Action Regulation Behavioral
Revealing the Action Regulation Mechanisms in the Human Brain
1 other identifier
interventional
50
1 country
1
Brief Summary
Parkinson's disease (PD) is a neurodegenerative disorder involving a part of the brain that is responsible for motor control, which not only results in changes or disruptions in movement, but also cognitive dysfunctions. Given that the decline of muscle control such as tremors, with difficulty walking or the ability to switch tasks once in movement, greatly affects the quality of daily life. Action regulation is a critical executive function (cognitive control over behavior), which includes actions such as suppressing activity when selecting between options, making decisions about stopping unwanted or inappropriate actions, and switching to new actions in response to environmental changes. Parkinson's disease (PD) has been shown to disrupt action inhibition which can be considered a measure to the progression of PD. The purpose of this research study is to better understand the mechanism of action regulations in PD patients and how action regulations in PD can be improved using dopaminergic treatment, which is a drug that either releases or involves dopamine, which is a neurotransmitter involved in sending signals to nerve cells. You are asked to participate in this research study because you are receiving a dopaminergic medication for treatment of your Parkinson's disease. There is currently no theory that integrates the mechanisms of action regulation into a unified framework, which this study aims to address. The researchers hope to learn more about the mechanisms of action regulation in PD patients and to help decrease action regulation disruptions in PD patients. This study will help characterize the motor behavior of PD patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable parkinson-disease
Started Apr 2024
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
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 24, 2024
CompletedFirst Submitted
Initial submission to the registry
June 26, 2024
CompletedFirst Posted
Study publicly available on registry
July 8, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
November 1, 2027
December 12, 2025
December 1, 2025
2.5 years
June 26, 2024
December 10, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Stop-Signal Task
Each patient will complete a joystick-based stop-signal task which assesses reaction time, stop reaction time, accuracy, and joystick traces.
Baseline
Switch Task
Each patient will complete a joystick-based switch task which assess reaction time, switch reaction time, accuracy, and joystick traces.
Baseline
Study Arms (2)
Parkinson's Disease Patients
EXPERIMENTALPatients that have been diagnosed with Parkinson's Disease and are responsive to levodopa medication. Patients will complete a behavioral task.
Healthy Controls
ACTIVE COMPARATORMen and women between the ages of 18-80. Spouse of PD patient who participates in this study with no history of any diagnosed neurological disease(s), including movement disorders or cognitive decline. No vision or hearing problems that impair ability to participate with the proposed tasks as assessed by the study investigators.
Interventions
A joystick is utilized to trace the movement of a visual stimulus on a computer screen. In stop signal task, the subjects are required to move a reference dot to reach to a target dot by controlling a joystick and stop their movements when the target turns red. During the switch task, subjects will be required to switch their joystick movement trajectory when the target location is switched to one of the other target locations.
Eligibility Criteria
You may qualify if:
- Diagnosis of Parkinson's Disease by a movement disorder neurologist
- Levodopa responsive with clearly defined "on" periods, with at least 30% improvement in UPDRS III scores on vs off
- Willingness and ability to complete the behavioral experiments for up 3.5 hours
- No vision or hearing problems that impair ability to participate with the proposed tasks as assessed by the study investigators
You may not qualify if:
- Patients with history of secondary Parkinsonism, stroke, or progressive central nervous system disease other than Parkinson's Disease
- Patients with a disease or condition that prevents understanding or communication of informed consent, study demands, and testing protocol including cognitive decline, diagnosed forms of dementia, significant memory impairment (MoCA\<23), or hearing loss that prevents adequate communication with researcher
- For Healthy subjects:
- No history any diagnosed neurological disease(s), including movement disorders or cognitive decline
- No vision or hearing problems that impair ability to participate with the proposed tasks as assessed by the study investigators
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Texas Southwestern Medical Center
Dallas, Texas, 75390, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor and Chair of Neurological Surgery
Study Record Dates
First Submitted
June 26, 2024
First Posted
July 8, 2024
Study Start
April 24, 2024
Primary Completion (Estimated)
November 1, 2026
Study Completion (Estimated)
November 1, 2027
Last Updated
December 12, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
Following data acquisition, de-identified data will be shared with research team at University of California, Riverside.