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Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy

The human brain exhibits marked hemispheric differences, though it is not fully understood to what extent lateralization of the epileptic focus is relevant. Preoperative [(18)F]FDG-PET depicts lateralization of seizure focus in patients with temporal lobe epilepsy and reveals dysfunctional metabolic...

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Autores principales: Vanicek, Thomas, Hahn, Andreas, Traub-Weidinger, Tatjana, Hilger, Eva, Spies, Marie, Wadsak, Wolfgang, Lanzenberger, Rupert, Pataraia, Ekaterina, Asenbaum-Nan, Susanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923886/
https://www.ncbi.nlm.nih.gov/pubmed/27349503
http://dx.doi.org/10.1038/srep28513
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author Vanicek, Thomas
Hahn, Andreas
Traub-Weidinger, Tatjana
Hilger, Eva
Spies, Marie
Wadsak, Wolfgang
Lanzenberger, Rupert
Pataraia, Ekaterina
Asenbaum-Nan, Susanne
author_facet Vanicek, Thomas
Hahn, Andreas
Traub-Weidinger, Tatjana
Hilger, Eva
Spies, Marie
Wadsak, Wolfgang
Lanzenberger, Rupert
Pataraia, Ekaterina
Asenbaum-Nan, Susanne
author_sort Vanicek, Thomas
collection PubMed
description The human brain exhibits marked hemispheric differences, though it is not fully understood to what extent lateralization of the epileptic focus is relevant. Preoperative [(18)F]FDG-PET depicts lateralization of seizure focus in patients with temporal lobe epilepsy and reveals dysfunctional metabolic brain connectivity. The aim of the present study was to compare metabolic connectivity, inferred from inter-regional [(18)F]FDG PET uptake correlations, in right-sided (RTLE; n = 30) and left-sided TLE (LTLE; n = 32) with healthy controls (HC; n = 31) using graph theory based network analysis. Comparing LTLE and RTLE and patient groups separately to HC, we observed higher lobar connectivity weights in RTLE compared to LTLE for connections of the temporal and the parietal lobe of the contralateral hemisphere (CH). Moreover, especially in RTLE compared to LTLE higher local efficiency were found in the temporal cortices and other brain regions of the CH. The results of this investigation implicate altered metabolic networks in patients with TLE specific to the lateralization of seizure focus, and describe compensatory mechanisms especially in the CH of patients with RTLE. We propose that graph theoretical analysis of metabolic connectivity using [(18)F]FDG-PET offers an important additional modality to explore brain networks.
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spelling pubmed-49238862016-06-28 Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy Vanicek, Thomas Hahn, Andreas Traub-Weidinger, Tatjana Hilger, Eva Spies, Marie Wadsak, Wolfgang Lanzenberger, Rupert Pataraia, Ekaterina Asenbaum-Nan, Susanne Sci Rep Article The human brain exhibits marked hemispheric differences, though it is not fully understood to what extent lateralization of the epileptic focus is relevant. Preoperative [(18)F]FDG-PET depicts lateralization of seizure focus in patients with temporal lobe epilepsy and reveals dysfunctional metabolic brain connectivity. The aim of the present study was to compare metabolic connectivity, inferred from inter-regional [(18)F]FDG PET uptake correlations, in right-sided (RTLE; n = 30) and left-sided TLE (LTLE; n = 32) with healthy controls (HC; n = 31) using graph theory based network analysis. Comparing LTLE and RTLE and patient groups separately to HC, we observed higher lobar connectivity weights in RTLE compared to LTLE for connections of the temporal and the parietal lobe of the contralateral hemisphere (CH). Moreover, especially in RTLE compared to LTLE higher local efficiency were found in the temporal cortices and other brain regions of the CH. The results of this investigation implicate altered metabolic networks in patients with TLE specific to the lateralization of seizure focus, and describe compensatory mechanisms especially in the CH of patients with RTLE. We propose that graph theoretical analysis of metabolic connectivity using [(18)F]FDG-PET offers an important additional modality to explore brain networks. Nature Publishing Group 2016-06-28 /pmc/articles/PMC4923886/ /pubmed/27349503 http://dx.doi.org/10.1038/srep28513 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
Vanicek, Thomas
Hahn, Andreas
Traub-Weidinger, Tatjana
Hilger, Eva
Spies, Marie
Wadsak, Wolfgang
Lanzenberger, Rupert
Pataraia, Ekaterina
Asenbaum-Nan, Susanne
Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy
title Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy
title_full Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy
title_fullStr Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy
title_full_unstemmed Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy
title_short Insights into Intrinsic Brain Networks based on Graph Theory and PET in right- compared to left-sided Temporal Lobe Epilepsy
title_sort insights into intrinsic brain networks based on graph theory and pet in right- compared to left-sided temporal lobe epilepsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923886/
https://www.ncbi.nlm.nih.gov/pubmed/27349503
http://dx.doi.org/10.1038/srep28513
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