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MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions

Drug-resistant epilepsy can be most limiting for patients, and surgery represents a viable therapy option. With the growing research on the human connectome and the evidence of epilepsy being a network disorder, connectivity analysis may be able to contribute to our understanding of epilepsy and may...

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Autores principales: Vogel, Stephan, Kaltenhäuser, Martin, Kim, Cora, Müller-Voggel, Nadia, Rössler, Karl, Dörfler, Arnd, Schwab, Stefan, Hamer, Hajo, Buchfelder, Michael, Rampp, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699109/
https://www.ncbi.nlm.nih.gov/pubmed/34942895
http://dx.doi.org/10.3390/brainsci11121590
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author Vogel, Stephan
Kaltenhäuser, Martin
Kim, Cora
Müller-Voggel, Nadia
Rössler, Karl
Dörfler, Arnd
Schwab, Stefan
Hamer, Hajo
Buchfelder, Michael
Rampp, Stefan
author_facet Vogel, Stephan
Kaltenhäuser, Martin
Kim, Cora
Müller-Voggel, Nadia
Rössler, Karl
Dörfler, Arnd
Schwab, Stefan
Hamer, Hajo
Buchfelder, Michael
Rampp, Stefan
author_sort Vogel, Stephan
collection PubMed
description Drug-resistant epilepsy can be most limiting for patients, and surgery represents a viable therapy option. With the growing research on the human connectome and the evidence of epilepsy being a network disorder, connectivity analysis may be able to contribute to our understanding of epilepsy and may be potentially developed into clinical applications. In this magnetoencephalographic study, we determined the whole-brain node degree of connectivity levels in patients and controls. Resting-state activity was measured at five frequency bands in 15 healthy controls and 15 patients with focal epilepsy of different etiologies. The whole-brain all-to-all imaginary part of coherence in source space was then calculated. Node degree was determined and parcellated and was used for further statistical evaluation. In comparison to controls, we found a significantly higher overall node degree in patients with lesional and non-lesional epilepsy. Furthermore, we examined the conditions of high/reduced vigilance and open/closed eyes in controls, to analyze whether patient node degree levels can be achieved. We evaluated intraclass-correlation statistics (ICC) to evaluate the reproducibility. Connectivity and specifically node degree analysis could present new tools for one of the most common neurological diseases, with potential applications in epilepsy diagnostics.
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spelling pubmed-86991092021-12-24 MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions Vogel, Stephan Kaltenhäuser, Martin Kim, Cora Müller-Voggel, Nadia Rössler, Karl Dörfler, Arnd Schwab, Stefan Hamer, Hajo Buchfelder, Michael Rampp, Stefan Brain Sci Article Drug-resistant epilepsy can be most limiting for patients, and surgery represents a viable therapy option. With the growing research on the human connectome and the evidence of epilepsy being a network disorder, connectivity analysis may be able to contribute to our understanding of epilepsy and may be potentially developed into clinical applications. In this magnetoencephalographic study, we determined the whole-brain node degree of connectivity levels in patients and controls. Resting-state activity was measured at five frequency bands in 15 healthy controls and 15 patients with focal epilepsy of different etiologies. The whole-brain all-to-all imaginary part of coherence in source space was then calculated. Node degree was determined and parcellated and was used for further statistical evaluation. In comparison to controls, we found a significantly higher overall node degree in patients with lesional and non-lesional epilepsy. Furthermore, we examined the conditions of high/reduced vigilance and open/closed eyes in controls, to analyze whether patient node degree levels can be achieved. We evaluated intraclass-correlation statistics (ICC) to evaluate the reproducibility. Connectivity and specifically node degree analysis could present new tools for one of the most common neurological diseases, with potential applications in epilepsy diagnostics. MDPI 2021-11-30 /pmc/articles/PMC8699109/ /pubmed/34942895 http://dx.doi.org/10.3390/brainsci11121590 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vogel, Stephan
Kaltenhäuser, Martin
Kim, Cora
Müller-Voggel, Nadia
Rössler, Karl
Dörfler, Arnd
Schwab, Stefan
Hamer, Hajo
Buchfelder, Michael
Rampp, Stefan
MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions
title MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions
title_full MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions
title_fullStr MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions
title_full_unstemmed MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions
title_short MEG Node Degree Differences in Patients with Focal Epilepsy vs. Controls—Influence of Experimental Conditions
title_sort meg node degree differences in patients with focal epilepsy vs. controls—influence of experimental conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699109/
https://www.ncbi.nlm.nih.gov/pubmed/34942895
http://dx.doi.org/10.3390/brainsci11121590
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