Developmental changes in individual alpha frequency: recording EEG data during public engagement events (original) (raw)

Turner, C. et al. (2023) Developmental changes in individual alpha frequency: recording EEG data during public engagement events.Imaging Neuroscience, 1, pp. 1-14. (doi: 10.1162/imag_a_00001) (PMID:37719836) (PMCID:PMC10503479)

Abstract

Statistical power in cognitive neuroimaging experiments is often very low. Low sample size can reduce the likelihood of detecting real effects (false negatives) and increase the risk of detecting non-existing effects by chance (false positives). Here we document our experience of leveraging a relatively unexplored method of collecting a large sample size for simple electroencephalography (EEG) studies: by recording EEG in the community during public engagement and outreach events. We collected data from 346 participants (189 females, age range 6-76 years) over 6 days, totalling 29 hours, at local science festivals. Alpha activity (6-15 Hz) was filtered from 30 seconds of signal, recorded from a single electrode placed between the occipital midline (Oz) and inion (Iz) while participants rested with their eyes closed. A total of 289 good quality datasets were obtained. Using this community-based approach, we were able to replicate controlled, lab-based findings: IAF increased during childhood, reaching a peak frequency of 10.28 Hz at 28.1 years old, and slowed again in middle and older age. Total alpha power decreased linearly, but the aperiodic-adjusted alpha power did not change over the lifespan. Aperiodic slopes and intercepts were highest in the youngest participants. There were no associations between these EEG indexes and self-reported fatigue, measured by the Multidimensional Fatigue Inventory. Finally, we present a set of important considerations for researchers who wish to collect EEG data within public engagement and outreach environments.

Item Type:	Articles
Additional Information:	This work was supported by the Wellcome Trust [209209/Z/17/Z]. This project also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement [No. 794649 awarded to MR, and 897941 to MB].
Status:	Published
Refereed:	Yes
Glasgow Author(s) Enlighten ID:	Thut, Professor Gregor and van der Plas, Mr Mircea and Hanzal, Mr Simon and Bracco, Dr Martina and Learmonth, Dr Gemma and Ruzzoli, Dr Manuela and Baylan, Dr Satu and Trajkovic, Jelena and Veniero, Dr Domenica and Keime, Miss Marine and Cruz San Martin, Dr Gabriela and McNeill, Dr Deborah and Turner, Mr Christopher
Authors:	Turner, C., Baylan, S., Bracco, M., Cruz, G., Hanzal, S., Keime, M., Kuye, I., McNeill, D., Ng, Z., van der Plas, M., Ruzzoli, M., Thut, G., Trajkovic, J., Veniero, D., Wale, S. P., Whear, S., and Learmonth, G.
College/School:	College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > General Practice and Primary Care College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:	Imaging Neuroscience
Publisher:	MIT Press
ISSN:	2837-6056
ISSN (Online):	2837-6056
Published Online:	19 July 2023
Copyright Holders:	Copyright © 2023 Massachusetts Institute of Technology
First Published:	First published in Imaging Neuroscience 1: 1-14
Publisher Policy:	Reproduced under a Creative Commons License
Related URLs:	Research Data

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Funder and Project Information

Brain Rhythms in Altered Vision after Stroke (BRAVAS)

Gemma Learmonth

209209/Z/17/Z

Psychology

C-A Rythms - Ctrl Code

Gregor Thut

794649

SPN - Centre for Cognitive Neuroimaging (CCNi)

Deposit and Record Details

ID Code:	302547
Depositing User:	Ms Jacqui Brannan
Datestamp:	07 Jul 2023 15:09
Last Modified:	03 Nov 2023 14:25
Date of acceptance:	5 June 2023
Date of first online publication:	19 July 2023
Date Deposited:	7 July 2023
Data Availability Statement:	Yes