Multilayer brain network modeling and dynamic analysis of juvenile myoclonic epilepsy.

ABSTRACT: Objective: It is indisputable that the functional connectivity of the brain network in juvenile myoclonic epilepsy (JME) patients is abnormal. As a mathematical extension of the traditional network model, the multilayer network can fully capture the fluctuations of brain imaging data with time, and capture subtle abnormal dynamic changes. This study assumed that the dynamic structure of JME patients is abnormal and used the multilayer network framework to analyze the change brain community structure in JME patients from the perspective of dynamic analysis. Methods: First, functional magnetic resonance imaging (fMRI) data were obtained from 35 JME patients and 34 healthy control subjects. In addition, the communities of the two groups were explored with the help of a multilaye

SUBMITTER: Ke M 

PROVIDER: S-EPMC10036585 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature