Locked-In SyndromeUNPNCT02224469
First Study With a Brain Implant to Help Locked-in Patients Communicate at Home
A study testing ECoG (electrocorticography) sensing in people with Locked-In Syndrome, run by UMC Utrecht at 1 site in Netherlands.
Trial summary
In this study a new means of communication for people with locked-in syndrome will be tested. The investigators will record brain signals directly from the surface of the brain by means of a completely implantable system. Read more about this study
- Who is it for?
- Ages 18 to 75 years
- Conditions the study is for
- Locked-In Syndrome
- What is being tested?
- ECoG (electrocorticography) sensing
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 6 participants
- Where
- 1 siteNetherlands
- Study dates
- 9 Sep 2015to 14 Feb 2024
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 75 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age 18 - 75
- Locked-in status (i.e. severely paralyzed with communication problems)
- in case of trauma or stroke: at least 1 year after the event
- in case of a neuromuscular disease: slow progression allowed
- Rudimentary form of communication possible (e.g. through assistive technology, eye blinks or eye movements, severely impaired speech)
- Mentally and physically capable of giving informed consent
Show all 15Show fewer
- Lives in or close to the Netherlands
- MR compatible
- able to lie flat in the scanner
- no metal objects in or attached to the body
- no claustrophobia
- Visus (largely) intact
- Cognition intact (IQ>80)
- Compatible with implantation procedure
- good respiratory function or stable respiratory situation using ventilation assistance
Who cannot join
- Strong and frequent spasms
- Vital indication for blood thinners
- Current brain tumor or history of tumor resection
- Quick medical or neurological deterioration
- Patients who are considered legally incapable (and who therefore will not be able to give informed consent)
- Current or recent psychiatric disorder
- Catabolic state
- Allergy to the materials of the implant
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Utrecht Neural Prosthesis (UNP): A Pilot Study on Controllability of Brain Signals and Application in locked-in Patients
In this study a new means of communication for people with locked-in syndrome will be tested. The investigators will record brain signals directly from the surface of the brain by means of a completely implantable system. These brain signals are fed wirelessly into an assistive technology device and will control this device for communication and environmental control at the users home.
Read the detailed description
In this pilot study we will provide locked-in people with a new means of communication which has not been possible up to now. For the first time, we will test whether we can record and decode neural signals obtained directly from the brain, for control over a computer. The target population is people with locked-in syndrome. For these patients there is no technique available to allow them to communicate unaided. We have developed a brain-computer interface (BCI) system that can read activity directly from the brain, and can convert the activity to a digital switch. The system, called the Utrecht Neural Prosthesis (UNP), consists of an implantable amplifier for electrical brain signals, a set of electrodes positioned on the surface of the brain and a wireless receiver, placed outside of the body. A dedicated computer will convert the signals to electrical pulses for standard Assistive Technology devices. The UNP can in principle enable the patient to engage in any activity that is offered by commercial Assistive Technology companies that can be performed with switch signals, for instance operating home apparatus or writing text. Most importantly, we aim to achieve unsupervised function of the BCI, meaning that the patient will be able to use it at home without the aid of researchers or other experts (but with minimal caregiver assistance).
- Conditions
- Locked-In Syndrome
- Being tested
- ECoG (electrocorticography) sensing
- Keywords
- Brain-Computer Interface, Motor Cortex, Dorsolateral Prefrontal Cortex, Quality of Life
- Medical subject headings
- Locked-In Syndrome
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ECoG (electrocorticography) sensingDevice
Also called Activa PC + S
Implant electrodes and sensing device and use for control of Assistive Technology
| Study group | Role | What they receive |
|---|---|---|
| ECoG (electrocorticography) sensing | Experimental | Use ECoG-based Brain Computer interface to control assistive technology Receives: Device: ECoG (electrocorticography) sensing |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of Participants Reaching Proficiency Level 2: Unsupervised BCI Performance
The system correctly detects a switch brain signal within 10 sec in a real life, cognitively engaging context, such as operating a spelling device. A formal test has been designed, in which the patient has to copy a 30 character sentence within 30 minutes, with a margin of 20% faulty characters.
