This paper proposes a motor imagery recognition algorithm based on feature fusion and transfer adaptive boosting (TrAdaboost) to address the issue of low accuracy in motor imagery (MI) recognition across subjects, thereby increasing the reliability of MI-based brain-computer interfaces (BCI) for cross-individual use. Using the autoregressive model, power spectral density and discrete wavelet transform, time-frequency domain features of MI can be obtained, while the filter bank common spatial pattern is used to extract spatial domain features, and multi-scale dispersion entropy is employed to extract nonlinear features. The IV-2a dataset from the 4 ^th International BCI Competition was used for the binary classification task, with the pattern recognition model constructed by combining the improved TrAdaboost integrated learning algorithm with support vector machine (SVM), k nearest neighbor (KNN), and mind evolutionary algorithm-based back propagation (MEA-BP) neural network. The results show that the SVM-based TrAdaboost integrated learning algorithm has the best performance when 30% of the target domain instance data is migrated, with an average classification accuracy of 86.17%, a Kappa value of 0.723 3, and an AUC value of 0.849 8. These results suggest that the algorithm can be used to recognize MI signals across individuals, providing a new way to improve the generalization capability of BCI recognition models.
Brain-Computer Interfaces ; Humans ; Support Vector Machine ; Algorithms ; Neural Networks, Computer ; Imagination/physiology* ; Pattern Recognition, Automated/methods* ; Electroencephalography ; Wavelet Analysis

Alzheimer's disease (AD) is the most common degenerative disease of the nervous system. Studies have found that the 40 Hz pulsed magnetic field has the effect of improving cognitive ability in AD, but the mechanism of action is not clear. In this study, APP/PS1 double transgenic AD model mice were used as the research object, the water maze was used to group dementia, and 40 Hz/10 mT pulsed magnetic field stimulation was applied to AD model mice with different degrees of dementia. The behavioral indicators, mitochondrial samples of hippocampal CA1 region and electrocardiogram signals were collected from each group, and the effects of 40 Hz pulsed magnetic field on mouse behavior, mitochondrial kinetic indexes and heart rate variability (HRV) parameters were analyzed. The results showed that compared with the AD group, the loss of mitochondrial crest structure was alleviated and the mitochondrial dynamics related indexes were significantly improved in the AD + stimulated group ( P < 0.001), sympathetic nerve excitation and parasympathetic nerve inhibition were improved, and the spatial cognitive memory ability of mice was significantly improved ( P < 0.05). The preliminary results of this study show that 40 Hz pulsed magnetic field stimulation can improve the mitochondrial structure and mitochondrial kinetic homeostasis imbalance of AD mice, and significantly improve the autonomic neuromodulation ability and spatial cognition ability of AD mice, which lays a foundation for further exploring the mechanism of ultra-low frequency magnetic field in delaying the course of AD disease and realizing personalized neurofeedback therapy for AD.
Animals ; Heart Rate/physiology* ; Mice ; Alzheimer Disease/therapy* ; Mice, Transgenic ; Mitochondrial Dynamics/radiation effects* ; Magnetic Field Therapy/methods* ; Magnetic Fields ; Disease Models, Animal ; Mitochondria ; Male ; Maze Learning ; Cognition ; Dementia/therapy*

In recent years, the ongoing development of transcranial electrical stimulation (TES) and transcranial magnetic stimulation (TMS) has demonstrated significant potential in the treatment and rehabilitation of various brain diseases. In particular, the combined application of TES and TMS has shown considerable clinical value due to their potential synergistic effects. This paper first systematically reviews the mechanisms underlying TES and TMS, highlighting their respective advantages and limitations. Subsequently, the potential mechanisms of transcranial electromagnetic combined stimulation are explored, with a particular focus on three combined stimulation protocols: Repetitive TMS (rTMS) with transcranial direct current stimulation (tDCS), rTMS with transcranial alternating current stimulation (tACS), and theta burst TMS (TBS) with tACS, as well as their clinical applications in brain diseases. Finally, the paper analyzes the key challenges in transcranial electromagnetic combined stimulation research and outlines its future development directions. The aim of this paper is to provide a reference for the optimization and application of transcranial electromagnetic combined stimulation schemes in the treatment and rehabilitation of brain diseases.
Humans ; Transcranial Magnetic Stimulation/methods* ; Transcranial Direct Current Stimulation/methods* ; Brain Diseases/therapy*

