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Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy

We explored regional functional connectivity alterations in intractable focal epilepsy brains using resting-state functional MRI. Distributions of the network parameters (corresponding to degree and eigenvector centrality) measured at each brain region for all 25 patients were significantly differen...

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Autores principales: Nakai, Yasuo, Nishibayashi, Hiroki, Donishi, Tomohiro, Terada, Masaki, Nakao, Naoyuki, Kaneoke, Yoshiki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810833/
https://www.ncbi.nlm.nih.gov/pubmed/33452388
http://dx.doi.org/10.1038/s41598-021-81207-6
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author Nakai, Yasuo
Nishibayashi, Hiroki
Donishi, Tomohiro
Terada, Masaki
Nakao, Naoyuki
Kaneoke, Yoshiki
author_facet Nakai, Yasuo
Nishibayashi, Hiroki
Donishi, Tomohiro
Terada, Masaki
Nakao, Naoyuki
Kaneoke, Yoshiki
author_sort Nakai, Yasuo
collection PubMed
description We explored regional functional connectivity alterations in intractable focal epilepsy brains using resting-state functional MRI. Distributions of the network parameters (corresponding to degree and eigenvector centrality) measured at each brain region for all 25 patients were significantly different from age- and sex-matched control data that were estimated by a healthy control dataset (n = 582, 18–84 years old). The number of abnormal regions whose parameters exceeded the mean + 2 SD of age- and sex-matched data for each patient were associated with various clinical parameters such as the duration of illness and seizure severity. Furthermore, abnormal regions for each patient tended to have functional connections with each other (mean ± SD = 58.6 ± 20.2%), the magnitude of which was negatively related to the quality of life. The abnormal regions distributed within the default mode network with significantly higher probability (p < 0.05) in 7 of 25 patients. We consider that the detection of abnormal regions by functional connectivity analysis using a large number of control datasets is useful for the numerical assessment of each patient’s clinical conditions, although further study is necessary to elucidate etiology-specific abnormalities.
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spelling pubmed-78108332021-01-21 Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy Nakai, Yasuo Nishibayashi, Hiroki Donishi, Tomohiro Terada, Masaki Nakao, Naoyuki Kaneoke, Yoshiki Sci Rep Article We explored regional functional connectivity alterations in intractable focal epilepsy brains using resting-state functional MRI. Distributions of the network parameters (corresponding to degree and eigenvector centrality) measured at each brain region for all 25 patients were significantly different from age- and sex-matched control data that were estimated by a healthy control dataset (n = 582, 18–84 years old). The number of abnormal regions whose parameters exceeded the mean + 2 SD of age- and sex-matched data for each patient were associated with various clinical parameters such as the duration of illness and seizure severity. Furthermore, abnormal regions for each patient tended to have functional connections with each other (mean ± SD = 58.6 ± 20.2%), the magnitude of which was negatively related to the quality of life. The abnormal regions distributed within the default mode network with significantly higher probability (p < 0.05) in 7 of 25 patients. We consider that the detection of abnormal regions by functional connectivity analysis using a large number of control datasets is useful for the numerical assessment of each patient’s clinical conditions, although further study is necessary to elucidate etiology-specific abnormalities. Nature Publishing Group UK 2021-01-15 /pmc/articles/PMC7810833/ /pubmed/33452388 http://dx.doi.org/10.1038/s41598-021-81207-6 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Nakai, Yasuo
Nishibayashi, Hiroki
Donishi, Tomohiro
Terada, Masaki
Nakao, Naoyuki
Kaneoke, Yoshiki
Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy
title Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy
title_full Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy
title_fullStr Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy
title_full_unstemmed Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy
title_short Regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy
title_sort regional abnormality of functional connectivity is associated with clinical manifestations in individuals with intractable focal epilepsy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810833/
https://www.ncbi.nlm.nih.gov/pubmed/33452388
http://dx.doi.org/10.1038/s41598-021-81207-6
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