Cargando…

Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging

BACKGROUND AND PURPOSE: There is accumulating evidence that epilepsy is caused by network dysfunction. We evaluated the hub reorganization of subcortical structures in patients with focal epilepsy using graph theoretical analysis based on diffusion-tensor imaging (DTI). In addition, we investigated...

Descripción completa

Detalles Bibliográficos
Autores principales: Park, Kang Min, Lee, Byung In, Shin, Kyong Jin, Ha, Sam Yeol, Park, JinSe, Kim, Si Eun, Kim, Sung Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neurological Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325361/
https://www.ncbi.nlm.nih.gov/pubmed/30618219
http://dx.doi.org/10.3988/jcn.2019.15.1.68
_version_ 1783386114631925760
author Park, Kang Min
Lee, Byung In
Shin, Kyong Jin
Ha, Sam Yeol
Park, JinSe
Kim, Si Eun
Kim, Sung Eun
author_facet Park, Kang Min
Lee, Byung In
Shin, Kyong Jin
Ha, Sam Yeol
Park, JinSe
Kim, Si Eun
Kim, Sung Eun
author_sort Park, Kang Min
collection PubMed
description BACKGROUND AND PURPOSE: There is accumulating evidence that epilepsy is caused by network dysfunction. We evaluated the hub reorganization of subcortical structures in patients with focal epilepsy using graph theoretical analysis based on diffusion-tensor imaging (DTI). In addition, we investigated differences in the values of diffusion tensors and scalars, fractional anisotropy (FA), and mean diffusivity (MD) of subcortical structures between patients with focal epilepsy and healthy subjects. METHODS: One hundred patients with focal epilepsy and normal magnetic resonance imaging (MRI) findings and 80 age- and sex-matched healthy subjects were recruited prospectively. All subjects underwent DTI to obtain data suitable for graph theoretical analysis. We investigated the differences in the node strength, cluster coefficient, eigenvector centrality, page-rank centrality measures, FA, and MD of subcortical structures between patients with epilepsy and healthy subjects. RESULTS: After performing multiple corrections, the cluster coefficient and the eigenvector centrality of the globus pallidus were higher in patients with epilepsy than in healthy subjects (p=0.006 and p=0.008, respectively). In addition, the strength and the page-rank centrality of the globus pallidus tended to be higher in patients with epilepsy than in healthy subjects (p=0.092 and p=0.032, respectively). The cluster coefficient of the putamen was lower in patients with epilepsy than in healthy subjects (p=0.004). The FA values of the caudate nucleus and thalamus were significantly lower in patients with epilepsy than in healthy subjects (p=0.009 and p=0.007, respectively), whereas the MD value of the thalamus was higher than that in healthy subjects (p=0.005). CONCLUSIONS: We discovered the presence of hub reorganization of subcortical structures in focal epilepsy patients with normal MRI findings, suggesting that subcortical structures play a pivotal role as a hub in the epilepsy network. These findings further reinforce the idea that epilepsy is a network disease.
format Online
Article
Text
id pubmed-6325361
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Korean Neurological Association
record_format MEDLINE/PubMed
spelling pubmed-63253612019-01-11 Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging Park, Kang Min Lee, Byung In Shin, Kyong Jin Ha, Sam Yeol Park, JinSe Kim, Si Eun Kim, Sung Eun J Clin Neurol Original Article BACKGROUND AND PURPOSE: There is accumulating evidence that epilepsy is caused by network dysfunction. We evaluated the hub reorganization of subcortical structures in patients with focal epilepsy using graph theoretical analysis based on diffusion-tensor imaging (DTI). In addition, we investigated differences in the values of diffusion tensors and scalars, fractional anisotropy (FA), and mean diffusivity (MD) of subcortical structures between patients with focal epilepsy and healthy subjects. METHODS: One hundred patients with focal epilepsy and normal magnetic resonance imaging (MRI) findings and 80 age- and sex-matched healthy subjects were recruited prospectively. All subjects underwent DTI to obtain data suitable for graph theoretical analysis. We investigated the differences in the node strength, cluster coefficient, eigenvector centrality, page-rank centrality measures, FA, and MD of subcortical structures between patients with epilepsy and healthy subjects. RESULTS: After performing multiple corrections, the cluster coefficient and the eigenvector centrality of the globus pallidus were higher in patients with epilepsy than in healthy subjects (p=0.006 and p=0.008, respectively). In addition, the strength and the page-rank centrality of the globus pallidus tended to be higher in patients with epilepsy than in healthy subjects (p=0.092 and p=0.032, respectively). The cluster coefficient of the putamen was lower in patients with epilepsy than in healthy subjects (p=0.004). The FA values of the caudate nucleus and thalamus were significantly lower in patients with epilepsy than in healthy subjects (p=0.009 and p=0.007, respectively), whereas the MD value of the thalamus was higher than that in healthy subjects (p=0.005). CONCLUSIONS: We discovered the presence of hub reorganization of subcortical structures in focal epilepsy patients with normal MRI findings, suggesting that subcortical structures play a pivotal role as a hub in the epilepsy network. These findings further reinforce the idea that epilepsy is a network disease. Korean Neurological Association 2019-01 2018-12-28 /pmc/articles/PMC6325361/ /pubmed/30618219 http://dx.doi.org/10.3988/jcn.2019.15.1.68 Text en Copyright © 2019 Korean Neurological Association http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Park, Kang Min
Lee, Byung In
Shin, Kyong Jin
Ha, Sam Yeol
Park, JinSe
Kim, Si Eun
Kim, Sung Eun
Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging
title Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging
title_full Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging
title_fullStr Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging
title_full_unstemmed Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging
title_short Pivotal Role of Subcortical Structures as a Network Hub in Focal Epilepsy: Evidence from Graph Theoretical Analysis Based on Diffusion-Tensor Imaging
title_sort pivotal role of subcortical structures as a network hub in focal epilepsy: evidence from graph theoretical analysis based on diffusion-tensor imaging
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325361/
https://www.ncbi.nlm.nih.gov/pubmed/30618219
http://dx.doi.org/10.3988/jcn.2019.15.1.68
work_keys_str_mv AT parkkangmin pivotalroleofsubcorticalstructuresasanetworkhubinfocalepilepsyevidencefromgraphtheoreticalanalysisbasedondiffusiontensorimaging
AT leebyungin pivotalroleofsubcorticalstructuresasanetworkhubinfocalepilepsyevidencefromgraphtheoreticalanalysisbasedondiffusiontensorimaging
AT shinkyongjin pivotalroleofsubcorticalstructuresasanetworkhubinfocalepilepsyevidencefromgraphtheoreticalanalysisbasedondiffusiontensorimaging
AT hasamyeol pivotalroleofsubcorticalstructuresasanetworkhubinfocalepilepsyevidencefromgraphtheoreticalanalysisbasedondiffusiontensorimaging
AT parkjinse pivotalroleofsubcorticalstructuresasanetworkhubinfocalepilepsyevidencefromgraphtheoreticalanalysisbasedondiffusiontensorimaging
AT kimsieun pivotalroleofsubcorticalstructuresasanetworkhubinfocalepilepsyevidencefromgraphtheoreticalanalysisbasedondiffusiontensorimaging
AT kimsungeun pivotalroleofsubcorticalstructuresasanetworkhubinfocalepilepsyevidencefromgraphtheoreticalanalysisbasedondiffusiontensorimaging