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Related Experiment Videos

Inter-individual variability in discourse informativeness in elderly populations.

Aurélie Pistono1,2, Jérémie Pariente1,3, Catherine Bézy3

  • 1a Toulouse NeuroImaging Centre , Toulouse University, Inserm, UPS , Toulouse , France.

Clinical Linguistics & Phonetics
|April 8, 2017
PubMed
Summary

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This study examined discourse variability in healthy older adults to inform clinical tools for neurodegenerative diseases. Findings reveal distinct speaker profiles, with one group showing poorer linguistic performance, blurring the line between normal aging and pathology.

Area of Science:

  • Linguistics
  • Neuropsychology
  • Gerontology

Background:

  • Discourse production analysis is increasingly used for neurodegenerative diseases.
  • Understanding normal discourse variability in healthy elderly populations is crucial for clinical application.
  • Macrolinguistic features of discourse are key indicators of cognitive function.

Purpose of the Study:

  • To investigate macrolinguistic variability in discourse among cognitively unimpaired older adults.
  • To identify distinct speaker profiles based on discourse informativeness.
  • To explore the relationship between these profiles and socio-demographic or linguistic factors.

Main Methods:

  • Recruited 123 participants aged 55-84.
  • Conducted cluster analysis on discourse macrolinguistic features.
Keywords:
Cluster analysiscognitiondiscourse analysisinter-individual variabilitynarrative

Related Experiment Videos

  • Characterized clusters based on socio-demographics and linguistic performance (fluency, naming, syntax, spelling).

    • Main Results:

    • Identified four distinct clusters of discourse informativeness.
    • No significant socio-demographic features differentiated the clusters.
    • The 'off topic' cluster exhibited lower performance on linguistic tasks compared to other clusters.

    Conclusions:

    • Inter-individual variability in discourse exists within healthy aging populations.
    • The 'off topic' discourse profile may indicate a need to re-evaluate the boundary between normal cognitive aging and pathology.
    • Macrolinguistic analysis offers insights into subtle cognitive changes in aging individuals.