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Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation

We present a dataset combining human-participant high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data include within participant application of nine High-Definition tES (HD-tES) types, targeting three co...

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Autores principales: Gebodh, Nigel, Esmaeilpour, Zeinab, Datta, Abhishek, Bikson, Marom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551279/
https://www.ncbi.nlm.nih.gov/pubmed/34707095
http://dx.doi.org/10.1038/s41597-021-01046-y
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author Gebodh, Nigel
Esmaeilpour, Zeinab
Datta, Abhishek
Bikson, Marom
author_facet Gebodh, Nigel
Esmaeilpour, Zeinab
Datta, Abhishek
Bikson, Marom
author_sort Gebodh, Nigel
collection PubMed
description We present a dataset combining human-participant high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data include within participant application of nine High-Definition tES (HD-tES) types, targeting three cortical regions (frontal, motor, parietal) with three stimulation waveforms (DC, 5 Hz, 30 Hz); more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics. Experiment 1 and 2 consisted of participants performing a continuous vigilance/alertness task over three 70-minute and two 70.5-minute sessions, respectively. Demographic data were collected, as well as self-reported wellness questionnaires before and after each session. Participants received all 9 stimulation types in Experiment 1, with each session including three stimulation types, with 4 trials per type. Participants received two stimulation types in Experiment 2, with 20 trials of a given stimulation type per session. Within-participant reliability was tested by repeating select sessions. This unique dataset supports a range of hypothesis testing including interactions of tDCS/tACS location and frequency, brain-state, physiology, fatigue, and cognitive performance.
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spelling pubmed-85512792021-10-29 Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation Gebodh, Nigel Esmaeilpour, Zeinab Datta, Abhishek Bikson, Marom Sci Data Data Descriptor We present a dataset combining human-participant high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data include within participant application of nine High-Definition tES (HD-tES) types, targeting three cortical regions (frontal, motor, parietal) with three stimulation waveforms (DC, 5 Hz, 30 Hz); more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics. Experiment 1 and 2 consisted of participants performing a continuous vigilance/alertness task over three 70-minute and two 70.5-minute sessions, respectively. Demographic data were collected, as well as self-reported wellness questionnaires before and after each session. Participants received all 9 stimulation types in Experiment 1, with each session including three stimulation types, with 4 trials per type. Participants received two stimulation types in Experiment 2, with 20 trials of a given stimulation type per session. Within-participant reliability was tested by repeating select sessions. This unique dataset supports a range of hypothesis testing including interactions of tDCS/tACS location and frequency, brain-state, physiology, fatigue, and cognitive performance. Nature Publishing Group UK 2021-10-27 /pmc/articles/PMC8551279/ /pubmed/34707095 http://dx.doi.org/10.1038/s41597-021-01046-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Gebodh, Nigel
Esmaeilpour, Zeinab
Datta, Abhishek
Bikson, Marom
Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation
title Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation
title_full Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation
title_fullStr Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation
title_full_unstemmed Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation
title_short Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial electrical stimulation
title_sort dataset of concurrent eeg, ecg, and behavior with multiple doses of transcranial electrical stimulation
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551279/
https://www.ncbi.nlm.nih.gov/pubmed/34707095
http://dx.doi.org/10.1038/s41597-021-01046-y
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