Predicting Outcomes From tDCS Intervention in Parkinson' Disease Using Electroencephalographic Biomarkers and Machine Learning Approach: the PREDICT Study Protocol
Last updated on July 2021Recruitment
- Recruitment Status
- Not yet recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Electroencephalogram
- Parkinson Disease
- Transcranial Direct Current Stimulation
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentIntervention Model Description: This is a sham-controlled, double-blind randomized multicentric clinical trial that will analyze patients with a confirmed diagnosis of Parkinson disease who were subjected to tDCS associated with dual-task motor training. Whe aim to predict response to tDCS treatment using electroencephalographic biomarkers and machine learning approach.Masking: Triple (Participant, Care Provider, Investigator)Primary Purpose: Other
Participation Requirements
- Age
- Between 40 years and 70 years
- Gender
- Both males and females
Description
Not Provided
Not Provided
Tracking Information
- NCT #
- NCT04819061
- Collaborators
- Universidade Federal do Rio Grande do Norte
- Investigators
- Not Provided