Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Objective To explore the effects and mechanism of Dahuang Tangluo Pills on intestinal inflammatory injury in type 2 diabetes mellitus(T2DM)rats based on TLR4/NF-κB signaling pathway.Methods Eight ZDF(fa/+)rats were used as the blank group,and 40 ZDF(fa/fa)rats were fed with high-fat diet and then randomly divided into model group,metformin group(0.18 g/kg metformin)and TCM high-,medium-and low-dosage groups(2.16,1.08,0.54 g/kg Dahuang Tangluo Pills),respectively.The medication groups were gavaged with corresponding dosages for 12 consecutive weeks.The body mass and fasting blood glucose(FBG)of rats before and after intervention were detected.After the intervention,an oral glucose tolerance test(OGTT)was performed,the serum glucose(GLU),glycosylated serum protein(GSP),triglycerides(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)and high-density lipoprotein cholesterol(HDL-C)contents were detected.ELISA was used to detect serum fasting insulin(FINS),free fatty acids(FFA)and tumor necrosis factor-α(TNF-α),interleukin(IL)-6,IL-22,lipopolysaccharide(LPS),secreted immunoglobulin A(SIgA)contents in colonic tissue.HE staining was used to observe the morphology of colonic tissue,and Western blot was used to detect the expressions of Toll like receptor 4(TLR4),nuclear factor-κB p65(NF-κB p65),p-NF-κB p65,NF-κB inhibitor α(IκBα),p-IκBα,myeloid differentiation factor 88(MyD88)and zona pellucida protein-1(ZO-1)in colonic tissue.Results Compared with the blank group,the body mass and FBG significantly increased in the model group(P<0.01),blood glucose significantly increased at all time points of OGTT(P<0.01),serum GLU,GSP,TG,TC,LDL-C,FINS,FFA and TNF-α,IL-6,IL-22,LPS contents in colonic tissue significantly increased,serum HDL-C and colonic tissue SIgA contents significantly decreased(P<0.01),with colonic tissue nuclear condensation,cytoplasmic dissolution,inflammatory cell infiltration.The protein expressions of TLR4,NF-κB p65,p-NF-κB p65,p-IκBα and MyD88 in colonic tissue significantly increased,while the protein expressions of IκBα and ZO-1 significantly decreased(P<0.01).Compared with the model group,the body mass and FBG significantly decreased in metformin group,TCM high-and medium-dosage groups(P<0.01),blood glucose decreased at different time points of OGTT,and serum GLU,GSP,TG,TC,LDL-C,FINS,FFA and TNF-α,IL-6,IL-22,LPS contents in colonic tissue significantly decreased,serum HDL-C and colonic tissue SIgA contents significantly increased(P<0.05,P<0.01),with significant improvement in colonic tissue structure and reduction in inflammatory cell infiltration.The protein expressions of TLR4,NF-κB p65,p-NF-κB p65,p-IκBα and MyD88 in colonic tissue significantly decreased,while the proteins expression of IκBα and ZO-1 significantly increased(P<0.05,P<0.01).Conclusion Dahuang Tangluo Pills may inhibit the activation of the TLR4/NF-κB signaling pathway,reduce the release of inflammatory factors,improve intestinal inflammatory injury,restore intestinal homeostasis,thereby improving glucose and lipid metabolism and exerting therapeutic effects on T2DM.

Objective:To explore the impulsivity characteristics of patients with attention deficit hyperactivity disorder(ADHD)comorbid with borderline personality disorder(BPD)and the mediating role of emotion regula-tion strategies.Methods:A total of 96 patients with ADHD meeting the diagnostic criteria of the American Diagnos-tic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)were enrolled,48 of whom had comorbid BPD.Impulsivity was assessed with the Barratt Impulse Scale(BIS)and the impulse control difficulty dimensions of Emotional Regulation Difficulty Scale(DERS).Emotion regulation strategies were evaluated with the Emotion Regulation Questionnaire(ERQ).Results:No significant differences were found between the ADHD with and with-out BPD group in cognitive impulsivity,motor impulsivity,or non-planning impulsivity as assessed with the BIS(Ps＞0.05).However,the ADHD with BPD group showed higher scores on the DERS impulse control difficulty subscale(P＜0.001)and less frequent use of cognitive reappraisal strategies(P＜0.001).Cognitive reappraisal partially mediated the relationship between ADHD with BPD and impulse control difficulties,with an effect size of 25.9％.Conclusion:ADHD patients comorbid with BPD exhibit heightened emotional impulsivity,which might be partially mediated by reduced use of cognitive reappraisal.

OBJECTIVE: To evaluate the efficacy and safety of Shexiang Tongxin Dropping Pill (STDP) in treating stable angina patients with phlegm-heat and blood-stasis syndrome by exercise duration and metabolic equivalents. METHODS: This multicenter, randomized, double-blind, placebo-controlled clinical trial enrolled stable angina patients with phlegm-heat and blood-stasis syndrome from 22 hospitals. They were randomized 1:1 to STDP (35 mg/pill, 6 pills per day) or placebo for 56 days. The primary outcome was the exercise duration and metabolic equivalents (METs) assessed by the standard Bruce exercise treadmill test after 56 days of treatment. The secondary outcomes included the total angina symptom score, Chinese medicine (CM) symptom scores, Seattle Angina Questionnaire (SAQ) scores, changes in ST-T on electrocardiogram and adverse events (AEs). RESULTS: This trial enrolled 309 patients, including 155 and 154 in the STDP and placebo groups, respectively. STDP significantly prolonged exercise duration with an increase of 51.0 s, compared to a decrease of 12.0 s with placebo (change rate: -11.1% vs. 3.2%, P<0.01). The increase in METs was significantly greater in the STDP group than in the placebo group (change: -0.4 vs. 0.0, change rate: -5.0% vs. 0.0%, P<0.01). The improvement of total angina symptom scores (25.0% vs. 0.0%), CM symptom scores (38.7% vs. 11.8%), reduction of nitroglycerin consumption (100.0% vs. 11.3%), and all domains of SAQ, were significantly greater with STDP than placebo (all P<0.01). The changes in Q-T intervals at 28 and 56 days from baseline were similar between the two groups (both P>0.05). Twenty-five participants (16.3%) with STDP and 16 (10.5%) with placebo experienced AEs (P=0.131), with no serious AEs observed. CONCLUSION STDP could improve exercise tolerance in patients with stable angina and phlegm-heat and blood stasis syndrome, with a favorable safety profile. (Registration No. ChiCTR-IPR-15006020).
Humans ; Double-Blind Method ; Drugs, Chinese Herbal/adverse effects* ; Male ; Female ; Middle Aged ; Angina, Stable/physiopathology* ; Aged ; Syndrome ; Treatment Outcome ; Placebos ; Tablets

