Effectiveness of Neurofeedback Training in Poststroke Cognitive Impairment
DOI:
https://doi.org/10.15540/nr.11.3.296Keywords:
Post-stroke cognitive impairment, neurofeedback training, quantitative electroencephalogram, MoCA-InaAbstract
Introduction. Poststroke cognitive impairment (PSCI), characterized by cognitive deficits occurring up to 3 months after stroke, poses a substantial burden because this condition can persist and get worse over time. There has been no recommended conventional cognitive rehabilitation method that has a significant effect on cognitive improvement. Neurofeedback training (NFT) based on quantitative electroencephalogram (qEEG), emerges as a promising intervention for PSCI. However, research remains limited, necessitating further investigation into its effectiveness and clinical utility. Methods. This study assesses the efficacy of NFT in eight PSCI patients over 10 sessions (30 min/session) across 2 weeks with protocol based on qEEG for each patient. Results. Significant improvements were observed in total MoCA-Ina scores (mean increase of 2.63 points), particularly in visuospatial/executive, naming, attention, language, delayed recall, and orientation domains. Wilcoxon test indicated a significant improvement (p = .019, effect size: −0, 828) post-NFT. Multivariate analysis revealed no confounding influence of demographic and clinical factors on cognitive improvement. Conclusion. These findings highlight NFT’s potential as an adjunctive therapy in PSCI rehabilitation, warranting further investigation for efficacy of NFT in larger studies and explore its long-term effects on cognitive function and quality of life for PSCI patients.
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