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Updated: Jul 23, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

Individual-based morphological brain network changes in children with Rolandic epilepsy.

Yu Yin¹, Xiaofan Qiu², Lisha Nie³

¹Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Engineering Research Center of Intelligent Medical Imaging in Guizhou Higher Education Institutions, Zunyi 563003, China; Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China.

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology

|July 11, 2024

Summary

Children with Rolandic epilepsy (RE) show altered brain structure and disrupted brain networks. These findings suggest network-level changes are key in RE

Keywords:

Graph theory Morphological brain networks Rolandic epilepsy Structural MRI Topological property

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Area of Science:

Neuroscience
Medical Imaging
Epilepsy Research

Background:

Rolandic epilepsy (RE) is a common childhood epilepsy syndrome.
Understanding the underlying brain structure and network alterations in RE is crucial for diagnosis and treatment.

Purpose of the Study:

To investigate local cortical morphology and individual-based morphological brain networks (MBNs) in children with RE.
To compare MBNs between children with RE and healthy controls (HC).

Main Methods:

Structural MRI data from 56 children with RE and 56 HC were analyzed.
Four types of MBNs were constructed using cortical thickness, fractal dimension, gyrification index, and sulcal depth.
Graph theory was applied to analyze global and nodal network properties.

Main Results:

Children with RE exhibited increased gyrification index in the right posterior cingulate gyrus and increased sulcal depth in the right anterior cingulate gyrus and medial prefrontal cortex.
RE showed increased characteristic path length in CT- and FD-based networks.
Decreased FD-based network node efficiency was observed in the right inferior frontal gyrus in RE patients.

Conclusions:

Children with RE demonstrate disrupted morphological brain network organization beyond localized changes.
These findings offer insights into the neuropathological mechanisms of RE.
Further research can explore the clinical implications of these network alterations.