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 relationship between dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)and clinical pathological features of invasive breast cancer and lymphovascular invasion(LVI).Methods Imaging and clinical pathological data were retrospectively collected from 508 patients with invasive breast cancer who underwent breast DCE-MRI at the First Medical Center of Chinese PLA General Hospital from January 2019 to August 2021.Patients were divided into the LVI-positive(LVI+)group(n=79)and LVI-negative(LVI-)group(n=429)based on postoperative pathological results.Univariate and multivariate logistic regression analyses were used to identify risk factors for LVI.Results Compared with LVI-group,LVI+group had a higher proportion of patients aged<45 years(44.3%vs.27.0%,P=0.002),non-mass-like enhancement(NME)(31.7%vs.17.7%,P=0.004),Ki-67 expression rate(40.0%vs.30.0%,P<0.001),high Ki-67 expression(94.9%vs.78.1%,P=0.001),Luminal B subtype(76.0%vs.60.1%,P=0.008),and positive axillary lymph nodes rate(72.2%vs.31.5%,P<0.001),while the proportion of Luminal A subtype was lower(2.5%vs.21.5%,P<0.001).Univariate and multivariate logistic regression analyses showed that age≥45 years(OR=0.468,95%CI 0.280-0.783,P=0.004)was an independent protective factor for LVI,while NME(OR=1.987,95%CI 1.126-3.444,P=0.016)was an independent risk factor.Compared with Luminal A subtype,patients with Luminal B subtype(OR=10.482,95%CI 3.164-64.923,P=0.001),HER-2 overexpression subtype(OR=11.571,95%CI 2.755-79.341,P=0.003)and triple-negative subtypes(OR=8.433,95%CI 1.985-57.908,P=0.009)had a higher risk of LVI.Conclusions Age≥45 years is an independent protective factor for LVI,while NME is an independent risk factor.Among molecular subtypes,patients with Luminal B,HER-2 overexpression and triple-negative subtypes have a higher risk of LVI compared with the Luminal A subtype.

Objective To analyze the risk factors and survival status of Epstein-Barr virus(EBV)infection in pa-tients with aplastic anemia(AA)after haploid allogeneic hematopoietic stem cell transplantation(Haplo-HSCT).Methods Clinical data of 78 AA patients who underwent Haplo-HSCT in the hematology department of a hospital from January 1,2019 to October 31,2022 were analyzed retrospectively.The occurrence and onset time of EBV viremia,EBV-related diseases(EBV diseases),and post-transplant lymphoproliferative disorders(PTLD)were ob-served,risk factors and survival status were analyzed.Results Among the 78 patients,38 were males and 40 were females,with a median age of 33(9-56)years old;53 patients experienced EBV reactivation,with a total inci-dence of 67.9％,and the median time for EBV reactivation was 33(13,416)days after transplantation.Among pa-tients with EBV reactivation,49 cases(62.8％)were simple EBV viremia,2 cases(2.6％)were possible EBV di-seases,and 2 cases(2.6％)were already confirmed EBV diseases(PTLD).Univariate analysis showed that age 1＜40 years old at the time of transplantation,umbilical cord blood infusion,occurrence of acute graft-versus-host disease(aGVHD)after transplantation,and concurrent cytomegalovirus(CMV)infection were independent risk fac-tors for EBV reactivation in AA patients after Haplo-HSCT.Multivariate analysis showed that concurrent CMV in-fection was an independent risk factor for EBV reactivation in A A patients after Haplo-HSCT(P=0.048).Ritu-ximab intervention before stem cell reinfusion was a factor affecting the duration of EBV reactivation(P＜0.05).The mortality of EBV viremia,EBV diseases,and PTLD alone were 8.2％,50.0％,and 100％,respectively.The 2-year overall survival rate of patients with and without EBV reactivation were 85.3％,and 90.7％,respectively,difference was not statistically significant(P=0.897).However,patients treated with rituximab had 2-year lower survival rate than those who did not use it,with a statistically significant difference(P=0.046).Conclusion EBV reactivation is one of the serious complications in AA patients after Haplo-HSCT,which affects the prognosis and survival of patients.

