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Isakova E.V.

Vladimirsky Moscow Regional Research and Clinical Institute

Kotov S.V.

Vladimirsky Moscow Regional Clinical Research Institute

Borisova V.A.

Vladimirsky Moscow Regional Research and Clinical Institute

Effectiveness of “brain—computer” interfaces with biofeedback in the rehabilitation of cognitive impairment after a stroke

Authors:

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

More about the authors

Read: 2005 times


To cite this article:

Isakova EV, Kotov SV, Borisova VA. Effectiveness of “brain—computer” interfaces with biofeedback in the rehabilitation of cognitive impairment after a stroke. S.S. Korsakov Journal of Neurology and Psychiatry. 2025;125(8‑2):54‑60. (In Russ.)
https://doi.org/10.17116/jnevro202512508254

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References:

  1. 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
  2. Tazaki M. A review: effects of neurofeedback on patients with mild cognitive impairment (MCI), and Alzheimer’s disease (AD). Front Hum Neurosci. 2024;17:1331436. https://doi.org/10.3389/fnhum.2023.1331436
  3. Mane R, Chouhan T, Guan C. BCI for stroke rehabilitation: motor and beyond. J Neural Eng. 2020;17(4):041001. https://doi.org/10.1088/1741-2552/aba162
  4. Vilou I, Varka A, Parisis D, et al. EEG-Neurofeedback as a Potential Therapeutic Approach for Cognitive Deficits in Patients with Dementia, Multiple Sclerosis, Stroke and Traumatic Brain Injury. Life (Basel). 2023;13(2):365.  https://doi.org/10.3390/life13020365
  5. 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
  6. Kober SE, Schweiger D, Reichert JL, et al. Upper Alpha Based Neurofeedback Training in Chronic Stroke: Brain Plasticity Processes and Cognitive Effects. Appl Psychophysiol Biofeedback. 2017;42(1):69-83.  https://doi.org/10.1007/s10484-017-9353-5
  7. Lavy Y, Dwolatzky T, Kaplan Z, et al. Neurofeedback Improves Memory and Peak Alpha Frequency in Individuals with Mild Cognitive Impairment. Appl Psychophysiol Biofeedback. 2019;44(1):41-49.  https://doi.org/10.1007/s10484-018-9418-0
  8. Riccio A, Simione L, Schettini F, et al. Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis. Front Hum Neurosci. 2013;7:732.  https://doi.org/10.3389/fnhum.2013.00732
  9. Zhang H, Jiao L, Yang S, et al. Brain-computer interfaces: the innovative key to unlocking neurological conditions. Int J Surg. 2024;110(9):5745-5762. https://doi.org/10.1097/JS9.0000000000002022
  10. 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

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