 year: 2001 ident: B39 article-title: A default mode of brain function. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.98.2.676 – volume: 3 start-page: 240 year: 2013 ident: B34 article-title: Relationship between large-scale functional and structural covariance networks in idiopathic generalized epilepsy. publication-title: Brain Connect. doi: 10.1089/brain.2012.0132 – volume: 260 start-page: 1846 year: 2013 ident: B22 article-title: Volumetric and shape analysis of thalamus in idiopathic generalized epilepsy. publication-title: J. Neurol. doi: 10.1007/s00415-013-6891-5 – volume: 16 ident: B28 article-title: Impaired functional homotopy and topological properties within the default mode network of children with generalized tonic-clonic seizures: A resting-state fMRI study. publication-title: Front. Neurosci. doi: 10.3389/fnins.2022.833837 – volume: 50 start-page: 81 year: 2010 ident: B6 article-title: Time-frequency dynamics of resting-state brain connectivity measured with fMRI. publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.12.011 – volume: 6 year: 2012 ident: B42 article-title: Correspondence between structure and function in the human brain at rest. publication-title: Front. Neuroinformatics doi: 10.3389/fninf.2012.00010 – volume: 11 ident: B31 article-title: Impaired topological properties of gray matter structural covariance network in epilepsy children with generalized tonic-clonic seizures: A graph theoretical analysis. publication-title: Front. Neurol. doi: 10.3389/fneur.2020.00253 – volume: 46 start-page: 118 year: 2015 ident: B52 article-title: Altered functional connectivity among default, attention, and control networks in idiopathic generalized epilepsy. publication-title: Epilepsy Behav. doi: 10.1016/j.yebeh.2015.03.031 – volume: 28 start-page: 158 year: 2015 ident: B46 article-title: Resting-state functional connectivity in epilepsy: Growing relevance for clinical decision making. publication-title: Curr. Opin. Neurol. doi: 10.1097/WCO.0000000000000178 – volume: 20 start-page: 593 year: 2019 ident: B4 article-title: The brain’s default network: Updated anatomy, physiology and evolving insights. publication-title: Nat. Rev. Neurosci. doi: 10.1038/s41583-019-0212-7 – volume: 6 year: 2011 ident: B45 article-title: Impaired resting-state functional integrations within default mode network of generalized tonic-clonic seizures epilepsy. publication-title: PLoS One doi: 10.1371/journal.pone.0017294 – volume: 106 start-page: 13040 year: 2009 ident: B44 article-title: Correspondence of the brain’s functional architecture during activation and rest. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.0905267106 – volume: 58 start-page: 522 ident: B11 article-title: Operational classification of seizure types by the international league against epilepsy: Position paper of the ILAE commission for classification and terminology. publication-title: Epilepsia doi: 10.1111/epi.13670 – volume: 102 start-page: 9673 year: 2005 ident: B12 article-title: The human brain is intrinsically organized into dynamic, anticorrelated functional networks. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.0504136102 – volume: 32 start-page: 10649 year: 2012 ident: B43 article-title: Stepwise connectivity of the modal cortex reveals the multimodal organization of the human brain. publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.0759-12.2012 – volume: 62 start-page: 61 year: 2021 ident: B55 article-title: Temporal variability profiling of the default mode across epilepsy subtypes. publication-title: Epilepsia doi: 10.1111/epi.16759 – volume: 37 start-page: 4487 year: 2016 ident: B25 article-title: Disrupted structural and functional rich club organization of the brain connectome in patients with generalized tonic-clonic seizure. publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.23323 – volume: 11 year: 2022 ident: B14 article-title: Distinct functional cortico-striato-thalamo-cerebellar networks in genetic generalized