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.

AIM: To investigate the correlation of serum leucine-rich α-2 glycoprotein 1(LRG1)and fibroblast growth factor 21(FGF-21)levels with neovascular glaucoma(NVG).METHODS: A total of 110 cases(110 eyes)with NVG admitted to the ophthalmology department from September 2020 to September 2022 were selected as NVG group, with 23 cases of grade II, 44 cases of grade III, and 43 cases of grade IV, while 90 sex and age matched cataract patients(90 eyes)were selected as control group. The levels of LRG1, FGF-21, vascular endothelial growth factor(VEGF), pigment epithelium-derived factor(PEDF), and tumor necrosis factor-α(TNF-α)in serum were detected by ELISA; Pearson correlation analysis was used to analyze the correlation of serum LRG1 and FGF-21 levels with Teich grade, VEGF, PEDF and TNF-α levels.RESULTS: The levels of serum LRG1, FGF-21, VEGF, PEDF and TNF-α in the NVG group were significantly higher than those in the control group(all P<0.01). With the increase of Teich grading, the levels of serum LRG1, FGF-21, VEGF, PEDF and TNF-α in NVG patients significantly increased in turn(all P<0.05). Correlation analysis showed that the levels of LRG1 and FGF-21 in serum of NVG patients were positively correlated with the levels of VEGF, PEDF and TNF-α(all P<0.05).CONCLUSION: The levels of LRG1 and FGF-21 in serum of patients with NVG are obviously increased, which are positively correlated with the levels of VEGF, PEDF and TNF-α, both of which may be related to the development of NVG.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

OBJECTIVE: To investigate the association between long-term glycemic control and cerebral infarction risk in patients with diabetes through a large-scale cohort study. METHODS: This prospective, community-based cohort study included 12,054 patients with diabetes. From 2006 to 2012, 38,272 fasting blood glucose (FBG) measurements were obtained from these participants. FBG trajectory patterns were generated using latent mixture modelling. Cox proportional hazards models were applied to assess the subsequent risk of cerebral infarction associated with different FBG trajectory patterns. RESULTS: At baseline, the mean age of the participants was 55.2 years. Four distinct FBG trajectories were identified based on FBG concentrations and their changes over the 6-year follow-up period. After a median follow-up of 6.9 years, 786 cerebral infarction events were recorded. Different trajectory patterns were associated with significantly varied outcome risks (Log-Rank P < 0.001). Compared with the low-stability group, Hazard Ratio ( HR) adjusted for potential confounders were 1.37 for the moderate-increasing group, 1.23 for the elevated-decreasing group, and 2.08 for the elevated-stable group. CONCLUSION Sustained high FBG levels were found to play a critical role in the development of ischemic stroke among patients with diabetes. Controlling FBG levels may reduce the risk of cerebral infarction.
Humans ; Cerebral Infarction/blood* ; Middle Aged ; Male ; Female ; Blood Glucose/analysis* ; Fasting/blood* ; Aged ; Prospective Studies ; Risk Factors ; Diabetes Mellitus/blood* ; Adult ; Proportional Hazards Models

Objective:To describe and analyze suicide risk of patients with schizophrenia,major depressive disorder,and bipolar disorder.Methods:A total of 2 016 patients with schizophrenia,903 patients with major de-pressive disorder,and 381 patients with bipolar disorder from inpatients,clinics,or communities who met the diag-nostic criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition were recruited.All patients were interviewed by psychiatrists using the Mini International Neuropsychiatric Interview to diagnose mental disor-ders and assess suicide risk,as well as Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)to as-sess symptoms.Differences and risk factors of suicide risk among three types of mental disorders were explored u-sing multivariate logistic regression analysis.Results:In the past one month,37 patients with schizophrenia(1.8％),516 patients with major depressive disorder(57.1％),and 102 patients with bipolar disorder(26.8％)had suicide risk.Compared with patients with schizophrenia,suicide risk in patients with major depressive disorder(OR=36.50)and bipolar disorder(OR=20.10)increased.Female(OR=1.87),smoking(OR=1.76),family history of suicide(OR=5.09),higher score of CRDPSS hallucination(OR=1.80),and higher score of CRDPSS depression(OR=1.54)were risk factors of suicide risk of patients.Conclusions:Suicide risk of patients with ma-jor depressive disorder and bipolar disorder is higher than that of patients with schizophrenia.In clinical practice,it is important to regularly assess suicide risk of patients.Patients who experience symptoms of hallucination and de-pression should be paid more attention to.

AIM To investigate the variation rules of main secondary metabolites in Hedysari Radix before and after rubbing strip.METHODS UPLC-MS/MS was adopted in the content determination of formononetin,ononin,calycosin,calycosin-7-glucoside,medicarpin,genistein,luteolin,liquiritigenin,isoliquiritigenin,vanillic acid,ferulic acid,γ-aminobutyric acid,adenosine and betaine,after which cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used for chemical pattern recognition to explore differential components.RESULTS After rubbing strip,formononetin,calycosin,liquiritigenin and γ-aminobutynic acid demonstrated increased contents,along with decreased contents of ononin,calycosin-7-glucoside and vanillic acid.The samples with and without rubbing strip were clustered into two types,calycosin-7-glucoside,formononetin,γ-aminobutynic acid,vanillic acid,calycosin-7-glucoside and formononetin were differential components.CONCLUSION This experiment clarifies the differences of chemical constituents in Hedysari Radix before and after rubbing strip,which can provide a reference for the research on rubbing strip mechanism of other medicinal materials.

