EPs in STN-DBS Optimisation (version 1.0)
Research type
Research Study
Full title
Evoked Potentials as Biomarkers for Optimising Subthalamic Nucleus Deep Brain Stimulation Therapy in Parkinson's Disease
IRAS ID
335237
Contact name
Patricia Limousin
Contact email
Sponsor organisation
UCLH NHS Foundation Trust
Duration of Study in the UK
2 years, 5 months, 30 days
Research summary
Deep brain stimulation(DBS) is an effective treatment for the motor symptoms of Parkinson's disease. DBS works by delivering electricity to malfunctioning brain circuits, interrupting the spread of incorrect information, and 're-setting' brain activity to a more normal pattern.
Optimal DBS device settings for Parkinson's disease patients are determined after surgical implantation by a clinician. Electrode locations are viewed on imaging, DBS settings are trialled, and the patient is observed. However, symptom relief and side-effects do not emerge instantly and time-consuming follow-up appointments are often required. Furthermore, new DBS systems offer multiple electrode contacts and stimulation options. The trial-and-error approach for DBS programming prolongs the journey to optimal treatment and requires more NHS time to achieve it.
Recent studies have measured characteristic signals from the brain and muscles during DBS and correlated them with therapeutic efficacy. Using these 'evoked potentials' would take a physiological approach to selecting the best DBS settings for each patient.
This study will record DBS evoked potentials to determine if these signals are useful 'real-time' biomarkers of optimal DBS therapy. Findings will help tailor the location and amount of electricity delivered to the brain to optimise therapy. This will not only provide more precise and effective treatment of Parkinson's disease but deliver optimal therapy faster.
REC name
North West - Greater Manchester East Research Ethics Committee
REC reference
25/NW/0186
Date of REC Opinion
27 Jun 2025
REC opinion
Favourable Opinion