Le Petit Prince (LPP) multi-talker: Naturalistic 7 T fMRI and EEG dataset.

ABSTRACT: Prior neuroimaging datasets using naturalistic listening paradigms have predominantly focused on single-talker scenarios. While these studies have been invaluable for advancing our understanding of speech and language processing in the brain, they do not capture the complexities of real-world multi-talker environments. Here, we introduce the "Le Petit Prince (LPP) Multi-talker Dataset", a high-quality, naturalistic neuroimaging dataset featuring 40 minutes of electroencephalogram (EEG) and 7 T functional magnetic resonance imaging (fMRI) recordings from 26 native Mandarin Chinese speakers as they listened to both single-talker and multi-talker speech streams. Validation analyses conducted on both EEG and fMRI data demonstrate the dataset's high quality and robustness. Additionally, the dat

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12092837 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature