Brain-computer interfaces and electromyostimulation in the rehabilitation of stroke patients: impact on emotional state, daily functioning and quality of life
https://doi.org/10.33667/2078-5631-2025-21-14-20
Abstract
SUMMARY
Relevance. The effectiveness of medical rehabilitation (MR) of stroke patients depends on their emotional status. The prevalence of depression varies from 35% in the acute period to 44.7% in the early recovery period.
Aim. To study the effect of robotic brain-computer interfaces (BCI) and electromyostimulation (EMS) on the emotional state, daily functioning, and quality of life of patients with ischemic stroke (IS).
Matherials and methods. The study included 120 patients with IS. The patients were randomized into one of 4 groups, 30 people each: the main group, MG (basic complex MR, robotic BCI and EMS); comparison group 1 (basic complex and robotic BCI); comparison group 2 (basic complex and EMS); control group (basic complex MR). Over time (1 week, 2 weeks, 3 months), functional independence (Barthel index, BI), quality of life of patients (EQ‑5D questionnaire), and emotional state were assessed on the HADS.
Results. The average age of patients was 56.54±2.53 years, and the duration of IS was 48.7 ± 3.5 days. The average values on the HADS corresponded to subclinically expressed anxiety (9.46±0.50 points) and subclinically expressed depression (8.85±0.58 points), BI to moderate restrictions on daily activity (63.92 ± 0.23 points), the EQ‑5D questionnaire data to the presence of health-related difficulties (43.99±5.45 points). After the MR, significant positive changes were noted in the MG: the total score on the «Anxiety» subscale decreased by 53.9% after 2 weeks, by 55.6% after 3 months, and on the «Depression» subscale by 50.1% and 62.3%, respectively. An increase in the average score of the BI had a significantly greater increase in MG. There was an increase in the quality of life according to EQ‑5D in all groups with significantly better values in the MH (2 weeks – 71.55±5.45 points, 3 months – 84.65±6.10 points).
Conclusions. Against the background of the use of comprehensive rehabilitation programs with the inclusion of robotic BCI and EMS, a regression of emotional disorders, an increase in functional independence and quality of life of patients with IS.
About the Authors
M. S. FilippovRussian Federation
Filippov Maxim S., head of branch No. 3, physical rehabilitation medicine physician
Moscow
I. V. Pogonchenkova
Russian Federation
Pogonchenkova Irena V., DM Sci (habil.), director
Moscow
E. V. Kostenko
Russian Federation
Kostenko Elena V., DM Sci (habil.), professor, deputy director for Scientific Work1, professor at Dept of Neurology
Moscow
A. M. Shchikota
Russian Federation
Shchikota Alexey M., PhD Med, associate professor, academic secretary
Moscow
References
1. Piradov M. A., Maksimova M. Yu., Tanashyan M. M. Stroke: step-by-step instructions. A guide for doc;tors. 2nd ed. I've been through a lot. and additional. Moscow: GEOTAR-Media, 2020. 288 p. (In Russ.).
2. Ignatyeva V. I., Voznyuk I. A., Shamalov N. A., Reznik A. V., Vinitskiy A. A., Derkach E. V. Social and economic burden of stroke in Russian Federation. S. S. Korsakov Journal of Neurology and Psychiatry. 2023; 123 (8–2): 5–15. (In Russ.). https://doi.org/10.17116/jnevro20231230825
3. Feigin V. L., Stark B. A., Johnson C. O. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurology. 2021; 20 (10): 795–820. DOI: 10.1016/S1474-4422 (21) 00252‑0
4. Feigin VL, Brainin M, Norrving B, Martins SO, Pandian J, Lindsay P, F Grupper M, Rautalin I. World Stroke Organization: Global Stroke Fact Sheet 2025. Int J Stroke. 2025 Feb; 20 (2): 132–144. DOI: 10.1177/17474930241308142
5. Levin O. S., Bogolepova A. N. Post-stroke motor and cognitive disorders: clinical features and modern approaches to rehabilitation. The Korsakov Journal of Neurology and Psychiatry. 2020; 120 (11): 99–107. (In Russ.). DOI: 10.17116/jnevro202012011199
6. Kostenko E. V., Petrova L. V., Pogonchenkova I. V., Neprintseva N. V., Shurupova S. T., Kopa;sheva V. D. Innovative technologies and possibilities of multimodal correction of post-stroke motor and neuropsychological disorders. Issues of balneology, physiotherapy and therapeutic physical education. 2022. 99 (6). 67–78. (In Russ.). https://doi.org/10.17116/kurort20229906167
7. Kostenko E. V., Pogonchenkova I. V., Petrova L. V., Kashezhev A. G., Kaverina E. V., Filippov M. S. Sat;isfaction analysis of stroke patients with medical rehabilitation using multimodal correction technology. Medical advice. 2024; 18 (3): 108–118. (In Russ.). https://doi.org/10.21518/ms2024–123
8. Lui F., Hui C., Khan Suheb M. Z., Patti L. Ischemic Stroke. 2025. Feb 21. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. 2025 Jan. PMID: 29763173.
9. Khizhnikova A. E., Klochkov A. S., Kotov-Smolensky A.M., Suponeva N. A., Piradov M. A. Dy;namics of the kinematic portrait of post-stroke paresis of the hand on the background of rehabilitation. Bulletin of the Russian State Medical University. 2019; 4. (In Russ.). URL: https://cyberleninka.ru/article/n/dinamika-kinematicheskogo-portreta-postinsultnogo-pareza-ru-ki-na-fone-reabilitatsii (date of request: 08/12/2025).
