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Virtual reality technology in personalized rehabilitation of patients with acute ischemic stroke

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Abstract

(1) The purpose of research is an evaluation of clinical and paraclinical factors effects for VR-therapy efficiency during acute ischemic stroke period. VR rehabilitation course using was provided to 80 patients with diagnosed ischemic stroke. We assessed the significance of neuropsychological, clinical, demographic indicators on effectiveness of cognitive and physical VR rehabilitation programs using following parameter scales: MoCA, BI, NIHSS, IQCODE, HADS, MFI-20, AES, BPAQ-24, additional scales for praxis evaluation, semantic aphasia, perception and executive function. (2) Results demonstrate different correlations between rehabilitation factors. Attention, perception, pre-stroke cognitive deficit, affective disorders, sex, age and lesion side were significant both for cognitive and for physical VR-based rehabilitation programs. Also, some other factors for VR program choosing were highlighted. (3) Conclusion: VR rehabilitation programs, based on mathematical modelling with clinical and paraclinical parameters, can provide fully controlled virtual experimental environment for cognitive and motor functions recovery and expand the recovery potential of the patient.

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Data availability statement

To avoid the situation of disclosure of confidential patient data, the database is only available upon reasonable request.

References

  1. E.Y. Tang, C.I. Price, L. Robinson, C. Exley, D.W. Desmond, S. Köhler, J. Staals, B. YinKaLam, A. Wong, V. Mok et al., Assessing the predictive validity of simple dementia risk models in harmonized stroke cohorts. Stroke 51(7), 2095–2102 (2020)

    Article  Google Scholar 

  2. S. Zhang, M. Xu, Z.-J. Liu, J. Feng, Y. Ma, Neuropsychiatric issues after stroke: clinical significance and therapeutic implications. World J. Psychiatry 10(6), 125 (2020)

    Article  Google Scholar 

  3. A. Demeco, L. Zola, A. Frizziero, C. Martini, A. Palumbo, R. Foresti, G. Buccino, C. Costantino, Immersive virtual reality in post-stroke rehabilitation: a systematic review. Sensors 23(3), 1712 (2023)

    Article  ADS  Google Scholar 

  4. Y. Tong, Z. Cheng, G.B. Rajah, H. Duan, L. Cai, N. Zhang, H. Du, X. Geng, Y. Ding, High intensity physical rehabilitation later than 24 h post stroke is beneficial in patients: a pilot randomized controlled trial (rct) study in mild to moderate ischemic stroke. Front. Neurol. 10, 113 (2019)

    Article  Google Scholar 

  5. L.R. Draaisma, M.J. Wessel, F.C. Hummel, Non-invasive brain stimulation to enhance cognitive rehabilitation after stroke. Neurosci. Lett. 719, 133678 (2020)

    Article  Google Scholar 

  6. K. Laver, S. George, S. Thomas, J. Deutsch, M. Crotty, Virtual reality for stroke rehabilitation. Cochrane Database Syst. Rev. 9 (2011)

  7. L. McCollum, J. Karlawish, Cognitive impairment evaluation and management. Med. Clin. 104(5), 807–825 (2020)

    Google Scholar 

  8. M.S. Einstad, I. Saltvedt, S. Lydersen, M.H. Ursin, R. Munthe-Kaas, H. Ihle-Hansen, A.-B. Knapskog, T. Askim, M.K. Beyer, H. Næss et al., Associations between post-stroke motor and cognitive function: a cross-sectional study. BMC Geriatr. 21(1), 1–10 (2021)

    Article  Google Scholar 

  9. C.G. Lau, W.K. Tang, X.X. Liu, H.J. Liang, Y. Liang, A. Wong, V. Mok, G.S. Ungvari, K.S. Wong, J.S. Kim et al., Poststroke agitation and aggression and social quality of life: a case control study. Top. Stroke Rehabil. 24(2), 126–133 (2017)

    Article  Google Scholar 

  10. J. Huang, F.-C. Zhou, B. Guan, N. Zhang, A. Wang, P. Yu, L. Zhou, C.-Y. Wang, C. Wang, Predictors of remission of early-onset poststroke depression and the interaction between depression and cognition during follow-up. Front. Psych. 9, 738 (2019)

    Article  Google Scholar 

  11. S. Shin, Y. Lee, W.H. Chang, M.K. Sohn, J. Lee, D.Y. Kim, Y.-I. Shin, G.-J. Oh, Y.-S. Lee, M.C. Joo et al., Multifaceted assessment of functional outcomes in survivors of first-time stroke. JAMA Netw. Open 5(9), 2233094–2233094 (2022)

    Article  Google Scholar 

  12. H.P. Adams Jr., B.H. Bendixen, L.J. Kappelle, J. Biller, B.B. Love, D.L. Gordon, E. Marsh 3rd., Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of org 10172 in acute stroke treatment. Stroke 24(1), 35–41 (1993)

    Article  Google Scholar 

  13. S.E. Kasner, Clinical interpretation and use of stroke scales. Lancet Neurol 5(7), 603–612 (2006)

    Article  Google Scholar 

  14. S. Senthilnathan, Usefulness of correlation analysis. Available at SSRN 3416918 (2019)

  15. D.G. Bonett, Point-biserial correlation: interval estimation, hypothesis testing, meta-analysis, and sample size determination. Br. J. Math. Stat. Psychol. 73, 113–144 (2020)

