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ObjectiveTo conduct a visualized analysis of the research related to the use of brain-computer interface technology for stroke rehabilitation in the past ten years, and identify and predict the hot spots and hot trends in order to promote the further development of this field. MethodsThe Web of Science Core Collection database was searched for literature related to brain-computer interface technology for stroke rehabilitation from January, 2011 to October, 2022. CiteSpace 5.8.R3 was used to analyze the number of publications, countries, institutions, authors, keywords, co-citations, and grant support. Results and ConclusionA total of 592 papers were included, and the annual number of publications in this field of research showed a rapid growth trend, and the research enthusiasm continued to increase. The United States was in the leading position in this field, with the highest number of cooperative publications and the highest intermediary centrality; China had certain advantages in this field, but still needed to strengthen the exchange and cooperation with other countries/regions. Foreign institutions and authors had formed a network of close cooperative relationships, and formed a high-impact team represented by Niels Birbaumer, Cuntai Guan, Kai Keng Ang, etc.; there were poor cooperative relationships among domestic authors and institutions, and there were geographical restrictions and lack of high-impact academic groups. The keywords "motor imagery" and "recovery" formed ten major clusters and 15 prominent words with high variation rates, showing a trend of diversification in research directions. The study of the efficacy of upper limb motor rehabilitation and central mechanisms has been the hot topics in this field and will continue for some time in the future; the use of lower limb brain-computer interface systems for improving foot drop, gait and balance in stroke patients and the application of multimodal brain-computer interfaces will probably become a hot topic in the future. Finally, the use of brain-computer interface-guided neurofeedback training for cognitive and language rehabilitation in stroke also needs attention.
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Autism spectrum disorder (ASD) is a multifactorial disease, with social difficulties and repetitive behaviors as its core symptoms. With the improvement of diagnostic methods, the detection rate of ASD is increasing year by year.Cognitive flexibility impairment is very obvious in most autistic patients.More and more studies have shown that cognitive flexibility impairment is related to the occurrence and development of core symptoms. However, the mechanism of cognitive flexibility impairment in autism remains unclear. The frontal lobe plays an important role in advanced cognition, and its complete development is related to cognitive function. Recent studies have shown that frontal lobe dysfunction is closely related to cognitive flexibility deficits in autistic patients, and the abnormal changes in the frontal lobe, the associated default mode network dysfunction and frontal striatal circuit defects may be the important mechanisms of cognitive flexibility impairment. Based on the recent clinical and basic studies on cognitive flexibility in autism, this article reviews the mechanisms of frontal lobe and related circuits involved in the impairment of cognitive flexibility in autism.