Measured: up to 1 year
Secondary outcomes (4)
Patient Device Satisfaction
The Québec User Evaluation of Satisfaction with Assistive Technology (QUEST) 2.0, a self-report or interview-based scale, designed to evaluate a person's satisfaction with a wide range of assistive technology, consisting of a 12 questions scale from 1(very dissatisfied) - 4(very satisfied). Reported is mean score. Higher scores are better.
Measured: 8 years
Effects Device on Quality of Life
Psychosocial Impact of Assistive Devices Scale (PIADS), a 26-item, self-report questionnaire designed to assess the effects of an assistive device on functional independence, well-being, and quality of life. Score range is -3 to 3, larger values indicate a more positive effect of the device. Outcome is averaged over three domains (competence, adaptability, and self-esteem)
Measured: 3 years
Quality of Life by Scoring Subjective Well-being in ACSA Score
Anamnestic Comparative Self-Assessment (ACSA), a self-anchoring rating scale for subjective well-being score, ranges from -5 (worst period in life) to +5 (best period in life). Higher scores are a better outcome.
Measured: 4.5 years
Hours of Use of BCI Device Per Day
The hours of use of the BCI device as determined by logging within the home use software. Only hours of use with full featured home use software and appropriate signal amplitude. The period where signal amplitude declined, possibly due to participants disease progression, is not taken into account.
Measured: Time frame starts when participant receives a system with the full feature set for 24h home use and ends when signal decline starts influencing hours of use per day, an average of 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted25 Aug 2014 (estimated)
- Study start9 Sep 2015
- Primary completion14 Feb 2024
- Study completion14 Feb 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (10)Papers the sponsor has linked to this study.
- Other trials for Locked-In SyndromeStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 6 participants (actual)
Sponsor and investigators
- Lead sponsor
- UMC Utrecht
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Erik Aarnoutse, PhD, UMC Utrecht
- Investigators
- Nick F Ramsey, PhD, Principal investigator, UMC Utrecht
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02224469
- Sponsor's protocol ID
- UMCU 12-370
- Other IDs
- STW 12803
- Acronym
- UNP
- Status last verified
- Nov 2025
- First submitted
- 21 Aug 2014
- Last updated
- 3 Dec 2025
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- Yes
- Individual data sharing
- Yes: selected datasets will be available through a public repository after publication of results
Publications
Vansteensel MJ, Hermes D, Aarnoutse EJ, Bleichner MG, Schalk G, van Rijen PC, Leijten FS, Ramsey NF. Brain-computer interfacing based on cognitive control. Ann Neurol. 2010 Jun;67(6):809-16. doi: 10.1002/ana.21985.
PubMed 20517943Torres Valderrama A, Paclik P, Vansteensel MJ, Aarnoutse EJ, Ramsey NF. Error probability of intracranial brain computer interfaces under non-task elicited brain states. Clin Neurophysiol. 2012 Dec;123(12):2392-401. doi: 10.1016/j.clinph.2012.05.006. Epub 2012 Jun 12.
PubMed 22695047Vansteensel MJ, Pels EGM, Bleichner MG, Branco MP, Denison T, Freudenburg ZV, Gosselaar P, Leinders S, Ottens TH, Van Den Boom MA, Van Rijen PC, Aarnoutse EJ, Ramsey NF. Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS. N Engl J Med. 2016 Nov 24;375(21):2060-2066. doi: 10.1056/NEJMoa1608085. Epub 2016 Nov 12.
PubMed 27959736Freudenburg ZV, Branco MP, Leinders S, van der Vijgh BH, Pels EGM, Denison T, van den Berg LH, Miller KJ, Aarnoutse EJ, Ramsey NF, Vansteensel MJ. Sensorimotor ECoG Signal Features for BCI Control: A Comparison Between People With Locked-In Syndrome and Able-Bodied Controls. Front Neurosci. 2019 Oct 16;13:1058. doi: 10.3389/fnins.2019.01058. eCollection 2019.
PubMed 31680806Pels EGM, Aarnoutse EJ, Leinders S, Freudenburg ZV, Branco MP, van der Vijgh BH, Snijders TJ, Denison T, Vansteensel MJ, Ramsey NF. Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis. Clin Neurophysiol. 2019 Oct;130(10):1798-1803. doi: 10.1016/j.clinph.2019.07.020. Epub 2019 Jul 27.
PubMed 31401488Pels EGM, Aarnoutse EJ, Ramsey NF, Vansteensel MJ. Estimated Prevalence of the Target Population for Brain-Computer Interface Neurotechnology in the Netherlands. Neurorehabil Neural Repair. 2017 Jul;31(7):677-685. doi: 10.1177/1545968317714577. Epub 2017 Jun 22.
PubMed 28639486Leinders S, Vansteensel MJ, Branco MP, Freudenburg ZV, Pels EGM, Van der Vijgh B, Van Zandvoort MJE, Ramsey NF, Aarnoutse EJ. Dorsolateral prefrontal cortex-based control with an implanted brain-computer interface. Sci Rep. 2020 Sep 22;10(1):15448. doi: 10.1038/s41598-020-71774-5.
PubMed 32963279Leinders S, Vansteensel MJ, Piantoni G, Branco MP, Freudenburg ZV, Gebbink TA, Pels EGM, Raemaekers MAH, Schippers A, Aarnoutse EJ, Ramsey NF. Using fMRI to localize target regions for implanted brain-computer interfaces in locked-in syndrome. Clin Neurophysiol. 2023 Nov;155:1-15. doi: 10.1016/j.clinph.2023.08.003. Epub 2023 Aug 18.
PubMed 37657190Vansteensel MJ, Leinders S, Branco MP, Crone NE, Denison T, Freudenburg ZV, Geukes SH, Gosselaar PH, Raemaekers M, Schippers A, Verberne M, Aarnoutse EJ, Ramsey NF. Longevity of a Brain-Computer Interface for Amyotrophic Lateral Sclerosis. N Engl J Med. 2024 Aug 15;391(7):619-626. doi: 10.1056/NEJMoa2314598.
PubMed 39141854Leinders S, Aarnoutse EJ, Branco MP, Freudenburg ZV, Geukes SH, Schippers A, Verberne MSW, van den Boom M, van der Vijgh B, Crone NE, Denison T, Ramsey NF, Vansteensel MJ. DO NOT LOSE SLEEP OVER IT: IMPLANTED BRAIN-COMPUTER INTERFACE FUNCTIONALITY DURING NIGHTTIME IN LATE-STAGE AMYOTROPHIC LATERAL SCLEROSIS. medRxiv [Preprint]. 2024 Oct 15:2024.10.11.24315027. doi: 10.1101/2024.10.11.24315027.
PubMed 39484239
Study at a glance
From the registry record, last updated by the sponsor on 3 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Utrecht Neural Prosthesis (UNP): A Pilot Study on Controllability of Brain Signals and Application in locked-in Patients
- ClinicalTrials.gov ID
- NCT02224469
- Acronym / sponsor ID
- UNP / UMCU 12-370
- Conditions
- Locked-In Syndrome
- Keywords
- Brain-Computer Interface, Motor Cortex, Dorsolateral Prefrontal Cortex, Quality of Life
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 6 participants (actual)
- Lead sponsor
- UMC UtrechtUniversity, hospital or other
- Study start
- 9 Sep 2015 (actual)
- Primary completion
- 14 Feb 2024 (actual)
- Study completion
- 14 Feb 2024 (actual)
- First posted
- 25 Aug 2014 (estimated)
- Results
- Posted 3 Dec 2025
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
In this study a new means of communication for people with locked-in syndrome will be tested. The investigators will record brain signals directly from the surface of the brain by means of a completely implantable system. These brain signals are fed wirelessly into an assistive technology device and will control this device for communication and environmental control at the users home.
