CClinicalTrials.gg
Status unknownNCT02980380Updated Apr 19, 2019

Brain Computer Interface Complete locked-in State Communication

An observational study in Complete Locked-in State, sponsored by University Hospital Tuebingen. Status unknown at 1 site in Germany. Per ClinicalTrials.gov, last updated 2019-04-19.

Sponsored by University Hospital Tuebingen · Observational

The sponsor has not verified this record recently (last verified Apr 2019), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Case-only
Time perspective
Retrospective
Enrollment
15
Sex
All
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Study summary

Electroencephalography (EEG) and/or near-infrared spectroscopy (NIRS) based Brain computer interface for communication in patients without any means of communication.

Read the detailed description

Amyotrophic lateral sclerosis is a progressive motor disease of unknown etiology resulting eventually in a complete paralysis of the motor system but affecting sensory or cognitive functions to a minor degree. There is no treatment available; patients have to decide to accept artificial respiration and feeding after the disease destroys respiratory and bulbar functions or to die of respiratory or related problems. If they opt for life and accept artificial respiration, the disease progresses until the patient loses control of the last muscular response, usually the eye muscles. If rudimentary voluntary control of at least one muscle is present the syndrome is called locked-in state (LIS); ultimately as the disease progresses most ALS patients lose the control of all muscles, the resulting condition is called completely locked-in state (CLIS). Patients in CLIS are unable to communicate with the external world because all assistive communication aids are based on some remaining motor control; hence there is a vital need for an assistive technology to help patients in CLIS to communicate needs and feelings to their family members/caregivers. Brain computer interface (BCI) represents a promising strategy to establish communication with paralyzed ALS patients, as it does not need muscle control. BCI research includes invasive (implantable electrodes on or in the neocortex) and noninvasive means (including electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and near-infrared spectroscopy (NIRS)) to record brain activity for conveying the user's intent to devices such as simple word-processing programs. Non-invasive methods have been utilized more frequently than invasive methods for people with disabilities (such as those with ALS).

For these conditions (LIS and CLIS) Brain-Computer-Interface were developed and tested extensively since the first publication of Birbaumer, 1999 of two LIS patients suffering from ALS. Patients select letters or words after learning self-regulation of the particular brain signal or by focusing their attention to the desired letter or a letter-matrix and the attention related brain potential selects the desired letter.

Different types of BCI based on EEG and/NIRS is under development to provide a means of communication to patients who have none.

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Conditions studied

  • Complete Locked-in State

Keywords

  • non-invasive brain computer interface
  • communication
  • amyotrophic lateral sclerosis
  • complete locked-in state
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In context

Locked-In Syndrome

20 studies on the registry are indexed under Locked-In Syndrome; 10 are open to participants now.

Browse Locked-In Syndrome studies →

Lead sponsor

University Hospital Tuebingen is the lead sponsor of 476 studies on the registry; 104 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Amyotrophic lateral sclerosis patients in complete locked-in state without any eye movement

Inclusion criteria

  • Amyotrophic lateral sclerosis patients without any eye movement

Exclusion criteria

Exclusion Criteria:

  • Amyotrophic lateral sclerosis patients with intact eye movement
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Study design

Observational model
Case-only
Time perspective
Retrospective
Enrollment
15 participants (estimated)
Patient registry
No

Groups and cohorts

  • Locked-in and complete locked-in state patients

    Amyotrophic lateral sclerosis patients in complete locked-in state as well as in transition from locked-in to complete locked-in state who have no means of communication.

    Other: Non-invasive brain computer interface

Interventions

  • OtherNon-invasive brain computer interface

    The hemodynamic change in the motor cortex of the CLIS patient will be recorded across many sessions spread over more than a year and will be used to train a classifier to predict the "yes" and "no" answering pattern of the CLIS patient. For patient who can still open their eyes but cannot use any other means of communication will control an EEG based BCI for communication.

