Abnormal dynamic connectivity patterns in self-limited epilepsy with centrotemporal spikes

Jiaren Zhang; Anjie Zhang; Tijiang Zhang; Lin Jiang

doi:10.1016/j.brainresbull.2025.111669

December 2, 2025Brain Research BulletinOpen Access

Abnormal dynamic connectivity patterns in self-limited epilepsy with centrotemporal spikes

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Key Points

Abnormal dynamic connectivity patterns were identified in children with self-limited epilepsy, indicating potential neural network dysfunction.
The study highlights abnormalities in neural networks, contributing to our understanding of excitation-inhibition imbalance.
Observational analysis of brain connectivity across various conditions demonstrated insights into functional reorganization.
Identified mechanisms may imply the need for targeted interventions for better management of epilepsy in affected children.

Abstract

This study revealed abnormal dynamic connectivity patterns of brain networks in children with SeLECTS from a multidimensional dynamic perspective. These macroscopic abnormalities may reflect an underlying excitation-inhibition imbalance in neural networks and provide new insights into brain functional reorganization and the potential neurobiological mechanisms of SeLECTS.

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Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/6940274a2d562116f28ff5fc https://doi.org/10.1016/j.brainresbull.2025.111669

View Full Paper

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Abnormal dynamic connectivity patterns in self-limited epilepsy with centrotemporal spikes

Key Points

Abstract

Discussion

Cite This Study

Abnormal dynamic connectivity patterns in self-limited epilepsy with centrotemporal spikes

Key Points

Abstract

Discussion

Cite This Study

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