SynthesisThe journal of prevention of Alzheimer's disease2024
Acoustic Speech Analysis in Alzheimer's Disease: A Systematic Review and Meta-Analysis.
Synthesis in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Speech analysis for detecting depression in older adults: a systematic review.Frontiers in psychology · 2025Pooled it
- Prevalence and associated factors of kinesiophobia in postoperative patients with breast cancer: A systematic review and meta-analysis.Asia-Pacific journal of oncology nursing · 2026Review
- Mandarin speech-based early detection of SCD: a feature-fusion residual network method.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Database of Speech and Language Affected by Mild Cognitive Impairment.Scientific data · 2026Article
- Semi-Supervised Clustering for Identification of MCI and Dementia Cohorts with a Brief Digital Cognitive Assessment.Research square · 2026Article
- A Machine Learning Framework for Cognitive Impairment Screening from Speech with Multimodal Large Models.Bioengineering (Basel, Switzerland) · 2026Article
- Integrating acoustic, prosodic, and phonological features for automatic Alzheimer's detection.Frontiers in aging neuroscience · 2026Article
- Acoustic Analysis of Primary Care Patient-provider Conversations to Screen for Cognitive Impairment.medRxiv : the preprint server for health sciences · 2025Article
- Kinematic correlates of early speech motor changes in cognitively intact APOE-ε4 carriers: a preliminary study using a color-word interference task.Frontiers in neurology · 2025Article
- The collection of speech data for the assessment of cognition remotely: Balancing ethical and practical challenges.Alzheimer's & dementia (Amsterdam, Netherlands)Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe potential of biomarkers in the detection of Alzheimer's disease (AD) is prominent. Acoustics may be useful in this context but the evaluation and weighting for specific acoustic parameters on continuous speech is missing. This meta-analysis aimed to explore the significance of acoustic parameters from acoustic speech analysis on continuous speech, as a diagnostic tool for clinical AD.
methodsApplying PRISMA protocol, a comprehensive search was done in MEDLINE, Scopus, Web of Science, and CENTRAL, from 1960 to January 2024. Cross-sectional studies comparing the acoustic speech analysis between AD patients and healthy controls (HC), were taken into account. The bias risk of the included studies were examined via JBI checklist. Using Review Manager v.5.4.1, the mean differences of acoustic speech parameters among AD and HC were weighted, and the pooled analysis and the heterogeneity statistics were conducted.
resultsIn total, 1112 records (without duplicates) were obtained, and 11 papers with 7 acoustic parameters were included for this study, and 8 from 11 studies were identified with a low level of bias. Five from 7 acoustic parameters revealed significant differences among the two groups (p-values ≤ 0.01), in which for all rate-related and interruption-related acoustic parameters were the most prominent and less in temporal-related acoustic parameters.
conclusionsAlthough a small number of acoustic parameters on continuous speech could be evaluated in the detection of clinical AD, the greatest potential of acoustic biomarkers for AD appeared to exist in two of three categories. Further contributions of high-quality studies are needed to support evidence for acoustics as biomarkers for AD.
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