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Pupillometry and electroencephalography in the digit span task
This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants recorded during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206021/ https://www.ncbi.nlm.nih.gov/pubmed/35715429 http://dx.doi.org/10.1038/s41597-022-01414-2 |
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author | Pavlov, Yuri G. Kasanov, Dauren Kosachenko, Alexandra I. Kotyusov, Alexander I. Busch, Niko A. |
author_facet | Pavlov, Yuri G. Kasanov, Dauren Kosachenko, Alexandra I. Kotyusov, Alexander I. Busch, Niko A. |
author_sort | Pavlov, Yuri G. |
collection | PubMed |
description | This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants recorded during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall. The participants either memorized or just listened to sequences of 5, 9, or 13 digits presented auditorily every 2 seconds. The dataset can be used for (1) developing algorithms for cognitive load discrimination and detection of cognitive overload; (2) studying neural (event-related potentials and brain oscillations) and peripheral (electrocardiography, photoplethysmography, and pupillometry) physiological signals during encoding and maintenance of each sequentially presented memory item; (3) correlating cognitive load and individual differences in working memory to neural and peripheral physiology, and studying the relationship between the physiological signals; (4) integration of the physiological findings with the vast knowledge coming from behavioral studies of verbal working memory in simple span paradigms. The data are shared in Brain Imaging Data Structure (BIDS) format and freely available on OpenNeuro (https://openneuro.org/datasets/ds003838). |
format | Online Article Text |
id | pubmed-9206021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92060212022-06-19 Pupillometry and electroencephalography in the digit span task Pavlov, Yuri G. Kasanov, Dauren Kosachenko, Alexandra I. Kotyusov, Alexander I. Busch, Niko A. Sci Data Data Descriptor This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants recorded during 4 minutes of eyes-closed resting and during performance of a classic working memory task – digit span task with serial recall. The participants either memorized or just listened to sequences of 5, 9, or 13 digits presented auditorily every 2 seconds. The dataset can be used for (1) developing algorithms for cognitive load discrimination and detection of cognitive overload; (2) studying neural (event-related potentials and brain oscillations) and peripheral (electrocardiography, photoplethysmography, and pupillometry) physiological signals during encoding and maintenance of each sequentially presented memory item; (3) correlating cognitive load and individual differences in working memory to neural and peripheral physiology, and studying the relationship between the physiological signals; (4) integration of the physiological findings with the vast knowledge coming from behavioral studies of verbal working memory in simple span paradigms. The data are shared in Brain Imaging Data Structure (BIDS) format and freely available on OpenNeuro (https://openneuro.org/datasets/ds003838). Nature Publishing Group UK 2022-06-17 /pmc/articles/PMC9206021/ /pubmed/35715429 http://dx.doi.org/10.1038/s41597-022-01414-2 Text en © The Author(s) 2022 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/) . |
spellingShingle | Data Descriptor Pavlov, Yuri G. Kasanov, Dauren Kosachenko, Alexandra I. Kotyusov, Alexander I. Busch, Niko A. Pupillometry and electroencephalography in the digit span task |
title | Pupillometry and electroencephalography in the digit span task |
title_full | Pupillometry and electroencephalography in the digit span task |
title_fullStr | Pupillometry and electroencephalography in the digit span task |
title_full_unstemmed | Pupillometry and electroencephalography in the digit span task |
title_short | Pupillometry and electroencephalography in the digit span task |
title_sort | pupillometry and electroencephalography in the digit span task |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206021/ https://www.ncbi.nlm.nih.gov/pubmed/35715429 http://dx.doi.org/10.1038/s41597-022-01414-2 |
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