Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury
- PMID: 25309420
- PMCID: PMC4174119
- DOI: 10.3389/fneng.2014.00038
Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury
Abstract
Brain computer interfaces (BCIs) are devices that measure brain activities and translate them into control signals used for a variety of applications. Among them are systems for communication, environmental control, neuroprostheses, exoskeletons, or restorative therapies. Over the last years the technology of BCIs has reached a level of matureness allowing them to be used not only in research experiments supervised by scientists, but also in clinical routine with patients with neurological impairments supervised by clinical personnel or caregivers. However, clinicians and patients face many challenges in the application of BCIs. This particularly applies to high spinal cord injured patients, in whom artificial ventilation, autonomic dysfunctions, neuropathic pain, or the inability to achieve a sufficient level of control during a short-term training may limit the successful use of a BCI. Additionally, spasmolytic medication and the acute stress reaction with associated episodes of depression may have a negative influence on the modulation of brain waves and therefore the ability to concentrate over an extended period of time. Although BCIs seem to be a promising assistive technology for individuals with high spinal cord injury systematic investigations are highly needed to obtain realistic estimates of the percentage of users that for any reason may not be able to operate a BCI in a clinical setting.
Keywords: BCI performance; brain computer interface; clinical application; complications; neurorehabilitation; spinal cord injury.
Figures
Similar articles
-
Brain-computer interfaces for communication and control.Clin Neurophysiol. 2002 Jun;113(6):767-91. doi: 10.1016/s1388-2457(02)00057-3. Clin Neurophysiol. 2002. PMID: 12048038 Review.
-
Brain-computer interfaces: Definitions and principles.Handb Clin Neurol. 2020;168:15-23. doi: 10.1016/B978-0-444-63934-9.00002-0. Handb Clin Neurol. 2020. PMID: 32164849 Review.
-
Human visual skills for brain-computer interface use: a tutorial.Disabil Rehabil Assist Technol. 2020 Oct;15(7):799-809. doi: 10.1080/17483107.2020.1754929. Epub 2020 Jun 1. Disabil Rehabil Assist Technol. 2020. PMID: 32476516 Free PMC article. Review.
-
What would brain-computer interface users want: opinions and priorities of potential users with spinal cord injury.Arch Phys Med Rehabil. 2015 Mar;96(3 Suppl):S38-45.e1-5. doi: 10.1016/j.apmr.2014.05.028. Arch Phys Med Rehabil. 2015. PMID: 25721546
-
Hybrid brain-computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury.Artif Intell Med. 2013 Oct;59(2):133-42. doi: 10.1016/j.artmed.2013.07.004. Epub 2013 Sep 13. Artif Intell Med. 2013. PMID: 24064256
Cited by
-
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review.Front Comput Neurosci. 2024 Sep 20;18:1431815. doi: 10.3389/fncom.2024.1431815. eCollection 2024. Front Comput Neurosci. 2024. PMID: 39371523 Free PMC article. Review.
-
Functional electrical stimulation therapy controlled by a P300-based brain-computer interface, as a therapeutic alternative for upper limb motor function recovery in chronic post-stroke patients. A non-randomized pilot study.Front Neurol. 2023 Aug 17;14:1221160. doi: 10.3389/fneur.2023.1221160. eCollection 2023. Front Neurol. 2023. PMID: 37669261 Free PMC article.
-
A digital bridge to reverse paralysis.Cell Res. 2023 Dec;33(12):892-893. doi: 10.1038/s41422-023-00845-9. Cell Res. 2023. PMID: 37460803 Free PMC article. No abstract available.
-
Development and Use of Assistive Technologies in Spinal Cord Injury: A Narrative Review of Reviews on the Evolution, Opportunities, and Bottlenecks of Their Integration in the Health Domain.Healthcare (Basel). 2023 Jun 4;11(11):1646. doi: 10.3390/healthcare11111646. Healthcare (Basel). 2023. PMID: 37297786 Free PMC article. Review.
-
Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton.iScience. 2023 Apr 15;26(5):106675. doi: 10.1016/j.isci.2023.106675. eCollection 2023 May 19. iScience. 2023. PMID: 37250318 Free PMC article.
References
Publication types
LinkOut - more resources
Full Text Sources
Other Literature Sources