Objective To investigate the dietary patterns of rural residents in the high-incidence areas of esophageal cancer (EC), and to explore the clustering and influencing factors of risk factors associated with high-incidence characteristics. Methods A special structured questionnaire was applied to conduct a face-to-face survey on the dietary patterns of rural residents in Yanting county of Sichuan Province from July to August 2021. Univariate and multivariate logistic regression models were used to analyze the influencing factors of risk factor clustering for EC. Results There were 838 valid questionnaires in this study. A total of 90.8% of rural residents used clean water such as tap water. In the past one year, the people who ate fruits and vegetables, soybean products, onions and garlic in high frequency accounted for 69.5%, 32.8% and 74.5%, respectively; the people who ate kimchi, pickled vegetables, sauerkraut, barbecue, hot food and mildew food in low frequency accounted for 59.2%, 79.6%, 68.2%, 90.3%, 80.9% and 90.3%, respectively. The clustering of risk factors for EC was found in 73.3% of residents, and the aggregation of two risk factors was the most common mode (28.2%), among which tumor history and preserved food was the main clustering pattern (4.6%). The logistic regression model revealed that the gender, age, marital status and occupation were independent influencing factors for the risk factors clustering of EC (P<0.05). Conclusion A majority of rural residents in high-incidence areas of EC in Yanting county have good eating habits, but the clustering of some risk factors is still at a high level. Gender, age, marital status, and occupation are influencing factors of the risk factors clustering of EC.

Esophageal cancer is a common malignant tumor of digestive tract.Remarkable regional difference is a prominent feature of the clinical epidemiology of esophageal cancer.They are mainly manifested in incidence rate,incidence type,onset age,and gene mutation.These differences may be related to dietary habits,lifestyle,and environmental factors.In recent years,research on the regional differences in esophageal cancer has gradually deepened.This article summarizes the differences in incidence rate,incidence type,gene mutations,epigenetics,risk factors,and prognosis of esophageal cancer in different regions,including Asia(China,India,Japan,and other countries),Europe,America(the United States),Africa,and other regions.Understanding these differences can help doctors and public health experts understand the risk factors and causes of esophageal cancer and further develop highly effective prevention and treatment strategies to reduce the occurrence and mortality rate of this malignancy.

Objective:To investigate the value of systemic inflammatory response syndrome (SIRS), pediatric sequential organ failure assessment (pSOFA) and pediatric critical illness score (PCIS) in predicting mortality of pediatric sepsis in pediatric intensive care units (PICU) from Southwest China.Methods:This was a prospective multicenter observational study. A total of 447 children with sepsis admitted to 12 PICU in Southwest China from April 2022 to March 2023 were enrolled. Based on the prognosis, the patients were divided into survival group and non-survival group. The physiological parameters of SIRS, pSOFA and PCIS were recorded and scored within 24 h after PICU admission. The general clinical data and some laboratory results were recorded. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare the predictive value of SIRS, pSOFA and PCIS in mortality of pediatric sepsis.Results:Amongst 447 children with sepsis, 260 patients were male and 187 patients were female, aged 2.5 (0.8, 7.0) years, 405 patients were in the survival group and 42 patients were in the non-survival group. 418 patients (93.5%) met the criteria of SIRS, and 440 patients (98.4%) met the criteria of pSOFA≥2. There was no significant difference in the number of items meeting the SIRS criteria between the survival group and the non-survival group (3(2, 4) vs. 3(3, 4) points, Z=1.30, P=0.192). The pSOFA score of the non-survival group was significantly higher than that of the survival group (9(6, 12) vs. 4(3, 7) points, Z=6.56, P<0.001), and the PCIS score was significantly lower than that of the survival group (72(68, 81) vs. 82(76, 88) points, Z=5.90, P<0.001). The predictive value of pSOFA (AUC=0.82) and PCIS (AUC=0.78) for sepsis mortality was significantly higher than that of SIRS (AUC=0.56) ( Z=6.59, 4.23, both P<0.001). There was no significant difference between pSOFA and PCIS ( Z=1.35, P=0.176). Platelet count, procalcitonin, lactic acid, albumin, creatinine, total bilirubin, activated partial thromboplastin time, prothrombin time and international normalized ratio were all able to predict mortality of sepsis to a certain degree (AUC=0.64, 0.68, 0.80, 0.64, 0.68, 0.60, 0.77, 0.75, 0.76, all P<0.05). Conclusion:Compared with SIRS, both pSOFA and PCIS had better predictive value in the mortality of pediatric sepsis in PICU.

Objective To study the effect of Ditan Decoction combined with aripiprazole and olanzapine in the treatment of schizophrenia and its influence on serum inflammatory factors chnage.Methods Seventy-seven patients with schizophrenia meeting the requirements visiting the outpatient department and hospitalized in Dazu District Hospital of Traditional Chinese Medicine and Dazu District Mental Health Center from July 2021 to March 2023 were selected as the study subjects and divided into the observation group(n=38)and control group(n=39).The control group was treated with aripiprazole and olanzapine,and the observation group was combined with Ditan Decoction on the basis of the control group.After 8 weeks of treatment,the TCM syndrome scores,Positive and Negative Syndrome Scale(PANSS)score,serum inflammatory factors(IL-6,IL-1β,IL-17)levels were compared between the two groups.Results The total effective rate was 97.37％in the observation group and 84.65％in the control group,and the difference was statistically signifi-cant(P＜0.05).The TCM syndrome score of each item and total scores after treatment in the observation group were lower than those in the control group(P＜0.05),the PANSS positive symptoms,negative symp-toms,general psychopathology and total scores in the observation group were lower than those in the control group(P＜0.05).The IL-17,IL-6 and IL-1β levels after treatment in observation group were lower than those in the control group(P＜0.05).Conclusion Ditan Decoction combined with aripiprazole and olanzapine has significant clinical efficacy in the treatment of schizophrenia,which could further reduce the symptom score of the patients and improve the serum inflammatory factors levels.The treatment is highly safe and worthy of clinical recommendation.