MEG-GLOUPS a curated dataset of raw magneto-encephalography (MEG) recordings from French speakers completing a pseudo-word learning task, along with resting-state recordings before and after the task. The seventeen participants pronounced visually and auditorily presented pseudo-words that followed or violated French phonotactic rules. The dataset adheres to the Brain Imaging Data Structure (BIDS) standard and includes basic preprocessing and quality checks. Comprehensive documentation covers the study’s rationale, design, data collection, and validation.
Valérie Chanoine, Snežana Todorović, Bruno Nazarian, Jean-Michel Badier, Khoubeib Kanzari, Andrea Brovelli, Sonja A. Kotz, and Elin Runnqvist.
Dataset for Evaluating the Production of Phonotactically Legal and Illegal Pseudowords
2025. Scientific Data 12 (1): 792. — @HAL