NIH-funded research Sbir 2 grant

Automated DBS programming to improve Parkinson’s care at home and clinic

Official title: DBS-Expert Pro: Automated Deep Brain Stimulation Programming Using Functional Mapping

Funded at Great Lakes Neurotechnologies · NIH-11398197 · Data updated 2026-11-12

A new software tool helps doctors and patients set deep brain stimulation parameters for movement disorders like Parkinson’s disease more quickly and accurately, in clinics or at home.

More Deep Brain Stimulation research and trials

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionGreat Lakes Neurotechnologies
NIH-funded
Lab location1 site (Independence, UNITED STATES)
Project startAugust 21, 2025
Project endJune 30, 2027
Funding year2026
Award (this year)$926,671
NIH project number5R44NS143484-02
Project IDNIH-11398197 on NIH RePORTER

Who could benefit from this research

Could help

Patients with movement disorders like Parkinson’s disease who have DBS implants and whose clinicians are managing programming.

Less likely to help

Patients without DBS implants or without clinician supervision may not benefit from this tool.

What this research studies

This project aims to turn DBS-Expert Pro into a user-friendly product that uses intelligent algorithms and motion sensor data to find the best DBS settings. It will map brain stimulation parameters to patient motor outcomes and guide programming decisions with clinician and patient devices. The goal is to reduce time in clinics, decrease patient burden, and bring expert DBS strategies to more patients across the country. Data from in-clinic and at-home assessments will be used to refine the algorithms and improve safety and efficacy. The end result should be a reliable, accessible tool that helps achieve better symptom control for people with Parkinson’s and related movement disorders.

Why it matters

Potential benefit: If successful, patients could experience steadier symptom control with less side effects and shorter clinic visits.

How similar studies have gone: Prior DBS programming work has shown benefits with guided parameter selection, but automated home-based mapping and optimization are innovative.

Where this research is happening

  • Great Lakes Neurotechnologies
    Independence, United States
    Active

Researchers

  • Principal investigator: Heldman, Dustin a. — Great Lakes Neurotechnologies
  • Study coordinator: Heldman, Dustin a.

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.