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What researchers measure

Primary outcomes

  1. Brain Computer Interface Based Communication in the Completely Locked-In State patients

    fNIRS based BCI will be employed for communication in ALS patients in CLIS. The hemodynamic change in the motor cortex of the CLIS patient will be recorded and will be used for communication.

    Time frame: 2 years

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Study locations

1 of 1 sites recruiting
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References and documents

Publications

  • Birbaumer N. Breaking the silence: brain-computer interfaces (BCI) for communication and motor control. Psychophysiology. 2006 Nov;43(6):517-32. doi: 10.1111/j.1469-8986.2006.00456.x. PubMed 17076808 ↗
  • Birbaumer N, Ghanayim N, Hinterberger T, Iversen I, Kotchoubey B, Kubler A, Perelmouter J, Taub E, Flor H. A spelling device for the paralysed. Nature. 1999 Mar 25;398(6725):297-8. doi: 10.1038/18581. No abstract available. PubMed 10192330 ↗
  • Birbaumer N, Cohen LG. Brain-computer interfaces: communication and restoration of movement in paralysis. J Physiol. 2007 Mar 15;579(Pt 3):621-36. doi: 10.1113/jphysiol.2006.125633. Epub 2007 Jan 18. PubMed 17234696 ↗
  • Chaudhary U, Birbaumer N, Curado MR. Brain-machine interface (BMI) in paralysis. Ann Phys Rehabil Med. 2015 Feb;58(1):9-13. doi: 10.1016/j.rehab.2014.11.002. Epub 2015 Jan 8. PubMed 25623294 ↗
  • van Gerven M, Farquhar J, Schaefer R, Vlek R, Geuze J, Nijholt A, Ramsey N, Haselager P, Vuurpijl L, Gielen S, Desain P. The brain-computer interface cycle. J Neural Eng. 2009 Aug;6(4):041001. doi: 10.1088/1741-2560/6/4/041001. Epub 2009 Jul 22. PubMed 19622847 ↗
  • Farwell LA, Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol. 1988 Dec;70(6):510-23. doi: 10.1016/0013-4694(88)90149-6. PubMed 2461285 ↗
  • Kubler A, Birbaumer N. Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients? Clin Neurophysiol. 2008 Nov;119(11):2658-66. doi: 10.1016/j.clinph.2008.06.019. Epub 2008 Sep 27. PubMed 18824406 ↗
  • De Massari D, Ruf CA, Furdea A, Matuz T, van der Heiden L, Halder S, Silvoni S, Birbaumer N. Brain communication in the locked-in state. Brain. 2013 Jun;136(Pt 6):1989-2000. doi: 10.1093/brain/awt102. Epub 2013 Apr 26. PubMed 23625062 ↗
  • Gallegos-Ayala G, Furdea A, Takano K, Ruf CA, Flor H, Birbaumer N. Brain communication in a completely locked-in patient using bedside near-infrared spectroscopy. Neurology. 2014 May 27;82(21):1930-2. doi: 10.1212/WNL.0000000000000449. Epub 2014 Apr 30. PubMed 24789862 ↗

Individual participant data

Plan to share: Undecided — Data will be made available to other researcher after publication of the study

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 19, 2019, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT02980380
Lead sponsor
University Hospital Tuebingen
Responsible party
Dr. Ujwal Chaudhary (Principal Investigator, University Hospital Tuebingen) — Principal investigator
First posted
Dec 2, 2016
Start date
Jun 2014
Primary completion
Dec 2021 (estimated)
Completion
Apr 2022 (estimated)
Last update
Apr 19, 2019

Study contacts

Ujwal Chaudhary, PhD
Contact
ujwal.chaudhary@uni-tuebingen.de
Niels Birbaumer, PhD
Contact
niels.birbaumer@uni-tuebingen.de
Niels Birbaumer, PhD
principal investigator · University Hospital Tuebingen

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Apr 2019. You cannot join it, but the record below documents what was studied.

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