| Issue |
EPL
Volume 152, Number 5, December 2025
|
|
|---|---|---|
| Article Number | 52002 | |
| Number of page(s) | 7 | |
| Section | Mathematical and interdisciplinary physics | |
| DOI | https://doi.org/10.1209/0295-5075/ae23f7 | |
| Published online | 17 December 2025 | |
Ring network model assesses functional connectivity in epilepsy surgery
School of Sciences, Hangzhou Dianzi University - Hangzhou 310018, China
Received: 8 October 2025
Accepted: 25 November 2025
Abstract
Epilepsy arises from aberrant neuronal network connectivity. We developed a 50-module ring network model, each module including a pyramidal neuron, an interneuron, and an astrocyte, to simulate seizure-like activity and surgical intervention. By increasing pyramidal neuron connectivity to induce seizures and simulating removal of modules 20–30, we assessed functional connectivity changes using Pearson correlation coefficients. Post-surgery, the coefficient decreased from 0.57 to 0.13. This study demonstrates that module removal effectively regulates aberrant network dynamics, providing theoretical support for epilepsy surgery.
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