Normative brain mapping using scalp EEG and potential clinical application

Author:

Janiukstyte Vytene,Owen Thomas W.,Chaudhary Umair J.,Diehl Beate,Lemieux Louis,Duncan John S.,de Tisi Jane,Wang Yujiang,Taylor Peter N.

Abstract

AbstractA 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.

Funder

Centre for Doctoral Training in Cloud Computing for Big Data

NIH National Institute of Neurological Disorders and Stroke

Wellcome Trust and Epilepsy Research UK

National Institute for Health Research University College London Hospitals Biomedical Research Centre

UKRI Future Leaders Fellowship

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Clinical Analysis of EEG for Cognitive Activation Using MATLAB Applications;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12

2. Computational Cognitive Analysis of ADHD Patients using Matlab Applications;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12

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