and focal epilepsies with generalized tonic-clonic seizures. publication-title: J. Clin. Med. doi: 10.3390/jcm11061612 – volume: 108 start-page: 853 year: 2014 ident: B48 article-title: Frequency-dependent amplitude alterations of resting-state spontaneous fluctuations in idiopathic generalized epilepsy. publication-title: Epilepsy Res. doi: 10.1016/j.eplepsyres.2014.03.003 – volume: 1374 start-page: 134 year: 2011 ident: B49 article-title: Altered resting state networks in epileptic patients with generalized tonic–clonic seizures. publication-title: Brain Res. doi: 10.1016/j.brainres.2010.12.034 – volume: 41 start-page: 67 year: 2020 ident: B18 article-title: Reconfiguration of dynamic large-scale brain network functional connectivity in generalized tonic-clonic seizures. publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.24787 – volume: 110 start-page: 39 year: 2015 ident: B59 article-title: Selective medial temporal volume reduction in the hippocampus of patients with idiopathic generalized tonic–clonic seizures. publication-title: Epilepsy Res. doi: 10.1016/j.eplepsyres.2014.11.014 – volume: 58 start-page: 531 ident: B10 article-title: Instruction manual for the ILAE 2017 operational classification of seizure types. publication-title: Epilepsia doi: 10.1111/epi.13671 – volume: 20 start-page: 133 year: 2018 ident: B36 article-title: The frontoparietal network: Function, electrophysiology, and importance of individual precision mapping. publication-title: Dialogues Clin. Neurosci. doi: 10.31887/DCNS.2018.20.2/smarek – volume: 134 start-page: 2912 year: 2011 ident: B57 article-title: Altered functional–structural coupling of large-scale brain networks in idiopathic generalized epilepsy. publication-title: Brain doi: 10.1093/brain/awr223 – volume: 88 start-page: 22 year: 2021 ident: B53 article-title: The attention networks in benign epilepsy with centrotemporal spikes: A long-term follow-up study. publication-title: J. Clin. Neurosci. doi: 10.1016/j.jocn.2021.03.022 – volume: 258 year: 2022 ident: B3 article-title: White matter substrates of functional connectivity dynamics in the human brain. publication-title: Neuroimage doi: 10.1016/j.neuroimage.2022.119391 – volume: 22 start-page: 1326 year: 2001 ident: B8 article-title: Frequencies contributing to functional connectivity in the cerebral cortex in “resting-state” data. publication-title: AJNR Am. J. Neuroradiol. – volume: 61 start-page: 1570 year: 2020 ident: B2 article-title: Peri-ictal hypoxia is related to extent of regional brain volume loss accompanying generalized tonic-clonic seizures. publication-title: Epilepsia doi: 10.1111/epi.16615 – volume: 4 start-page: 780 year: 2014 ident: B33 article-title: DynamicBC: A MATLAB toolbox for dynamic brain connectome analysis. publication-title: Brain Connect. doi: 10.1089/brain.2014.0253 – volume: 24 start-page: 663 year: 2014 ident: B1 article-title: Tracking whole-brain connectivity dynamics in the resting state. publication-title: Cereb. Cortex doi: 10.1093/cercor/bhs352 – volume: 3 start-page: 485 year: 2018 ident: B23 article-title: Unravelling the brain networks driving spike-wave discharges in genetic generalized epilepsy—common patterns and individual differences. publication-title: Epilepsia Open doi: 10.1002/epi4.12252 – volume: 108 start-page: 1299 year: 2014 ident: B56 article-title: Increased interhemispheric resting-state in idiopathic generalized epilepsy with generalized tonic–clonic seizures: A resting-state fMRI study. publication-title: Epilepsy Res. doi: 10.1016/j.eplepsyres.2014.06.010 – volume: 7 year: 2012 ident: B51 article-title: Impairments of thalamic nuclei in idiopathic generalized epilepsy revealed by a study combining morphological and functional connectivity MRI. publication-title: PLoS One doi: 10.1371/journal.pone.0039701 – start-page: 81 year: 2013 ident: B37 article-title: Generalized tonic–clonic seizures publication-title: Neuroimaging of consciousness doi: 10.1007/978-3-642-37580-4_6 – volume: 4 year: 2017 ident: B26 article-title: Disrupted architecture of large-scale brain functional connectivity networks in patients with generalized tonic–clonic seizure. publication-title: Appl. Inf. – volume: 14 start-page: 140 year: 2001 ident: B5 article-title: A method for making group inferences from functional MRI data using independent component analysis. publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.1048 – volume: 26 year: 2013 ident: B9 article-title: Connectomics and epilepsy. publication-title: Curr. Opin. Neurol. doi: 10.1097/WCO.0b013e32835ee5b8 – volume: 16 start-page: 429 year: 2017 ident: B20 article-title: Impairments of cingulated cortex in the generalized tonic–clonic seizure epilepsy by combining morphological and functional connectivity magnetic resonance imaging. publication-title: J. Integr. Neurosci. doi: 10.3233/JIN-170026 – volume: 38 start-page: 298 year: 2011 ident: B15 article-title: Gray-matter volume reduction in the thalamus and frontal lobe in epileptic patients with generalized tonic-clonic seizures. publication-title: J. Neuroradiol. doi: 10.1016/j.neurad.2010.12.007 – volume: 9 year: 2018 ident: B47 article-title: Multimodal data and machine learning for detecting specific biomarkers in pediatric epilepsy patients with generalized tonic-clonic seizures. publication-title: Front. Neurol. doi: 10.3389/fneur.2018.01038 – volume: 14 start-page: 339 year: 2016 ident: B54 article-title: DPABI: Data processing & analysis for (resting-state) brain imaging. publication-title: Neuroinformatics doi: 10.1007/s12021-016-9299-4 – volume: 61 start-page: 1865 year: 2016 ident: B32 article-title: Altered relationship between thickness and intrinsic activity amplitude in generalized tonic–clonic seizures. publication-title: Sci. Bull. doi: 10.1007/s11434-016-1201-0 – volume: 61 start-page: 2558 year: 2020 ident: B24 article-title: Dynamic analysis of fMRI activation during epileptic spikes can help identify the seizure origin. publication-title: Epilepsia doi: 10.1111/epi.16695 – volume: 97 start-page: 83 year: 2011 ident: B58 article-title: Altered regional synchronization in epileptic patients with generalized tonic–clonic seizures. publication-title: Epilepsy Res. doi: 10.1016/j.eplepsyres.2011.07.007 – volume: 16 ident: B30 article-title: Reconfiguration of static and dynamic thalamo-cortical network functional connectivity of epileptic children with generalized tonic-clonic seizures. publication-title: Front. Neurosci. doi: 10.3389/fnins.2022.953356 – volume: 271 start-page: 839 year: 2014 ident: B17 article-title: Generalized tonic-clonic seizures: Aberrant interhemispheric functional and anatomical connectivity. publication-title: Radiology doi: 10.1148/radiol.13131638 – volume: 55 start-page: 592 year: 2014 ident: B21 article-title: Altered thalamocortical functional connectivity in idiopathic generalized epilepsy. publication-title: Epilepsia doi: 10.1111/epi.12580 – volume: 38 start-page: 957 year: 2017 ident: B35 article-title: Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic–clonic seizure. publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.23430 – volume: 63 start-page: 537 year: 2022 ident: B41 article-title: Epilepsy and brain network hubs. publication-title: Epilepsia doi: 10.1111/epi.17171 – volume: 30 start-page: 700 year: 2019 ident: B50 article-title: Impaired hippocampal functional connectivity in patients with drug resistant, generalized tonic-clonic seizures. publication-title: Neuroreport doi: 10.1097/WNR.0000000000001262 – volume: 111 start-page: 707 year: 2013 ident: B16 article-title: Cognitive side-effects of antiepileptic drugs in children. publication-title: Handb. Clin. Neurol. doi: 10.1016/B978-0-444-52891-9.00073-7 – volume: 159 year: 2020 ident: B38 article-title: Default mode network dysfunction in idiopathic generalised epilepsy. publication-title: Epilepsy Res. doi: 10.1016/j.eplepsyres.2019.106254 |
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