Coordinated data and MRI support for white matter–related thinking and memory problems

Statistics Core

NIH-funded research University of California at Davis · NIH-11320708

This project builds tools to combine brain scans and clinical information from people with memory or thinking concerns so white matter damage can be measured more precisely.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionUniversity of California at Davis NIH-funded
Lab location1 site (Davis, United States)
Project IDNIH-11320708 on NIH RePORTER

What this research studies

You would be part of a program that brings together MRI scans and health data from people with cognitive complaints across multiple clinics. The team will clean and harmonize imaging and clinical data so they can be pooled safely and consistently. Machine learning and biomechanical models will be used to quantify white matter injury more precisely, while statisticians test key questions and create risk scores for cognitive decline. De-identified data and tools will be shared through a research portal so other researchers can use the results.

Who could benefit from this research

Good fit: Ideal candidates are adults who have memory or thinking concerns and who have (or can obtain) a brain MRI and agree to share clinical data for research.

Not a fit: People without cognitive symptoms, those unable to undergo MRI, or those not treated at participating sites may not directly benefit from this project's activities.

Why it matters

Potential benefit: If successful, this work could help identify people at higher risk of cognitive decline and provide better measures of white matter damage to guide future care and research.

How similar studies have performed: Previous projects have harmonized imaging and used machine learning to detect brain lesions, but combining deep learning, biomechanical modeling, and multisite risk-score development is a relatively new and growing approach.

Where this research is happening

Davis, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.