What question did this study set out to answer?

The aim is to assess communication deficits using speech analysis to differentiate aMCI from cognitively unimpaired individuals.

April 14, 2026Open Access

Speech Analysis from a Dyadic Interaction Social Skills Assessment Task in Mild Cognitive Impairment and Normal Cognition

Puntos clave

The aim is to assess communication deficits using speech analysis to differentiate aMCI from cognitively unimpaired individuals.
Evaluation of speech patterns from dyadic interaction tasks.
Comparison of acoustic and linguistic features between aMCI and CU adults.
Analysis focused on realistic social communication scenarios.
Speech features effectively distinguish between aMCI and CU adults.
Dyadic interactions reveal nuanced communication deficits not captured in previous monologic assessments.
Findings suggest that speech analysis can aid in early identification of cognitive decline.

Resumen

Objective: Identification of amnestic mild cognitive impairment (aMCI), an established precursor to Alzheimer's disease, is critical for timely intervention prior to accrual of severe functional deficits.Communication deficits may be early markers of cognitive decline.Speech analysis, including acoustic and linguistic features, have demonstrated promise in distinguishing aMCI from cognitively unimpaired (CU) adults.Most work has relied on monologic speech samples.Dyadic interaction tasks, which reflect real-world social communication demands, are understudied.This study evaluated whether speech analysis derived from the Social Skills

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