Using automated speech analysis to diagnose frontotemporal dementia
Official title: Automated speech assessment for diagnosis of FTD spectrum disorders
Funded at Mayo Clinic Rochester · NIH-11082470 · Data updated 2026-11-12
This study is looking at how a new online speech test can help doctors better diagnose frontotemporal dementia and similar conditions by spotting unique speech patterns, making it easier and faster for patients to get the help they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | May 1, 2024 |
| Project end | January 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $723,711 |
| NIH project number | 5R01AG083832-02 |
| Project ID | NIH-11082470 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults under 60 years old who are experiencing speech changes or symptoms related to dementia.
✕Less likely to help
Patients with dementia types unrelated to frontotemporal degeneration may not benefit from this research.
What this research studies
This research investigates how automated speech assessments can improve the diagnosis of frontotemporal dementia (FTD) and related disorders. By utilizing a web-based speech exam, the study aims to identify specific speech characteristics that may indicate the presence of FTD. The approach leverages deep learning techniques to analyze speech patterns, potentially allowing for more accurate and timely diagnoses. This innovative method seeks to overcome limitations of previous studies by using a broader dataset that includes various disorders with similar speech changes.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of frontotemporal dementia, improving patient outcomes and treatment options.
How similar studies have gone: Previous research has shown promise in using speech analysis for diagnosing dementia, but this approach aims to address limitations in those studies, making it a novel endeavor.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Botha, Hugo — Mayo Clinic Rochester
- Study coordinator: Botha, Hugo
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.