Researchers used nearly 2,000 fMRI scans to identify a stable, individualized language-specific brain network.
Key Details
- 1Study published in Nature Communications on August 13, 2026.
- 2Analyzed 1,957 fMRI sessions from 1,199 individuals.
- 3Detected a language-specific network even during non-language tasks and at rest.
- 4Network spanned left hemisphere frontal and temporal brain regions, with individual variability.
- 5Findings aid understanding of aphasia and may impact post-stroke communication therapy.
Why It Matters
Reliable identification of language networks through fMRI, regardless of current task, can significantly impact diagnosis and personalized intervention for patients with brain injuries affecting communication. This method advances the precision and clinical utility of neuroimaging in language function mapping.
Source
EurekAlert
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