Normative brain mapping using scalp EEG and potential clinical application
Abstract 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, i...
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Nature Portfolio
2023-08-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-39700-7 |
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author | Vytene Janiukstyte Thomas W. Owen Umair J. Chaudhary Beate Diehl Louis Lemieux John S. Duncan Jane de Tisi Yujiang Wang Peter N. Taylor |
author_facet | Vytene Janiukstyte Thomas W. Owen Umair J. Chaudhary Beate Diehl Louis Lemieux John S. Duncan Jane de Tisi Yujiang Wang Peter N. Taylor |
author_sort | Vytene Janiukstyte |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-03-09T15:13:08Z |
format | Article |
id | doaj.art-ceb8b2b2d0594925a1cc1017992bef6b |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-03-09T15:13:08Z |
publishDate | 2023-08-01 |
publisher | Nature Portfolio |
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series | Scientific Reports |
spelling | doaj.art-ceb8b2b2d0594925a1cc1017992bef6b2023-11-26T13:15:26ZengNature PortfolioScientific Reports2045-23222023-08-0113111010.1038/s41598-023-39700-7Normative brain mapping using scalp EEG and potential clinical applicationVytene Janiukstyte0Thomas W. Owen1Umair J. Chaudhary2Beate Diehl3Louis Lemieux4John S. Duncan5Jane de Tisi6Yujiang Wang7Peter N. Taylor8CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle UniversityCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle UniversityDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College LondonDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College LondonDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College LondonDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College LondonDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College LondonCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle UniversityCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle UniversityAbstract 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.https://doi.org/10.1038/s41598-023-39700-7 |
spellingShingle | Vytene Janiukstyte Thomas W. Owen Umair J. Chaudhary Beate Diehl Louis Lemieux John S. Duncan Jane de Tisi Yujiang Wang Peter N. Taylor Normative brain mapping using scalp EEG and potential clinical application Scientific Reports |
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 |
url | https://doi.org/10.1038/s41598-023-39700-7 |
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