Understanding Brain Changes in Alzheimer's Disease and Other Conditions
Statistical methods for longitudinal integrated mechanistic modeling of multiview data
This project creates new statistical tools to combine many types of health information over time, helping us better understand brain diseases like Alzheimer's.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Indiana University Indianapolis NIH-funded |
| Lab location | 1 site (Indianapolis, United States) |
| Project ID | NIH-11128517 on NIH RePORTER |
What this research studies
This grant aims to develop advanced statistical methods to analyze how the brain changes over time in conditions such as Alzheimer's disease and other neurodegenerative disorders. Researchers will combine various types of information, including genetic data, environmental factors, brain imaging results, and cognitive test scores. By integrating these complex datasets, the goal is to uncover the underlying mechanisms of these diseases and understand why they affect individuals differently. This work could help characterize disease heterogeneity, including sex-related differences, which is crucial for developing personalized medicine approaches.
Who could benefit from this research
Good fit: This grant focuses on developing analytical tools, so it does not directly involve patient recruitment, but the insights gained would benefit patients with neurodevelopmental or neurodegenerative conditions, particularly Alzheimer's disease.
Not a fit: Patients seeking immediate new treatments or direct clinical intervention would not find direct benefit from this foundational statistical methods development.
Why it matters
Potential benefit: If successful, this work could lead to a deeper understanding of brain diseases, helping doctors predict disease progression and develop more targeted treatments for conditions like Alzheimer's.
How similar studies have performed: While individual data elements have been analyzed longitudinally, this grant proposes novel statistical methodologies for integrating large, complex, multi-source datasets with mathematical constraints.
Where this research is happening
Indianapolis, United States
- Indiana University Indianapolis — Indianapolis, United States (Active)
Researchers
- Principal investigator: Zhao, Yi — Indiana University Indianapolis
- Study coordinator: Zhao, Yi
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 below.