Detailed description
In this pilot study we will provide locked-in people with a new means of communication which has not been possible up to now. For the first time, we will test whether we can record and decode neural signals obtained directly from the brain, for control over a computer. The target population is people with locked-in syndrome. For these patients there is no technique available to allow them to communicate unaided. We have developed a brain-computer interface (BCI) system that can read activity directly from the brain, and can convert the activity to a digital switch. The system, called the Utrecht Neural Prosthesis (UNP), consists of an implantable amplifier for electrical brain signals, a set of electrodes positioned on the surface of the brain and a wireless receiver, placed outside of the body. A dedicated computer will convert the signals to electrical pulses for standard Assistive Technology devices. The UNP can in principle enable the patient to engage in any activity that is offered by commercial Assistive Technology companies that can be performed with switch signals, for instance operating home apparatus or writing text. Most importantly, we aim to achieve unsupervised function of the BCI, meaning that the patient will be able to use it at home without the aid of researchers or other experts (but with minimal caregiver assistance).
Study design
- Primary purpose
- Supportive care
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| ECoG (electrocorticography) sensing | Experimental | Device: ECoG (electrocorticography) sensingUse ECoG-based Brain Computer interface to control assistive technology |
Who may qualify
- Ages
- 18 to 75 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (15 listed)
- Age 18 - 75
- Locked-in status (i.e. severely paralyzed with communication problems)
- Rudimentary form of communication possible (e.g. through assistive technology, eye blinks or eye movements, severely impaired speech)
- Mentally and physically capable of giving informed consent
- Lives in or close to the Netherlands
Key exclusion criteria (8 listed)
- Strong and frequent spasms
- Vital indication for blood thinners
- Current brain tumor or history of tumor resection
- Quick medical or neurological deterioration
- Patients who are considered legally incapable (and who therefore will not be able to give informed consent)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ECoG (electrocorticography) sensingAlso: Activa PC + SImplant electrodes and sensing device and use for control of Assistive Technology | Device | ECoG (electrocorticography) sensing |
Primary outcome
Number of Participants Reaching Proficiency Level 2: Unsupervised BCI Performance
Time frame: up to 1 year
The system correctly detects a switch brain signal within 10 sec in a real life, cognitively engaging context, such as operating a spelling device. A formal test has been designed, in which the patient has to copy a 30 character sentence within 30 minutes, with a margin of 20% faulty characters.
4 secondary outcomes
Patient Device Satisfaction
Time frame: 8 years
Effects Device on Quality of Life
Time frame: 3 years
Quality of Life by Scoring Subjective Well-being in ACSA Score
Time frame: 4.5 years
Hours of Use of BCI Device Per Day
Time frame: Time frame starts when participant receives a system with the full feature set for 24h home use and ends when signal decline starts influencing hours of use per day, an average of 1 year
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Dec 2025.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 20517943Vansteensel MJ, Hermes D, Aarnoutse EJ, Bleichner MG, Schalk G, van Rijen PC, Leijten FS, Ramsey NF. Brain-computer interfacing based on cognitive control. Ann Neurol. 2010 Jun;67(6):809-16. doi: 10.1002/ana.21985.
- Background: PubMed 22695047Torres Valderrama A, Paclik P, Vansteensel MJ, Aarnoutse EJ, Ramsey NF. Error probability of intracranial brain computer interfaces under non-task elicited brain states. Clin Neurophysiol. 2012 Dec;123(12):2392-401. doi: 10.1016/j.clinph.2012.05.006. Epub 2012 Jun 12.
- Results publication: PubMed 27959736Vansteensel MJ, Pels EGM, Bleichner MG, Branco MP, Denison T, Freudenburg ZV, Gosselaar P, Leinders S, Ottens TH, Van Den Boom MA, Van Rijen PC, Aarnoutse EJ, Ramsey NF. Fully Implanted Brain-Computer Interface in a Locked-In Patient with ALS. N Engl J Med. 2016 Nov 24;375(21):2060-2066. doi: 10.1056/NEJMoa1608085. Epub 2016 Nov 12.
