Speech Analysis Emerges as Potential Low-Cost Biomarker for Aging and Dementia
A recent study published in Science Advances introduces a large-scale 'speech clock' that can capture variations across multiple levels of aging, suggesting speech could serve as a low-cost, non-invasive biomarker for aging research. Researchers analyzed speech patterns from nearly 3,000 Spanish-speaking participants across several Latin American countries, including individuals with healthy cognition, mild cognitive impairment (MCI), Alzheimer’s disease (AD), and different forms of frontotemporal dementia (FTD). By analyzing acoustic and linguistic features, a 'speech age gap' (SAG) was calculated, indicating how old a person's speech appeared relative to their chronological age. The study found that larger SAGs were associated with poorer cognitive and clinical performance, higher levels of plasma p-Tau217 (a biomarker for AD), and more adverse social conditions. Furthermore, older-appearing speech tracked with older-appearing brain profiles and aligned with epigenetic aging, as measured by DNA methylati...