ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Objective To investigate the application value of spectral computed tomography venography(CTV)in the display and staging of deep venous thrombosis(DVT)in the lower extremity.Methods Eighty-two patients with CTV were selected and ran-domly divided into group A(42 patients)and group B(40 patients).Group A:tube voltage 120 kVp.Group B:gemstone spectral ima-ging(GSI)mode,reconstruction of 50 keV and iodine(water)maps.The CT and standard deviation(SD)values of the veins were measured,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated in 120 kVp images of group A and in 50 keV images of group B.Two observers scored the image quality of the 2 groups subjectively,and Kappa test was used to examine the con-sistency.Based on the duration from the occurrence of clinical symptoms,the DVTs were classified.The CT values and iodine con-centration(IC)of DVT were measured in the 120 kVp images of group A and in the iodine(water)maps of group B,respectively.The receiver operating characteristic(ROC)curve was drawn to compare the effectiveness of CT values and IC in diagnosing DVT staging.Results CT values,SNR,and CNR of veins in group B were higher than those in group A(P<0.05).The subjective scores of the two groups were consistent(Kappa=0.926-0.955,P<0.05).The score for the display of veins and thrombus clarity in group B was 5(4,5),which was better than the score of 4(3,4)in group A(P<0.05).The efficiency of IC in diagnosing DVT staging[area under the curve(AUC)=0.973]was better than that of CT values(AUC=0.891).Conclusion The spectral CTV can improve the contrast of lower extremity deep veins and the clarity of thrombus,and can provide more objective indicators for the diagnosis of thrombus staging,which is conducive to accurate clinical diagnosis and treatment.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Circular RNAs (circRNAs) are a kind of non-coding RNA (ncRNA) with covalent closed-loop structure. They have attracted more and more attention because of their high stability, evolutionary conservatism, and tissue expression specificity. It has shown that circRNAs are involved in the development of a variety of diseases including malignant tumors recently. Nasopharyngeal carcinoma (NPC) is a malignant tumor that occurs in the nasopharynx and has a unique ethnic and geographical distribution in South China and Southeast Asia. Epstein-Barr virus (EBV) infection is closely related to the development of NPC. Radiotherapy and chemotherapy are the mainstays of treatment for NPC. But tumor recurrence or distant metastasis is the leading cause of death in patients with NPC. Several studies have shown that circRNAs, as gene expression regulators, play an important role in NPC and affect the progression of NPC. This review mainly summarized the research status of abnormally expressed circRNAs in NPC and EBV-encoded circRNAs. We also discussed the possibility of circRNAs as a therapeutic target, diagnostic and prognostic marker for NPC.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective:To assess the effectiveness and feasibility of carrier detection for Spinal muscular atrophy (SMA) by using digital PCR assay.Methods:Peripheral blood samples were collected from 214 pregnant women who were routinely screened for SMA carriers, of which 204 were randomly selected samples and 10 were samples with known copy numbers of SMN1 exons 7 and 8. Samples with known copy numbers of SMN1 exons 7 and 8 were randomly mixed into the experiment to validate the performance of the digital PCR assay. The copy numbers of SMN1 exons 7 and 8 and SMN2 exons 7 and 8 in peripheral blood samples were detected by digital PCR assay. The results of SMN1 exons 7 and 8 were compared with those of the quantitative PCR method to assess the reliability and clinical performance of the digital PCR assay. Results:Among the 204 random samples, digital PCR has detected five samples with simultaneous heterozygous deletion of SMN1 exons 7 and 8, three samples with heterozygous deletion of SMN1 exon 8 only, and 196 samples with no deletion of SMN1 exons 7 and 8. Ten samples with known SMN1 exons 7 and 8 copy numbers were detected with the expected values. The digital PCR test results were fully consistent with that of the quantitative PCR. Conclusion:The results of digital PCR for the detection of copy number variation of SMN1 exons 7 and 8 were consistent with qPCR. Digital PCR assay was able to clearly distinguish the copy number of the target genes, therefore can be used for SMA carrier screening. Moreover, it can also detect copy number of SMN2 exons 7 and 8, which can provide more information for genetic counseling.

