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The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension
The “Narratives” collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling ~4.6 hours of unique stimuli (~43,0...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479122/ https://www.ncbi.nlm.nih.gov/pubmed/34584100 http://dx.doi.org/10.1038/s41597-021-01033-3 |
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| author | Nastase, Samuel A. Liu, Yun-Fei Hillman, Hanna Zadbood, Asieh Hasenfratz, Liat Keshavarzian, Neggin Chen, Janice Honey, Christopher J. Yeshurun, Yaara Regev, Mor Nguyen, Mai Chang, Claire H. C. Baldassano, Christopher Lositsky, Olga Simony, Erez Chow, Michael A. Leong, Yuan Chang Brooks, Paula P. Micciche, Emily Choe, Gina Goldstein, Ariel Vanderwal, Tamara Halchenko, Yaroslav O. Norman, Kenneth A. Hasson, Uri |
| author_facet | Nastase, Samuel A. Liu, Yun-Fei Hillman, Hanna Zadbood, Asieh Hasenfratz, Liat Keshavarzian, Neggin Chen, Janice Honey, Christopher J. Yeshurun, Yaara Regev, Mor Nguyen, Mai Chang, Claire H. C. Baldassano, Christopher Lositsky, Olga Simony, Erez Chow, Michael A. Leong, Yuan Chang Brooks, Paula P. Micciche, Emily Choe, Gina Goldstein, Ariel Vanderwal, Tamara Halchenko, Yaroslav O. Norman, Kenneth A. Hasson, Uri |
| author_sort | Nastase, Samuel A. |
| collection | PubMed |
| description | The “Narratives” collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling ~4.6 hours of unique stimuli (~43,000 words). This data collection is well-suited for naturalistic neuroimaging analysis, and is intended to serve as a benchmark for models of language and narrative comprehension. We provide standardized MRI data accompanied by rich metadata, preprocessed versions of the data ready for immediate use, and the spoken story stimuli with time-stamped phoneme- and word-level transcripts. All code and data are publicly available with full provenance in keeping with current best practices in transparent and reproducible neuroimaging. |
| format | Online Article Text |
| id | pubmed-8479122 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-84791222021-10-08 The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension Nastase, Samuel A. Liu, Yun-Fei Hillman, Hanna Zadbood, Asieh Hasenfratz, Liat Keshavarzian, Neggin Chen, Janice Honey, Christopher J. Yeshurun, Yaara Regev, Mor Nguyen, Mai Chang, Claire H. C. Baldassano, Christopher Lositsky, Olga Simony, Erez Chow, Michael A. Leong, Yuan Chang Brooks, Paula P. Micciche, Emily Choe, Gina Goldstein, Ariel Vanderwal, Tamara Halchenko, Yaroslav O. Norman, Kenneth A. Hasson, Uri Sci Data Data Descriptor The “Narratives” collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling ~4.6 hours of unique stimuli (~43,000 words). This data collection is well-suited for naturalistic neuroimaging analysis, and is intended to serve as a benchmark for models of language and narrative comprehension. We provide standardized MRI data accompanied by rich metadata, preprocessed versions of the data ready for immediate use, and the spoken story stimuli with time-stamped phoneme- and word-level transcripts. All code and data are publicly available with full provenance in keeping with current best practices in transparent and reproducible neuroimaging. Nature Publishing Group UK 2021-09-28 /pmc/articles/PMC8479122/ /pubmed/34584100 http://dx.doi.org/10.1038/s41597-021-01033-3 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 Nastase, Samuel A. Liu, Yun-Fei Hillman, Hanna Zadbood, Asieh Hasenfratz, Liat Keshavarzian, Neggin Chen, Janice Honey, Christopher J. Yeshurun, Yaara Regev, Mor Nguyen, Mai Chang, Claire H. C. Baldassano, Christopher Lositsky, Olga Simony, Erez Chow, Michael A. Leong, Yuan Chang Brooks, Paula P. Micciche, Emily Choe, Gina Goldstein, Ariel Vanderwal, Tamara Halchenko, Yaroslav O. Norman, Kenneth A. Hasson, Uri The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension |
| title | The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension |
| title_full | The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension |
| title_fullStr | The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension |
| title_full_unstemmed | The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension |
| title_short | The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension |
| title_sort | “narratives” fmri dataset for evaluating models of naturalistic language comprehension |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479122/ https://www.ncbi.nlm.nih.gov/pubmed/34584100 http://dx.doi.org/10.1038/s41597-021-01033-3 |
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