Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

Objective:To explore the mechanism of Shiwei Chaihu Shugan Powder in the treatment of breast hyperplasia using network pharmacology; To verify the mechanism of Shiwei Chaihu Shugan Powder in the treatment of breast hyperplasia through animal experiments.Methods:The active components and potential targets of Shiwei Chaihu Shugan Powder were searched in TCMSP and Uniprot databases. Breast hyperplasia genes were searched in GeneCards and OMIM databases. The intersection targets were obtained by online tool Venny, and the "drug-component-target" network was constructed by Cytoscape 3.8.2 software. The protein interaction (PPI) network was constructed using the String platform, and GO function and KEGG pathway enrichment analysis were performed using the DAVID annotation database. Molecular docking was performed using PDB, PubChem database, PyMOL 2.1 and AutoDockvina 1.2.5 software to predict the biological mechanism of Shiwei Chaihu Shugan Powder in the treatment of breast hyperplasia. Rats were divided into blank group, model group, tamoxifen group and Shiwei Chaihu Shugan Powder low-, medium- and high-dosage groups according to the random number table method, with 6 rats in each group. Except for the blank group, the other groups were prepared with the modified estrogen-progesterone-induced rat mammary hyperplasia model. Shiwei Chaihu Shugan Powder low-, medium- and high-dosage groups were intragastrically administered with Shiwei Chaihu Shugan Powder solution at 7.425 g/kg, 14.850 g/kg, and 29.700 g/kg respectively, while the tamoxifen group was intragastrically administered with 2.1 mg/kg tamoxifen. The blank group and the model group were intragastrically administered with the same volume of drinking water, once a day, for consecutive 28 d. The thickness of the mammary gland was measured by small animal ultrasound. The height and width of the nipples were measured by vernier calipers. The levels of serum E2 and P were detected by ELISA. The morphology of mammary tissue was observed by HE staining. The expressions of ERα, ERβ, SRC-1 and CBP/p300 proteins were detected by Western blot.Results:A total of 92 active components and 274 disease-drug intersection targets were screened out. GO functional enrichment analysis showed that Shiwei Chaihu Shugan Powder was closely related to positive regulation of gene expression, positive regulation of RNA polymerase Ⅱ promoter transcription, signal transduction, negative regulation of apoptosis process, response to heterogeneous stimulation, and regulation of hormone levels. KEGG enrichment analysis showed that the core targets might be related to NF-κB signaling pathway, MAPK signaling pathway, AGE-RAGE signaling pathway, PI3K/Akt signaling pathway, and regulating hormone levels. Molecular docking results showed that the core components had a good binding energy with the core target and a stable conformation. Compared with the model group, the thickness of the mammary gland in the tamoxifen group and Shiwei Chaihu Shugan Powder low-, medium- and high-dosage groups decreased ( P<0.01), the serum P level increased ( P<0.05), the expressions of ERα, SRC-1, and CBP/p300 proteins decreased ( P<0.01), and the expression of ERβ protein increased ( P<0.01); the height of the nipples in the Shiwei Chaihu Shugan Powder medium- and high-dosage groups and the tamoxifen group decreased ( P<0.01), and the serum E2 level increased ( P<0.05). Conclusion:Shiwei Chaihu Shugan Powder may play a role in the treatment of breast hyperplasia by regulating the levels of estrogen and related proteins.

