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Clinical Manifestations.

Alice Stanton1, Claire L Lancaster2, Naji Tabet3

  • 1University of Sussex, Brighton, East Sussex, United Kingdom.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

An automated dashboard for verbal fluency tasks (VFTs) shows sensitivity to age-related cognitive changes. This tool aids in early detection of neurodegenerative diseases by analyzing speech patterns and cognitive performance across the lifespan.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Linguistics

Background:

  • Verbal fluency tasks (VFTs) are crucial for early detection of neurodegenerative diseases.
  • Automated VFT scoring can improve dementia diagnosis through detailed analysis of speech and cognitive metrics.
  • This study introduces an automated dashboard to quantify and visualize VFT features, enhancing accessibility and feasibility of fine-grained performance analysis.

Purpose of the Study:

  • To present an automated dashboard for quantifying and visualizing verbal fluency features.
  • To assess the tool's sensitivity to age-related cognitive changes across the lifespan.
  • To explore the potential of automated VFT metrics in enhancing dementia diagnosis.

Main Methods:

  • Seventy-five healthy adults (20-80 years) completed a VFT battery including traditional and novel tasks.
  • Audio recordings were processed by an automated dashboard to extract metrics like semantic clustering, switch reaction time costs, and pause duration.
  • Data analysis focused on age-related effects and cognitive changes revealed by automated metrics.

Main Results:

  • The automated pipeline confirmed age-related declines in conventional VFT performance.
  • Automated metrics revealed additional cognitive changes in mid-age adults, including steeper performance declines on switch tasks and greater dual-task costs.
  • Mid-age adults showed significant differences compared to younger adults in switch task performance and dual-task costs.

Conclusions:

  • The automated verbal fluency dashboard shows promise in detecting subtle cognitive changes, especially under varying executive demands.
  • Establishing normative data and integrating findings into a clinical dashboard advances sensitive diagnostic tool development for neurodegenerative diseases.
  • Future research will validate the dashboard's utility in dementia diagnostics and care by incorporating clinical populations and genetic data.