NIH-funded research R37 grant

Improving deep brain stimulation for Parkinson's disease using advanced imaging techniques

Official title: An Application of Advanced Imaging and Visualization to Clinical Deep Brain Stimulation

Funded at Duke University · NIH-11264350 · Data updated 2026-11-12

This study is looking to make deep brain stimulation for Parkinson's disease even better by using new imaging technology to help doctors find the right spot in the brain during surgery, which could lead to improved results for patients.

Quick facts

Grant typeR37 grant
Study typeNIH-funded research
Funding institutionDuke University
NIH-funded
Lab location1 site (Durham, United States)
Project startJanuary 1, 2021
Project endJanuary 31, 2028
Funding year2025
Award (this year)$388,776
NIH project number4R37NS116079-05
Project IDNIH-11264350 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are individuals diagnosed with Parkinson's disease who are considering or are candidates for deep brain stimulation therapy.

Less likely to help

Patients who do not have Parkinson's disease or those who are not candidates for deep brain stimulation may not benefit from this research.

What this research studies

This research focuses on enhancing the effectiveness of deep brain stimulation (DBS) for Parkinson's disease by utilizing advanced imaging and visualization technologies. It aims to improve the surgical targeting of the subthalamic nucleus (STN) through innovative MRI techniques and patient-specific modeling. By employing Magnetic Resonance Fingerprinting (MRF), the project seeks to create detailed 3D maps of brain structures, which will help in accurately identifying the STN during surgery. This approach could lead to better outcomes for patients undergoing DBS by optimizing the precision of the procedure.

Why it matters

Potential benefit: If successful, this research could significantly improve motor symptoms and quality of life for patients with Parkinson's disease receiving deep brain stimulation.

How similar studies have gone: Previous research has shown promising results using advanced imaging techniques in similar contexts, indicating potential for success in this novel application.

Where this research is happening

  • Duke University
    Durham, United States
    Active

Researchers

  • Principal investigator: Mcintyre, Cameron — Duke University
  • Study coordinator: Mcintyre, Cameron

Related research

Other NIH-funded projects on the same topics.

  • Cerebellar Deep Brain Stimulation for Spinocerebellar Ataxias

    A preliminary clinical trial will test delivering electrical stimulation to the cerebellum in people with spinocerebellar ataxia to see if it improves balance and coordination.

    NIH research Columbia University Health Sciences · New York, United States · NIH-11602642

  • Improving deep brain stimulation with MRI and AI

    We use brain scans and artificial intelligence to speed up and personalize deep brain stimulation settings for people getting DBS.

    NIH research Ge Medical Systems Information Technologies, INC · Niskayuna, United States · NIH-11478774

  • Adaptive deep brain stimulation to help Parkinson's patients respond to daily changes

    A new, smarter brain stimulation approach for Parkinson’s disease aims to automatically adjust therapy throughout the day to better control symptoms.

    NIH research University of California, San Francisco · San Francisco, United States · NIH-11472896

  • Automated programming for personalized deep brain stimulation in Parkinson’s disease

    Aims to create an AI-powered system that automatically tunes the brain stimulation settings for people with Parkinson’s disease to improve benefits and reduce side effects.

    NIH research Emory University · Atlanta, United States · NIH-11450554

  • Ventral pallidum brain stimulation for epilepsy

    A brain stimulation therapy in people with epilepsy whose seizures aren’t controlled by medicines or surgery is being studied to see if it can help achieve seizure freedom.

    NIH research University of Louisville · Louisville, United States · NIH-11450530

  • TinyML-powered closed-loop DBS for Parkinson's disease

    A small, energy-efficient brain-stimulation system using lightweight AI runs on an implanted device to adapt DBS in real time for people with Parkinson's disease.

    NIH research Michigan Technological University · Houghton, United States · NIH-11444690

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.