Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective:This study aimed to investigate the value of myocardial contrast echocardiography(MCE)in the prognostic assessment of patients undergoing revascularization for acute anterior ST-segment elevation myocar-dial infarction(STEMI).Methods:A total of 234 patients with acute anterior STEMI who underwent percutaneous coronary intervention(PCI)and completed MCE admitted in Dongguan People's Hospital between July 1st 2019 and October 1st 2021 were included.According to presence of major adverse cardiovascular events(MACE)during 6 months,patients were divided into no MACE group(n=188)and MACE group(n=46).General data and MCE indexes were compared between the two groups.Multivariate Logistic regression analysis was employed to analyze influencing factors for MACE in patients with acute anterior STEMI after PCI.Receiver operating characteristic(ROC)curve was applied to analyze predictive value of MCE indexes for MACE in patients with acute anterior STE-MI after PCI.Results:Compared with patients in no MACE group,those in MACE group had significant higher proportion of previous myocardial infarction,D-dimer,C reactive protein,B-type natriuretic peptide,creatine kinase isoenzyme MB(CK-MB),incidence of T-wave inversion and ST-segment resolution amplitude(P＜0.05 or＜0.01).MCE showed that compared with those in no MACE group,those in MACE group had significant lower left ventricular ejection fraction(LVEF)[(52.54±7.66)％ vs.(55.98±10.04)％],and significant higher wall motion score index(WMSI)[(1.22±0.13)vs.(1.17±0.15)]and contrast score index(CSI)[(1.54±0.32)％vs.(1.16±0.21)％](P＜0.05 or＜0.01).Multivariate Logistic regression analysis revealed that previous myocar-dial infarction,C-reactive protein,CSI and T-wave inversion were independent risk factors for MACE in patients with acute anterior STEMI after PCI(OR=13.790～6601.747,P＜0.05 or＜0.01).ROC curve indicated that CSI had good predictive value for MACE in patients with acute anterior STEMI after PCI,the area under curve(AUC)was 0.874(95％CI 0.825～0.914)and optimal cutoff point was 1.33％.Conclusion:Myocardial contrast echocardiography plays an important role in prognostic assessment of patients undergoing revascularization for acute anterior STEMI.

Objective:To explore the role and mechanism of intestinal endotoxemia in the development of hepatopulmonary syndrome in rats.Methods:Rats were randomly divided into Experimental Group(N=10)and Control Group(N=10),and the rat model of Hepatopulmonary Syndrome was established by common bile duct ligation(CBD),and the contents of endotoxin,TNF-α and IL-6 were measured.Rat lung microvascular endothelial cells were isolated and cultured in vitro.Endotoxin induced the activation and proliferation of these cells,and the levels of TNF-α and IL-6 were detected.Results:The level of endotoxin in rats with hepatopulmonary syndrome was significantly elevated,which induced the production of TNF-α and IL-6,causing pulmonary vasodilation and hypoxemia.Conclusions:Intestinal endotoxemia plays an important role in the development of Hepatopulmonary Syndrome,and its possible mechanism is to induce pulmonary microvascular endothelial cells to produce a variety of inflammatory cytokines and to promote the development of pulmonary vasodilation and Hepatopulmonary Syndrome.It provides key experimental evidence and potential targets for the prevention and treatment strategies of hepatopulmonary syndrome.

Objective To carry out quality inspection of the ultrasound soft tissue cutting hemostatic equipment to ensure its safety and effectiveness.Methods Five brands of ultrasound soft tissue cutting hemostatic equipment were selected and noted as test equipment A,test equipment B,test equipment C,test equipment D and test equipment E,which underwent quality inspection in terms of tip main amplitude,tip lateral amplitude,tip vibration frequency,excitation frequency,static electrical power and contact current based on YY/T 0644-2008 Ultrasonics-surgical systems—Measurement and declaration of the basic output characteristics,YY/T 1750-2020 Ultrasonic surgical equipmetn for soft tissue excision and hemostasia and GB 9706.1-2020 Medical electrical equipment—Part 1:General requirements for basic safety and essential performance.Results The test data of the five brands in terms of tip main amplitude,tip lateral amplitude,tip vibration frequency,excitation frequency,static electrical power and contact current met the technical requirements of YY/T 0644-2008,YY/T 1750-2020,GB 9706.1-2020.Conclusion The quality inspection of the ultrasound soft tissue cutting hemostatic equipment contributes to enhancing the accuracy and stability of the equipment and decreasing the risk during its clinical application.[Chinese Medical Equipment Journal,2025,46(10):49-53]

This study was aimed at comparing the effects of storage conditions on the Brucella survival number in brain heart infu-sion medium,to provide experimental data support for the selection of storage conditions for Brucella strains.We created bacterial sus-pensions of seven strains of Brucella melitensis,Brucella abortus,and Brucella suis(denoted A,B,C,D,E,F,G)by using 30%glycerol brain heart infusion medium,then conducted stability testing.For accelerated stability tests,the bacterial solution was placed in a 37℃chamber for 1,2,3,or 4 weeks continuously,and the Brucella survival number at each time point was measured.For freeze-thaw stability testing,the bacterial solutions were frozen at-80℃,transferred to room temperature for 4 hours,and melted in one freeze-thaw cycle,and the Brucella survival number was measured for 2,4,6,and 8 freeze-thaw times.For long-term stability testing,the bacterial solutions were stored at-80℃,and the Brucella survival number was measured at various time points during the first,third,sixth,and twelfth months of storage.A line graph was plotted to demonstrate the changes in Brucella survival number at each time point in the three stability tests.IBM SPSS Statistics 22 software was used to assess statistically significant differences in Brucella survival number at each time point and the initial Brucella survival number.Accelerated stability tests showed that the Bru-cella survival number of the seven strains significantly decreased,and a statistically significant difference in Brucella survival number was observed after 1 week.In freeze-thaw stability tests,with increasing freeze-thaw times,the Brucella survival number of the seven strains showed a decreasing trend.Strains C and F showed statistically significant differences with respect to the initial Brucella sur-vival number after two times of freeze-thaw;strains A and D showed statistically significant differences with respect to the initial Bru-cella survival number after four times of freeze-thaw;strain G showed statistically significant differences with respect to the initial Bru-cella survival number after six times of freeze-thaw;and strain E showed statistically significant differences with respect to the initial Brucella survival number after eight times of freeze-thaw.The data for strain B showed abnormalities.In long-term stability testing,the Brucella survival number for strains C and F after storage for 1 month showed a statistically significant difference with respect to the initial bacterial solution.No statistically significant difference in Brucella survival number was observed for strains B and E after stor-age for 1,3,6,or 12 months.The data for strains A,D,and G showed abnormalities.The sterile 30%glycerol brain heart infusion medium maintained the Brucella survival number in an-80℃environment,and freezing and thawing multiple times should be avoided.Compared with the traditional freeze-drying method,this method is not only easy to perform but also avoids potential bio-safety hazards,and provides a reliable Brucella culture preservation scheme for researchers in related fields.