- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02550522
Brain Computer Interface: Neuroprosthetic Control of a Motorized Exoskeleton (BCI)
Study Overview
Status
Detailed Description
Injuries to the cervical spine and to its contents, the spinal cord, cause serious neurological deficits, with loss of motor function and sensitivity of the four limbs, resulting in quadriplegia. The level of the lesion separating the area without deficits, above the lesion, from the sub-lesional area depends on the extent of the spine injury (dislocation, fracture or trauma without final displacement), may cause spinal cord injuries of varying severity, which can range from the benign to a complete section that results in complete and irreversible sensorimotor deficits. Lesions from C1 to C4 are often immediately fatal or cause diaphragmatic paralysis (innervated by the phrenic nerve whose roots originate at C4). C4-C5 paraplegia and below are therefore compatible with life as they spare respiratory autonomy, although they lead to severe permanent disabilities, creating a state of severe dependence in subjects who are often young.
The problems created by these patients are those of an extremely heavy individual, family, and societal burden in addition to the individual drama. While paraplegics, by maintaining their motor skills and sensitivity of both upper limbs and back muscles can often reintegrate and find remarkable mobility with wheelchairs, this is not the case of quadriplegics who must be provided with substitutes in order to achieve an acceptable quality of life. This project offers a highly innovative approach by means of a motorized exoskeleton that enables standing, walking and the use of the upper extremities. The validation of the first step of this concept will pave the way for developing increasingly sophisticated exoskeletal neuroprostheses, aimed at giving these patients compatible and ever greater autonomy.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Caroline SANDRE-BALLESTER, PhD
- Phone Number: + 33 4 38 78 28 51
- Email: csandreballester@chu-grenoble.fr
Study Contact Backup
- Name: Stéphan CHABARDES, MD, PhD
- Phone Number: + 33 4 76 76 75 59
- Email: SChabardes@chu-grenoble.fr
Study Locations
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Grenoble, France, 38000
- Recruiting
- CLINATEC
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Contact:
- Caroline SANDRE-BALLESTER, PhD
- Phone Number: + 33 4 38 78 28 51
- Email: csandreballester@chu-grenoble.fr
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Principal Investigator:
- Stephan CHABARDES, MD, PhD
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Contact:
- Stéphan CHABARDES, MD, PhD
- Phone Number: + 33 4 76 76 75 59
- Email: SChabardes@chu-grenoble.fr
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Male or female aged between 18 and 45 years
- Stability of neurological deficits in accrued sequelae
- Lack of adequate compensation for the deficits in terms of quality of life. In other words, the expression by the patient of a need for additional mobility, oriented towards greater autonomy
- Ambulatory or hospitalized monitoring
- Fluent in French and able to understand the study procedures, including completing the auto-questionnaires
- Registered in the French social security scheme
- Signed informed consent of the patient will be collected before inclusion in the study
Exclusion Criteria:
- Previous brain surgery,
- Chronic prescription of anticoagulant treatments,
- Impaired neuropsychological sequelae from an associated head injury,
- Depressive syndrome with or without suicide attempt.
- Alcohol or other substance dependence in the last 12 months, with abuse in the - A complete assessment (neurological and neuropsychological) will be conducted among eligible patients.
- Contraindication to Magnetoencephalography (MEG) and/or Electroencephalography (EEG)
- Contraindication to Magnetic resonance imaging (MRI)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: BCI
Brain-computer interface (BCI) platform including two implanted remotely powered ElectroCorticoGraph (ECoG) recording devices and an exoskeleton
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Number of Participants with Adverse Events
Time Frame: 4 years after surgery
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Complications associated with the chronic implantation of an extradural ECoG measuring implant.
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4 years after surgery
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Patient's level of performance in piloting the degrees of freedom of the exoskeleton
Time Frame: 4 years after surgery
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To test the feasibility of compensation of motor deficits due to spinal trauma by a motorized man-machine interface neuroprosthesis controlled by cortical commands from biomarkers extracted from the ECoG.
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4 years after surgery
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Patient's quality of life evaluation
Time Frame: 4 years after surgery
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Perception by the subject of changes in quality of life.
Decrease in dependence on care environment.
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4 years after surgery
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Benabid AL, Costecalde T, Eliseyev A, Charvet G, Verney A, Karakas S, Foerster M, Lambert A, Moriniere B, Abroug N, Schaeffer MC, Moly A, Sauter-Starace F, Ratel D, Moro C, Torres-Martinez N, Langar L, Oddoux M, Polosan M, Pezzani S, Auboiroux V, Aksenova T, Mestais C, Chabardes S. An exoskeleton controlled by an epidural wireless brain-machine interface in a tetraplegic patient: a proof-of-concept demonstration. Lancet Neurol. 2019 Dec;18(12):1112-1122. doi: 10.1016/S1474-4422(19)30321-7. Epub 2019 Oct 3.
- Larzabal C, Bonnet S, Costecalde T, Auboiroux V, Charvet G, Chabardes S, Aksenova T, Sauter-Starace F. Long-term stability of the chronic epidural wireless recorder WIMAGINE in tetraplegic patients. J Neural Eng. 2021 Sep 9;18(5). doi: 10.1088/1741-2552/ac2003.
- Detection of Error Correlates in the Motor Cortex in a Long Term Clinical Trial of ECoG based Brain Computer Interface DOI: 10.5220/0010227800260034
- Sliwowski M, Martin M, Souloumiac A, Blanchart P, Aksenova T. Decoding ECoG signal into 3D hand translation using deep learning. J Neural Eng. 2022 Mar 31;19(2). doi: 10.1088/1741-2552/ac5d69.
- Moly A, Costecalde T, Martel F, Martin M, Larzabal C, Karakas S, Verney A, Charvet G, Chabardes S, Benabid AL, Aksenova T. An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic. J Neural Eng. 2022 Mar 30;19(2). doi: 10.1088/1741-2552/ac59a0.
- Larzabal C, Auboiroux V, Karakas S, Charvet G, Benabid AL, Chabardes S, Costecalde T, Bonnet S. The Riemannian spatial pattern method: mapping and clustering movement imagery using Riemannian geometry. J Neural Eng. 2021 Apr 8;18(5). doi: 10.1088/1741-2552/abf291.
Study record dates
Study Major Dates
Study Start
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- BCI and Tetraplegia
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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