Using deep learning to predict mild cognitive impairment and Alzheimer's dementia
Official title: Deep learning for prediction of Mild Cognitive Impairment and Dementia of the Alzheimer's type
Funded at University of Michigan at Ann Arbor · NIH-10846599 · Data updated 2026-11-12
This study is working on a smart computer program that looks at brain scans to help doctors spot early signs of mild cognitive impairment and Alzheimer's, so they can provide better care for patients like you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | June 1, 2023 |
| Project end | February 28, 2026 |
| Funding year | 2024 |
| Award (this year) | $185,034 |
| NIH project number | 5R21AG082204-02 |
| Project ID | NIH-10846599 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are older adults, particularly those showing early signs of cognitive decline or at risk for Alzheimer's disease.
✕Less likely to help
Patients with advanced Alzheimer's disease or other forms of dementia may not benefit from this research as it focuses on early detection.
What this research studies
This research aims to develop a deep learning model that analyzes functional neuroimaging data to better understand and predict mild cognitive impairment and Alzheimer's dementia. By leveraging large datasets and advanced computational techniques, the project seeks to identify patterns in brain activity that can indicate the presence of these conditions. The approach focuses on creating a system that can generalize across different individuals and conditions, making it applicable to a wide range of patients. This innovative methodology could lead to earlier and more accurate diagnoses, ultimately improving patient care.
Why it matters
Potential benefit: If successful, this research could enable earlier detection and better management of Alzheimer's disease and related dementias.
How similar studies have gone: Previous research using deep learning in neuroimaging has shown promise, indicating that this approach could be effective in predicting cognitive decline.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Peltier, Scott James — University of Michigan at Ann Arbor
- Study coordinator: Peltier, Scott James
Related research
Other NIH-funded projects on the same topics.
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Insomnia, Depression, and Sleep Medications in Mild Cognitive Impairment Leading to Dementia
This project looks at how sleep problems and depression, along with the medicines used to treat them, may affect the progression from mild cognitive issues to dementia in older adults.
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Age-related Dementia and Brain Pathology in the Oldest-Old: A Long-Term Lifecourse Study
A large, long-running study is following people aged 90 and up to understand how Alzheimer’s disease and related brain changes develop over many years.
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Screening tool to flag mild cognitive impairment and early dementia in home healthcare
A new AI-based screening tool analyzes everyday speech during home healthcare visits to help identify older adults who may have mild cognitive impairment or early dementia.
-
Cochlear Implants for Hearing Loss and Memory in Older Adults
This project looks at how cochlear implants and hearing aids help older adults with age-related hearing loss and memory concerns in their daily lives.
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.