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Stable and Independent Communication Brain-computer Interfaces

Stable and Independent Non-invasive Communication Brain-computer Interfaces Based on Error-adaptive Decoding Algorithms

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03213561
Enrollment
10
Registered
2017-07-11
Start date
2017-07-11
Completion date
2019-11-22
Last updated
2020-03-30

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

Conditions

Healthy, Locked-in Syndrome, Tetraplegia

Brief summary

People with locked-in syndrome cannot move their limbs or talk because of a motor impairment, but remain conscious and intellectually awake. Restoring the ability to communicate to people with locked-in syndrome will have a positive effect on their quality of life, will enable them to reintegrate into society and increase their capacity to lead productive and fulfilling lives. This study sims to develop a new assisted communication device based on a brain-computer interface, a system that allows the user to control a computer with his brain activity. The investigators will develop this brain-computer system for long-term stability and independent use by using adaptive decoders. The investigators will test the long-term stability and independence of this system with healthy volunteers, people with tetraplegia and people with locked-in syndrome over time periods of several months.

Interventions

DEVICEStable and Independent Brain-computer Interfaces for Communication

The participants will perform an MRI head scan, which the investigators will use to construct 3D head models of participants. The investigators will use these modele to reconstruct the activity of brain sources from EEG signals. The participants will then take part in a series of EEG recording sessions. During the initial calibration sessions, the participants will react with real or attempted movements to visual cues. The investigators will use the EEG signals from these sessions to calibrate the text-entry interface used in the validation sessions that follow. During the validation sessions, the participants will control the text-entry interface to write messages using their EEG signals.

Sponsors

University of Geneva, Switzerland
CollaboratorOTHER
Centre Hospitalier Universitaire Vaudois
CollaboratorOTHER
University Hospital, Geneva
CollaboratorOTHER
Wyss Center for Bio and Neuroengineering
CollaboratorOTHER
Tomislav Milekovic
Lead SponsorOTHER

Study design

Intervention model
SEQUENTIAL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Eligibility

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

Inclusion criteria

for healthy persons: * Older than 18 * Fluent in French, English, German or Italian * Good visual acuity Inclusion criteria for people with tetraplegia: * Older than 18 * Fluent in French, English, German or Italian * Good visual acuity * Diagnosed with spinal cord injury, brainstem stroke, spinal stroke, muscular dystrophy or other non-degenerative motor neuron disorders * Limited or no ability to use both hands - less than grade 4 muscle strength in elbow extension and wrist extension and less than grade 2 strength in finger flexor and abduction on both sides Inclusion criteria for people with locked-in syndrome: * Were fluent in French, English, German or Italian before losing the ability to speak * Enough visual capability to see large letters from a distance of around 50cm according to caretaker's or guardian's opinion

Exclusion criteria

for healthy persons: * Smokers * Substance or alcohol abuse * Neurological or psychiatric illness * History of cranio-facial surgery * Metallic implants that would prohibit the subject from having a MRI scan * Medications that may retard motor coordination and cognitive ability (such as sedatives) * Seizure disorders * Treated with anti-epileptic medications

Design outcomes

Primary

MeasureTime frameDescription
Brain-computer interface stability3 yearsThe investigators will measure the text-entry rate achieved using the brain-computer interface in each session by the number of correct characters per minute (CCPM). At the end of the study, the investigators will calculate the average brain-computer interface performance, and the correlation between the performance and the duration of brain-computer interface use (performance-use correlation). Brain-computer interface stability will be established if the performance-use correlation is greater than -0.5 CCPM/year. Primary objective of the study will be met if the brain-computer interface performance is stable for 75% of participants or more in each of three study populations, and if the average brain-computer interface performance for participants that show stable performance is greater than 5 CCPM.

Secondary

MeasureTime frameDescription
Brain-computer interface performance comparison3 yearsAt the end of the study, the investigators will compare the brain-computer interface performance and the performance-use correlation between the three study populations.

Countries

Switzerland

Outcome results

None listed

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