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*

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*

BACKGROUND:Transcranial magneto-acoustical electrical stimulation(TMAES)is a non-invasive,high-precision neurofocused stimulation method based on magneto-acoustic coupling electrical effect,which can regulate the rhythmic oscillation of nerve activity,thereby affecting the brain's movement,cognition and other functions. OBJECTIVE:To explore the effect of TMAES on beta oscillations in the neural circuits of healthy rats and Parkinson's rats. METHODS:(1)Animal experiments:Twenty-four Wistar rats were randomly divided into four groups(n=6 per group).The rats in the normal control group received no intervention,while those in the normal stimulation group received TMAES(the average spatial peak pulse intensity:13.33 W/cm2,fundamental frequency:0.4 MHz,the number of fundamental wave cycles:1000,and pulse frequency:200 Hz).The model control group and model stimulation group were established by intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine.After successful modeling,the rats in the model control group received sham TMAES stimulation in the prefrontal cortex,and those in the model stimulation group received TMAES in the prefrontal cortex,and the duration of stimulation was 2.0 minutes per day.After an interval of 8-10 minutes,the local field potential signals of rats were collected during the execution of T-maze test and the correct rate of behavior was recorded at the same time to compare and analyze the time-frequency distribution of local field potential signals and behavioral differences among the groups.The stimulation experiment and T-maze test were stopped when the correct rate of rats was higher than 80%for 3 consecutive days.(2)Modeling and simulation experiments:The cortical-basal ganglion circuit model under TMAES was established,and the ultrasonic emission period(5,10,20 ms),ultrasonic emission duty cycle(30%,50%,90%)and induced current density(20,50,100 μA/cm2)were changed respectively to compare the power spectral density values of beta oscillations in healthy rats and Parkinson's rats under different stimulation parameters. RESULTS AND CONCLUSION:(1)Animal experiments:The spatial learning ability of the rats in the normal control group was stronger than that of the model control group(P＜0.001),the spatial learning ability of the rats in the normal stimulation group was stronger than that of the normal control group(P＜0.05),and the spatial learning ability of the rats in the model stimulation group was stronger than that of the model control group(P＜0.01).The distribution of beta oscillation energy in the normal control group was more concentrated,and the beta oscillation signal energy was reduced in the normal stimulation group compared with the normal control group.The beta oscillation energy was widely distributed and the energy value was significantly higher in the model control group and the model stimulation group than the normal control and normal stimulation groups.Moreover,the beta oscillation signal energy in the model stimulation group was significantly lower than that in the model control group.(2)Modeling and simulation experiments:the peak power spectral density of the beta band of healthy rats without stimulation(30 dB)was significantly lower than that of Parkinson's rats(55 dB).The power spectral density value generally decreased after stimulation.The peak power spectral density in the beta band was positively correlated with the ultrasonic emission period and negatively correlated with the induced current density.In addition,the peak power spectral density value was the lowest when the duty cycle of ultrasonic emission was 50%.These findings indicate that TMAES suppresses beta oscillations in healthy and Parkinson's disease rats,thereby improving motor function and decision-making cognitive function in rats.

Objective:To investigate the predictive value of early thyroid function changes on the efficacy of patients with Graves′ disease (GD) after 131I therapy. Methods:Data of patients with GD (59 males, 214 females; age (37.4±11.4) years) who underwent single therapy of 131I in Tianjin Medical University General Hospital from November 2017 to January 2019 were retrospectively analyzed. Symptoms, signs and laboratory tests (serum free triiodothyronine (FT 3) and serum free thyroxine (FT 4)) of patients were observed to assess the efficacy of 131I treatment. Efficacy was divided into complete remission (CR), partial remission (PR), non-remission (NR) or relapse. The changes of thyroid function (ΔFT 3=FT 3 before treatment-FT 3 after treatment)/FT 3 before treatment×100%; ΔFT 4=FT 4 before treatment-FT 4 after treatment)/FT 4 before treatment×100%) 1 month after 131I therapy in each efficacy group and differences among them were compared by using independent-sample t test, χ2 test, one-way analysis of variance and the least significant difference t test. ROC curves were drawn to analyze the predictive values of early thyroid function changes on the efficacy of 131I treatment for GD. Logistic regression analyses were performed to identify the influencing factors for the efficacy of 131I therapy. Results:CR rate and total effective rate of 273 GD patients after single therapy of 131I were 67.03%(183/273) and 92.67%(253/273), respectively. After 1 month, CR rate of euthyroidism group ( n=95) was significantly higher than that of hyperthyroidism group ( n=178; 81.05%(77/95) vs 59.55%(106/178); χ2=4.60, P=0.032). ΔFT 3 and ΔFT 4 at the first month were statistically significant and decreased sequentially in the CR group ( n=183), PR group ( n=70), NR or relapse groups ( n=20; F values: 15.40, 12.54, both P<0.001). ROC curve analysis showed that patients with ΔFT 3≥73.64% and (or) ΔFT 4≥59.03% had a higher probability of achieving CR, with sensitivities of 84.3% and 86.7%, and specificities of 62.6% and 62.6%, respectively. Logistic regression analysis showed that 24 h radioactive iodine uptake (odds ratio ( OR)=1.095, 95% CI: 1.031-1.139), dose of 131I given per gram of thyroid tissue ( OR=1.562, 95% CI: 1.321-1.694), ΔFT 3 ( OR=1.354, 95% CI: 1.295-1.482), ΔFT 4 ( OR=1.498, 95% CI: 1.384-1.608) were factors affecting the outcome of patients with GD treated with 131I treatment (all P<0.05). Conclusion:Effects of 131I treatment can be predicted based on the change of the thyroid function at the first month after 131I treatment in patients with GD.

