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.