Reinstatement of antecedent-related neural representation during pronoun resolution

This collection consists of preprocessed MEG data with relevant preprocessing and analysis scripts to study the reinstatement of antecedent-related neural representation during pronoun resolution, in the context of doctoral research by Rong Ding, at the Max Planck Institute for Psycholinguistics. The preprocessed dataset contains 26 native Dutch participants listening to naturalistic audiobook stories.

In the study, we tested the hypothesis that neural dynamic patterns, especially in delta frequency range, underlying referential meaning representation would be reinstated during pronoun resolution. By leveraging neural decoding techniques (i.e., representation similarity analysis) on an MEG dataset acquired during a naturalistic story-listening task, we provide evidence that delta-band activity underlies referential meaning representation. Our findings suggest that, during spoken language comprehension, endogenous linguistic representations such as referential concepts may be proactively retrieved and represented via activation of their underlying dynamic neural patterns.

Raw data on which the study was conducted are available at: https://doi.org/10.34973/a65x-p009.