Dimensional Complexity as a Brain Biomarker for Resilience in Aging and Dementia

Who could benefit from this research

What this research studies

This project tests whether a novel brain-measure called Dimensional Complexity (DC), derived from resting-state fMRI, can forecast cognitive resilience in older adults at risk for Alzheimer’s-related dementia. Using large datasets like ADNI and rrAD, the team will build and validate a DC-based prognostic model and see if it identifies who benefits most from vascular risk reduction and exercise. The work also aims to uncover the biological basis of DC by linking it to physiological markers. If successful, DC could become a tool to personalize preventative strategies for aging individuals with cognitive risk. Participation would involve imaging and related assessments in well-characterized cohorts.

Why it matters

Where this research is happening

• Henry Ford Health + Michigan State University Health Sciences
  East Lansing, United States Active

Researchers

• Principal investigator: Scheel, Norman — Henry Ford Health + Michigan State University Health Sciences
• Study coordinator: Scheel, Norman

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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.