摘要：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 diferences in the neural substrate of language processing on multiple perceptual and linguistic levels .
