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Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
Intracranial human recordings are a valuable and rare resource of information about the brain. Making such data publicly available not only helps tackle reproducibility issues in science, it helps make more use of these valuable data. This is especially true for data collected using naturalistic tas...
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/PMC8938409/ https://www.ncbi.nlm.nih.gov/pubmed/35314718 http://dx.doi.org/10.1038/s41597-022-01173-0 |
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author | Berezutskaya, Julia Vansteensel, Mariska J. Aarnoutse, Erik J. Freudenburg, Zachary V. Piantoni, Giovanni Branco, Mariana P. Ramsey, Nick F. |
author_facet | Berezutskaya, Julia Vansteensel, Mariska J. Aarnoutse, Erik J. Freudenburg, Zachary V. Piantoni, Giovanni Branco, Mariana P. Ramsey, Nick F. |
author_sort | Berezutskaya, Julia |
collection | PubMed |
description | Intracranial human recordings are a valuable and rare resource of information about the brain. Making such data publicly available not only helps tackle reproducibility issues in science, it helps make more use of these valuable data. This is especially true for data collected using naturalistic tasks. Here, we describe a dataset collected from a large group of human subjects while they watched a short audiovisual film. The dataset has several unique features. First, it includes a large amount of intracranial electroencephalography (iEEG) data (51 participants, age range of 5–55 years, who all performed the same task). Second, it includes functional magnetic resonance imaging (fMRI) recordings (30 participants, age range of 7–47) during the same task. Eighteen participants performed both iEEG and fMRI versions of the task, non-simultaneously. Third, the data were acquired using a rich audiovisual stimulus, for which we provide detailed speech and video annotations. This dataset can be used to study neural mechanisms of multimodal perception and language comprehension, and similarity of neural signals across brain recording modalities. |
format | Online Article Text |
id | pubmed-8938409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89384092022-04-08 Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film Berezutskaya, Julia Vansteensel, Mariska J. Aarnoutse, Erik J. Freudenburg, Zachary V. Piantoni, Giovanni Branco, Mariana P. Ramsey, Nick F. Sci Data Data Descriptor Intracranial human recordings are a valuable and rare resource of information about the brain. Making such data publicly available not only helps tackle reproducibility issues in science, it helps make more use of these valuable data. This is especially true for data collected using naturalistic tasks. Here, we describe a dataset collected from a large group of human subjects while they watched a short audiovisual film. The dataset has several unique features. First, it includes a large amount of intracranial electroencephalography (iEEG) data (51 participants, age range of 5–55 years, who all performed the same task). Second, it includes functional magnetic resonance imaging (fMRI) recordings (30 participants, age range of 7–47) during the same task. Eighteen participants performed both iEEG and fMRI versions of the task, non-simultaneously. Third, the data were acquired using a rich audiovisual stimulus, for which we provide detailed speech and video annotations. This dataset can be used to study neural mechanisms of multimodal perception and language comprehension, and similarity of neural signals across brain recording modalities. Nature Publishing Group UK 2022-03-21 /pmc/articles/PMC8938409/ /pubmed/35314718 http://dx.doi.org/10.1038/s41597-022-01173-0 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/) . 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 Berezutskaya, Julia Vansteensel, Mariska J. Aarnoutse, Erik J. Freudenburg, Zachary V. Piantoni, Giovanni Branco, Mariana P. Ramsey, Nick F. Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film |
title | Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film |
title_full | Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film |
title_fullStr | Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film |
title_full_unstemmed | Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film |
title_short | Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film |
title_sort | open multimodal ieeg-fmri dataset from naturalistic stimulation with a short audiovisual film |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938409/ https://www.ncbi.nlm.nih.gov/pubmed/35314718 http://dx.doi.org/10.1038/s41597-022-01173-0 |
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