Cortico‐striato‐thalamo‐cerebellar networks of structural covariance underlying different epilepsy syndromes associated with generalized tonic–clonic seizures

Generalized tonic–clonic seizures (GTCS) are the severest and most remarkable clinical expressions of human epilepsy. Cortical, subcortical, and cerebellar structures, organized with different network patterns, underlying the pathophysiological substrates of genetic associated epilepsy with GTCS (GE...

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Published inHuman brain mapping Vol. 42; no. 4; pp. 1102 - 1115
Main Authors Xu, Qiang, Zhang, Qirui, Yang, Fang, Weng, Yifei, Xie, Xinyu, Hao, Jingru, Qi, Rongfeng, Gumenyuk, Valentina, Stufflebeam, Steven M, Bernhardt, Boris C., Lu, Guangming, Zhang, Zhiqiang
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.03.2021
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Summary:Generalized tonic–clonic seizures (GTCS) are the severest and most remarkable clinical expressions of human epilepsy. Cortical, subcortical, and cerebellar structures, organized with different network patterns, underlying the pathophysiological substrates of genetic associated epilepsy with GTCS (GE‐GTCS) and focal epilepsy associated with focal to bilateral tonic–clonic seizure (FE‐FBTS). Structural covariance analysis can delineate the features of epilepsy network related with long‐term effects from seizure. Morphometric MRI data of 111 patients with GE‐GTCS, 111 patients with FE‐FBTS and 111 healthy controls were studied. Cortico‐striato‐thalao‐cerebellar networks of structural covariance within the gray matter were constructed using a Winner‐take‐all strategy with five cortical parcellations. Comparisons of structural covariance networks were conducted using permutation tests, and module effects of disease duration on networks were conducted using GLM model. Both patient groups showed increased connectivity of structural covariance relative to controls, mainly within the striatum and thalamus, and mostly correlated with the frontal, motor, and somatosensory cortices. Connectivity changes increased as a function of epilepsy durations. FE‐FBTS showed more intensive and extensive gray matter changes with volumetric loss and connectivity increment than GE‐GTCS. Our findings implicated cortico‐striato‐thalamo‐cerebellar network changes at a large temporal scale in GTCS, with FE‐FBTS showing more severe network disruption. The study contributed novel imaging evidence for understanding the different epilepsy syndromes associated with generalized seizures. In this work, we used a winner‐take‐all strategy‐based structural covariance connectivity analysis, to delineate the cortico‐striato‐thalamo‐cerebellar networks in two syndromes of generalized epilepsy. Our findings implicated cortico‐striato‐thalamo‐cerebellar network changes at a large temporal scale in GTCS, with FE‐FBTS showing more severe network disruption. The study contributes novel imaging evidence for understanding the different epilepsy syndromes associated with generalized seizures.
Bibliography:Funding information
National Natural Scientific Foundation of China, Grant/Award Numbers: 81871345, 81790653, 81790650, 81701680; Post‐doctoral grants of China, Grant/Award Number: 2016M603064; Natural scientific foundation‐social development, Grant/Award Number: BE2016751; Government of Jiangsu Province, Grant/Award Numbers: 1501169B, ZDRCA2016093; National Key Research & Development Program of Ministry of Science & Technology of PR. China, Grant/Award Numbers: 2017YFC0108805, 2018YFA0701703
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Funding information National Natural Scientific Foundation of China, Grant/Award Numbers: 81871345, 81790653, 81790650, 81701680; Post‐doctoral grants of China, Grant/Award Number: 2016M603064; Natural scientific foundation‐social development, Grant/Award Number: BE2016751; Government of Jiangsu Province, Grant/Award Numbers: 1501169B, ZDRCA2016093; National Key Research & Development Program of Ministry of Science & Technology of PR. China, Grant/Award Numbers: 2017YFC0108805, 2018YFA0701703
ISSN:1065-9471
1097-0193
DOI:10.1002/hbm.25279