NIH-funded research R01 grant

Which brain aneurysms are likely to grow or burst

Official title: Role of mechanical heterogeneity in cerebral aneurysm growth and rupture

Funded at University of Minnesota · NIH-11247598 · Data updated 2026-11-12

This project looks at whether differences in artery wall strength and blood flow can point to which people with brain aneurysms are at higher risk of rupture.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Minnesota
NIH-funded
Lab location1 site (Minneapolis, United States)
Project startJanuary 15, 2023
Project endDecember 31, 2027
Funding year2026
Award (this year)$491,601
NIH project number5R01NS126762-04
Project IDNIH-11247598 on NIH RePORTER

Who could benefit from this research

Could help

People diagnosed with cerebral (brain) aneurysms, especially those with unruptured aneurysms under clinical monitoring, would be the ideal candidates for related clinical participation.

Less likely to help

People without brain aneurysms or those whose aneurysms have already been clipped or coiled surgically are unlikely to benefit directly from this research.

What this research studies

From my perspective as a patient, the team is combining computer models of blood flow with what is known about how artery walls fail to look for weak or different spots in aneurysms. They will incorporate variations in tissue mechanics—called mechanical heterogeneity—into models that link blood flow patterns to wall behavior. The goal is to find markers that separate stable aneurysms from those more likely to grow or burst. If successful, the work would make predictions more accurate than current shape- or flow-based models.

Why it matters

Potential benefit: If successful, this work could help doctors decide which aneurysms need treatment and which can be safely monitored, reducing unnecessary procedures and preventing ruptures.

How similar studies have gone: Previous computer models using aneurysm shape and blood flow have had limited clinical accuracy, and adding mechanical heterogeneity is a newer approach that aims to improve predictions.

Where this research is happening

  • University of Minnesota
    Minneapolis, United States
    Active

Researchers

  • Principal investigator: Alford, Patrick W — University of Minnesota
  • Study coordinator: Alford, Patrick W

Related research

Other NIH-funded projects on the same topics.

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.
Last reviewed 2026-11-14 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.