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Brain-computer interfaces for amyotrophic lateral sclerosis.

A brain-computer interface (BCI) is a device that detects signals from the brain and transforms them into useful commands. Researchers have developed BCIs that utilize different kinds of brain signals. These different BCI systems have differing characteristics, such as the amount of training require...

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Published in:Muscle & Nerve Vol. 61; no. 6; pp. 702 - 708
Main Author: McFarland, Dennis J.
Format: review Journal Article
Published: Wiley-Blackwell Jun2020
Online Access:View this record in EBSCOhost
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      dt: Jun2020
      vid: 61
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1002/mus.26828
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        atl: Brain-computer interfaces for amyotrophic lateral sclerosis.
      aug:
        au: McFarland, Dennis J.
        affil: National Center for Adaptive Neurotechnologies, Albany New York,
      sug:
        subj:
          Brain-Computer Interfaces Trends
          Amyotrophic Lateral Sclerosis Physiopathology
          Brain Physiology
          Amyotrophic Lateral Sclerosis Rehabilitation
          Electroencephalography Methods
          Evoked Potentials Physiology
      ab: A brain-computer interface (BCI) is a device that detects signals from the brain and transforms them into useful commands. Researchers have developed BCIs that utilize different kinds of brain signals. These different BCI systems have differing characteristics, such as the amount of training required and the degree to which they are or are not invasive. Much of the research on BCIs to date has involved healthy individuals and evaluation of classification algorithms. Some BCIs have been shown to have potential benefit for users with minimal muscular function as a result of amyotrophic lateral sclerosis. However, there are still several challenges that need to be successfully addressed before BCIs can be clinically useful.
      pubtype: Academic Journal
      doctype:
        review
        Journal Article
      ougenre: Article
    language: English
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