Objective To investigate the underlying mechanisms of the effect of Fufang Changtai Decoction(FFCT)in inhibiting colorectal cancer(CRC)through the ferroptosis pathway using network pharmacology combined with experimental validation.Methods The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and Swiss Target Prediction databases were employed for the systematic screening of potent active ingredients and therapeutic targets of FFCT.In addition,the identification of CRC-associated genes and ferroptosis-related genes(FRGs)was accomplished using the Gene Cards and FerrDb databases,respectively.Venn diagrams,coupled with Cytoscape software,facilitated the comprehensive analysis of key FRGs involved in FFCT's intervention in CRC by mapping the TCM compound-therapeutic target network.Transmission electron microscopy was used to examine the mitochondrial ultrastructure of SW480 and HCT116,2 Human CRC cell lines,after treatment with FFCT-containing serum.Intracellular reactive oxygen species(ROS)levels were measured using a ROS detection kit.To assess the role of ferroptosis,ferroptosis inhibitor liproxstatin-1(Lip-1)was co-administered with FFCT-containing serum.The effects on cancer cell viability and proliferation were evaluated using CCK-8 and colony formation assays.Key molecular targets involved in the regulatory effects of FFCT on the expression of FRGs were further analyzed using PCR Array and Western blot.The findings were then validated with human CRC tissue microarrays.Results A total of 103 active ingredients of FFCT,739 therapeutic targets,9 101 disease-related genes,and 564 FRGs were identified.Venn diagram analysis identified 81 FRGs associated with FFCT intervention.Network analysis revealed that NQO1,TP53,and PTGS2 served as hub nodes in the regulatory network.Findings from the in vitro experiments showed that FFCT induced ferroptosis changes,including mitochondrial condensation,membrane thickening,and cristae reduction,in SW480 and HCT116 cells.FFCT treatment significantly increased intracellular ROS levels in a dose-dependent manner(P<0.05)and reduced cancer cell viability and proliferative capacity(P<0.01).These inhibitory effects were partially reversed by Lip-1,suggesting that FFCT's antitumor activity was closely associated with the ferroptosis pathway.PCR Array and Western blot analyses further confirmed that FFCT significantly downregulated NQO1 mRNA and protein expression in cancer cells(P<0.001),which was consistent with network pharmacology predictions.Immunofluorescence analysis of clinical CRC tissue microarrays revealed that NQO1 expression was significantly higher in tumor tissues than in adjacent non-tumor tissues(P<0.001).Conclusion FFCT may induce intracellular ferroptosis by downregulating the oncogenic gene NQO1,thereby exerting anti-CRC effects.

Objective To analyze the characteristics and risk factors associated with postoperative deep vein thrombosis(DVT)of the lower extremities in patients undergoing surgery for lumbar degenerative diseases.Methods A retrospective analysis was conducted on clinical data from 298 patients who were hospitalized for lumbar degenerative diseases and underwent lumbar spine surgery treatment in the First Affiliated Hospital of Nanchang University from October 1,2022 to April 15,2023.Patients were divided into DVT group(n=71)and non-DVT group(n=227)according to whether DVT of the lower limbs occurred within 1 week postoperatively.The incidence and distribution characteristics of postoperative DVT were analyzed.Univariate and binary logistic regression analyses were performed to identify risk factors for DVT,and receiver operating characteristic(ROC)curves were used to determine cut-off values for relevant risk factors.Results A total of 298 patients were included,among whom 159 were males(53.4%)and 139 were females(46.6%),with an average age of(64.5±9.8)years.DVT occurred in 71 patients,and the incidence of lower extremity DVT was 23.8%.In the DVT group,there were 49 cases(69.0%)of intermuscular vein thrombosis,and 22 cases of other types of thrombosis(7 cases of peroneal vein thrombosis,4 cases of posterior tibial vein thrombosis,3 cases of common femoral vein thrombosis,1 case of anterior tibial vein thrombosis,and 7 cases of multiple thrombosis);58 cases(81.7%)had DVT in one lower extremity,and 13 cases(18.3%)had DVT in both lower extremities.Univariate analysis results showed that age,body mass index(BMI),length of hospital stay,history of hypertension,operative time,and intraoperative blood loss were associated with the occurrence of lower extremity DVT after surgery for lumbar degenerative diseases(P<0.05).Binary logistic regression analysis results indicated that older age(OR=1.079,P<0.01),higher BMI(OR=1.130,P=0.01),history of hypertension(OR=2.992,P<0.01),and larger intraoperative blood loss(OR=1.002,P=0.03)were independent risk factors for the occurrence of lower extremity DVT.ROC curve analysis demonstrated that patients with age>58.5 years,BMI>24.01 kg/m2,history of hypertension,and intraoperative blood loss>550 ml had a significantly increased risk of postoperative lower limb DVT.Conclusions The incidence of lower extremity DVT after surgery for lumbar degenerative disease is high,and intermuscular venous thrombosis is more common.Older age,higher BMI,history of hypertension,and larger intraoperative blood loss are independent risk factors for the occurrence of lower extremity DVT after surgery.

