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AJILE12: Long-term naturalistic human intracranial neural recordings and pose
Understanding the neural basis of human movement in naturalistic scenarios is critical for expanding neuroscience research beyond constrained laboratory paradigms. Here, we describe our Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) dataset, the largest human...
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/PMC9023453/ https://www.ncbi.nlm.nih.gov/pubmed/35449141 http://dx.doi.org/10.1038/s41597-022-01280-y |
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author | Peterson, Steven M. Singh, Satpreet H. Dichter, Benjamin Scheid, Michael Rao, Rajesh P. N. Brunton, Bingni W. |
author_facet | Peterson, Steven M. Singh, Satpreet H. Dichter, Benjamin Scheid, Michael Rao, Rajesh P. N. Brunton, Bingni W. |
author_sort | Peterson, Steven M. |
collection | PubMed |
description | Understanding the neural basis of human movement in naturalistic scenarios is critical for expanding neuroscience research beyond constrained laboratory paradigms. Here, we describe our Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) dataset, the largest human neurobehavioral dataset that is publicly available; the dataset was recorded opportunistically during passive clinical epilepsy monitoring. AJILE12 includes synchronized intracranial neural recordings and upper body pose trajectories across 55 semi-continuous days of naturalistic movements, along with relevant metadata, including thousands of wrist movement events and annotated behavioral states. Neural recordings are available at 500 Hz from at least 64 electrodes per participant, for a total of 1280 hours. Pose trajectories at 9 upper-body keypoints were estimated from 118 million video frames. To facilitate data exploration and reuse, we have shared AJILE12 on The DANDI Archive in the Neurodata Without Borders (NWB) data standard and developed a browser-based dashboard. |
format | Online Article Text |
id | pubmed-9023453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90234532022-04-28 AJILE12: Long-term naturalistic human intracranial neural recordings and pose Peterson, Steven M. Singh, Satpreet H. Dichter, Benjamin Scheid, Michael Rao, Rajesh P. N. Brunton, Bingni W. Sci Data Data Descriptor Understanding the neural basis of human movement in naturalistic scenarios is critical for expanding neuroscience research beyond constrained laboratory paradigms. Here, we describe our Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) dataset, the largest human neurobehavioral dataset that is publicly available; the dataset was recorded opportunistically during passive clinical epilepsy monitoring. AJILE12 includes synchronized intracranial neural recordings and upper body pose trajectories across 55 semi-continuous days of naturalistic movements, along with relevant metadata, including thousands of wrist movement events and annotated behavioral states. Neural recordings are available at 500 Hz from at least 64 electrodes per participant, for a total of 1280 hours. Pose trajectories at 9 upper-body keypoints were estimated from 118 million video frames. To facilitate data exploration and reuse, we have shared AJILE12 on The DANDI Archive in the Neurodata Without Borders (NWB) data standard and developed a browser-based dashboard. Nature Publishing Group UK 2022-04-21 /pmc/articles/PMC9023453/ /pubmed/35449141 http://dx.doi.org/10.1038/s41597-022-01280-y 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 Peterson, Steven M. Singh, Satpreet H. Dichter, Benjamin Scheid, Michael Rao, Rajesh P. N. Brunton, Bingni W. AJILE12: Long-term naturalistic human intracranial neural recordings and pose |
title | AJILE12: Long-term naturalistic human intracranial neural recordings and pose |
title_full | AJILE12: Long-term naturalistic human intracranial neural recordings and pose |
title_fullStr | AJILE12: Long-term naturalistic human intracranial neural recordings and pose |
title_full_unstemmed | AJILE12: Long-term naturalistic human intracranial neural recordings and pose |
title_short | AJILE12: Long-term naturalistic human intracranial neural recordings and pose |
title_sort | ajile12: long-term naturalistic human intracranial neural recordings and pose |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023453/ https://www.ncbi.nlm.nih.gov/pubmed/35449141 http://dx.doi.org/10.1038/s41597-022-01280-y |
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