Hyperconnectivity in juvenile myoclonic epilepsy: A network analysis

Caeyenberghs, K., Powell, H.W.R., Thomas, Rhys Huw ORCID: https://orcid.org/0000-0003-2062-8623, Brindley, Lisa ORCID: https://orcid.org/0000-0002-6673-3800, Church, C., Evans, J., Muthukumaraswamy, S.D., Jones, Derek ORCID: https://orcid.org/0000-0003-4409-8049 and Hamandi, Khalid 2015. Hyperconnectivity in juvenile myoclonic epilepsy: A network analysis. NeuroImage: Clinical 7 , pp. 98-104. 10.1016/j.nicl.2014.11.018

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Abstract

OBJECTIVE: Juvenile myoclonic epilepsy (JME) is a common idiopathic (genetic) generalized epilepsy (IGE) syndrome characterized by impairments in executive and cognitive control, affecting independent living and psychosocial functioning. There is a growing consensus that JME is associated with abnormal function of diffuse brain networks, typically affecting frontal and fronto-thalamic areas. METHODS: Using diffusion MRI and a graph theoretical analysis, we examined bivariate (network-based statistic) and multivariate (global and local) properties of structural brain networks in patients with JME (N = 34) and matched controls. Neuropsychological assessment was performed in a subgroup of 14 patients. RESULTS: Neuropsychometry revealed impaired visual memory and naming in JME patients despite a normal full scale IQ (mean = 98.6). Both JME patients and controls exhibited a small world topology in their white matter networks, with no significant differences in the global multivariate network properties between the groups. The network-based statistic approach identified one subnetwork of hyperconnectivity in the JME group, involving primary motor, parietal and subcortical regions. Finally, there was a significant positive correlation in structural connectivity with cognitive task performance. CONCLUSIONS: Our findings suggest that structural changes in JME patients are distributed at a network level, beyond the frontal lobes. The identified subnetwork includes key structures in spike wave generation, along with primary motor areas, which may contribute to myoclonic jerks. We conclude that analyzing the affected subnetworks may provide new insights into understanding seizure generation, as well as the cognitive deficits observed in JME patients.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Medicine Psychology
Subjects:	R Medicine > R Medicine (General)
Publisher:	Elsevier: Creative Commons
ISSN:	2213-1582
Last Modified:	27 Oct 2022 01:09
URI:	https://orca.cardiff.ac.uk/id/eprint/74800

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