Le Petit Prince multilingual naturalistic fMRI corpus
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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Original language | English |
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Article number | 530 |
Journal / Publication | Scientific data |
Volume | 9 |
Online published | 29 Aug 2022 |
Publication status | Published - 2022 |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85136882321&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(4e3fd58c-2f4d-439e-94ea-2e53ca12d3f8).html |
Abstract
Neuroimaging using more ecologically valid stimuli such as audiobooks has advanced our understanding of natural language comprehension in the brain. However, prior naturalistic stimuli have typically been restricted to a single language, which limited generalizability beyond small typological domains. Here we present the Le Petit Prince fMRI Corpus (LPPC-fMRI), a multilingual resource for research in the cognitive neuroscience of speech and language during naturalistic listening (OpenNeuro: ds003643). 49 English speakers, 35 Chinese speakers and 28 French speakers listened to the same audiobook The Little Prince in their native language while multi-echo functional magnetic resonance imaging was acquired. We also provide time-aligned speech annotation and word-by-word predictors obtained using natural language processing tools. The resulting timeseries data are shown to be of high quality with good temporal signal-to-noise ratio and high inter-subject correlation. Data-driven functional analyses provide further evidence of data quality. This annotated, multilingual fMRI dataset facilitates future re-analysis that addresses cross-linguistic commonalities and differences in the neural substrate of language processing on multiple perceptual and linguistic levels.
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Le Petit Prince multilingual naturalistic fMRI corpus. / Li, Jixing; Bhattasali, Shohini; Zhang, Shulin et al.
In: Scientific data, Vol. 9, 530, 2022.
In: Scientific data, Vol. 9, 530, 2022.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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