About this trial
The study aims to better understand motivation and value-based decision-making in Parkinson's patients through neurophysiology using Medtronic's Percept DBS device. By combining behavioral tasks with neural recordings, the study seeks to uncover how DBS affects motivation, particularly in relation to effort, reward, and timing.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Has Parkinson's Disease or Dystonia
Has Medtronic Percept or RC+S DBS device implanted in either GPI or STN
Has DBS device implanted either bilaterally or unilaterally
Male or female
Disqualifiers
Severe cognitive impairments
Has MOCA score below 20
Pregnancy
Age less than 18 years old
Trial design
Crossover
Treatments tested in this trial
Stimulation on
Other interventionStimulation from Percept DBS will be on while the patient is playing a decision-making game on a computer-based application.
Stimulation off
Other interventionStimulation from Percept DBS will be off while the patient is playing a decision-making game on a computer-based application.
Decision Making Task
BehavioralPatients will be playing a decision making task through a computer-based application.
Treatment groups
Trial outcomes
Primary outcomes
Percent of Risky Decisions made with Percept DBS stimulation on for Parkinson's Disease Patients
Patients' responses on the tablet will be recorded in-clinic and at home. The investigators will tally their choices from the value-based decision making game (risky versus safe decisions) and report an average of risky responses.
Percent of Risky Decisions made with Percept DBS stimulation off for Parkinson's Disease Patients
Patients' responses on the tablet will be recorded in-clinic and at home. The investigators will tally their choices from the value-based decision making game (risky versus safe decisions) and report an average of risky responses.
Reaction Time During Decision-Making Task
The investigators will measure the time it takes for patients to make each decision on the value-based decision-making task in the clinic.
Task Success Rate
The investigators will calculate the percentage of trials in which patients complete the task successfully according to predefined task performance criteria.
Secondary outcomes
Interaction Between Neural Low Frequency Power in the LFP with Reaction Time (seconds)
We will assess the effect of reaction time on low frequency power in the LFP data (theta, alpha, beta power) recorded from the Percept device with statistical modeling.
Interaction Between Neural Low Frequency Power in the LFP with Success Rate (percentage)
We will assess the effect of success rate on low frequency power in the LFP data (theta, alpha, beta power) recorded from the Percept device with statistical modeling.
Interaction Between Neural Low Frequency Power in the LFP with Force Exerted (arbitrary units)
We will assess the effect of force exerted on low frequency power in the LFP data (theta, alpha, beta power) recorded from the Percept device with statistical modeling.
Interaction Between Neural Low Frequency Power in the EEG with Reaction Time (seconds)
We will assess the effect of reaction time on low frequency power in the EEG data (theta, alpha, beta power) recorded from the Percept device with statistical modeling.
Sponsors and contacts
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University of California, San Francisco
Lead sponsor
Yale University
Collaborator
Rune Labs
Collaborator
University of Birmingham
Collaborator