Post-stroke rehabilitation training with a brain-computer interface: a clinical and neuropsychological study

Abstract

During treatment, there was an improvement in neurophysiological parameters in both groups, which was more pronounced in patients treated with cytoflavin: their P300 amplitude increased by1.3 times in the left hemisphere (from 9.21 (8.36, 10.11) to 12.41 (10.23, 13.37 μV) and 1,7 times in the right hemisphere (from 6.48 (5.26, 7.35) to 11.04 (9.29, 12.18) μV). Our study confirms the advisability of using drugs that have complex cytoprotective and energy-correcting mechanism in patients with cognitive impairment. Cytoflavin has shown the high efficacy and safety and can be recommended as part of complex therapy for cognitive disorders. Using simple and inexpensive instrumental methods (assessment of cognitive P300 evoked potential) along with diagnostic scales in patients with cognitive impairment can significantly objectify the assessment of treatment dynamics.

Progress in the Application of Brain-computer Interface Technology in Stroke Rehabilitation

“…Nolfe [24] found that BCI technology based on P300 components could predict the degree of recovery of speech disorder, and the study results showed that the amplitude of P300 was reduced in patients with speech disorder. On this basis, Kleih [25]used the P300-BCI spelling system to assess the language function of patients with speech disorder after stroke. The results showed that 4 stroke patients with speech disorder could successfully communicate with the matching speller after P300-BCI rehabilitation training, and the accuracy rate was 100%.…”

Poststroke Cognitive Impairment Research Progress on Application of Brain-Computer Interface

“…Results showed that the recognition accuracy of patients exposed to mixed BCI was significantly higher than that of those exposed to single P300 (P < 0:05) or MI (P < 0:01) BCI alone. [81,83,85,91], there are significant improvements in multiple domains of cognitive impairment, including executive ability [83,89], language ability [84], attention [87,92], visuospatial ability [91,93], and memory [85,[94][95][96]. One of the other two articles showed that mental fatigue state influenced the assessment and performance of BCI [88], while the others showed that brain-computer interface rehabilitation training was ineffective in patients after stroke.…”

“…Nolfe et al [117] suggested that P300 may predict aphasia recovery, and studies have found that the amplitude of P300 decreases in aphasia patients. On this basis, Kleih [84] used the P300-BCI spelling system to assess language functioning in patients with poststroke aphasia. The experiment included five patients with aphasia after stroke.…”

“…(3) The efficiency of BCI needs to be improved. (4) The development of a noninvasive, low-cost, easy-to-install BCI system suitable for stroke patients is also critical. In conclusion, BCI technology appears to enhance existing treatments for cognitive impairment after stroke.…”

“…An important feature of PSCI is that it is preventable and treatable [3], so it is important to explore how to improve cognitive function after strokes using modern neurorehabilitation techniques. Brain-computer interface (BCI), as a new rehabilitation technology, not only can be used to evaluate the efficacy of cognitive impairment after strokes [4] but may also be applied to the rehabilitation of cognitive ability. This is of great significance for the early diagnosis and treatment of cognitive impairment after stroke, and for preventing mild cognitive impairment from developing into vascular dementia or other diseases.…”