Mapping language with resting-state functional magnetic resonance imaging: A study on the functional profile of the language network.

ABSTRACT: Resting-state functional magnetic resonance imaging (rsfMRI) is a promising technique for language mapping that does not require task-execution. This can be an advantage when language mapping is limited by poor task performance, as is common in clinical settings. Previous studies have shown that language maps extracted with rsfMRI spatially match their task-based homologs, but no study has yet demonstrated the direct participation of the rsfMRI language network in language processes. This demonstration is critically important because spatial similarity can be influenced by the overlap of domain-general regions that are recruited during task-execution. Furthermore, it is unclear which processes are captured by the language network: does it map rather low-level or high-level (e.g., syntactic

SUBMITTER: Branco P 

PROVIDER: S-EPMC7268076 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature