Detecting Preclinical Alzheimer’s Disease Risk in Cognitively Normal Adults Using Speech Acoustics: Validation with Plasma p-Tau217 and APOE-ε4 Status
Key Points
Speech acoustics effectively capture the risk of preclinical Alzheimer's disease as defined by p-tau217 and APOE status.
The study demonstrates a link between spontaneous speech patterns and underlying Alzheimer's biomarkers, offering a new detection strategy.
Utilizing advanced methodologies for analyzing speech, the research highlights this novel approach to risk evaluation.
The findings support the potential for speech-based assessments, emphasizing the need for broader applications in clinical settings.
Abstract
Spontaneous speech acoustics capture p-tau217/APOE-defined AD risk despite preserved cognition, supporting speech as a scalable, biologically grounded biomarker for preclinical AD risk stratification.
Detecção de Risco Pré-clínico de Doença de Alzheimer em Adultos Cognitivamente Normais Usando Acústica da Fala: Validação com p-Tau217 Plasmático e Status APOE-ε4 | Synapse