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Task-Free Functional Language Networks: Reproducibility and Clinical Application.

Giovanni Battistella1, Valentina Borghesani2, Maya Henry2,3

  • 1Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158, Giovanni.battistella@ucsf.edu.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|December 20, 2019
PubMed
Summary

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Task-free fMRI (tf-fMRI) identifies reproducible brain networks for language functions. These intrinsic connectivity networks (ICNs) show distinct patterns related to primary progressive aphasia (PPA) variants, aiding diagnosis.

Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Neurology

Background:

  • Intrinsic connectivity networks (ICNs) from task-free fMRI (tf-fMRI) can reveal language circuits without demanding tasks.
  • Primary progressive aphasia (PPA) variants often involve damage to specific language networks.
  • Understanding these networks is crucial for diagnosing and studying neurodegenerative language disorders.

Purpose of the Study:

  • To assess tf-fMRI's ability to isolate reproducible language-related ICNs.
  • To investigate the functional relevance of these ICNs using task-based fMRI meta-analysis.
  • To determine if ICN atrophy patterns can differentiate PPA variants.

Main Methods:

  • Whole-brain seed-based correlation analyses on tf-fMRI data from healthy controls (HCs).
Keywords:
functional connectivitylanguage networksprimary progressive aphasiareproducibilityresting-state connectivity

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  • Reproducibility assessment in an independent HC cohort.
  • Comparison with task-based fMRI meta-analysis and atrophy patterns in PPA patients.

    • Main Results:

    • Identified four reproducible ICNs: dorsal articulatory-phonological, ventral semantic, speech perception, and a posterior network for written language.
    • ICNs showed high reproducibility and aligned with task-based meta-analysis findings.
    • Distinct ICN atrophy patterns correlated with specific PPA variants (nonfluent/agrammatic, semantic, logopenic).

    Conclusions:

    • Task-free fMRI effectively identifies reproducible intrinsic language networks.
    • These ICNs are spatially related to syndrome-specific atrophy in PPA.
    • tf-fMRI is a valuable tool for studying language network function in patients where task-based studies are challenging.