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Kotov S.V.

Vladimirsky Moscow Regional Clinical Research Institute

Isakova E.V.

Vladimirsky Moscow Regional Research and Clinical Institute

Borisova V.A.

Vladimirsky Moscow Regional Research and Clinical Institute

Spectrum of tolerability and safety of the use of brain—computer interfaces with biofeedback in cognitive rehabilitation after a stroke

Authors:

Kotov S.V., Isakova E.V., Borisova V.A.

More about the authors

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To cite this article:

Kotov SV, Isakova EV, Borisova VA. Spectrum of tolerability and safety of the use of brain—computer interfaces with biofeedback in cognitive rehabilitation after a stroke. S.S. Korsakov Journal of Neurology and Psychiatry. 2025;125(12‑2):86‑93. (In Russ.)
https://doi.org/10.17116/jnevro202512512286

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References:

  1. Kotov SV, Isakova EV, Zaitseva EV. Poststroke cognitive impairment and the possibility of its nonpharmacological treatment with vestibular stimulation based on biological feedback to supporting reaction. S.S. Korsakov Journal of Neurology and Psychiatry. 2020;120(3-2):16-22. (In Russ.). https://doi.org/10.17116/jnevro202012003216
  2. Kotov SV, Slunkova EV, Borisova VA, et al. Effectiveness of brain-computer interfaces and cognitive training using computer tehnologies in restoring cognitive functions in patient after stroke. S.S. Korsakov Journal of Neurology and Psychiatry. 2022;122(12-2):67-75. (In Russ.). https://doi.org/10.17116/jnevro202212212267
  3. Loriette C, Amengual JL, Ben Hamed S. Beyond the brain-computer interface: Decoding brain activity as a tool to understand neuronal mechanisms subtending cognition and behavior. Front Neurosci. 2022;16:811736. https://doi.org/10.3389/fnins.2022.811736
  4. Kim S, Dalboni da Rocha JL, Birbaumer N, et al. Self-Regulation of the Posterior-Frontal Brain Activity with Real-Time fMRI Neurofeedback to Influence Perceptual Discrimination. Brain Sci. 2024;14(7):713.  https://doi.org/10.3390/brainsci14070713
  5. Keough JR, Irvine B, Kelly D, et al. Fatigue in children using motor imagery and P300 brain-computer interfaces. J Neuroeng Rehabil. 2024;21(1):61.  https://doi.org/10.1186/s12984-024-01349-2
  6. Li S, Duan J, Sun Y, et al. Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface Practice. Front Neurosci. 2021;15:773790. https://doi.org/10.3389/fnins.2021.773790
  7. Azadi Moghadam M, Maleki A. Fatigue factors and fatigue indices in SSVEP-based brain-computer interfaces: a systematic review and meta-analysis. Front Hum Neurosci. 2023;17:1248474. https://doi.org/10.3389/fnhum.2023.1248474
  8. Sun X, Li M, Li Q, et al. Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface. Biomed Res Int. 2022:9935192. https://doi.org/10.1155/2022/9935192
  9. Sebastián-Romagosa M, Cho W, Ortner R, et al. Brain Computer Interface Treatment for Motor Rehabilitation of Upper Extremity of Stroke Patients-A Feasibility Study. Front Neurosci. 2020;14:591435. https://doi.org/10.3389/fnins.2020.591435
  10. Käthner I, Wriessnegger SC, Müller-Putz GR, et al. Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain-computer interface. Biol Psychol. 2014;102:118-129.  https://doi.org/10.1016/j.biopsycho.2014.07.014
  11. Shaw SB, Nicholson AA, Ros T, et al. Increased top-down control of emotions during symptom provocation working memory tasks following a RCT of alpha-down neurofeedback in PTSD. Neuroimage Clin. 2023;37:103313. https://doi.org/10.1016/j.nicl.2023.103313
  12. Tonin L, Pitteri M, Leeb R, et al. Behavioral and Cortical Effects during Attention Driven Brain-Computer Interface Operations in Spatial Neglect: A Feasibility Case Study. Front Hum Neurosci. 2017;11:336.  https://doi.org/10.3389/fnhum.2017.00336
  13. Blanco-Díaz CF, Guerrero-Méndez CD, Bastos-Filho T, et al. Effects of the concentration level, eye fatigue and coffee consumption on the performance of a BCI system based on visual ERP-P300. J Neurosci Methods. 2022;382:109722. https://doi.org/10.1016/j.jneumeth.2022.109722
  14. Fernández-Rodríguez Á, Ron-Angevin R, Sanz-Arigita EJ, et al. Effect of Distracting Background Speech in an Auditory Brain-Computer Interface. Brain Sci. 2021;11(1):39.  https://doi.org/10.3390/brainsci11010039

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