- Results publication: PubMed 31680806Freudenburg ZV, Branco MP, Leinders S, van der Vijgh BH, Pels EGM, Denison T, van den Berg LH, Miller KJ, Aarnoutse EJ, Ramsey NF, Vansteensel MJ. Sensorimotor ECoG Signal Features for BCI Control: A Comparison Between People With Locked-In Syndrome and Able-Bodied Controls. Front Neurosci. 2019 Oct 16;13:1058. doi: 10.3389/fnins.2019.01058. eCollection 2019.
- Results publication: PubMed 31401488Pels EGM, Aarnoutse EJ, Leinders S, Freudenburg ZV, Branco MP, van der Vijgh BH, Snijders TJ, Denison T, Vansteensel MJ, Ramsey NF. Stability of a chronic implanted brain-computer interface in late-stage amyotrophic lateral sclerosis. Clin Neurophysiol. 2019 Oct;130(10):1798-1803. doi: 10.1016/j.clinph.2019.07.020. Epub 2019 Jul 27.
- Results publication: PubMed 28639486Pels EGM, Aarnoutse EJ, Ramsey NF, Vansteensel MJ. Estimated Prevalence of the Target Population for Brain-Computer Interface Neurotechnology in the Netherlands. Neurorehabil Neural Repair. 2017 Jul;31(7):677-685. doi: 10.1177/1545968317714577. Epub 2017 Jun 22.
- Results publication: PubMed 32963279Leinders S, Vansteensel MJ, Branco MP, Freudenburg ZV, Pels EGM, Van der Vijgh B, Van Zandvoort MJE, Ramsey NF, Aarnoutse EJ. Dorsolateral prefrontal cortex-based control with an implanted brain-computer interface. Sci Rep. 2020 Sep 22;10(1):15448. doi: 10.1038/s41598-020-71774-5.
- Results publication: PubMed 37657190Leinders S, Vansteensel MJ, Piantoni G, Branco MP, Freudenburg ZV, Gebbink TA, Pels EGM, Raemaekers MAH, Schippers A, Aarnoutse EJ, Ramsey NF. Using fMRI to localize target regions for implanted brain-computer interfaces in locked-in syndrome. Clin Neurophysiol. 2023 Nov;155:1-15. doi: 10.1016/j.clinph.2023.08.003. Epub 2023 Aug 18.
- Results publication: PubMed 39141854Vansteensel MJ, Leinders S, Branco MP, Crone NE, Denison T, Freudenburg ZV, Geukes SH, Gosselaar PH, Raemaekers M, Schippers A, Verberne M, Aarnoutse EJ, Ramsey NF. Longevity of a Brain-Computer Interface for Amyotrophic Lateral Sclerosis. N Engl J Med. 2024 Aug 15;391(7):619-626. doi: 10.1056/NEJMoa2314598.
- Derived from this study: PubMed 39484239Leinders S, Aarnoutse EJ, Branco MP, Freudenburg ZV, Geukes SH, Schippers A, Verberne MSW, van den Boom M, van der Vijgh B, Crone NE, Denison T, Ramsey NF, Vansteensel MJ. DO NOT LOSE SLEEP OVER IT: IMPLANTED BRAIN-COMPUTER INTERFACE FUNCTIONALITY DURING NIGHTTIME IN LATE-STAGE AMYOTROPHIC LATERAL SCLEROSIS. medRxiv [Preprint]. 2024 Oct 15:2024.10.11.24315027. doi: 10.1101/2024.10.11.24315027.
- Related Info for laymenLink provided by the sponsor.
- Info on research groupLink provided by the sponsor.
- Individual participant dataSharing planned: Yes. selected datasets will be available through a public repository after publication of results
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Nick F Ramsey, PhD principal investigator
UMC Utrecht
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing ECoG (electrocorticography) sensing in people with Locked-In Syndrome, run by UMC Utrecht at 1 site in Netherlands.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 15 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Dec 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Netherlands. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 3 Dec 2025). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of Participants Reaching Proficiency Level 2: Unsupervised BCI Performance (time frame: up to 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02224469, which also lists 10 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Dec 2025.