AIM To study the chemical constituents from Lonicera japonica Thunb.and their antioxidant activities.METHODS The extract from L.japonica was isolated and purified by D101 macroporous resin,silica gel column and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activity was determined by DPPH free radical scavenging method.RESULTS Fifteen compounds were isolated and identified as dearabinosyl pneumonanthoside(1),5α-carboxystrictosidine(2),apigenin 7-O-glucoside(3),ethyl caffeate(4),isorhamnetin-3-O-β-D-glucopyranoside(5),luteolin 7-O-glucoside(6),quercetin 3-O-β-glucoside(7),luteolin 7-O-rutinoside(8),luteolin-7-O-neohesperidoside(9),hydnocarpin(10),methyl chlorogenate(11),(Z)-aldosecolohanin(12),kaempferol 3-O-β-D-glucoside(13),chlorogenic acid butyl ester(14),(-)-syringaresinol(15).The IC50 values of DPPH free radical scavenging of compounds 3,5-10,13-14 were 6.70-36.25 μmol/L.CONCLUSION Compounds 1-2,8,9-11 and 15 are isolated from genus Lonicera for the first time.Compounds 3,5-10,13-14 show good antioxidant activities.

Objective To analyze the stress changes of thoracic vertebra(T)11-sacrum(S)titanium rods in patients with ankylosing spondylitis after vertebral column decancellation(VCD)osteotomy,and provide reference for the selection and improvement of titanium rods before surgery.Methods The original data of the continuous scanning tomographic images of patients with ankylosing spondylitis after VCD osteotomy were imported into Mimics 21.0 in DICOM format,and T11-S vertebrae,screws and titanium rods were respectively reconstructed.They were imported into 3-Matic to establish a preliminary geometric modeling,and then processed with noise removal,paving,smoothing,etc.The improved model was imported into Hypermesh 10 software for grid division,and the material was imported into ANSYS 19.2 to display the finite element model after attribute assignment,Set the boundary and load conditions,and measure the stress value at the connection between the screw and the titanium rod.Results Under neutral position,forward bending,lateral bending,and axial rotation conditions,the titanium rod had the highest stress at the upper vertebrae(T11)and the lowest stress at the top vertebrae(L3);Under the backward extension condition,the titanium rod has the highest stress at the lower end vertebra(L5).Conclusion In the upper and lower vertebrae,it is possible to consider increasing the diameter of the titanium rod,enhancing its hardness,or changing it to a double rod.

Objective To explore astrocyte activation's impact on cognitive deficits post-traumatic brain injury(TBI).Methods SPF male rats were divided into control,sham-operation and model groups with 10 rats per group.Control group did not receive the surgical intervention;sham-operation group underwent craniotomy without damaging the dura mater;model group was struck with brain injury instrument after craniotomy.The rats with knockout overexpressed glial fibrillary acidic protein(GF AP)gene were set as the knockout group and overexpression group,with 10 rats per group.The knockout and overexpression groups were treated as the model group.Neurological function was evaluated by modified neurological severity score(mNSS).Escape latency was assessed with the Morris water maze test.The expression levels of GFAP in astrocytes were measured quantitative real-time polymerase chain reaction.The positive expression of astrocytes was determined by immunohistochemistry.Results The mNSS of control,sham-operation,model,knockout and overexpression groups were 0,0,(9.60±1.17),(15.20±1.55)and(12.00±1.33)points;the escape latency period at day 7 was(16.15±2.48),(16.98±2.35),(40.72±5.42),(75.42±8.59)and(47.23±6.04)s;the number of positive astrocytes was(1 264.60±135.45),(1 289.20±132.29),(3 269.10±189.39),(103.90±11.09)and(5 301.50±236.29)cell·mm-2;the expression levels of GFAP gene in control,sham-operation,model and overexpression groups were 0.86±0.02,0.92±0.04,1.37±0.07 and 3.42±0.07.Compared with overexpression group,the differences of above indexes in control,sham-operation,model,knockout groups were statistically significant(all P＜0.05).Conclusion TBI causes cognitive impairment and affects cognition and memory in rats,and the GFAP gene is associated with the activation of astrocytes and helps repair nerve damage.

