A natural language fMRI dataset for voxelwise encoding models.

ABSTRACT: Speech comprehension is a complex process that draws on humans' abilities to extract lexical information, parse syntax, and form semantic understanding. These sub-processes have traditionally been studied using separate neuroimaging experiments that attempt to isolate specific effects of interest. More recently it has become possible to study all stages of language comprehension in a single neuroimaging experiment using narrative natural language stimuli. The resulting data are richly varied at every level, enabling analyses that can probe everything from spectral representations to high-level representations of semantic meaning. We provide a dataset containing BOLD fMRI responses recorded while 8 participants each listened to 27 complete, natural, narrative stories (~6 hours). This datase

SUBMITTER: LeBel A 

PROVIDER: S-EPMC10447563 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature