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Developmental changes in individual alpha frequency: Recording EEG data during public engagement events

Turner, Christopher; Baylan, Satu; Bracco, Martina; Cruz, Gabriela; Hanzal, Simon; Keime, Marine; Kuye, Isaac; McNeill, Deborah; Ng, Zika; van der Plas, Mircea; Ruzzoli, Manuela; Thut, Gregor; Trajkovic, Jelena; Veniero, Domenica; Wale, Sarah P; Whear, Sarah; Learmonth, Gemma

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Authors

Christopher Turner

Satu Baylan

Martina Bracco

Gabriela Cruz

Simon Hanzal

Marine Keime

Isaac Kuye

Deborah McNeill

Zika Ng

Mircea van der Plas

Manuela Ruzzoli

Gregor Thut

Jelena Trajkovic

Sarah P Wale

Sarah Whear

Gemma Learmonth



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.

Citation

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., & Learmonth, G. (2023). Developmental changes in individual alpha frequency: Recording EEG data during public engagement events

Working Paper Type Preprint
Publication Date Jun 8, 2023
Deposit Date May 15, 2025
Publicly Available Date May 19, 2025
DOI https://doi.org/10.1101/2023.01.20.524682
Public URL https://nottingham-repository.worktribe.com/output/16506713
Publisher URL https://www.biorxiv.org/content/10.1101/2023.01.20.524682v2.full

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