Understanding Motivation in Parkinson's Patients Through Neurophysiology
MPPN
1 other identifier
interventional
70
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable parkinson-disease
Started Oct 2021
Longer than P75 for not_applicable parkinson-disease
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 17, 2021
CompletedFirst Posted
Study publicly available on registry
October 1, 2021
CompletedStudy Start
First participant enrolled
October 30, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2030
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2030
April 10, 2025
April 1, 2025
9.1 years
September 17, 2021
April 7, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (11)
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.
The values will be collected starting from admission in clinic and the at-home paradigm. Data collection and analysis of said values can take up to three years
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.
The values will be collected starting from admission in clinic and the at-home paradigm. Data collection and analysis of said values can take up to three years
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.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Task Success Rate
The investigators will calculate the percentage of trials in which patients complete the task successfully according to predefined task performance criteria.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Acceptance Rate of Risky Versus Safe Options
The proportion of trials where patients accept risky versus safe options will be calculated and compared across stimulation ON and OFF conditions.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Force Exertion During Motor Responses
Force data will be recorded during motor responses to evaluate physical engagement and motor control during task performance.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Low frequency local field potentials
Local field potentials (LFPs) will be recorded from the implanted Percept device to evaluate neural activity during decision making under different stimulation conditions. Low frequency power will be calculated during specific time intervals during the task. Cardiac artifact will be removed with electrocardiogram (ECG) measurements recorded during the same task.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Electroencephalogram (EEG) theta band power
Scalp EEG will be recorded concurrently with task performance to assess cortical activity patterns during decision-making. Average theta band power will be calculated in specific time intervals during the task.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Electroencephalogram (EEG) beta band power
Scalp EEG will be recorded concurrently with task performance to assess cortical activity patterns during decision-making. Average beta band power will be calculated in specific time intervals during the task.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Electroencephalogram (EEG) gamma band power
Scalp EEG will be recorded concurrently with task performance to assess cortical activity patterns during decision-making. Average gamma band power will be calculated in specific time intervals during the task.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Electroencephalogram (EEG) alpha band power
Scalp EEG will be recorded concurrently with task performance to assess cortical activity patterns during decision-making. Average alpha band power will be calculated in specific time intervals during the task.
The values will be collected starting from admission in clinic. Data collection and analysis of said values can take up to three years.
Secondary Outcomes (6)
Interaction Between Neural Low Frequency Power in the LFP with Reaction Time (seconds)
Analysis will occur continuously throughout the study period (up to three years) based on collected behavioral and neural data.
Interaction Between Neural Low Frequency Power in the LFP with Success Rate (percentage)
Analysis will occur continuously throughout the study period (up to three years) based on collected behavioral and neural data.
Interaction Between Neural Low Frequency Power in the LFP with Force Exerted (arbitrary units)
Analysis will occur continuously throughout the study period (up to three years) based on collected behavioral and neural data.
Interaction Between Neural Low Frequency Power in the EEG with Reaction Time (seconds)
Analysis will occur continuously throughout the study period (up to three years) based on collected behavioral and neural data.
Interaction Between Neural Low Frequency Power in the EEG with Success Rate (percentage)
Analysis will occur continuously throughout the study period (up to three years) based on collected behavioral and neural data.
- +1 more secondary outcomes
Study Arms (2)
Stimulation
EXPERIMENTALPatients will be getting standard clinically acceptable stimulation within already safety validated stimulation ranges through their Medtronic Percept device.
No Stimulation
EXPERIMENTALPatients will have stimulation turned off through their Medtronic Percept device.
Interventions
Stimulation from Percept DBS will be on while the patient is playing a decision-making game on a computer-based application.
Stimulation from Percept DBS will be off while the patient is playing a decision-making game on a computer-based application.
Patients will be playing a decision making task through a computer-based application.
Eligibility Criteria
You may qualify if:
- 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
- More than 1 month post-DBS surgery
You may not qualify if:
- Severe cognitive impairments
- Has MOCA score below 20
- Pregnancy
- Age less than 18 years old
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of California, San Franciscolead
- Yale Universitycollaborator
- Rune Labscollaborator
- University of Birminghamcollaborator
Study Sites (1)
University of California San Francisco
San Francisco, California, 94158, United States
Related Publications (6)
Rutledge RB, Skandali N, Dayan P, Dolan RJ. A computational and neural model of momentary subjective well-being. Proc Natl Acad Sci U S A. 2014 Aug 19;111(33):12252-7. doi: 10.1073/pnas.1407535111. Epub 2014 Aug 4.
PMID: 25092308BACKGROUNDRutledge RB, Skandali N, Dayan P, Dolan RJ. Dopaminergic Modulation of Decision Making and Subjective Well-Being. J Neurosci. 2015 Jul 8;35(27):9811-22. doi: 10.1523/JNEUROSCI.0702-15.2015.
PMID: 26156984BACKGROUNDEldar E, Rutledge RB, Dolan RJ, Niv Y. Mood as Representation of Momentum. Trends Cogn Sci. 2016 Jan;20(1):15-24. doi: 10.1016/j.tics.2015.07.010. Epub 2015 Nov 3.
PMID: 26545853BACKGROUNDBlain B, Rutledge RB. Momentary subjective well-being depends on learning and not reward. Elife. 2020 Nov 17;9:e57977. doi: 10.7554/eLife.57977.
PMID: 33200989BACKGROUNDTalbot J, Cutler J, Tamm M, Little SJ, Harmer CJ, Husain M, Lockwood PL, Apps MAJ. Dopamine boosts motivation for prosocial effort in Parkinson's disease. J Neurosci. 2025 Jan 2:e1593242024. doi: 10.1523/JNEUROSCI.1593-24.2024. Online ahead of print.
PMID: 39746820BACKGROUNDPisauro MA, Pollicino D, Fisher L, Apps MAJ. Neural and computational mechanisms of effort under the pressure of a deadline. bioRxiv. 2024. doi:10.1101/2024.04.17.589910.
BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Simon J Little, MBBS, PhD
University of California, San Francisco
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 17, 2021
First Posted
October 1, 2021
Study Start
October 30, 2021
Primary Completion (Estimated)
December 1, 2030
Study Completion (Estimated)
December 1, 2030
Last Updated
April 10, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will not share
Future data sharing will be covered by UCSF data sharing compliance rules.