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Alpha rhythm slowing in temporal lobe epilepsy across scalp EEG and MEG

Lookup NU author(s): Vyte Janiukstyte, Csaba Kozma, Dr Tom Owen, Professor Yujiang WangORCiD, Professor Peter TaylorORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024 The Author(s). EEG slowing is reported in various neurological disorders including Alzheimer's, Parkinson's and Epilepsy. Here, we investigate alpha rhythm slowing in individuals with refractory temporal lobe epilepsy compared with healthy controls, using scalp EEG and magnetoencephalography. We retrospectively analysed data from 17 (46) healthy controls and 22 (24) individuals with temporal lobe epilepsy who underwent scalp EEG and magnetoencephalography recordings as part of presurgical evaluation. Resting-state, eyes-closed recordings were source reconstructed using the standardized low-resolution brain electrographic tomography method. We extracted slow 6-9Hz and fast 10-11Hz alpha relative band power and calculated the alpha power ratio by dividing slow alpha by fast alpha. This ratio was computed for all brain regions in all individuals. Alpha oscillations were slower in individuals with temporal lobe epilepsy than controls (P<0.05). This effect was present in both the ipsilateral and contralateral hemispheres and across widespread brain regions. Alpha slowing in temporal lobe epilepsy was found in both EEG and magnetoencephalography recordings. We interpret greater slow alpha as greater deviation from health.


Publication metadata

Author(s): Janiukstyte V, Kozma C, Owen TW, Chaudhary UJ, Diehl B, Lemieux L, Duncan JS, Rugg-Gunn F, De Tisi J, Wang Y, Taylor PN

Publication type: Article

Publication status: Published

Journal: Brain Communications

Year: 2024

Volume: 6

Issue: 6

Online publication date: 05/12/2024

Acceptance date: 03/12/2024

Date deposited: 08/01/2025

ISSN (electronic): 2632-1297

Publisher: Oxford University Press

URL: https://doi.org/10.1093/braincomms/fcae439

DOI: 10.1093/braincomms/fcae439

Data Access Statement: Data and code to reproduce the main findings of the study are available here: https://zenodo.org/records/13171578


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Funding

Funder referenceFunder name
EP/L015358/1EPSRC
Epilepsy Research Institute UK
Epilepsy Research United Kingdom
National Institute for Health Research University College London Hospitals Biomedical Research Centre
National Institute of Health National Institute of Neurological Disorders and Stroke U01-NS090407 (Center for Sudden Unexpected Death in Epilepsy Research)
United Kingdom Research and Innovation (UKRI) Future Leaders Fellowship (MR/V026569/1)
UKRI Future Leaders Fellowship (MR/T04294X/1)
Wellcome Trust (WT106882)

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