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Methods and Approaches to Optimizing Control Using a Brain–Computer Interface System by Healthy Subjects and Patients with Motor Disorders

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This review addresses the search for means of improving the operation of ‘brain–computer interface’ (BCI) systems, including those used in clinical practice. Training methods, particularly those improving motor imagery, will be discussed. The main themes covered here are: what to imagine and how to imagine it; means of using feedback; types of training promoting improvements in the concentration of attention on the task at hand (training based on observing movements, goal-directed motor therapy in neurorehabilitation, and body-and-mind therapy). In addition, data on the effects of psychological and social factors on the success in controlling BCI are also presented. Visuomotor coordination ability and concentration on the task are important, as are motivational factors, fear of incompetence, and creation of an optimum emotional context during BCI sessions.

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Authors and Affiliations

  1. Movement Physiology Laboratory, Pavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia

    E. V. Bobrova

  2. Laboratory for the Mathematical Neurobiology of Learning, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia

    A. A. Frolov

  3. Department of Neurocomputer Interfaces, Institute of Translational Medicine, Pirogov Russian National Research, Medical University, Moscow, Russia

    A. A. Frolov

  4. Department of Informatics, Technical University of Ostrava, Ostrava, Czech Republic

    A. A. Frolov

  5. Department of Higher Mental Activity and Psychophysiology, St. Petersburg State University, St. Petersburg, Russia

    V. V. Reshetnikova

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  1. E. V. Bobrova
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  2. A. A. Frolov
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  3. V. V. Reshetnikova
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Correspondence to E. V. Bobrova.

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Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 67, No. 4, pp. 377–393, July–August, 2017.

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Bobrova, E.V., Frolov, A.A. & Reshetnikova, V.V. Methods and Approaches to Optimizing Control Using a Brain–Computer Interface System by Healthy Subjects and Patients with Motor Disorders. Neurosci Behav Physi 48, 1041–1052 (2018). https://doi.org/10.1007/s11055-018-0667-4

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