    Article  Google Scholar 

  16. H. Akoglu, User’s guide to correlation coefficients. Turk. J. Emerg. Med. 18(3), 91–93 (2018)

    Article  Google Scholar 

  17. R.L. Harvey, Predictors of functional outcome following stroke. Phys. Med. Rehabil. Clin. 26(4), 583–598 (2015)

    Article  MathSciNet  Google Scholar 

  18. W.-C. Chen, M.-Y. Hsiao, T.-G. Wang, Prognostic factors of functional outcome in post-acute stroke in the rehabilitation unit. J. Formos. Med. Assoc. 121(3), 670–678 (2022)

    Article  Google Scholar 

  19. I. Patsaki, N. Dimitriadi, A. Despoti, D. Tzoumi, N. Leventakis, G. Roussou, A. Papathanasiou, S. Nanas, E. Karatzanos, The effectiveness of immersive virtual reality in physical recovery of stroke patients: a systematic review. Front. Syst. Neurosci. 16, 880447 (2022)

    Article  Google Scholar 

  20. T. Rose, C.S. Nam, K.B. Chen, Immersion of virtual reality for rehabilitation—review. Appl. Ergon. 69, 153–161 (2018)

    Article  Google Scholar 

  21. W. Park, J. Kim, M. Kim, Efficacy of virtual reality therapy in ideomotor apraxia rehabilitation: a case report. Medicine 100(28) (2021)

  22. Y. Liu, W. Tan, C. Chen, C. Liu, J. Yang, Y. Zhang, A review of the application of virtual reality technology in the diagnosis and treatment of cognitive impairment. Front. Aging Neurosci. 11, 280 (2019)

    Article  Google Scholar 

  23. N. Rohrbach, C. Krewer, L. Löhnert, A. Thierfelder, J. Randerath, K. Jahn, J. Hermsdörfer, Improvement of apraxia with augmented reality: influencing pantomime of tool use via holographic cues. Front. Neurol. 1491 (2021)

  24. S. Serino, E. Pedroli, C. Tuena, G. De Leo, M. Stramba-Badiale, K. Goulene, N.G. Mariotti, G. Riva, A novel virtual reality-based training protocol for the enhancement of the “mental frame syncing’’ in individuals with alzheimer’s disease: a development-of-concept trial. Fronti. Aging Neurosci. 9, 240 (2017)

    Article  Google Scholar 

  25. A. Plechatá, V. Sahula, D. Fayette, I. Fajnerová, Age-related differences with immersive and non-immersive virtual reality in memory assessment. Front. Psychol. 10, 1330 (2019)

    Article  Google Scholar 

  26. A. Giachero, M. Calati, L. Pia, L. La Vista, M. Molo, C. Rugiero, C. Fornaro, P. Marangolo, et al.: Conversational therapy through semi-immersive virtual reality environments for language recovery and psychological well-being in post stroke aphasia. Behav. Neurol. 2020 (2020)

  27. T.A. Lepilkina, A.G. Beniashvili, R.A. Cherjomin, N.G. Malyukova, M.A. Morozova, M.A. Bogdanov, D.S. Burminsky, S.S. Potanin, S.V. Rodkina, G.E. Rupchev, et al.: Efficacy of a relaxation scenario in virtual reality for the comorbid symptoms of anxiety and asthenia in a general hospital setting: a pilot comparative randomized open-label study. Consort. Psychiatr. (2023)

  28. M.R. Donnelly, R. Reinberg, K.L. Ito, D. Saldana, M. Neureither, A. Schmiesing, E. Jahng, S.-L. Liew, Virtual reality for the treatment of anxiety disorders: a scoping review. Am. J. Occup. Ther. 75(6) (2021)

  29. V. Longley, S. Peters, C. Swarbrick, S. Rhodes, A. Bowen, Does pre-existing cognitive impairment impact on amount of stroke rehabilitation received? An observational cohort study. Clin. Rehabil. 33(9), 1492–1502 (2019)

    Article  Google Scholar 

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Funding

This study was performed within the scope of the Agreement #FZWM-2020-0013, “Priority 2030” Program.

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Authors and Affiliations

Authors

Contributions

AMT, MD, PhD—concept and design of the study, sampling of patients for the study and material processing, drafting the text; NNS, PhD—scientific management, statistical data processing; ERB, MD, PhD, DSci, professor—editing the relevance of the study section, background, body of the manuscript, literature list; MSK—statistical data processing; ASR, MD, PhD, DSci, professor—organizational management.

Corresponding authors

Correspondence to Anastasia Tynterova or Matvey Khoymov.

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Conflict of interest

The authors declare no conflict of interest.

Ethics approval

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Independent Ethical Committee of the Center for Clinical Research of Kant Baltic Federal University (Protocol No. 2 of April 27, 2021).

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Informed consent was obtained from all subjects involved in the study

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Tynterova, A., Shusharina, N., Barantsevich, E. et al. Virtual reality technology in personalized rehabilitation of patients with acute ischemic stroke. Eur. Phys. J. Spec. Top. (2024). https://doi.org/10.1140/epjs/s11734-023-01079-x

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