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An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI
In this work, we present a dataset that combines functional magnetic imaging (fMRI) and electroencephalography (EEG) to use as a resource for understanding human brain function in these two imaging modalities. The dataset can also be used for optimizing preprocessing methods for simultaneously colle...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447527/ https://www.ncbi.nlm.nih.gov/pubmed/37612297 http://dx.doi.org/10.1038/s41597-023-02458-8 |
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author | Telesford, Qawi K. Gonzalez-Moreira, Eduardo Xu, Ting Tian, Yiwen Colcombe, Stanley J. Cloud, Jessica Russ, Brian E. Falchier, Arnaud Nentwich, Maximilian Madsen, Jens Parra, Lucas C. Schroeder, Charles E. Milham, Michael P. Franco, Alexandre R. |
author_facet | Telesford, Qawi K. Gonzalez-Moreira, Eduardo Xu, Ting Tian, Yiwen Colcombe, Stanley J. Cloud, Jessica Russ, Brian E. Falchier, Arnaud Nentwich, Maximilian Madsen, Jens Parra, Lucas C. Schroeder, Charles E. Milham, Michael P. Franco, Alexandre R. |
author_sort | Telesford, Qawi K. |
collection | PubMed |
description | In this work, we present a dataset that combines functional magnetic imaging (fMRI) and electroencephalography (EEG) to use as a resource for understanding human brain function in these two imaging modalities. The dataset can also be used for optimizing preprocessing methods for simultaneously collected imaging data. The dataset includes simultaneously collected recordings from 22 individuals (ages: 23–51) across various visual and naturalistic stimuli. In addition, physiological, eye tracking, electrocardiography, and cognitive and behavioral data were collected along with this neuroimaging data. Visual tasks include a flickering checkerboard collected outside and inside the MRI scanner (EEG-only) and simultaneous EEG-fMRI recordings. Simultaneous recordings include rest, the visual paradigm Inscapes, and several short video movies representing naturalistic stimuli. Raw and preprocessed data are openly available to download. We present this dataset as part of an effort to provide open-access data to increase the opportunity for discoveries and understanding of the human brain and evaluate the correlation between electrical brain activity and blood oxygen level-dependent (BOLD) signals. |
format | Online Article Text |
id | pubmed-10447527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104475272023-08-25 An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI Telesford, Qawi K. Gonzalez-Moreira, Eduardo Xu, Ting Tian, Yiwen Colcombe, Stanley J. Cloud, Jessica Russ, Brian E. Falchier, Arnaud Nentwich, Maximilian Madsen, Jens Parra, Lucas C. Schroeder, Charles E. Milham, Michael P. Franco, Alexandre R. Sci Data Data Descriptor In this work, we present a dataset that combines functional magnetic imaging (fMRI) and electroencephalography (EEG) to use as a resource for understanding human brain function in these two imaging modalities. The dataset can also be used for optimizing preprocessing methods for simultaneously collected imaging data. The dataset includes simultaneously collected recordings from 22 individuals (ages: 23–51) across various visual and naturalistic stimuli. In addition, physiological, eye tracking, electrocardiography, and cognitive and behavioral data were collected along with this neuroimaging data. Visual tasks include a flickering checkerboard collected outside and inside the MRI scanner (EEG-only) and simultaneous EEG-fMRI recordings. Simultaneous recordings include rest, the visual paradigm Inscapes, and several short video movies representing naturalistic stimuli. Raw and preprocessed data are openly available to download. We present this dataset as part of an effort to provide open-access data to increase the opportunity for discoveries and understanding of the human brain and evaluate the correlation between electrical brain activity and blood oxygen level-dependent (BOLD) signals. Nature Publishing Group UK 2023-08-23 /pmc/articles/PMC10447527/ /pubmed/37612297 http://dx.doi.org/10.1038/s41597-023-02458-8 Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Telesford, Qawi K. Gonzalez-Moreira, Eduardo Xu, Ting Tian, Yiwen Colcombe, Stanley J. Cloud, Jessica Russ, Brian E. Falchier, Arnaud Nentwich, Maximilian Madsen, Jens Parra, Lucas C. Schroeder, Charles E. Milham, Michael P. Franco, Alexandre R. An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI |
title | An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI |
title_full | An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI |
title_fullStr | An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI |
title_full_unstemmed | An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI |
title_short | An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI |
title_sort | open-access dataset of naturalistic viewing using simultaneous eeg-fmri |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447527/ https://www.ncbi.nlm.nih.gov/pubmed/37612297 http://dx.doi.org/10.1038/s41597-023-02458-8 |
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