Phase-encoded fMRI tracks down brainstorms of natural language processing with subsecond precision.

ABSTRACT: Natural language processing unfolds information overtime as spatially separated, multimodal, and interconnected neural processes. Existing noninvasive subtraction-based neuroimaging techniques cannot simultaneously achieve the spatial and temporal resolutions required to visualize ongoing information flows across the whole brain. Here we have developed rapid phase-encoded designs to fully exploit the temporal information latent in functional magnetic resonance imaging data, as well as overcoming scanner noise and head-motion challenges during overt language tasks. We captured real-time information flows as coherent hemodynamic waves traveling over the cortical surface during listening, reading aloud, reciting, and oral cross-language interpreting tasks. We were able to observe the timing,

SUBMITTER: Lei VLC 

PROVIDER: S-EPMC10858339 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature