Structural brain network analysis of children with localization-related epilepsy
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Updated: Mar 2, 2026
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Kanako Takeda1, Hiroshi Matsuda2, Yusaku Miyamoto3
1Division of Pediatrics, Kawasaki Municipal Tama Hospital, St. Marianna University School of Medicine, Japan; Department of Pediatrics, St. Marianna University School of Medicine, Japan; Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Japan.
Introduction:
Epilepsy is considered to arise from dysfunction in neural networks. Recent advances in neuroimaging and its analysis have made it possible to investigate both functional and structural connectivity in the brain. The aim of this study was to elucidate alterations in the structural connectivity in children with localization-related epilepsy using the mathematical method of graph theoretical analysis.
Methodology:
Fifteen children with localization-related epilepsy (8 female subjects; mean age, 8.5±3.5years) as an epilepsy group and 23 children without a history of seizure (12 female subjects; mean age, 8.9±3.7years) as a control group underwent three-dimensional T1-weighted brain magnetic resonance imaging (MRI). Gray matter images segmented and spatially normalized from the MRIs of both groups were analyzed using statistical parametric mapping with the Graph Analysis Toolbox. We compared global networks (global efficiency, clustering coefficient and network strength) and regional networks (betweenness centrality and clustering) between patients and controls.
Results:
The global efficiency tended to be increased (p=0.081) and the global modularity was significantly increased (p=0.017) in the epilepsy group as compared with the control group. The epilepsy group showed locally decreased betweenness centrality mainly in the bilateral cingulate gyri, right perisylvian area, and bilateral precentral gyri, and locally increased clustering in the bilateral cingulate gyri, right perisylvian area, and medial frontal lobes as compared with the control group. The epilepsy group showed higher network resilience to random attack and targeted attack than the control group. Voxel-based morphometry did not show any difference between the two groups.
Conclusions:
We observed globally increased structural connectivity along with excessive network robustness in patients with localization-related epilepsy. Local abnormality of connectivity was observed mainly in the cingulate gyrus, perisylvian area, and precentral gyrus. This alteration in the structural connectivity without any morphometric changes may be related to the underlying epileptogenicity.