Objective:To evaluate the effect of ultrasound-guided adductor canal combined with knee joint posterior capsule space block on the recovery period delirium in elderly patients undergoing total knee arthroplasty (TKA).Methods:A total of 68 elderly patients who underwent unilateral TKA at the Nanjing First Hospital from December 2021 to December 2022 were selected. They were randomly divided into a control group ( n=34) and an observation group ( n=34) using a random number table method. Both groups received general anesthesia, and the observation group received ultrasound-guided myofascial tube combined with knee joint posterior capsule space block before the surgery began. The incidence of delirium within 24 hours after surgery was mainly observed in two groups of patients. The surgical time, recovery time, intraoperative blood loss, infusion volume, total use of propofol and remifentanil were recorded; The resting and motor Visual Analogue Scale (VAS) scores of the patient were recorded at 4, 8, and 24 hours postoperatively. The patient′s serum tumor necrosis factor-α (TNF-α) and melatonin levels were measured on the day before surgery, the evening after surgery, and the first day after surgery. The subjective sleep quality score was recorded on the first day after surgery; The total dosage of sufentanil for patient-controlled intravenous analgesia (PCIA) within 24 hours after surgery, the effective number of compressions (P1) and actual number of compressions (P2) of PCIA, and the number of cases of additional oxycodone analgesia were recorded; The occurrence of respiratory depression, excessive sedation, nausea, and vomiting within 24 hours after surgery was recorded; The occurrence of complications of nerve block in the observation group was recorded. Results:The incidence of delirium during the recovery period in the observation group was lower than that in the control group ( P<0.05). The dosage of propofol and remifentanil in the observation group was lower than that in the control group (all P<0.05), and the awakening time was shorter than that in the control group ( P<0.05). The VAS scores at rest and exercise at 4, 8, and 24 hours after surgery in the observation group were lower than those in the control group (all P<0.05). Compared with the day before surgery, the observation group showed an increase in melatonin levels on the night after surgery ( P<0.05) and an increase in TNF-α levels on the first day after surgery ( P<0.05); The control group had a decrease in melatonin levels on the first day after surgery ( P<0.05), and an increase in TNF-α levels on the night and day after surgery (all P<0.05). The serum melatonin levels in the observation group were higher than those in the control group on the evening and first day after surgery (all P<0.05), and TNF-α levels were lower than those in the control group (all P<0.05). The subjective sleep quality score of the observation group showed that the total dosage of PCIA sufentanil, P1, P2, and the number of cases of additional oxycodone analgesia within 24 hours after surgery were lower than those of the control group (all P<0.05). The incidence of nausea in the control group (13 cases, 38.2%) was higher than that in the observation group (3 cases, 8.8%) ( P<0.05). Conclusions:In elderly patients undergoing unilateral TKA under general anesthesia, preoperative use of ultrasound-guided adductor tube combined with knee joint posterior capsule space block can effectively reduce the occurrence of postoperative delirium.

Objective To understand the research status,hotspots and trends of Wuzhuyu Decoction;To provide reference for relevant research.Methods The literature related to Wuzhuyu Decoction was retrieved from CNKI,VIP,Wanfang Data and CBM databases from the establishment to February 28,2023.NoteExpress 3.6 was used to merge and deduplicate,and the author,organization and keywords were mapped and interpreted by CiteSpace 6.1.R6 software.Results A total of 822 articles were included,and the number of publications showed a wave upward trend;the top journals were New Chinese Medicine,Henan Traditional Chinese Medicine and Sichuan Traditional Chinese Medicine;the main research institutions were Beijing University of Chinese Medicine,China Academy of Chinese Medical Sciences and Shandong University of Traditional Chinese Medicine;a total of 566 authors were involved,and the authors with more publications included Wang Zhimin(12),Gong Muxin(9)and Bi Kaishun(5);high-frequency keywords included"headache","Shang Han Lun","TCM therapy"and so on.Conclusion Wuzhuyu Decoction is effective in treating chronic gastritis,hypertension and other primary diseases,which is a research hotspot in this field.It is a research trend in this field to explore its active components by high performance liquid chromatography and explain its action mechanism and target at the molecular level.

Objective To understand the research status,hotspots and trends of animal medicinal materials;To provide reference for future research.Methods The literature related to animal medicinal materials was retrieved from CNKI,VIP,Wanfang Data and CBM from January 1,2000 to April 30,2023.NoteExpress 3.6 was used to merge and deduplicate,and the author,institution and keywords were mapped and interpreted by CiteSpace 6.1.R6 software.Results A total of 1 169 articles were included,and the overall publication quantity in this field showed a stable fluctuation trend;the top journals were Lishizhen Medicine and Materia Medica Research,China Journal of Chinese Materia Medica and Modern Chinese Medicine;the main research institutions were China Academy of Chinese Medical Sciences,Changchun University of Chinese Medicine and Chinese Academy of Medical Sciences;a total of 676 authors were involved,and the authors with more publications included Zhang Hui(22),Liu Rui(15),Lin Zhe and Ma Shuangcheng(14);high-frequency keywords included"identification","TCM resources","clinical application"and so on.Conclusion Resource survey of animal medicinal materials,standardized breeding of medicinal animals,development of alternatives to rare medicinal animal resources,and construction of quality standard system for animal medicinal materials are the research hotspots in this field.The basic research of pharmacodynamic substances of animal medicinal materials based on the integrated analysis strategies of proteomics,peptideomics and transcriptomics,and the revelation of the signaling pathways and targets of animal medicinal materials from the molecular biology level are the research trends in this field.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.