Observational studyJournal of medical Internet research2022
Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study.
Observational study in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Towards a speech-based digital biomarker for cognitive impairment: speech as a proxy for cognitive assessment.NPJ digital medicine · 2026Article
- Outside the healthy bounds: reference intervals for population and individual-level medical speech analysis.Frontiers in digital health · 2026Article
- Multi-modal data analysis for early detection of alzheimer's disease and related dementias.The journal of prevention of Alzheimer's disease · 2025Article
- Plasma-based brain age as a potential biomarker for cognitive health and risk of brain-related disorders.Communications medicine · 2025Article
- Dynamic lifetime risk prediction of Alzheimer's disease with longitudinal cognitive assessment measurements.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Articulatory precision from connected speech as a marker of cognitive decline in Alzheimer's disease risk-enriched cohorts.Journal of Alzheimer's disease : JAD · 2025Article
- Exploring the Perspectives of Older Adults on a Digital Brain Health Platform Using Natural Language Processing: Cohort Study.JMIR formative research · 2024Article
- Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study.JMIR aging · 2024Article
- Association Between Acoustic Features and Brain Volumes: the Framingham Heart Study.Frontiers in dementia · 2023Article
- Severity Classification Using Dynamic Time Warping-Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study.JMIR biomedical engineering · 2023Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundHuman voice has increasingly been recognized as an effective indicator for the detection of cognitive disorders. However, the association of acoustic features with specific cognitive functions and mild cognitive impairment (MCI) has yet to be evaluated in a large community-based population.
objectiveThis study aimed to investigate the association between acoustic features and neuropsychological (NP) tests across multiple cognitive domains and evaluate the added predictive power of acoustic composite scores for the classification of MCI.
methodsThis study included participants without dementia from the Framingham Heart Study, a large community-based cohort with longitudinal surveillance for incident dementia. For each participant, 65 low-level acoustic descriptors were derived from voice recordings of NP test administration. The associations between individual acoustic descriptors and 18 NP tests were assessed with linear mixed-effect models adjusted for age, sex, and education. Acoustic composite scores were then built by combining acoustic features significantly associated with NP tests. The added prediction power of acoustic composite scores for prevalent and incident MCI was also evaluated.
resultsThe study included 7874 voice recordings from 4950 participants (age: mean 62, SD 14 years; 4336/7874, 55.07% women), of whom 453 were diagnosed with MCI. In all, 8 NP tests were associated with more than 15 acoustic features after adjusting for multiple testing. Additionally, 4 of the acoustic composite scores were significantly associated with prevalent MCI and 7 were associated with incident MCI. The acoustic composite scores can increase the area under the curve of the baseline model for MCI prediction from 0.712 to 0.755.
conclusionsMultiple acoustic features are significantly associated with NP test performance and MCI, which can potentially be used as digital biomarkers for early cognitive impairment monitoring.
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