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Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Biomarkers.

Yung-Shuan Lin1, Ya-Lun Cheng2, Chih-Ting Chang2

  • 1Taipei Veterans General Hospital, Taipei, Taiwan.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
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Summary
This summary is machine-generated.

Speech fluency analysis, particularly the number of pauses (NP), can help detect cognitive impairment early. This non-invasive method offers a cost-effective alternative to traditional screening for dementia.

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Area of Science:

  • Neurology
  • Speech Science
  • Cognitive Neuroscience

Background:

  • Dementia significantly impacts memory and speech fluency.
  • Early detection of cognitive decline is crucial but current methods are invasive and costly.
  • Speech fluency analysis presents a promising non-invasive, cost-effective approach for early cognitive impairment detection.

Purpose of the Study:

  • To identify specific speech fluency features that differentiate cognitively unimpaired (CU) individuals from those with cognitive impairment (CI).
  • To explore the potential of these features for developing self-administered screening tools for early cognitive decline.

Main Methods:

  • A cohort of Chinese-speaking participants from a neurology clinic underwent neuropsychological testing and audio-recorded speech tasks (passage reading, picture description).
  • Acoustic features including number of pauses (NP), speech rate (SR), and duration (DT) were analyzed using Praat.
  • Statistical analyses involved ANOVA, logistic regression, and ROC curve analysis.

Main Results:

  • The study included 50 CU and 55 CI participants (39 MCI, 16 dementia).
  • Number of pauses (NP) and speech rate (SR) were significantly associated with cognitive impairment in both speech tasks (p < 0.05).
  • After adjusting for covariates, NP and duration (DT) remained significant predictors of cognitive impairment (p < 0.05).

Conclusions:

  • Speech fluency features, notably the number of pauses (NP), are significantly associated with cognitive impairment.
  • These findings underscore the potential of speech fluency analysis as a viable non-invasive screening tool for early dementia detection.