Novel large scale brain network models for EEG epileptic pattern generations

作者：

Highlights：

• Developed a large scale brain network model that includes three novel networks.

• Proposed models can generate patterns with high-frequency oscillations (94–144 Hz).

• The results indicate that changing the model parameters can modify its behaviours.

• The generated EEG abnormal patterns are compared with known epileptic EEG patterns.

摘要

•Developed a large scale brain network model that includes three novel networks.•Proposed models can generate patterns with high-frequency oscillations (94–144 Hz).•The results indicate that changing the model parameters can modify its behaviours.•The generated EEG abnormal patterns are compared with known epileptic EEG patterns.

论文关键词：Low and high gamma EEG,EEG seizure-like signal,Connectome-based brain network modelling,Temporal dynamics of Stefanescu-Jirsa 2D,TVB

论文评审过程：Received 25 April 2020, Revised 8 May 2021, Accepted 26 December 2021, Available online 6 January 2022, Version of Record 19 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116477