10. van Lieshout E. C.C., van de Port I. G., Dijkhuizen R. M., Visser-Meily J.M.A. Does upper limb strength play a prominent role in health-related quality of life in stroke patients discharged from inpatient rehabilitation? Top. Stroke Rehabil. 2020; 27: 525–533. DOI: 10.1080/10749357.2020.1738662
11. Kotov S. V., Slyunkova E. V., Borisova V. A., Isakova E. V. The effectiveness of using brain-com;puter interfaces and cognitive training using computer technology in restoring cognitive functions in patients after stroke. S. S. Korsakov Journal of Neurology and Psychiatry. 2022; 122 (12–2): 67–75. (In Russ.). DOI: 10.17116/jnevro202212212267
12. Frolov A. A., Biryukova E. V., Bobrov P. D., Kurganskaya M. E., Pavlova O. G., Kondur A. A. Effec;tiveness of complex neurorehabilitation of patients with post-stroke paresis of the arm using the brain-computer neural interface + an exoskeleton. The Almanac of Clinical Medicine. 2016; 44 (3): 280–286. (In Russ.). DOI: 10.18786/2072‑0505‑2016‑44‑3‑280‑286
13. Orban M. A., Elsamanty M., Guo K., Zhang S., Yang H. Review of Brain Activity and EEG-Based Brain-Computer Interfaces for Rehabilitation Application. Bioengineering (Basel). 2022 Dec 5; 9 (12): 768. DOI: 10.3390/bioengineering9120768
14. Peksa J., Mamchur D. State-of-the-Art on Brain-Computer Interface Technology. Sensors (Basel). 2023 Jun 28; 23 (13): 6001. DOI: 10.3390/s23136001
15. Citterman R. Impaired Discrimination of Electrocutaneous Stimulation in the Paretic Hand of Stroke Survivors. 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023: 1–6. DOI: 10.1109/EMBC40787.2023.10340295
16. Osman H., Siu R., Makowski N. S., Knutson J. S., Cunningham D. A. Neurostimulation After Stroke. Phys Med Rehabil Clin N Am. 2024 May; 35 (2): 369–382. DOI: 10.1016/j.pmr.2023.06.008.
17. Lee S. H., Kim S. S., Lee B. H. Action observation training and brain-computer interface con;trolled functional electrical stimulation enhance upper extremity performance and cortical activation in patients with stroke: a randomized controlled trial. Physiotherapy theory and practice. 2022; 38 (9): 1126–1134. https://doi.org/10.1080/09593985.2020.1831114
18. Gogoleva A. G., Zakharov V. V. Anxiety and depressive disorders in patients after stroke: prevalence, approaches to diagnosis and therapy. Effective pharmacotherapy. 2019; 15 (34): 36–44. (In Russ.). DOI: 10.33978/2307‑3586‑2019‑15‑34‑36‑44
19. Kutlubaev M. A., Akhmetova A. I., Ozerova A. I. Emotional disorders after stroke. S. S. Korsakov Journal of Neurology and Psychiatry. Special editions. 2023; 123 (12–2): 30–35. (In Russ.). DOI: 10.17116/jnevro202312312230
20. Chun HY, Ford A, Kutlubaev MA. et al. Depression, Anxiety, and Suicide After Stroke: A Nar;rative Review of the Best Available Evidence. Stroke. 2022; 53 (4): 1402–1410. Epub 2021 Dec 6. https://doi.org/10.1161/STROKEAHA.121.035499]
21. Bushkova Yu.V., Ivanova G. E., Stakhovskaya L. V., Frolov A. A. Brain–computer interface tech;nology as a controlled ideomotor training in rehabilitation of patients after stroke. Bulletin of the Russian State Medical University. 2019; 6: 28–34. (In Russ.). DOI: 10.24075/vrgmu.2019.078
22. Petrova L. V., Kostenko E. V., Pogonchenkova I. V., Rylsky A. V., Kamchatnov P. R. Multimodal correction technology for post-stroke motor disorders. S. S. Korsakov Journal of Neurology and Psychiatry. 2023; 123 (3 vol. 2): 58–67. (In Russ.). https://doi.org/10.17116/jnevro202312303258
23. Gnasso R., Palermi S., Picone A., Tarantino D., Fusco G., Messina M. M., Sirico F. Robotic-Assisted Rehabilitation for Post-Stroke Shoulder Pain: A Systematic Review / R. Gnasso, Sensors (Basel). 2023 Oct 3; 23 (19): 8239. DOI: 10.3390/s23198239
24. Rubakova A. A., Ivanova G. E., Bulatova M. A. Activation of sensorimotor integration processes using the brain-computer interface. Bulletin of the Russian State Medical University. 2021; 5: 29–35. (In Russ.). DOI: 10.24075/vrgmu.2021.039
25. Yoshimura N, Tsuda H, Aquino D, Takagi A, Ogata Y, Koike Y. et al. Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity. Brain sciences. 2020; 10 (12): 966. DOI: 10.3390/brainsci10120966
26. Frolov AA, Mokienko O, Lyukmanov R, Biryukova E, Kotov S, Turbina L. et al. Post-stroke Re;habilitation Training with a Motor Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial. Front Neurosci. 2017; 11: 400. DOI: 10.3389/fnins.2017.00400
27. Maksimova M. Yu., Chochlova T. Yu., Suanova E. T. Poststroke depression – a common medical and social problem. S. S. Korsakov Journal of Neurology and Psychiatry. 2016; 116 (3): 96–103. (In Russ.). DOI: 10.17116/jnevro20161163196-103
Review
For citations:
Filippov M.S., Pogonchenkova I.V., Kostenko E.V., Shchikota A.M. Brain-computer interfaces and electromyostimulation in the rehabilitation of stroke patients: impact on emotional state, daily functioning and quality of life. Medical alphabet. 2025;(21):14-20. (In Russ.) https://doi.org/10.33667/2078-5631-2025-21-14-20