OBJECTIVES: To investigate the relationship between the polygenic risks for various psychiatric disorders and clinical and neuropsychological characteristics in children with attention-deficit/hyperactivity disorder (ADHD). METHODS: Using a cross-sectional design, 285 children with ADHD and 107 healthy controls were assessed using the Child Behavior Checklist, the Behavior Rating Inventory of Executive Function for parents, the Wechsler Intelligence Scale for Children, Fourth Edition, and the Cambridge Neuropsychological Test Automated Battery. Blood samples were collected for genetic data. Polygenic risk scores (PRSs) for various psychiatric disorders were calculated using the PRSice-2 software. RESULTS: Compared with the healthy controls, the children with ADHD displayed significantly higher PRSs for ADHD, major depressive disorder, anxiety disorder, and obsessive-compulsive disorder (P<0.05). In terms of daily-life executive function, ADHD-related PRS was significantly correlated with the working memory factor; panic disorder-related PRS was significantly correlated with the initiation factor; bipolar disorder-related PRS was significantly correlated with the shift factor; schizophrenia-related PRS was significantly correlated with the inhibition, emotional control, initiation, working memory, planning, organization, and monitoring factors (P<0.05). The PRS related to anxiety disorders was negatively correlated with total IQ and processing speed index (P<0.05). The PRS related to obsessive-compulsive disorder was negatively correlated with the processing speed index and positively correlated with the stop-signal reaction time index of the stop-signal task (P<0.05). CONCLUSIONS PRSs for various psychiatric disorders are closely correlated with the behavioral and cognitive characteristics in children with ADHD, which provides more insights into the heterogeneity of ADHD.
Humans ; Attention Deficit Disorder with Hyperactivity/genetics* ; Child ; Male ; Female ; Cross-Sectional Studies ; Neuropsychological Tests ; Multifactorial Inheritance ; Adolescent ; Mental Disorders/etiology* ; Executive Function ; Genetic Risk Score

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the implementation status of periodic risk evaluation reports(PRER)for medical devices in China,so as to provide references for adapting the development of vigilance system for medical device,and improving the PRER system.Methods:A questionnaire was self-designed,which was online distributed to registrants and filing persons for medical devices,domestic agent for imported medical devices,and the relevant persons of monitoring agencies for adverse events of medical device at all grades through monitoring agencies of each provincial grade in China,so as to understand the evaluation and suggestion of the relevant agencies of medical devices for the PRER work.Combined with review status and special inspection results of all monitoring agencies for PRER,and compared with guidelines of the European Union's Periodic Safety Update Reports(PSURs),the existing issues in the PRER for medical devices in China were analyzed at present.Results:A total of 4,377 valid questionnaires were returned,the respondents by 64.95%acknowledged that PRER can aid stakeholders to identify products'risks.Additionally,the respondents by 41.28%acknowledged that the medical devices of Class I and renewal registrations need be simplify in the PRER,and the respondents by 57.69%considered the frequency of writing and submitting reports should be adjusted.Conclusion:This article combined with the requirements of pilot work of vigilance for medical device,and recommended to strengthen risk analysis in PRER,and streamline reporting formats,and improve the top-level design of safety supervision after medical devices enter the market in China.These measures will promote the supervision and management system of China for medical device to integrate with international standards,and enhance the international competitiveness of the domestically medical device industry.

Objective:To analyze the effect of Y chromosome AZFc microdeletion on pregnancy outcome of intracytoplasmic sperm injection(ICSI).Methods:From 2016 to 2023,6 765 cases of oligozoospermia in our hospital were selected as the research objects.The results of Y chromosome microdeletion test were retrospectively analyzed.According to the inclusion exclusion criteria and the principle of propensity distribution 1∶2,180 patients were included in the study.Sixty patients with Y chromosome AZFc microde-letion and ICSI assisted pregnancy were enrolled into the experimental group.The other 120 patients without Y chromosome microde-letion and ICSI assisted pregnancy were included in the control group.Baseline characteristics,five male sex hormones,laboratory em-bryo culture and pregnancy outcomes were compared between the two groups.Results:There was no significant difference in male age,female age,infertility years,gravidity and parity between the two groups(P＞0.05).There was no significant difference in the five sex hormones of men(P＞0.05).Except for transplantable embryos(P＜0.05),there was no significant difference in other indi-cators in the process of embryo culture.There was no difference in pregnancy outcome indicators between the two groups except for the preterm birth rate(P＜0.05).Conclusion:ICSI assisted pregnancy with Y chromosome AZFc microdeletion has no significant effect on pregnancy outcome.And close follow-up of offspring is required.

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged