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04-05-2024 | Juvenile Myoclonic Epilepsy | Original Article

Alterations in spatiotemporal characteristics of dynamic networks in juvenile myoclonic epilepsy

Authors: Ming Ke, Xiaofei Luo, Yi Guo, Juli Zhang, Xupeng Ren, Guangyao Liu

Abstract

Background

Juvenile myoclonic epilepsy (JME) is characterized by altered patterns of brain functional connectivity (FC). However, the nature and extent of alterations in the spatiotemporal characteristics of dynamic FC in JME patients remain elusive. Dynamic networks effectively encapsulate temporal variations in brain imaging data, offering insights into brain network abnormalities and contributing to our understanding of the seizure mechanisms and origins.

Methods

Resting-state functional magnetic resonance imaging (rs-fMRI) data were procured from 37 JME patients and 37 healthy counterparts. Forty-seven network nodes were identified by group-independent component analysis (ICA) to construct the dynamic network. Ultimately, patients’ and controls’ spatiotemporal characteristics, encompassing temporal clustering and variability, were contrasted at the whole-brain, large-scale network, and regional levels.

Results

Our findings reveal a marked reduction in temporal clustering and an elevation in temporal variability in JME patients at the whole-brain echelon. Perturbations were notably pronounced in the default mode network (DMN) and visual network (VN) at the large-scale level. Nodes exhibiting anomalous were predominantly situated within the DMN and VN. Additionally, there was a significant correlation between the severity of JME symptoms and the temporal clustering of the VN.

Conclusions

Our findings suggest that excessive temporal changes in brain FC may affect the temporal structure of dynamic brain networks, leading to disturbances in brain function in patients with JME. The DMN and VN play an important role in the dynamics of brain networks in patients, and their abnormal spatiotemporal properties may underlie abnormal brain function in patients with JME in the early stages of the disease.

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Title: Alterations in spatiotemporal characteristics of dynamic networks in juvenile myoclonic epilepsy
Authors: Ming Ke
Xiaofei Luo
Yi Guo
Juli Zhang
Xupeng Ren
Guangyao Liu
Publication date: 04-05-2024
Publisher: Springer International Publishing
Keywords: Juvenile Myoclonic Epilepsy
Epilepsy
Published in: Neurological Sciences
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI: https://doi.org/10.1007/s10072-024-07506-8

At a glance: The STEP trials

Springer Medicine

Alterations in spatiotemporal characteristics of dynamic networks in juvenile myoclonic epilepsy

Abstract

Background

Methods

Results

Conclusions

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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