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April 16, 2026Alzheimer s & Dementia3 citationsOpen Access

Benchmarking speech biomarkers of Alzheimer's against cognitive and neural measures

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ICIvan CaroGPGonzalo PérezJBJoaquín Valdés Bize

Key Points

  • This research aims to evaluate the effectiveness of digital speech biomarkers for detecting Alzheimer's disease compared to cognitive and neuroimaging measures.
  • Examined digital speech biomarkers in Latinos for detecting Alzheimer's disease.
  • Compared digital speech biomarkers against cognitive and neuroimaging features.
  • Evaluated classifiers based on digital speech, cognitive tasks, and brain imaging.
  • Digital speech biomarkers matched or outperformed cognitive and brain classifiers.
  • Top speech features included word length, phonological neighborhood, and frequency.
  • Word length and frequency correlated with right prefrontal brain volume.

Abstract

We examined digital speech biomarkers (DSBs) for detecting AD in Latinos. DSBs were benchmarked against cognitive and neuroimaging features. DSB-based classifiers matched or outperformed cognitive and brain classifiers. Top DSBs included word length, phonological neighborhood, and frequency. Word length and frequency correlated with right (pre)frontal brain volume.

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Cite This Study

Caro et al. (2026) studied this question.

synapsesocial.com/papers/69e07cfa2f7e8953b7cbdf55https://doi.org/10.1002/alz.71365
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