ReachRxResearch
Home
Research
Sign Up
  1. Home
  2. Research Hub
  3. Automated Speech Analysis to Identify Cl…

Automated Speech Analysis to Identify Clinical, Anatomical, and Pathological Variants of Primary Progressive Aphasia

JAMA Neurology·August 3Open Access
Clinical NeurologyPractice changingLogopenic Primary Progressive AphasiaNonfluent Primary Progressive AphasiaPrimary Progressive AphasiaSemantic Primary Progressive AphasiaCross-Sectional Observational StudyAutomated Speech AnalysisOlder Adult

Summary

View source

What was studied

Automated analysis of 40 linguistic and acoustic features from 1–2 minute picture-description speech recordings was evaluated in 214 participants (43 controls, 50 nonfluent PPA, 56 logopenic PPA, 65 semantic PPA) to classify PPA clinical variants, identify neuroanatomical correlates, and predict autopsy-confirmed neuropathology.

Key findings

Lasso multinomial logistic regression using 4–8 features per variant achieved AUC 0.90 (95% CI 0.84–0.97) for variant classification, replicated in external validation (AUC 0.90; 95% CI 0.83–0.97), and discriminated underlying neuropathology in an autopsy-confirmed subset (n=56) with AUC 0.90 (95% CI 0.80–0.96); speech profile scores mapped onto established neuroanatomical patterns for each variant.

Study limitations

Cross-sectional single-referral-center design limits generalizability; autopsy-confirmed neuropathological data were available in only 64 of 171 PPA participants (56 with the most common pathology analyzed); full paper text was not accessible for review of feature-level details.

Clinical implications

A short, automated voice recording task (~1–2 min) may reliably classify PPA variants and predict underlying pathology with high accuracy, offering a scalable alternative to specialist speech-language assessments. Clinicians in settings without specialized expertise could use this tool to support differential diagnosis and longitudinal monitoring of PPA.

Related Questions

Explore related topics

How does automated speech analysis compare to standard neuropsychological testing for diagnosing PPA variants?What acoustic and linguistic features best differentiate nonfluent, logopenic, and semantic PPA?Can speech biomarkers track disease progression in primary progressive aphasia clinical trials?

Publication Details

Year
2026
Journal
JAMA Neurology
Sample Size
n=214
Source
View article
Keep scrolling
More content below.
Up Next