Objective To explore astrocyte activation's impact on cognitive deficits post-traumatic brain injury(TBI).Methods SPF male rats were divided into control,sham-operation and model groups with 10 rats per group.Control group did not receive the surgical intervention;sham-operation group underwent craniotomy without damaging the dura mater;model group was struck with brain injury instrument after craniotomy.The rats with knockout overexpressed glial fibrillary acidic protein(GF AP)gene were set as the knockout group and overexpression group,with 10 rats per group.The knockout and overexpression groups were treated as the model group.Neurological function was evaluated by modified neurological severity score(mNSS).Escape latency was assessed with the Morris water maze test.The expression levels of GFAP in astrocytes were measured quantitative real-time polymerase chain reaction.The positive expression of astrocytes was determined by immunohistochemistry.Results The mNSS of control,sham-operation,model,knockout and overexpression groups were 0,0,(9.60±1.17),(15.20±1.55)and(12.00±1.33)points;the escape latency period at day 7 was(16.15±2.48),(16.98±2.35),(40.72±5.42),(75.42±8.59)and(47.23±6.04)s;the number of positive astrocytes was(1 264.60±135.45),(1 289.20±132.29),(3 269.10±189.39),(103.90±11.09)and(5 301.50±236.29)cell·mm-2;the expression levels of GFAP gene in control,sham-operation,model and overexpression groups were 0.86±0.02,0.92±0.04,1.37±0.07 and 3.42±0.07.Compared with overexpression group,the differences of above indexes in control,sham-operation,model,knockout groups were statistically significant(all P＜0.05).Conclusion TBI causes cognitive impairment and affects cognition and memory in rats,and the GFAP gene is associated with the activation of astrocytes and helps repair nerve damage.

Objective: To explore the allergen map of patients with allergic diseases in northwest China, to investigate the distribution characteristics of serum specific Immunoglobulin E (sIgE) in different ages, genders, diseases and the sensitization patterns of allergens. Methods: This study is a cross-sectional study, a total of 1 161 patients with confirmed respiratory allergic diseases were selected retrospectively from outpatient or inpatient department of Gansu Provincial People's Hospital, Gansu Provincial Maternity and Child Care Hospital, General Hospital of Ningxia Medical University, Yinchuan Maternal and Child Health Care Hospital, Xijing Hospital, Air Force Military Medical University and Tumor Hospital of Inner Mongolia Autonomous Region from June 2019 to October 2022. HAIKE ALLEOS 2000 fluorescent magnetic particle chemiluminescence method was used to quantify their serum for 12 inhaled allergen-specific IgE. Chi square test or Fisher's exact test were used for comparison between count data groups (Bonferroni correction was used for further pairwise comparison in multiple groups, two-sided P<0.05/3=0.017 considered that the difference was statistically significant). Pearson correlation analysis was used for correlation of continuous numerical variables. Results: The positive detection rate of sIgE in 1 161 patients was 66.8%(776/1 161). The three highest positive rate of inhaled allergen were mugwort(599/1 161, 51.6%), French chrysanthemum(565/1 161, 48.7%) and dandelion(412/1 161, 35.5%). In different age groups, the highest positive rate of sIgE was 7-18 age group(379/513, 73.9%) while the lowest positive rate was 4-6 age group(222/370, 60.0%), the difference between groups was statistically significant(χ²=21.177, P<0.001). The sensitization peak of mugwort, French chrysanthemum, plantain, timothy, birch, dermatophagoides pteronyssinus, dermatophagoides farinae, cat epithelium, dog epithelium and German cockroach appeared in 7-18 age group. In different disease groups, the highest positive rate of sIgE was allergic rhinitis with asthma group (500/717, 69.7%) while the lowest positive rate was asthma group (76/144, 52.8%), the difference between groups was statistically significant(χ²=15.563, P<0.001). In different gender groups, the positive rate of sIgE in male (503/711, 70.7%) was higher than in female (273/450, 60.7%), the difference between groups was statistically significant(χ²=12.630, P<0.001). The multiple-sensitization rate was 86.9%(674/776) and the double-sensitization rate was 16.8%(130/776) in sIgE positive patients. Pearson correlation results showed that there was an extremely strong correlation between dandelion and French chrysanthemum(r=0.93,P<0.001). There was a strong correlation between mugwort and French chrysanthemum(r=0.64,P<0.001). In the co-sensitization analysis, the number of patients sensitized by mugwort, French chrysanthemum, dandelion, plantain and timothy accounted for 25.2%(170/674)of the total number of multiple sensitization. The number of patients sensitized by mugwort, French chrysanthemum and dandelion accounted for 58.3%(393/674)of the total number of multiple sensitization. The number of patients sensitized by mugwort, French chrysanthemum, dandelion and plantain accounted for 35.6%(240/674) of the total number of multiple sensitization. Conclusion: Mugwort, French chrysanthemum, dandelion are the major inhaled allergens in northwest China. The positive rate of sIgE was different in different ages, diseases and genders. The multiple-sensitization rate of allergen was high and there was a certain positive correlation between pollen allergen-specific IgE pairwise, suggesting that there may exist co-sensitization or cross-reactions among allergens.
Pregnancy ; Child ; Animals ; Dogs ; Female ; Humans ; Male ; Allergens ; Cross-Sectional Studies ; Retrospective Studies ; Respiratory System ; Asthma