EEG Recordings and Analysis in Parkinson's Patients: Towards Adaptive Deep Brain Stimulation by Machine Learning
NCT05284526 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30
Last updated 2023-08-23
Summary
The objective of this protocol is to obtain on Parkinson's disease more accessible therapeutic targets than deep brain stimulation (HFS-STN), the neurosurgical treatment for this pathology. This study will pave the way for new forms of adaptive processing for the HFS-STN. It could become functionally coupled to a minimalist EEG centred on the motor cortex and to software for decoding, live or slightly delayed, classes of movements performed. On the one hand, this device could be used as a sensor of the quality of the information transmitted by the cortical network, thus allowing the selection of the optimal parameters of the HFS-STN on the basis of the movement decoding score. On the other hand, this device could lead to adapting the HFS-STN treatment over time by regularly calculating the recognition scores of the different movements performed and comparing them to the initial scores.
Conditions
- Parkinson Disease
Interventions
- OTHER
-
electroencephalogram (EEG) of control and parkinsonian subjects during the preparation and execution of movements
electroencephalogram (EEG) of control and parkinsonian subjects during the preparation and execution of movements
Sponsors & Collaborators
-
Institut National de la Santé Et de la Recherche Médicale, France
collaborator OTHER_GOV -
Assistance Publique - Hôpitaux de Paris
lead OTHER
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-05-09
- Primary Completion
- 2022-05-09
- Completion
- 2023-04-21
Countries
- France
Study Locations
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