Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity

Recent advances have enabled the creation of wireless, “dry” electroencephalography (EEG) recording systems, and easy-to-use engaging tasks, that can be operated repeatedly by naïve users, unsupervised in the home. Here, we evaluated the validity of dry-EEG, cognitive task gamification, and unsuperv...

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Autores principales: Barbey, Florentine M., Farina, Francesca R., Buick, Alison R., Danyeli, Lena, Dyer, John F., Islam, Md. Nurul, Krylova, Marina, Murphy, Brian, Nolan, Hugh, Rueda-Delgado, Laura M., Walter, Martin, Whelan, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372279/
https://www.ncbi.nlm.nih.gov/pubmed/35966140
http://dx.doi.org/10.3389/fdgth.2022.944753
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author Barbey, Florentine M.
Farina, Francesca R.
Buick, Alison R.
Danyeli, Lena
Dyer, John F.
Islam, Md. Nurul
Krylova, Marina
Murphy, Brian
Nolan, Hugh
Rueda-Delgado, Laura M.
Walter, Martin
Whelan, Robert
author_facet Barbey, Florentine M.
Farina, Francesca R.
Buick, Alison R.
Danyeli, Lena
Dyer, John F.
Islam, Md. Nurul
Krylova, Marina
Murphy, Brian
Nolan, Hugh
Rueda-Delgado, Laura M.
Walter, Martin
Whelan, Robert
author_sort Barbey, Florentine M.
collection PubMed
description Recent advances have enabled the creation of wireless, “dry” electroencephalography (EEG) recording systems, and easy-to-use engaging tasks, that can be operated repeatedly by naïve users, unsupervised in the home. Here, we evaluated the validity of dry-EEG, cognitive task gamification, and unsupervised home-based recordings used in combination. Two separate cohorts of participants—older and younger adults—collected data at home over several weeks using a wireless dry EEG system interfaced with a tablet for task presentation. Older adults (n = 50; 25 females; mean age = 67.8 years) collected data over a 6-week period. Younger male adults (n = 30; mean age = 25.6 years) collected data over a 4-week period. All participants were asked to complete gamified versions of a visual Oddball task and Flanker task 5–7 days per week. Usability of the EEG system was evaluated via participant adherence, percentage of sessions successfully completed, and quantitative feedback using the System Usability Scale. In total, 1,449 EEG sessions from older adults (mean = 28.9; SD = 6.64) and 684 sessions from younger adults (mean = 22.87; SD = 1.92) were collected. Older adults successfully completed 93% of sessions requested and reported a mean usability score of 84.5. Younger adults successfully completed 96% of sessions and reported a mean usability score of 88.3. Characteristic event-related potential (ERP) components—the P300 and error-related negativity—were observed in the Oddball and Flanker tasks, respectively. Using a conservative threshold for inclusion of artifact-free data, 50% of trials were rejected per at-home session. Aggregation of ERPs across sessions (2–4, depending on task) resulted in grand average signal quality with similar Standard Measurement Error values to those of single-session wet EEG data collected by experts in a laboratory setting from a young adult sample. Our results indicate that easy-to-use task-driven EEG can enable large-scale investigations in cognitive neuroscience. In future, this approach may be useful in clinical applications such as screening and tracking of treatment response.
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spelling pubmed-93722792022-08-13 Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity Barbey, Florentine M. Farina, Francesca R. Buick, Alison R. Danyeli, Lena Dyer, John F. Islam, Md. Nurul Krylova, Marina Murphy, Brian Nolan, Hugh Rueda-Delgado, Laura M. Walter, Martin Whelan, Robert Front Digit Health Digital Health Recent advances have enabled the creation of wireless, “dry” electroencephalography (EEG) recording systems, and easy-to-use engaging tasks, that can be operated repeatedly by naïve users, unsupervised in the home. Here, we evaluated the validity of dry-EEG, cognitive task gamification, and unsupervised home-based recordings used in combination. Two separate cohorts of participants—older and younger adults—collected data at home over several weeks using a wireless dry EEG system interfaced with a tablet for task presentation. Older adults (n = 50; 25 females; mean age = 67.8 years) collected data over a 6-week period. Younger male adults (n = 30; mean age = 25.6 years) collected data over a 4-week period. All participants were asked to complete gamified versions of a visual Oddball task and Flanker task 5–7 days per week. Usability of the EEG system was evaluated via participant adherence, percentage of sessions successfully completed, and quantitative feedback using the System Usability Scale. In total, 1,449 EEG sessions from older adults (mean = 28.9; SD = 6.64) and 684 sessions from younger adults (mean = 22.87; SD = 1.92) were collected. Older adults successfully completed 93% of sessions requested and reported a mean usability score of 84.5. Younger adults successfully completed 96% of sessions and reported a mean usability score of 88.3. Characteristic event-related potential (ERP) components—the P300 and error-related negativity—were observed in the Oddball and Flanker tasks, respectively. Using a conservative threshold for inclusion of artifact-free data, 50% of trials were rejected per at-home session. Aggregation of ERPs across sessions (2–4, depending on task) resulted in grand average signal quality with similar Standard Measurement Error values to those of single-session wet EEG data collected by experts in a laboratory setting from a young adult sample. Our results indicate that easy-to-use task-driven EEG can enable large-scale investigations in cognitive neuroscience. In future, this approach may be useful in clinical applications such as screening and tracking of treatment response. Frontiers Media S.A. 2022-07-29 /pmc/articles/PMC9372279/ /pubmed/35966140 http://dx.doi.org/10.3389/fdgth.2022.944753 Text en Copyright © 2022 Barbey, Farina, Buick, Danyeli, Dyer, Islam, Krylova, Murphy, Nolan, Rueda-Delgado, Walter and Whelan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Barbey, Florentine M.
Farina, Francesca R.
Buick, Alison R.
Danyeli, Lena
Dyer, John F.
Islam, Md. Nurul
Krylova, Marina
Murphy, Brian
Nolan, Hugh
Rueda-Delgado, Laura M.
Walter, Martin
Whelan, Robert
Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity
title Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity
title_full Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity
title_fullStr Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity
title_full_unstemmed Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity
title_short Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity
title_sort neuroscience from the comfort of your home: repeated, self-administered wireless dry eeg measures brain function with high fidelity
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372279/
https://www.ncbi.nlm.nih.gov/pubmed/35966140
http://dx.doi.org/10.3389/fdgth.2022.944753
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