Abstract

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.

Measurement(s)

functional brain measurement

Technology Type(s)

functional magnetic resonance imaging

Factor Type(s)

story • native language

Sample Characteristic - Organism

Homo sapiens

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14818587

Details

Title
The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension
Author
Nastase, Samuel A 1   VIAFID ORCID Logo  ; Yun-Fei, Liu 2 ; Hillman, Hanna 1 ; Zadbood Asieh 1 ; Hasenfratz Liat 1 ; Keshavarzian Neggin 1 ; Chen, Janice 2   VIAFID ORCID Logo  ; Honey, Christopher J 2 ; Yeshurun Yaara 3 ; Regev Mor 4 ; Nguyen, Mai 1 ; Chang, Claire H, C 1   VIAFID ORCID Logo  ; Baldassano, Christopher 5 ; Lositsky Olga 6 ; Simony Erez 7 ; Chow, Michael A 8 ; Leong Yuan Chang 9 ; Brooks, Paula P 1 ; Micciche, Emily 10 ; Choe, Gina 1 ; Goldstein, Ariel 1 ; Vanderwal Tamara 11 ; Halchenko, Yaroslav O 12   VIAFID ORCID Logo  ; Norman, Kenneth A 1   VIAFID ORCID Logo  ; Hasson Uri 1   VIAFID ORCID Logo 

1  Princeton University, Princeton Neuroscience Institute and Department of Psychology, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006) 
2  Johns Hopkins University, Department of Psychological and Brain Sciences, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311) 
3  Tel Aviv University, School of Psychological Sciences, Tel Aviv, Israel (GRID:grid.12136.37) (ISNI:0000 0004 1937 0546) 
4  McGill University, Montreal Neurological Institute, Montreal, Canada (GRID:grid.14709.3b) (ISNI:0000 0004 1936 8649) 
5  Columbia University, Department of Psychology, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729) 
6  Brown University, Department of Cognitive, Linguistic and Psychological Sciences, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094) 
7  Faculty of Electrical Engineering, Holon Institute of Technology, Holon, Israel (GRID:grid.417597.9) (ISNI:0000 0000 9534 2791); Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel (GRID:grid.13992.30) (ISNI:0000 0004 0604 7563) 
8  DataCamp, Inc., New York, USA (GRID:grid.13992.30) 
9  University of California, Helen Wills Neuroscience Institute, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878) 
10  Vanderbilt University, Peabody College, Nashville, USA (GRID:grid.152326.1) (ISNI:0000 0001 2264 7217) 
11  University of British Columbia, and BC Children’s Hospital Research Institute, Department of Psychiatry, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830) 
12  Dartmouth College, Department of Psychological and Brain Sciences and Department of Computer Science, Hanover, USA (GRID:grid.254880.3) (ISNI:0000 0001 2179 2404) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-021-01033-3
ProQuest document ID
2576849711
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.