Brain age prediction, as a significant approach for assessing brain health and early diagnosing neurodegenerative diseases, has garnered widespread attention in recent years. Electroencephalogram (EEG), an non-invasive, convenient, and cost-effective neurophysiological signal, offers unique advantages for brain age prediction due to its high temporal resolution and strong correlation with brain functional states. Despite substantial progress in enhancing prediction accuracy and generalizability, challenges remain in data quality and model interpretability. This review comprehensively examined the advancements in EEG-based brain age prediction, detailing key aspects of data preprocessing, feature extraction, model construction, and result evaluation. It also summarized the current applications of machine learning and deep learning methods in this field, analyzed existing issues, and explored future directions to promote the widespread application of EEG-based brain age prediction in both clinical and research settings.
Humans ; Electroencephalography/methods* ; Brain/physiology* ; Machine Learning ; Aging/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

The coupling analysis of continuous physiological signals is a crucial tool for revealing the dynamic activities and interactions within physiological systems. To gain a deeper understanding of the coupling relationships between physiological systems, this paper provides a comprehensive review of recent research on coupling analysis methods for continuous physiological signals, both domestically and internationally. It focuses on various coupling analysis techniques, including time-domain, frequency-domain, time-frequency-domain and nonlinear methods, and explores their applications in the coupling assessment of different physiological systems. Finally, the paper discusses the limitations of these methods and their future development trends. By systematically reviewing the current methods of continuous physiological signal coupling analysis, this paper aims to provide valuable references for further research on coupling evaluation methods for physiological systems.
Signal Processing, Computer-Assisted ; Humans

Objective In this study,we analyzed the transcriptome sequences of Kupffer cells exposed to simulated microgravity for 3 d and conducted biological experiments to determine how microgravity initiates apoptosis in Kupffer cells. Methods Rotary cell culture system was used to construct a simulated microgravity model.GO and KEGG analyses were conducted using the DAVID database.GSEA was performed using the R language.The STRING database was used to conduct PPI analysis.qPCR was used to measure the IL1B,TNFA,CASP3,CASP9,and BCL2L11 mRNA expressions.Western Blotting was performed to detect the level of proteins CASP3 and CASP 9.Flow cytometry was used to detect apoptosis and mitochondrial membrane cells.Transmission electron microscopy was used to detect changes in the ultrastructure of Kupffer cells. Results Transcriptome Sequencing indicated that simulated microgravity affected apoptosis and the inflammatory state of Kupffer cells.Simulated microgravity improved the CASP3,CASP9,and BCL2L11 expressions in Kupffer cells.Annexin-V/PI and JC-1 assays showed that simulated microgravity promoted apoptosis in Kupffer cells.Simulated microgravity causes M1 polarization in Kupffer cells. Conclusion Our study found that simulated microgravity facilitated the apoptosis of Kupffer cells through the mitochondrial pathway and activated Kupffer cells into M1 polarization,which can secrete TNFA to promote apoptosis.

In recent years, the research focus on health-related behavior and chronic non-communicable diseases has shifted from the analysis on independent effects of multiple causes on a single outcome to the evaluation the complex relationships between multiple causes and multiple effects. Complex network theory, an important branch of system science, considers the relationships among factors in a network and can reveal how health-related behaviors interact with chronic diseases through a series of complex network models and indicators. This paper summarizes the definition and development of complex network theory and its commonly used models, indicators, and case studies in the field of health-related behavior and chronic disease to promote the application of complex network theory in the field of health and provide reference and tools for future research of the relationship between health-related behavior and chronic disease.

Objective:To analyze the effect of long-term care insurance on the incidence of falls in old people with disability, and the modification effect of different living arrangements.Methods:Based on the discharge diagnosis records of the hospitalization in urban residents who applied for long-term care insurance in Chengdu from July 2014 to June 2021, those who received long-term care insurance were selected as the intervention group and those who received no long-term care insurance were selected as the control group, the changes in the incidence of falls before and after the long-term care were analyzed using difference-in-differences method, and the modification effects of different living arrangements were explored using stratified analysis.Results:Long-term care insurance significantly reduced the risk for monthly incidence of falls in older adults [average treatment effects on treated (ATT) = -1.21% (95% CI: -1.82%--0.60%)], and the effect increased over time (ATT=-1.26%, 95% CI: -1.93%--0.59%). Long-term care insurance had a significant effect on reducing the incidence of falls in old people living with spouses/family members (ATT=-0.92%, 95% CI: -1.47%--0.37%) and in nursing facilities/hospitals (ATT=-2.10%, 95% CI: -3.81%--0.40%), but it had no significant effect in those living alone. Conclusions:Long-term care insurance can effectively reduce the incidence of falls in old people with disability, showing a positive effect. Living with family members or in nursing facilities/hospitals has a modification effect of the implementation of long-term care insurance policy. It is necessary to pay attention to key populations in the future and expand the coverage of long-term care insurance.

