ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026
Identifying neuropathologic disease in primary progressive aphasia using narrative speech.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Neuropathology-specific language features in primary progressive aphasia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
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13 authors.
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Abstract
introductionWe present an application of artificial intelligence to narrative speech with the primary objective of predicting neuropathologic disease underlying primary progressive aphasia (PPA).
methodsUsing natural language processing toolkits, features were extracted from transcribed narratives of the Cinderella story. Machine learning ensemble models classified participants as either normal controls (NC) or as individuals with PPA and a subsequent autopsy-confirmed neuropathologic diagnosis of either Alzheimer's disease (AD) or 4-repeat tauopathy under the umbrella of frontotemporal lobar degeneration (FTLD-4Rtau).
resultsAll models successfully distinguished transcribed narratives of AD from those with FTLD-4Rtau, as well as the narratives of NC from those with PPA. Feature permutation revealed diverging patterns of contribution to classification depending upon language domain and disease pathology. DISCUSSION: The usage of artificial intelligence in the context of naturalistic language tasks may ultimately serve as a complementary aid in differential diagnosis of PPA disease pathologies and in uncovering avenues for disease-specific interventions.
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