Cargando…

Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models

Mesial temporal lobe epilepsy (TLE) is characterized by stereotyped origination and spread pattern of epileptogenic activity, which is reflected in stereotyped topographic distribution of neuronal atrophy on magnetic resonance imaging (MRI). Both epileptogenic activity and atrophy spread appear to f...

Descripción completa

Detalles Bibliográficos
Autores principales: Abdelnour, Farras, Mueller, Susanne, Raj, Ashish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626097/
https://www.ncbi.nlm.nih.gov/pubmed/26513579
http://dx.doi.org/10.1371/journal.pcbi.1004564
_version_ 1782398075716763648
author Abdelnour, Farras
Mueller, Susanne
Raj, Ashish
author_facet Abdelnour, Farras
Mueller, Susanne
Raj, Ashish
author_sort Abdelnour, Farras
collection PubMed
description Mesial temporal lobe epilepsy (TLE) is characterized by stereotyped origination and spread pattern of epileptogenic activity, which is reflected in stereotyped topographic distribution of neuronal atrophy on magnetic resonance imaging (MRI). Both epileptogenic activity and atrophy spread appear to follow white matter connections. We model the networked spread of activity and atrophy in TLE from first principles via two simple first order network diffusion models. Atrophy distribution is modeled as a simple consequence of the propagation of epileptogenic activity in one model, and as a progressive degenerative process in the other. We show that the network models closely reproduce the regional volumetric gray matter atrophy distribution of two epilepsy cohorts: 29 TLE subjects with medial temporal sclerosis (TLE-MTS), and 50 TLE subjects with normal appearance on MRI (TLE-no). Statistical validation at the group level suggests high correlation with measured atrophy (R = 0.586 for TLE-MTS, R = 0.283 for TLE-no). We conclude that atrophy spread model out-performs the hyperactivity spread model. These results pave the way for future clinical application of the proposed model on individual patients, including estimating future spread of atrophy, identification of seizure onset zones and surgical planning.
format Online
Article
Text
id pubmed-4626097
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-46260972015-11-06 Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models Abdelnour, Farras Mueller, Susanne Raj, Ashish PLoS Comput Biol Research Article Mesial temporal lobe epilepsy (TLE) is characterized by stereotyped origination and spread pattern of epileptogenic activity, which is reflected in stereotyped topographic distribution of neuronal atrophy on magnetic resonance imaging (MRI). Both epileptogenic activity and atrophy spread appear to follow white matter connections. We model the networked spread of activity and atrophy in TLE from first principles via two simple first order network diffusion models. Atrophy distribution is modeled as a simple consequence of the propagation of epileptogenic activity in one model, and as a progressive degenerative process in the other. We show that the network models closely reproduce the regional volumetric gray matter atrophy distribution of two epilepsy cohorts: 29 TLE subjects with medial temporal sclerosis (TLE-MTS), and 50 TLE subjects with normal appearance on MRI (TLE-no). Statistical validation at the group level suggests high correlation with measured atrophy (R = 0.586 for TLE-MTS, R = 0.283 for TLE-no). We conclude that atrophy spread model out-performs the hyperactivity spread model. These results pave the way for future clinical application of the proposed model on individual patients, including estimating future spread of atrophy, identification of seizure onset zones and surgical planning. Public Library of Science 2015-10-29 /pmc/articles/PMC4626097/ /pubmed/26513579 http://dx.doi.org/10.1371/journal.pcbi.1004564 Text en © 2015 Abdelnour et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Abdelnour, Farras
Mueller, Susanne
Raj, Ashish
Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models
title Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models
title_full Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models
title_fullStr Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models
title_full_unstemmed Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models
title_short Relating Cortical Atrophy in Temporal Lobe Epilepsy with Graph Diffusion-Based Network Models
title_sort relating cortical atrophy in temporal lobe epilepsy with graph diffusion-based network models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626097/
https://www.ncbi.nlm.nih.gov/pubmed/26513579
http://dx.doi.org/10.1371/journal.pcbi.1004564
work_keys_str_mv AT abdelnourfarras relatingcorticalatrophyintemporallobeepilepsywithgraphdiffusionbasednetworkmodels
AT muellersusanne relatingcorticalatrophyintemporallobeepilepsywithgraphdiffusionbasednetworkmodels
AT rajashish relatingcorticalatrophyintemporallobeepilepsywithgraphdiffusionbasednetworkmodels