Using Advanced Algorithms to Optimize Deep Brain Stimulation for Essential Tremor Treatment

What this Trial Is About

Researchers are studying an approach to improve programming of deep brain stimulation DBS systems for people with essential tremor ET, a condition causing postural and action tremors. This study focuses on using subject-specific computational models to predict brain pathways activated by DBS targeting the ventralis intermedius nucleus Vim of the thalamus. The goal is to help clinicians find the most effective stimulation settings more efficiently than the current laborious process. Participants already implanted with a DBS lead in the Vim as part of their routine care will be involved. The study will use advanced brain imaging techniques like 7-Tesla MRI and diffusion tensor imaging to build personalized neuron models. These models will guide a computational algorithm to identify optimal stimulation settings within FDA-approved safety limits. Settings will be tested during follow-up visits every six months for up to two years, comparing different target areas within the motor thalamus to find the most effective tremor suppression. During the study, participants will attend routine clinical follow-up sessions where clinicians will evaluate the effects of the DBS settings using the Essential Tremor Rating Assessment Scale TETRAS and quality of life questionnaires. Outcome measures include therapeutic window size, objective tremor assessments, and quality of life at 24 months. Researchers will monitor safety and treatment effectiveness throughout, ensuring stimulation remains within approved limits while assessing improvements in tremor control and participant well-being.

Algorithms for Programming DBS Systems for ET