Le Petit Prince multilingual naturalistic fMRI corpus

作者：Li, Jixing^*; Bhattasali, Shohini; Zhang, Shulin; Franzluebbers, Berta; Luh, Wen-Ming; Spreng, R. Nathan; Brennan, Jonathan R.; Yang, Yiming; Pallier, Christophe; Hale, John^*

来源：Scientific Data, 2022, 9(1): 530.

DOI：10.1038/s41597-022-01625-7

• SPEECH
• COMPREHENSION

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.