Objective : To construct a lentiviral overexpression cell line of HACE1 and to investigate its effects on the proliferation and migration of glioma cells． Methods : Using the bacterial liquid containing the full-length cDNA sequence of human HACE1 as a template，the lentiviral expression plasmid pCDH-HACE1 was constructed，and the lentiviral cell line was screened．Western blot was employed to detect the expression of HACE1 in glioma cells． Meanwhile，the CCK-8 assay and the cell scratch assay were utilized to assess the impacts of HACE1 on the prolif- eration and migration of glioma cells． Results : The lentiviral cell line with HACE1 overexpression was successfully established．Western blot analysis demonstrated that HACE1 could be effectively expressed in eukaryotic cells．The results of the CCK-8 assay showed that，compared with the control group，the cell proliferation in the HACE1 over- expression group was significantly enhanced at 24 hours and 48 hours after cultivation (both P＜0. 01) ．The cell scratch assay revealed that，at 24 hours and 48 hours after cultivation，the Scratch areas in the HACE1 overexpres- sion group were higher than those in the control group (P＜0. 05，P＜0. 01) ． Conclusion The lentiviral cell line with HACE1 overexpression is successfully constructed．HACE1 can promote the proliferation and migration abili- ties of U251 glioma cells，providing a foundation for further research．

Objective : To construct a lentiviral overexpression cell line of HACE1 and to investigate its effects on the proliferation and migration of glioma cells． Methods : Using the bacterial liquid containing the full-length cDNA sequence of human HACE1 as a template，the lentiviral expression plasmid pCDH-HACE1 was constructed，and the lentiviral cell line was screened．Western blot was employed to detect the expression of HACE1 in glioma cells． Meanwhile，the CCK-8 assay and the cell scratch assay were utilized to assess the impacts of HACE1 on the prolif- eration and migration of glioma cells． Results : The lentiviral cell line with HACE1 overexpression was successfully established．Western blot analysis demonstrated that HACE1 could be effectively expressed in eukaryotic cells．The results of the CCK-8 assay showed that，compared with the control group，the cell proliferation in the HACE1 over- expression group was significantly enhanced at 24 hours and 48 hours after cultivation (both P＜0. 01) ．The cell scratch assay revealed that，at 24 hours and 48 hours after cultivation，the Scratch areas in the HACE1 overexpres- sion group were higher than those in the control group (P＜0. 05，P＜0. 01) ． Conclusion The lentiviral cell line with HACE1 overexpression is successfully constructed．HACE1 can promote the proliferation and migration abili- ties of U251 glioma cells，providing a foundation for further research．

Objective:We aimed to develop a nomogram in corporating multidetector computed tomography(MDCT)imaging features and clinicopathological indicators for the preoperative prediction of axillary lymph node metastasis(ALNM)in patients with triple-negative breast cancer(TNBC).Methods:We retrospectively analyzed data from 265 female patients with pathologically confirmed TNBC treated at Harbin Medical University Cancer Hospital between November 2020 and October 2024.Patients were randomly assigned into a training cohort(n=161)and a validation cohort(n=104)in a 6:4 ratio.Feature selection was performed using least absolute shrinkage and selection operator(LASSO)regression with 10-fold cross-validation.Independent predictors of ALNM were identified by multivariate Logistic regression analysis,and a nomogram was constructed accordingly.Model performance was assessed using receiver operating characteristic(ROC)curves,calib-ration plots,and decision curve analysis(DCA).Results:Three independent predictors of ALNM were identified:clinical N-stage(odds ratio[OR]=6.789;95%confidence interval[CI]:2.203-22.20;P=0.001),short-axis diameter of lymph nodes on CT(OR=1.686;95%CI:1.349-2.257;P<0.001),and cortical thickness(OR=6.296;95%CI:2.170-19.310;P=0.001).The nomogram showed strong discrimination,with areas under the ROC curve(AUC)of 0.918(95%CI:0.860-0.977)in the training cohort and 0.885(95%CI:0.809-0.962)in the validation cohort.Calibration was confirmed by Hosmer-Lemeshow tests(P=0.609 and P=0.694 for training and validation cohorts,respectively).DCA demon-strated clinical utility across probability thresholds of 0.02-0.96 and 0.03-0.87 in the training and validation cohorts,respectively.Conclu-sions:This nomogram,integrating MDCT imaging features and clinical indicators,provides a practical tool for individualized preoperative risk assessment and may aid clinical decision-making in patients with TNBC.

Objective:To evaluate the diagnostic performance and safety of endoscopic ultrasound-guided fine needle aspiration(EUS-FNA)for biliary lesions and to investigate the factors influencing its accuracy.Methods:A retrospective analysis was performed on the clinical data of patients who underwent EUS-FNA at Chengdu Third People's Hospital between January 2021 and December 2023 for suspected malig-nant biliary strictures or masses,including 22 males and 19 females,with a mean age of 65.9(35.0-89.0)years.Diagnostic performance(sensitivity,specificity,positive predictive value,negative predictive value,and accuracy)and factors influencing these outcomes were evalu-ated.Results:The overall sensitivity of EUS-FNA for diagnosing biliary lesions was 85%,with a specificity of 100%,positive predictive value of 100%,negative predictive value of 33%,and accuracy of 86%.The use of a 25G needle and the presence of solid masses were significant factors influencing the diagnostic accuracy of EUS-FNA.In contrast,the puncture site did not impact diagnostic performance.No EUS-FNA-re-lated adverse events were observed during the follow-up period.Conclusions:EUS-FNA is highly accurate and safe for the diagnosis of bili-ary lesions.The diagnostic accuracy of EUS-FNA significantly improves when using a 25G needle and in the presence of solid biliary masses.

