Automated Speech Analysis in Primary Progressive Aphasia: Diagnostic, Anatomical, and Pathological Insights

Highlights

  • Automated analysis of brief picture-description speech samples distinguishes PPA clinical variants with high accuracy (AUC ~0.90).
  • Variant-specific speech profiles correlate with distinct neuroanatomical signatures in frontal, temporal, and parietal language regions.
  • Speech profiles effectively differentiate underlying neuropathology in autopsy-confirmed cases, enhancing precision diagnosis.
  • These scalable, interpretable tools offer practical advantages for settings lacking specialized speech-language pathology resources.

Background

Comments

No comments yet. Why don’t you start the discussion?

Leave a Reply