[Objective]To evaluate the efficacy and safety of total oral regimens containing pomalidomide as a second-line treatment strategy in multiple myeloma.[Methods]A total of 22 patients with multiple myeloma placed on total oral regimens containing pomalidomide as a second-line therapy from March 2020 to December 2023 were retrospectively analyzed to evaluate the treatment response,survival and safety.[Results]The median age of the 22 patients was 71.5 years old. The total oral treatment regimens containing pomalidomide included IPD (7 cases),PCD (11 cases),XPD (2 cases),and PD (2 cases). The median number of treatment cycles was 14. Among the 13 patients with prior lenalidomide exposure,ORR was 53.85％,of which 23.08％ was ≥VGPR. In 9 patients without prior lenalidomide exposure,the ORR was 77.78％,and of which 55.56％ was ≥VGPR. There was no significant difference in ORR between these two groups (P=0.38). In 12 patients with high genetic risk,the ORR was 50％,and ≥VGPR was 16.67％. The median follow-up time was 10.6 months. Disease progressed in 10 patients and death occurred in 6 patients of them. The median progression free survival (PFS) was not reached (not reached and 10.6 months in non-lenalidomide-exposure patients or lenalidomide-exposure patients,respectively).The high grade treatment-related adverse events (AEs)(≥3 ) were reported in 18.18％ patients,including granulocytopenia,thrombocytopenia,and pulmonary infection. There was no treatment-related death.[Conclusion]Total oral regimens containing pomalidomide as a second-line therapy is generally effective and safe for multiple myeloma patients.

BACKGROUND:Currently,there have been a variety of conservative and surgical treatment plans for spontaneous osteonecrosis of the knee,achieving excellent results.However,a broad consensus on indication and guide of surgical treatment has not been announced.In clinical practice,there is still a misunderstanding that unicondylar replacement or total knee arthroplasty should be performed upon the discovery of spontaneous osteonecrosis of the knee,while an urgent need for universal access to the concept of stepwise therapy. OBJECTIVE:To summarize and find the factors leading to the poor effect of conservative treatment in spontaneous osteonecrosis of the knee,which occurred on the medial femoral condyle,from the literature and clinical cases,at the same time,combined with the Koshino stage,to propose the strategy of stepwise spontaneous osteonecrosis of the knee treatment on the medial femoral condyle. METHODS:A systematic search of the literature database was conducted to summarize the factors leading to poor outcomes of conservative treatment in spontaneous osteonecrosis of the medial femoral condyle.Meanwhile,according to the Clinical&Health Records for analytics&Sharing system,the cases receiving conservative and surgical treatment in spontaneous osteonecrosis of the medial femoral condyle in the Department of Orthopedics of Guangdong Provincial Hospital of Chinese Medicine from January 2017 to January 2023 were analyzed retrospectively,then the causes of success and failure in typical cases were summarized and analyzed. RESULTS AND CONCLUSION:(1)Early diagnosis and treatment of spontaneous osteonecrosis of the knee were very important for prognosis.For sudden knee pain in some patients,if no obvious abnormality was found in the X-ray examination,and the symptoms persisted and could not be relieved for more than 1 week,an MRI examination was recommended to detect early spontaneous osteonecrosis of the knee.(2)The X-ray images of Koshino stage 1 and stage 2 of spontaneous osteonecrosis of the medial femoral condyle were difficult to be distinguished,which needed to be probed by MRI.MRI images of Koshino stage 1 were mainly characterized by bone marrow edema,and an osteonecrosis area with a clear boundary was not formed,while MR images of Koshino stage 2 showed a necrotic area with a clear boundary.(3)Five factors leading to the poor effect of conservative treatment on spontaneous osteonecrosis of the medial femoral condyle were summarized:a.The necrotic area was＞5 cm2;b.The necrotic area accounted for more than 40%of the condyle;c.relative compression percentage of medial meniscus≥33%(with or without medial meniscus injury and subchondral bone marrow edema);d.MRI depth of necrotic area(anterior-posterior diameter of sagittal necrotic area)＞20 mm;e.varus deformity of lower limb＞6°.(4)Conservative treatment of spontaneous osteonecrosis of the knee in Koshino stage 1 was good.For spontaneous osteonecrosis of the knee in Koshino stage 2,conservative treatment was preferred or combined with drilling decompression.If there was no relief or improvement of symptoms or in MRI after 3 months,while the patient had any of the previous five factors,then knee preservation surgery should be considered.For spontaneous osteonecrosis of the knee in Koshino stage 3 and stage 4,knee preservation surgery should be selected based on the previous five factors,including age,gender and activity level of the patient.Total knee arthroplasty was used for spontaneous osteonecrosis in Koshino stage 4,which was associated with symptomatic patellofemoral arthritis,valgus alignment,or necrotic area,which greatly affected the stability of unicondyle prosthesis.

To explore the status and characteristics of clinical trials of therapeutic cancer vaccines, and provide the overall trend of clinical translational research of therapeutic cancer vaccines.

To explore the status and characteristics of clinical trials of therapeutic cancer vaccines, and provide the overall trend of clinical translational research of therapeutic cancer vaccines.

Purpose/Significance To deeply analyze the research progress on the application of medical knowledge graph in the field of stroke,to discuss the problems of the development of stroke knowledge graph in China,and to put forward suggestions for the construc-tion of stroke knowledge graph.Method/Process By reviewing and analyzing the relevant literature,the application of medical knowledge graph in the field of stroke is sorted out and summarized.Result/Conclusion There are still many deficiencies in the development of stroke knowledge graph in China,and in the future,in-depth research can be carried out from four aspects,namely,expanding the ap-plication scope of knowledge graph,promoting the fusion of knowledge graph,developing more efficient algorithms,and upgrading to cog-nitive graph by joint artificial intelligence(AI).