A brain-computer interface (BCI) based on motor imagery (MI) provides additional control pathways by decoding the intentions of the brain. MI ability has great intra-individual variability, and the majority of MI-BCI systems are unable to adapt to this variability, leading to poor training effects. Therefore, prediction of MI ability is needed. In this study, we propose an MI ability predictor based on multi-frequency EEG features. To validate the performance of the predictor, a video-guided paradigm and a traditional MI paradigm are designed, and the predictor is applied to both paradigms. The results demonstrate that all subjects achieved > 85% prediction precision in both applications, with a maximum of 96%. This study indicates that the predictor can accurately predict the individuals' MI ability in different states, provide the scientific basis for personalized training, and enhance the effect of MI-BCI training.
Humans ; Imagination/physiology* ; Electroencephalography/methods* ; Brain-Computer Interfaces ; Male ; Female ; Adult ; Young Adult ; Brain/physiology* ; Movement/physiology* ; Motor Activity/physiology* ; Psychomotor Performance/physiology*

OBJECTIVE: To explore the research history, hotspots and development trends of acupuncture and moxibustion in the treatment of gastroesophageal reflux disease（GERD）based on knowledge graph technology, and to provide references for clinical and basic research in this field. METHODS: The literature of acupuncture and moxibustion for gastroesophageal reflux disease was searched from the CNKI, Wanfang, VIP and SinoMed, from the establishment of the databases to December 31th, 2023. CiteSpace 6.2.R6 Advance was used to draw the knowledge graph of authors, institutions, keywords and other elements, and then perform the visual analysis. RESULTS: A total of 341 articles were included, with the number of publications showing an upward trend and the research types continually diversifying. A total of 832 authors and 308 institutions were analyzed, with XIE Sheng from the First Affiliated Hospital of Guangxi University of CM and BAI Xinghua from the Beijing University of CM as representative figures, forming core research teams. However, there was a lack of close collaboration between institutions, and no significant cross-regional research networks had been formed. A total of 192 keywords were included, forming 8 cluster labels, which mainly included 4 categories：treatment methods, disease types, TCM syndrome types, and literature types. The burst analysis showed that the methods of acupuncture and moxibustion in the treatment of gastroesophageal reflux disease had gradually become more integrated, the treatment methods had transitioned from simple acupuncture therapy to combined therapies with proton pump inhibitors or TCM decoctions, the disease types had become more refined, the focus of mechanism research had shifted from lower esophageal sphincter pressure and esophageal motility to changes in gastrointestinal hormone levels, and the research hotspots had gradually shifted from improving clinical symptoms to considering both mental and psychological states. Twenty-three high-frequency acupoints were obtained, forming 8 clusters of "acupuncture techniques-acupoints" for the treatment of gastroesophageal reflux disease with acupuncture and moxibustion, indicating a gradual enrichment of acupuncture and acupoint treatment protocols. CONCLUSION The research on acupuncture and moxibustion in the treatment of gastroesophageal reflux disease has gradually deepened, in the future, the cooperation among research teams should be strengthened, the quality of clinical research should be improved, more multi-dimensional mechanism research and horizontal comparative research of different acupuncture and moxibustion methods should be made, to provide a basis for clinical promotion and deeper exploration.
Humans ; Moxibustion/trends* ; Gastroesophageal Reflux/therapy* ; Acupuncture Therapy/trends*

