Academic publications and research papers related to our work.
Speech characteristics during memory recall may detect subtle cognitive changes associated with early tau accumulation, potentially offering greater sensitivity than conventional memory scores for identifying preclinical Alzheimer's disease pathology.
Remote multi-day speech assessment is feasible, reliable, and potentially sensitive to amyloid-beta-related changes in cognitively unimpaired older adults, supporting its development as a digital biomarker for early Alzheimer's disease.
A systematic review and meta-analysis of peer-reviewed articles found that speech-based biomarkers provide moderate and balanced diagnostic performance for MCI detection, supporting speech analysis as a promising, non-invasive and cost-effective approach for early cognitive screening.
Picture description provides a promising connected-speech approach for detecting subtle language changes in MCI and AD by assessing semantic knowledge and language retrieval in a natural communication context.
Automated picture-description analysis can support scalable MCI screening through speech and language biomarkers, with substantially better discrimination for amnestic MCI than non-amnestic MCI.
