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Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy

As mesial temporal lobe epilepsy (mTLE) has been recognized as a network disorder, a longitudinal connectome investigation may shed new light on the understanding of the underlying pathophysiology related to distinct surgical outcomes. Resting-state functional MRI data was acquired from mTLE patient...

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Autores principales: Liao, Wei, Ji, Gong-Jun, Xu, Qiang, Wei, Wei, Wang, Jue, Wang, Zhengge, Yang, Fang, Sun, Kangjian, Jiao, Qing, Richardson, Mark P., Zang, Yu-Feng, Zhang, Zhiqiang, Lu, Guangming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802388/
https://www.ncbi.nlm.nih.gov/pubmed/27001417
http://dx.doi.org/10.1038/srep23153
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author Liao, Wei
Ji, Gong-Jun
Xu, Qiang
Wei, Wei
Wang, Jue
Wang, Zhengge
Yang, Fang
Sun, Kangjian
Jiao, Qing
Richardson, Mark P.
Zang, Yu-Feng
Zhang, Zhiqiang
Lu, Guangming
author_facet Liao, Wei
Ji, Gong-Jun
Xu, Qiang
Wei, Wei
Wang, Jue
Wang, Zhengge
Yang, Fang
Sun, Kangjian
Jiao, Qing
Richardson, Mark P.
Zang, Yu-Feng
Zhang, Zhiqiang
Lu, Guangming
author_sort Liao, Wei
collection PubMed
description As mesial temporal lobe epilepsy (mTLE) has been recognized as a network disorder, a longitudinal connectome investigation may shed new light on the understanding of the underlying pathophysiology related to distinct surgical outcomes. Resting-state functional MRI data was acquired from mTLE patients before (n = 37) and after (n = 24) anterior temporal lobectomy. According to surgical outcome, patients were classified as seizure-free (SF, n = 14) or non-seizure-free (NSF, n = 10). First, we found higher network resilience to targeted attack on topologically central nodes in the SF group compared to the NSF group, preoperatively. Next, a two-way mixed analysis of variance with between-subject factor ‘outcome’ (SF vs. NSF) and within-subject factor ‘treatment’ (pre-operation vs. post-operation) revealed divergent dynamic reorganization in nodal topological characteristics between groups, in the temporoparietal junction and its connection with the ventral prefrontal cortex. We also correlated the network damage score (caused by surgical resection) with postsurgical brain function, and found that the damage score negatively correlated with postoperative global and local parallel information processing. Taken together, dynamic connectomic architecture provides vital information for selecting surgical candidates and for understanding brain recovery mechanisms following epilepsy surgery.
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spelling pubmed-48023882016-03-23 Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy Liao, Wei Ji, Gong-Jun Xu, Qiang Wei, Wei Wang, Jue Wang, Zhengge Yang, Fang Sun, Kangjian Jiao, Qing Richardson, Mark P. Zang, Yu-Feng Zhang, Zhiqiang Lu, Guangming Sci Rep Article As mesial temporal lobe epilepsy (mTLE) has been recognized as a network disorder, a longitudinal connectome investigation may shed new light on the understanding of the underlying pathophysiology related to distinct surgical outcomes. Resting-state functional MRI data was acquired from mTLE patients before (n = 37) and after (n = 24) anterior temporal lobectomy. According to surgical outcome, patients were classified as seizure-free (SF, n = 14) or non-seizure-free (NSF, n = 10). First, we found higher network resilience to targeted attack on topologically central nodes in the SF group compared to the NSF group, preoperatively. Next, a two-way mixed analysis of variance with between-subject factor ‘outcome’ (SF vs. NSF) and within-subject factor ‘treatment’ (pre-operation vs. post-operation) revealed divergent dynamic reorganization in nodal topological characteristics between groups, in the temporoparietal junction and its connection with the ventral prefrontal cortex. We also correlated the network damage score (caused by surgical resection) with postsurgical brain function, and found that the damage score negatively correlated with postoperative global and local parallel information processing. Taken together, dynamic connectomic architecture provides vital information for selecting surgical candidates and for understanding brain recovery mechanisms following epilepsy surgery. Nature Publishing Group 2016-03-22 /pmc/articles/PMC4802388/ /pubmed/27001417 http://dx.doi.org/10.1038/srep23153 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Liao, Wei
Ji, Gong-Jun
Xu, Qiang
Wei, Wei
Wang, Jue
Wang, Zhengge
Yang, Fang
Sun, Kangjian
Jiao, Qing
Richardson, Mark P.
Zang, Yu-Feng
Zhang, Zhiqiang
Lu, Guangming
Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy
title Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy
title_full Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy
title_fullStr Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy
title_full_unstemmed Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy
title_short Functional Connectome before and following Temporal Lobectomy in Mesial Temporal Lobe Epilepsy
title_sort functional connectome before and following temporal lobectomy in mesial temporal lobe epilepsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802388/
https://www.ncbi.nlm.nih.gov/pubmed/27001417
http://dx.doi.org/10.1038/srep23153
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