1. Brain–Computer Interfaces: Neurophysiological Bases and Clinical Applications

   • A. A. Frolov
   • P. D. Bobrov

   SPECIAL ISSUE: BRAIN–COMPUTER INTERFACE 23 November 2018 Pages: 1033 - 1040

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

   • E. V. Bobrova
   • A. A. Frolov
   • V. V. Reshetnikova

   REVIEWS AND THEORETICAL ARTICLES 22 November 2018 Pages: 1041 - 1052

3. Use of Robotic Devices in Post-Stroke Rehabilitation

   • A. A. Frolov
   • I. B. Kozlovskaya
   • P. D. Bobrov

   OriginalPaper 22 November 2018 Pages: 1053 - 1066

4. A Motor Imagery-Based Brain–Computer Interface with Vibrotactile Stimuli

   • S. P. Liburkina
   • A. N. Vasilyev
   • A. Ya. Kaplan

   PHYSIOLOGY OF HIGHER NERVOUS (MENTAL) ACTIVITY IN HUMANS 22 November 2018 Pages: 1067 - 1077

5. Electrographic Properties of Movement-Related Potentials

   • D. M. Lazurenko
   • V. N. Kiroy
   • N. R. Minyaeva

   OriginalPaper 23 November 2018 Pages: 1078 - 1087

6. Recovery Dynamics in Patients with Poststroke Motor Disorders after Multiple Courses of Neurorehabilitation Using an Exoskeleton Controlled by a Brain–Computer Interface

   • S. V. Kotov
   • L. G. Turbina
   • E. V. Biryukova

   OriginalPaper 23 November 2018 Pages: 1088 - 1092

7. Properties of EEG Responses to Emotionally Significant Stimuli Using a P300 Wave-Based Brain–Computer Interface

   • I. P. Ganin
   • E. A. Kosichenko
   • A. Ya. Kaplan

   OriginalPaper 23 November 2018 Pages: 1093 - 1099

8. Use of a BCI-Exoskeleton Simulator with Multichannel Biofeedback in a Multidisciplinary Rehabilitation Program in Poststroke Patients

   • G. E. Ivanova
   • Yu. V. Bushkova
   • F. A. Bushkov

   OriginalPaper 22 November 2018 Pages: 1100 - 1105

9. Dynamics of the Cortical Motor Representation of the Extensor Digitorum Communis Muscle after Motor Imagery Training Using a Brain–Computer Interface: a Controlled Study

   • A. G. Poydasheva
   • G. A. Aziatskaya
   • M. A. Piradov

   PHYSIOLOGY OF BEHAVIOR, LEARNING, AND MEMORY 23 November 2018 Pages: 1106 - 1113

10. Effects of Emotional Stability on Success in Learning to Control a Brain–Computer Interface

    • E. V. Bobrova
    • V. V. Reshetnikova
    • A. A. Frolov

    OriginalPaper 23 November 2018 Pages: 1114 - 1119

11. A Model Device for Real-Time Monitoring of Cognitive Activity in Humans (the “Cognovisor”)

    • I. V. Tarotin
    • M. S. Atanov
    • G. A. Ivanitsky

    METHODS 23 November 2018 Pages: 1120 - 1127

12. The Brain–Computer Interface: Experience of Construction, Use, and Potential Routes to Improving Performance

    • K. V. Volkova
    • N. I. Dagaev
    • A. E. Osadchiy

    OriginalPaper 22 November 2018 Pages: 1128 - 1139

13. A Comparison of Classifiers in a Task Consisting of Classifying Single Visual Event-Related Cortical Potentials in Humans

    • S. N. Agapov
    • V. A. Bulanov
    • M. S. Sergeeva

    OriginalPaper 23 November 2018 Pages: 1140 - 1144

14. A Novel Neural Network Approach to Creating a Brain–Computer Interface Based on the EEG Patterns of Voluntary Muscle Movements

    • I. E. Shepelev
    • D. M. Lazurenko
    • N. R. Minyaeva

    OriginalPaper 22 November 2018 Pages: 1145 - 1157

15. Modeling Light Propagation through the Tissues of the Head Taking Account of Scattering Anisotropy to Optimize the Positioning of Irradiation Detectors and Sources in a Brain–Computer Interface Based on Near Infrared Spectroscopy

    • M. R. Isaev
    • V. V. Oganesyan
    • V. Snasel

    OriginalPaper 22 November 2018 Pages: 1158 - 1163

16. Comparison of Results Obtained Using Brain–Computer Interface Classifiers in a Motor Imagery Recognition Task

    • V. V. Oganesyan
    • S. N. Agapov
    • E. V. Biryukova

    OriginalPaper 22 November 2018 Pages: 1164 - 1168