Leveraging Digital Speech Features for Early Identification of Alzheimer's Disease: Associations with structural and functional brain changes over time

AAIC 2025 Abstract

Abstract

Background: Speech features extracted from automated remote cognitive assessments correlate with performance on traditional cognitive tasks in individuals at risk of Alzheimer's Disease (AD), demonstrating their potential to support early diagnosis.

The paper

Li Q, Köhler S, König A et al.

AAIC 2025 Abstract · 24 Dec 2025 · CC BY

Presented at AAIC 2025

doi.org/10.1002/alz70857_098534