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Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis

Normal brain functioning is presumed to depend upon interacting regions within large-scale neuronal networks. Increasing evidence exists that interictal network alterations in focal epilepsy are associated with cognitive and behavioral deficits. Nevertheless, the reported network alterations are inc...

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Autores principales: van Diessen, Eric, Zweiphenning, Willemiek J. E. M., Jansen, Floor E., Stam, Cornelis J., Braun, Kees P. J., Otte, Willem M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262431/
https://www.ncbi.nlm.nih.gov/pubmed/25493432
http://dx.doi.org/10.1371/journal.pone.0114606
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author van Diessen, Eric
Zweiphenning, Willemiek J. E. M.
Jansen, Floor E.
Stam, Cornelis J.
Braun, Kees P. J.
Otte, Willem M.
author_facet van Diessen, Eric
Zweiphenning, Willemiek J. E. M.
Jansen, Floor E.
Stam, Cornelis J.
Braun, Kees P. J.
Otte, Willem M.
author_sort van Diessen, Eric
collection PubMed
description Normal brain functioning is presumed to depend upon interacting regions within large-scale neuronal networks. Increasing evidence exists that interictal network alterations in focal epilepsy are associated with cognitive and behavioral deficits. Nevertheless, the reported network alterations are inconclusive and prone to low statistical power due to small sample sizes as well as modest effect sizes. We therefore systematically reviewed the existing literature and conducted a meta-analysis to characterize the changes in whole-brain interictal focal epilepsy networks at sufficient power levels. We focused on the two most commonly used metrics in whole-brain networks: average path length and average clustering coefficient. Twelve studies were included that reported whole-brain network average path length and average clustering coefficient characteristics in patients and controls. The overall group difference, quantified as the standardized mean average path length difference between epilepsy and control groups, corresponded to a significantly increased average path length of 0.29 (95% confidence interval (CI): 0.12 to 0.45, p = 0.0007) in the epilepsy group. This suggests a less integrated interictal whole-brain network. Similarly, a significantly increased standardized mean average clustering coefficient of 0.35 (CI: 0.05 to 0.65, p = 0.02) was found in the epilepsy group in comparison with controls, pointing towards a more segregated interictal network. Sub-analyses revealed similar results for functional and structural networks in terms of effect size and directionality for both metrics. In addition, we found individual network studies to be prone to low power due to the relatively small group differences in average path length and average clustering coefficient in combination with small sample sizes. The pooled network characteristics support the hypothesis that focal epilepsy has widespread detrimental effects, that is, reduced integration and increased segregation, on whole brain interictal network organization, which may relate to the co-morbid cognitive and behavioral impairments often reported in patients with focal epilepsy.
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spelling pubmed-42624312014-12-15 Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis van Diessen, Eric Zweiphenning, Willemiek J. E. M. Jansen, Floor E. Stam, Cornelis J. Braun, Kees P. J. Otte, Willem M. PLoS One Research Article Normal brain functioning is presumed to depend upon interacting regions within large-scale neuronal networks. Increasing evidence exists that interictal network alterations in focal epilepsy are associated with cognitive and behavioral deficits. Nevertheless, the reported network alterations are inconclusive and prone to low statistical power due to small sample sizes as well as modest effect sizes. We therefore systematically reviewed the existing literature and conducted a meta-analysis to characterize the changes in whole-brain interictal focal epilepsy networks at sufficient power levels. We focused on the two most commonly used metrics in whole-brain networks: average path length and average clustering coefficient. Twelve studies were included that reported whole-brain network average path length and average clustering coefficient characteristics in patients and controls. The overall group difference, quantified as the standardized mean average path length difference between epilepsy and control groups, corresponded to a significantly increased average path length of 0.29 (95% confidence interval (CI): 0.12 to 0.45, p = 0.0007) in the epilepsy group. This suggests a less integrated interictal whole-brain network. Similarly, a significantly increased standardized mean average clustering coefficient of 0.35 (CI: 0.05 to 0.65, p = 0.02) was found in the epilepsy group in comparison with controls, pointing towards a more segregated interictal network. Sub-analyses revealed similar results for functional and structural networks in terms of effect size and directionality for both metrics. In addition, we found individual network studies to be prone to low power due to the relatively small group differences in average path length and average clustering coefficient in combination with small sample sizes. The pooled network characteristics support the hypothesis that focal epilepsy has widespread detrimental effects, that is, reduced integration and increased segregation, on whole brain interictal network organization, which may relate to the co-morbid cognitive and behavioral impairments often reported in patients with focal epilepsy. Public Library of Science 2014-12-10 /pmc/articles/PMC4262431/ /pubmed/25493432 http://dx.doi.org/10.1371/journal.pone.0114606 Text en © 2014 van Diessen 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
van Diessen, Eric
Zweiphenning, Willemiek J. E. M.
Jansen, Floor E.
Stam, Cornelis J.
Braun, Kees P. J.
Otte, Willem M.
Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis
title Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis
title_full Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis
title_fullStr Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis
title_full_unstemmed Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis
title_short Brain Network Organization in Focal Epilepsy: A Systematic Review and Meta-Analysis
title_sort brain network organization in focal epilepsy: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262431/
https://www.ncbi.nlm.nih.gov/pubmed/25493432
http://dx.doi.org/10.1371/journal.pone.0114606
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