Duke Health Center at Morreene Road
Durham, North Carolina, 27705, United States
NCT Number: NCT06618157
The objective of this research is to use advanced connectomic imaging models to identify disease-relevant axonal pathway targets for better tremor control in Parkinson's disease patients while avoiding undesirable side effects, with the goal of increasing precision and facilitating the choice of optimal DBS parameters for certain disease phenotypes. The investigators hypothesize that patient centered subthalamic nucleus deep brain stimulation of cerebellothalamic axonal pathways and pallidothalamic tract activation can provide better tremor control while avoiding worsening dyskinesias in patients with Parkinson's disease with significant tremor.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Durham, North Carolina, 27705, United States
Patients with Parkinson's disease (PD) can suffer from significant disability due to tremors, rigidity, bradykinesia, or motor fluctuations, in addition to non-motor symptoms of the disease. Deep brain stimulation (DBS) is the main surgical approach approved by the US Food and Drug Administration (FDA) for the treatment of medication-refractory PD. Despite recent advances, the selection of DBS parameters is based on trial-and-error experimentation by specialists over the course of months. Better understanding of the optimal network targets for symptomatic control would allow for therapy improvement and simplify the DBS programming process, increase efficiency, and possibly increase access to care.
Most studies of structural connectivity in PD have focused on the analysis of the subthalamic nucleus (STN). Previous studies analyzing structural connectivity of STN DBS have shown that specific motor symptoms benefit from the activation of different networks. Several tracts such as the cerebellothalamic tract (CBT), pallidothalamic (PT) and corticospinal tract (CST) course through the STN and might be relevant for DBS targeting. For patients with essential tremor, stimulation of the CBT might provide better tremor control, but studies in PD are lacking.
The investigators will use connectomic models to better understand the mechanistic qualities of axonal pathways in the STN in Parkinson's disease and address the need for phenotype driven stimulation in PD. Estimating targeted axonal pathways by using connectomic models may guide personalized decision-making and targeting of DBS. It has the potential to improve clinical outcomes and reduce the number of visits needed for DBS optimization.
The study involves the extraction of data collected during routine clinical care, and data collected during the intervention study.
Data collected during routine clinical care includes:
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
A deep brain stimulation plan will be created by maximizing the cerebellothalamic pathway on the patient-specific connectomic deep brain stimulation model
A deep brain stimulation plan will be created by maximizing the Pallidothalamic pathway on the patient-specific connectomic deep brain stimulation model
Patients will also be tested without any deep brain stimulation
Patient will also be tested with the deep brain stimulation clinical settings that were previously established during usual care with their neurologist
Time frame: Approximately eight hours
An Apple iPhone will be used to collect about two hours of data of each participant using accelerometer to estimate tremor duration. This technology has been integrated into the StrivePD application (Rune Labs, San Francisco, CA) and has been used in other studies at Duke University.
Time frame: Approximately eight hours
An Apple iPhone will be used to collect about two hours of data of each participant using accelerometer to estimate tremor severity. This technology has been integrated into the StrivePD application (Rune Labs, San Francisco, CA) and has been used in other studies at Duke University.
Time frame: Approximately eight hours
An Apple iPhone will be used to collect about two hours of data of each participant using accelerometer to estimate dyskinesia severity duration). This technology has been integrated into the StrivePD application (Rune Labs, San Francisco, CA) and has been used in other studies at Duke University.
Time frame: Approximately eight hours
An Apple iPhone will be used to collect about two hours of data of each participant using accelerometer to estimate dyskinesia severity. This technology has been integrated into the StrivePD application (Rune Labs, San Francisco, CA) and has been used in other studies at Duke University.
Time frame: Approximately eight hours
The Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS III) tremor severity score ranges from 0 to 4, with higher scores indicating greater severity of tremors.
Duke University
Other
Connectomic Guided Deep Brain Stimulation (DBS) for Parkinson's Disease
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