@article{fe481d7a57ac4a8cb364ff59481da17f,
title = "The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension",
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.",
author = "Nastase, {Samuel A.} and Liu, {Yun Fei} and Hanna Hillman and Asieh Zadbood and Liat Hasenfratz and Neggin Keshavarzian and Janice Chen and Honey, {Christopher J.} and Yaara Yeshurun and Mor Regev and Mai Nguyen and Chang, {Claire H.C.} and Christopher Baldassano and Olga Lositsky and Erez Simony and Chow, {Michael A.} and Leong, {Yuan Chang} and Brooks, {Paula P.} and Emily Micciche and Gina Choe and Ariel Goldstein and Tamara Vanderwal and Halchenko, {Yaroslav O.} and Norman, {Kenneth A.} and Uri Hasson",
note = "Funding Information: We thank Leigh Nystrom, Mark Pinsk, Garrett McGrath, and the administrative staff at the Scully Center for the Neuroscience of Mind and Behavior and the Princeton Neuroscience Institute, as well as Elizabeth McDevitt, Anne Mennen, and members of Pygers support group. We thank Franklin Feingold for assistance in data sharing, as well as Chris Gorgolewski, Tal Yarkoni, Satrajit S. Ghosh, Avital Hahamy, Mohamed Amer, Indranil Sur, Xiao Lin, and Ajay Divarakian for helpful feedback on the data and analysis. This work was supported by the National Institutes of Health (NIH) grants R01-MH094480 (U.H.), DP1-HD091948 (U.H.), R01-MH112566 (U.H.), R01-MH112357 (K.A.N., U.H), T32-MH065214 (K.A.N), by the Defense Advanced Research Projects Agency (DARPA) Brain-to-Brain Seedling contract number FA8750-18-C-0213 (U.H.), and by the Intel Corporation. The views, opinions, and/or conclusions contained in this paper are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied of the NIH, DARPA, or Intel. Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
month = dec,
doi = "10.1038/s41597-021-01033-3",
language = "English (US)",
volume = "8",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Nature Publishing Group",
number = "1",
}