Objective:To investigate the impact of immunosuppressive therapy on the severity of SARS-CoV-2 infection and cytokine levels in pediatric patients with kidney diseases.Methods:A retrospective analysis was conducted on the clinical data of 40 hospitalized pediatric patients who were diagnosed with SARS-CoV-2 infection at the 900th Hospital of PLA Joint Logistic Support Force from December 2022 to February 2023. Based on their immunosuppressive status prior to SARS-CoV-2 infection, these patients were categorized into immunosuppressive group and non-immunosuppressive group. Independent sample t-tests, Mann-Whitney U tests, and χ2 test were employed to compare the clinical baseline characteristics and laboratory data, the severity of SARS-CoV-2 infection, and the levels of cytokines between the 2 groups. Results:Among the 40 patients, 11 were in the immunosuppressive group (aged 13 (8, 14) years, 9 males and 2 females) and 29 in the non-immunosuppressive group (aged 2 (1, 4) years, 15 males and 14 females). In the immunosuppressive group, 2 were asymptomatic cases, 8 were mild cases, and 1 was moderate case, and there was no severe or critical cases. In the non-immunosuppressive group, 8 were mild cases, 5 were moderate, 15 were severe cases, 1 was critical case, and no asymptomatic cases. The underlying diseases in the immunosuppressive group included nephrotic syndrome (6 cases), IgA vasculitis nephritis (2 cases), lupus nephritis (1 case), post-renal transplantation (1 case), and renal failure (1 case), with a mean total immunosuppression score (TIS) of (3.6±1.4) points. In the non-immunosuppressive group, 2 patients had a history of epilepsy, and the remaining 27 cases had no underlying conditions, all with TIS scores of 0. Compared to the children in the non-immunosuppressive group, those in the immunosuppressive group were more likely to exhibit asymptomatic or mild infection, with lower risks of severe disease, cytokine storm, fever, and cough, but a higher risk of fatigue ( OR=1.22, 2.66, 0.48, 0.12, 0.12, 0.13, 1.22; 95% CI 0.93-1.62, 0.99-7.15, 0.33-0.70, 0.03-0.57, 0.03-0.57, 0.03-0.65, 0.93-1.62; all P<0.05). The levels of cytokine IL-6, interferon-α and interferon-γ in the immunosuppressive group were all lower than those in the non-immunosuppressive group ( Z=2.23, 2.51, 2.92, respectively; all P<0.05). Conclusion:Pediatric patients with kidney diseases receiving appropriate immunosuppressive therapy may mitigate the severity of SARS-CoV-2 infection by suppressing the expression of cytokines.

Objective To analyze the MR imaging features of patients with general paresis of the insane(GPI),characterized by bilateral hippocampal atrophy,and to explore how to improve the accuracy of early GPI diagnosis.Methods A retrospective analysis was conducted on the clinical manifestations,brain imaging data,diagnosis and treatment of 11 patients with GPI.Results Among the 11 cases,MRI showed that 9 cases had varying degrees of brain atrophy,of which 7 cases showed age-inappropriate brain atro-phy,especially bilateral hippocampal atrophy as the main sign,and the remaining 2 cases showed brain atrophy accompanied by multi-ple abnormal intracranial signals;2 cases only showed multiple abnormal intracranial signals.Conclusion MR imaging findings of GPI often manifests only age-inappropriate brain atrophy,particularly bilateral hippocampal atrophy,a feature that holds significant diagnostic value for early detection with reducing missed diagnosis rate of GPI.

Objective:To investigate the mediating role of psychological capital between the perception of decent work and work engagement among Operating Room nurses, and to provide insights for improving their work engagement.Methods:From December 2023 to February 2024, a total of 307 Operating Room nurses from four class ⅢGrade A hospitals in Beijing, Chongqing, Dalian, and Zhuhai were recruited using convenience sampling. Data were collected using a general information questionnaire, Work Engagement Scale, Decent Work Scale, and Nurses' Psychological Capital Scale. Pearson correlation analysis was conducted to examine the relationships among psychological capital, perception of decent work, and work engagement. Structural equation modeling and mediation analysis were performed using AMOS 24.0 software.Results:A total of 307 questionnaires were distributed, and 301 valid responses were collected, with an effective response rate of 98.05%. The mean scores for work engagement, perception of decent work, and psychological capital were (41.01±10.76), (67.30±17.86), and (93.30±15.15), respectively. Work engagement was positively correlated with both the perception of decent work and psychological capital (all P<0.01), and the perception of decent work was positively correlated with psychological capital ( P<0.01). Psychological capital partially mediated the relationship between the perception of decent work and work engagement, with the mediating effect accounting for 62.63%. Conclusions:Psychological capital plays a partial mediating role between the perception of decent work and work engagement among Operating Room nurses. Nursing managers can enhance nurses' work engagement by improving their perception of decent work and strengthening their psychological capital.

Objective To analyze the MR imaging features of patients with general paresis of the insane(GPI),characterized by bilateral hippocampal atrophy,and to explore how to improve the accuracy of early GPI diagnosis.Methods A retrospective analysis was conducted on the clinical manifestations,brain imaging data,diagnosis and treatment of 11 patients with GPI.Results Among the 11 cases,MRI showed that 9 cases had varying degrees of brain atrophy,of which 7 cases showed age-inappropriate brain atro-phy,especially bilateral hippocampal atrophy as the main sign,and the remaining 2 cases showed brain atrophy accompanied by multi-ple abnormal intracranial signals;2 cases only showed multiple abnormal intracranial signals.Conclusion MR imaging findings of GPI often manifests only age-inappropriate brain atrophy,particularly bilateral hippocampal atrophy,a feature that holds significant diagnostic value for early detection with reducing missed diagnosis rate of GPI.