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EEG Recordings and Analysis in Parkinson's Patients: Towards Adaptive Deep Brain Stimulation by Machine Learning

Prospective Study Evaluating the EEG Recordings and Analysis in Parkinson's Patients: Towards Adaptive Deep Brain Stimulation by Machine Learning

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05284526
Acronym
ElectroPARK
Enrollment
30
Registered
2022-03-17
Start date
2022-05-09
Completion date
2023-04-21
Last updated
2023-08-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Parkinson Disease

Keywords

EEG, Montreal Cognitive Assessment, MDS-UPDRS III, MDS-UPDRS IV

Brief 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.

Detailed description

One of the therapies for Parkinson's disease, a condition affecting nearly 150,000 patients in France, is the invasive neurosurgical implantation of high-frequency deep brain stimulation of the subthalamic nuclei (HFS-STN). Although HFS-STN is very effective, the underlying mechanisms are still relatively poorly understood, particularly at the cortical level, a region that could become an alternative therapeutic target because it is easier to access. This study aims to measure the changes induced by the antiparkinsonian drug treatment and the HFS-STN on the encoding and transmission of motor information at the level of the motor cortex, thanks to the recording of the electroencephalogram of patients. These recordings, made during the performance of certain movements, will be subjected to an analysis using machine learning methods that will make it possible to decode the identity of the movement performed more or less efficiently.

Interventions

OTHERelectroencephalogram (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

Institut National de la Santé Et de la Recherche Médicale, France
CollaboratorOTHER_GOV
Assistance Publique - Hôpitaux de Paris
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Patients : 1. Patient over 18 years of age 2. Patient meeting the clinical diagnostic criteria for Parkinson's disease (Postuma et al, Mov Dis, 2015) 3. Signed consent to participate in the study 4. Absence of cognitive impairment (MoCA\>24) 5. Affiliation to a French social security scheme Healthy volunteer : 1. Healthy volunteer over 18 years of age 2. Signed consent to participate in the study 3. Absence of cognitive disorders (MoCA\>24) 4. Affiliation to a French social security system

Exclusion criteria

Patients : 1. Patient refusal to participate 2. Pregnancy or breastfeeding in progress 3. Participation in another therapeutic interventional study 4. Patient under guardianship or curatorship 5. Person subject to a legal protection measure Healthy volunteers : 1. Refusal of the healthy volunteer to participate 2. Pregnancy or breastfeeding in progress 3. Participation in another therapeutic interventional study. 4. Patient under guardianship or curatorship 5. Person subject to a legal protection measure

Design outcomes

Primary

MeasureTime frameDescription
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).18 monthscomparison 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.

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026