AIM To optimize the extraction process for Bletillae Rhizoma,and to evaluate its anti-oxidant,tyrosinase inhibitory activities.METHODS With ultrasound time,ethanol concentration and solid-liquid ratio as influencing factors,the total extraction content of gastrodin,protocatechualdehyde,p-hydroxybenzaldehyde,1,4-bis[4-(gluconoxy)benzyl]-2-isobutylmalate-2-glucoside,1,4-bis[4-(gluconoxy)benzyl]-2-isobutylmalate,yam Ⅲ,dihydropinosin and 3'-O-methylyam Ⅲ as an evaluation index,the extraction process was optimized by Box-Behnken response surface method.Subsequently,the extract's scavenging effects on DPPH,ABTS+free radicals,and inhibitory ability on tyrosinase were determined.RESULTS The optimal conditions were determined to be 49 min for ultrasound time,55％for ethanol concentration,1∶30 for solid-liquid ratio,and 2 times for extraction frequency,the total extraction content was 13.18 mg/g.The extract demonstrated the IC50 of 10.12,314.07 and 1.70 μg/g on DPPH,ABTS+free radicals and tyrosinase,respectively.CONCLUSION This simple,reliable and stable method can be used for the extraction for Bletillae Rhizoma with strong anti-oxidant,tyrosinase inhibitory activities.

Purpose To investigate the incidence and risk of malignancy(ROM)of the Bethesda class Ⅰ/Ⅲ di-agnosis of thyroid nodules due to insufficient number of follicular cells,and to analyze the correlation between their in-sufficient cell volume and the characteristics of the nodules themselves from the perspective of ultrasound and histology.Methods Clinical data were collected from fine needle aspiration cytology(FNAC)of the thyroid gland.Review and statistical analysis was performed on cases with the Bethesda class Ⅰ/Ⅲ diagnosis due to insufficient cell volume.The incidence and the ROM of Bethesda class Ⅰ/Ⅲ diagnosis were calculated.BRAF V600E(+)or postoperative patho-logical indicating papillary thyroid carcinoma(PTC)was used as the criterion for malignancy.Then,we matched the Bethesda class Ⅱ/Ⅵ cases with sufficient cell volume as the control group.The ultrasound characteristics and histo-logical images of the two groups were compared and analyzed in order to reveal the correlation between the insufficient amount of penetrating cells and the objective characteristics of the nodule itself.Results There were 39 solid thyroid nodules with the Bethesda class Ⅰ diagnosis,with an incidence of 3.3％and a ROM of 38.5％,and 160 nodules with the Bethesda class Ⅲ diagnosis,with an incidence of 13.5％and a ROM of 59.4％.The incidence and ROM of nod-ules with C-TIRADS ≥4b(22.4％,67.6％)were higher than those of C-TIRADS ≤4a(12.7％,39.8％),and the differences were statistically significant(P＜0.001).Compared to the Bethesda class Ⅱ/Ⅵ nodules with sufficient cell volume,occurrence of the Bethesda class Ⅰ/Ⅲ nodules were significantly correlated with small nodules(maximal diameter＜5 mm),vertical growth(aspect ratio ≥ 1)and poor blood supply(no or little blood flow signals)(r=0.131,-0.230,0.237,P=0.008,＜0.001,＜0.001).They were also significantly correlated with the pathologic histologic structure of diffuse significant fibrosis of the interstitium and low parenchyma/interstitium composition ratio(about 1:1)(r=-0.269,-0.396,P=0.019,＜0.001).Conclusion Thyroid Bethesda class Ⅰ/Ⅲ nodules have a high ROM,and BRAF V600E detection is recommended as a tool of tiered management.Bethesda class Ⅰ/Ⅲ diagnosis of insufficient cell volume is more likely when the nodules are too small,grow vertically and lack blood sup-ply,presumably associated with extensive interstitial fibrosis and sparse parenchymal cells.