OBJECTIVE To identify the chemical constituents of Rhamni Songoricae Fructus and to establish their fingerprints and the method for simultaneous determination of four constituents to comprehensively evaluate the quality of Rhamni Songoricae Fructus. METHODS The chemical constituents in Rhamni Songoricae Fructus were qualitatively analyzed by ultra-performance liquid chromatography quadrupole-time-of-flight tandem mass spectrometry. The fingerprints of 15 batches of Rhamni Songoricae Fructus were established by HPLC and chemometric analysis was performed by using SPSS 26.0 and SIMCA 14.1 software； the contents of quercetin， kaempferol， kaempferide and emodin were determined by the same method. RESULTS A total of 35 constituents were identified， including 28 kinds of flavonoids， 5 kinds of anthraquinones and 2 kinds of organic acids. A total of 19 common peaks were identified in the HPLC fingerprints， recognizing quercetin， kaempferol， kaempferide and emodin. The similarities between HPLC fingerprints of 15 batches of samples and control chromatograms were greater than 0.9. The results of cluster analysis showed that 15 batches of samples were divided into 2 classes， of which S1-S5， S7 and S9 were one class and the rest were one class， similar to the results of principal component analysis. The results of the orthogonal partial least squares- discriminant analysis showed that the variable importance projections of peaks No. 2， 6， 1， 11 （quercetin）， 3， 14， 8， 10， 19 （emodin）， 5 were all greater than 1. The contents of quercetin， kaempferol， kaempferide and emodin ranged from 0.710 to 10.478 mg/g， 0.236 to 0.660 mg/g， 0.334 to 3.039 mg/g， and 0.261 to 0.504 mg/g. CONCLUSIONS The constructed chemical constituent identification， fingerprint and content determination methods are simple， feasible and reproducible， which combined with chemometric analysis can be used for comprehensive evaluation of the quality of Rhamni Songoricae Fructus.

Objective:To summarize the best evidence for the evaluation and management strategies of adolescent non-suicidal self-injury, and provide a basis for medical staff to carry out standardized evaluation and management of adolescent non suicidal self injury.Methods:According to evidence-based nursing methods and the "6S"evidence pyramid model, the evidences of non-suicidal self-injury in adolescents, including guidelines, standards, case report, evidence summary, randomized controlled trial (RCT) , systematic review, clinical practice and other evidences were searched in BMJ Best Practice, UpToDate, World Health Organization, National Institute for Health and Care Excellence, National Guidelines Clearinghouse, Registered Nurses ' Association of Ontario, Scottish Intercollegiate Guidelines Network, American College of Physicians Club, Australian Joanna Briggs Institute (JBI) Evidence-based Health Care Center Library, Cochrane Library, PubMed, Embase, PsycINFO, China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Database, Medlive and other databases. The retrieval period was from the establishment of the databases to June 30, 2022. The quality evaluation of the articles was evaluated by two researchers trained in the evidence-based curriculum. Included studies were pre-graded using the Australian JBI Evidence-based Health Centre Evidence pre-grading system and the Evidence Recommendation Level System (2014 edition) . Results:Finally, a total of 18 articles were included, including 5 guidelines, 2 standards, 1 case report, 1 evidence summary, 3 systematic reviews, 1 Meta-analysis, 2 clinical practices and 3 RCT studies. A total of 22 pieces of best evidence were summarized from 6 dimensions, such as screening and assessment, multi-professional and multi-form intervention strategies, training and education, self-management strategies, disposal after self-injury treatment and follow-up.Conclusions:The best evidence based on evidence-based assessment and management strategies of adolescent non-suicidal self-injury is scientific and practical, which can provide reference for the clinical practice of adolescent non-suicidal self-injury.