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

Graph theory Morphological brain networks Rolandic epilepsy Structural MRI Topological property

Journal

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319

Informations de publication

Date de publication:
29 Jun 2024
Historique:
received: 30 12 2023
revised: 09 04 2024
accepted: 15 06 2024
medline: 12 7 2024
pubmed: 12 7 2024
entrez: 11 7 2024
Statut: aheadofprint

Résumé

To investigate the local cortical morphology and individual-based morphological brain networks (MBNs) changes in children with Rolandic epilepsy (RE). Based on the structural MRI data of 56 children with RE and 56 healthy controls (HC), we constructed four types of individual-based MBNs using morphological indices (cortical thickness [CT], fractal dimension [FD], gyrification index [GI], and sulcal depth [SD]). The global and nodal properties of the brain networks were analyzed using graph theory. The between-group difference in local morphology and network topology was estimated, and partial correlation analysis was further analyzed. Compared with the HC, children with RE showed regional GI increases in the right posterior cingulate gyrus and SD increases in the right anterior cingulate gyrus and medial prefrontal cortex. Regarding the network level, RE exhibited increased characteristic path length in CT-based and FD-based networks, while decreased FD-based network node efficiency in the right inferior frontal gyrus. No significant correlation between altered morphological features and clinical variables was found in RE. These findings indicated that children with RE have disrupted morphological brain network organization beyond local morphology changes. The present study could provide more theoretical basis for exploring the neuropathological mechanisms in RE.

Identifiants

pubmed: 38991378
pii: S1388-2457(24)00185-8
doi: 10.1016/j.clinph.2024.06.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

90-96

Informations de copyright

Copyright © 2024 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Auteurs

Yu Yin (Y)

Department 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.

Xiaofan Qiu (X)

Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China.

Lisha Nie (L)

GE Healthcare, MR Research China, Beijing, China.

Fuqin Wang (F)

Department 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.

Xinyu Luo (X)

Department 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.

Chunfeng Zhao (C)

Department 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.

Haoyue Yu (H)

Department 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.

Dan Luo (D)

Department 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.

Jinhui Wang (J)

Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou 510631, China.

Heng Liu (H)

Department 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. Electronic address: zmcliuh@163.com.

Classifications MeSH