EEG Recordings and Analysis in Parkinson's Patients: Towards Adaptive Deep Brain Stimulation by Machine Learning (ElectroPARK)
Prospective Study Evaluating the EEG Recordings and Analysis in Parkinson's Patients: Towards Adaptive Deep Brain Stimulation by Machine Learning
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Bertrand DEGOS
- Phone Number: 0148955400
- Email: bertrand.degos@aphp.fr
Study Contact Backup
- Name: Laurent VENANCE
- Phone Number: 0144271226
- Email: laurent.venance@college-de-france.fr
Study Locations
-
-
-
Bobigny, France, 93009
- DEGOS
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Patients :
- Patient over 18 years of age
- Patient meeting the clinical diagnostic criteria for Parkinson's disease (Postuma et al, Mov Dis, 2015)
- Signed consent to participate in the study
- Absence of cognitive impairment (MoCA>24)
- Affiliation to a French social security scheme
Healthy volunteer :
- Healthy volunteer over 18 years of age
- Signed consent to participate in the study
- Absence of cognitive disorders (MoCA>24)
- Affiliation to a French social security system
Exclusion Criteria:
Patients :
- Patient refusal to participate
- Pregnancy or breastfeeding in progress
- Participation in another therapeutic interventional study
- Patient under guardianship or curatorship
- Person subject to a legal protection measure
Healthy volunteers :
- Refusal of the healthy volunteer to participate
- Pregnancy or breastfeeding in progress
- Participation in another therapeutic interventional study.
- Patient under guardianship or curatorship
- Person subject to a legal protection measure
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: parkinsonian patients with and without dopaminergic drug treatment
Electroencephalogram (EEG) of 10 parkinsonian subjects with and without dopaminergic drug treatment during the preparation and execution of movements
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electroencephalogram (EEG) of control and parkinsonian subjects during the preparation and execution of movements
|
|
Experimental: parkinsonian patients with and without High-frequency stimulation of the subthalamic nucleus
Electroencephalogram (EEG) of 10 parkinsonian subjects with and without High-frequency stimulation (HFS) of the subthalamic nucleus (STN) during the preparation and execution of movements
|
electroencephalogram (EEG) of control and parkinsonian subjects during the preparation and execution of movements
|
|
Active Comparator: control subjects
Electroencephalogram (EEG) of control subjects during the preparation and execution of movements
|
electroencephalogram (EEG) of control and parkinsonian subjects during the preparation and execution of movements
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
measure the encoding capacity of the cortical networks of parkinsonian patients, with or without anti-parkinsonian drug treatment, and with or without High-frequency stimulation (HFS) of the subthalamic nucleus (STN).
Time Frame: 18 months
|
comparison of the success scores of motion recognition, obtained by the decoding algorithms, which will highlight differences in the encoding and transmission capabilities of cortical information between the different experimental groups.
|
18 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- Ashkan K, Rogers P, Bergman H, Ughratdar I. Insights into the mechanisms of deep brain stimulation. Nat Rev Neurol. 2017 Sep;13(9):548-554. doi: 10.1038/nrneurol.2017.105. Epub 2017 Jul 28.
- Liao K, Xiao R, Gonzalez J, Ding L. Decoding individual finger movements from one hand using human EEG signals. PLoS One. 2014 Jan 8;9(1):e85192. doi: 10.1371/journal.pone.0085192. eCollection 2014.
- Limousin P, Pollak P, Benazzouz A, Hoffmann D, Le Bas JF, Broussolle E, Perret JE, Benabid AL. Effect of parkinsonian signs and symptoms of bilateral subthalamic nucleus stimulation. Lancet. 1995 Jan 14;345(8942):91-5. doi: 10.1016/s0140-6736(95)90062-4.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- APHP211327
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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