Potential of a Brain–Computer Interface for Correcting Poststroke Cognitive Impairments
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11055-023-01492-8.pdf
Reference47 articles.
1. Barbay, M., Diouf, M., Roussel, M., and Godefroy, O., “GRECOGVASC study group. systematic review and meta-analysis of prevalence in post-stroke neurocognitive disorders in hospital-based studies,” Dement. Geriatr. Cogn. Disord., 46, No. 5–6, 322–334 (2018), https://doi.org/10.1159/000492920.
2. Sun, X., Li, M., Li, Q., et al., “Poststroke cognitive impairment research progress on application of brain–computer interface,” Biomed. Res. Int., 9935192 (2022), https://doi.org/10.1155/2022/9935192.
3. Lo, J. W., Crawford, J. D., Desmond, D. W., et al., “Stroke and Cognition (STROKOG) Collaboration. Profile of and risk factors for poststroke cognitive impairment in diverse ethnoregional groups,” Neurology, 93, No. 24, 2257–2271 (2019), https://doi.org/10.1212/WNL.0000000000008612.
4. Soekadar, S. R., Birbaumer, N., Slutzky, M. W., and Cohen, L. G., “Brain–machine interfaces in neurorehabilitation of stroke,” Neurobiol. Dis., 83, 172–179 (2015), https://doi.org/10.1016/j.nbd.2014.11.025.
5. 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., 14, 591435 (2020), https://doi.org/10.3389/fnins.2020.591435.
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