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Normative brain mapping using scalp EEG and potential clinical application

A normative electrographic activity map could be a powerful resource to understand normal brain function and identify abnormal activity. Here, we present a normative brain map using scalp EEG in terms of relative band power. In this exploratory study we investigate its temporal stability, its simila...

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Autores principales: Janiukstyte, Vytene, Owen, Thomas W., Chaudhary, Umair J., Diehl, Beate, Lemieux, Louis, Duncan, John S., de Tisi, Jane, Wang, Yujiang, Taylor, Peter N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439201/
https://www.ncbi.nlm.nih.gov/pubmed/37596291
http://dx.doi.org/10.1038/s41598-023-39700-7
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author Janiukstyte, Vytene
Owen, Thomas W.
Chaudhary, Umair J.
Diehl, Beate
Lemieux, Louis
Duncan, John S.
de Tisi, Jane
Wang, Yujiang
Taylor, Peter N.
author_facet Janiukstyte, Vytene
Owen, Thomas W.
Chaudhary, Umair J.
Diehl, Beate
Lemieux, Louis
Duncan, John S.
de Tisi, Jane
Wang, Yujiang
Taylor, Peter N.
author_sort Janiukstyte, Vytene
collection PubMed
description A normative electrographic activity map could be a powerful resource to understand normal brain function and identify abnormal activity. Here, we present a normative brain map using scalp EEG in terms of relative band power. In this exploratory study we investigate its temporal stability, its similarity to other imaging modalities, and explore a potential clinical application. We constructed scalp EEG normative maps of brain dynamics from 17 healthy controls using source-localised resting-state scalp recordings. We then correlated these maps with those acquired from MEG and intracranial EEG to investigate their similarity. Lastly, we use the normative maps to lateralise abnormal regions in epilepsy. Spatial patterns of band powers were broadly consistent with previous literature and stable across recordings. Scalp EEG normative maps were most similar to other modalities in the alpha band, and relatively similar across most bands. Towards a clinical application in epilepsy, we found abnormal temporal regions ipsilateral to the epileptogenic hemisphere. Scalp EEG relative band power normative maps are spatially stable across time, in keeping with MEG and intracranial EEG results. Normative mapping is feasible and may be potentially clinically useful in epilepsy. Future studies with larger sample sizes and high-density EEG are now required for validation.
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spelling pubmed-104392012023-08-20 Normative brain mapping using scalp EEG and potential clinical application Janiukstyte, Vytene Owen, Thomas W. Chaudhary, Umair J. Diehl, Beate Lemieux, Louis Duncan, John S. de Tisi, Jane Wang, Yujiang Taylor, Peter N. Sci Rep Article A normative electrographic activity map could be a powerful resource to understand normal brain function and identify abnormal activity. Here, we present a normative brain map using scalp EEG in terms of relative band power. In this exploratory study we investigate its temporal stability, its similarity to other imaging modalities, and explore a potential clinical application. We constructed scalp EEG normative maps of brain dynamics from 17 healthy controls using source-localised resting-state scalp recordings. We then correlated these maps with those acquired from MEG and intracranial EEG to investigate their similarity. Lastly, we use the normative maps to lateralise abnormal regions in epilepsy. Spatial patterns of band powers were broadly consistent with previous literature and stable across recordings. Scalp EEG normative maps were most similar to other modalities in the alpha band, and relatively similar across most bands. Towards a clinical application in epilepsy, we found abnormal temporal regions ipsilateral to the epileptogenic hemisphere. Scalp EEG relative band power normative maps are spatially stable across time, in keeping with MEG and intracranial EEG results. Normative mapping is feasible and may be potentially clinically useful in epilepsy. Future studies with larger sample sizes and high-density EEG are now required for validation. Nature Publishing Group UK 2023-08-18 /pmc/articles/PMC10439201/ /pubmed/37596291 http://dx.doi.org/10.1038/s41598-023-39700-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Janiukstyte, Vytene
Owen, Thomas W.
Chaudhary, Umair J.
Diehl, Beate
Lemieux, Louis
Duncan, John S.
de Tisi, Jane
Wang, Yujiang
Taylor, Peter N.
Normative brain mapping using scalp EEG and potential clinical application
title Normative brain mapping using scalp EEG and potential clinical application
title_full Normative brain mapping using scalp EEG and potential clinical application
title_fullStr Normative brain mapping using scalp EEG and potential clinical application
title_full_unstemmed Normative brain mapping using scalp EEG and potential clinical application
title_short Normative brain mapping using scalp EEG and potential clinical application
title_sort normative brain mapping using scalp eeg and potential clinical application
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439201/
https://www.ncbi.nlm.nih.gov/pubmed/37596291
http://dx.doi.org/10.1038/s41598-023-39700-7
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