Using advanced imaging and AI to assess cognitive decline in older adults
Official title: Collaborative Research: SCH: Assessment of Cognitive Decline using Multimodal Neuroimaging with Embedded Artificial Intelligence
Funded at Villanova University · NIH-11091526 · Data updated 2026-11-12
This study is working on a new mobile app that uses advanced brain imaging and AI to help doctors better understand and diagnose mild cognitive impairment in older adults, making it easier to find the right care and support for those experiencing memory issues.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Villanova University NIH-funded |
| Lab location | 1 site (Villanova, United States) |
| Project start | September 1, 2022 |
| Project end | May 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $276,280 |
| NIH project number | 5R01AG077018-04 |
| Project ID | NIH-11091526 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are older adults who may be experiencing symptoms of mild cognitive impairment or are at risk for Alzheimer's disease.
✕Less likely to help
Patients who are not experiencing cognitive decline or do not have risk factors for Alzheimer's disease may not benefit from this research.
What this research studies
This research focuses on developing a new tool to accurately diagnose and assess cognitive decline, particularly mild cognitive impairment (MCI), in older adults. By utilizing advanced neuroimaging techniques combined with artificial intelligence, the study aims to create a mobile software that can measure brain activity and behavioral responses simultaneously. This innovative approach will help identify biomarkers associated with cognitive decline, leading to better management and treatment options for affected individuals. Patients will be monitored through a combination of functional near-infrared spectroscopy and electroencephalography, providing a comprehensive understanding of their cognitive health.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment plans for individuals experiencing cognitive decline.
How similar studies have gone: Previous research has shown promise in using multimodal neuroimaging and AI for cognitive assessments, indicating that this approach could be effective.
Where this research is happening
-
Villanova University
Villanova, United States Active
Researchers
- Principal investigator: Izzetoglu, Meltem — Villanova University
- Study coordinator: Izzetoglu, Meltem
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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.