The subcortical visual pathway is generally thought to be involved in dangerous information processing, such as fear processing and defensive behavior. A recent study, published in Human Brain Mapping, shows a new function of the subcortical pathway involved in the fast processing of non-emotional object perception. Rapid object processing is a critical function of visual system. Topological perception theory proposes that the initial perception of objects begins with the extraction of topological property (TP). However, the mechanism of rapid TP processing remains unclear. The researchers investigated the subcortical mechanism of TP processing with transcranial magnetic stimulation (TMS). They find that a subcortical magnocellular pathway is responsible for the early processing of TP, and this subcortical processing of TP accelerates object recognition. Based on their findings, we propose a novel training approach called subcortical magnocellular pathway training (SMPT), aimed at improving the efficiency of the subcortical M pathway to restore visual and attentional functions in disorders associated with subcortical pathway dysfunction.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

Objective To explore function-structure covariant patterns in Alzheimer's disease(AD)and mild cognitive impairment(MCI),and to investigate their associations with cognitive function and activities of daily living.Methods three-way parallel group independent component analysis(three-way pGICA),was used to identify the covariant patterns of resting-state functional MRI temporal data,gray matter density maps,and fractional anisotropy(FA)maps,and the differences between different groups were compared.Furthermore,the associations of covariant patterns with the Montreal Cognitive Assessment-Basic(MoCA_B)Scale scores and Activities of Daily Living Scale scores were analyzed.Results The function-structure covariant patterns in AD and MCI were characterized by the enhanced negative functional connectivity between the left posterior salience network and the right default mode network,the decreased gray matter density in the bilateral dorsolateral prefrontal cortex,and the reduced FA values in the left superior corona radiata(correlations:P<0.001,FDR corrected).Compared with HC group,AD group showed significant abnormalities in all identified covariant patterns(P<0.01,FDR corrected),but MCI group only exhibited a significant decrease in gray matter density in the bilateral dorsolateral prefrontal cortex(P<0.05,FDR corrected).Additionally,AD group had significantly lower FA value in the left superior corona radiata than MCI group(P<0.05,FDR corrected).The loadings reflecting the degree of covariation were significantly correlated with the Activities of Daily Living Scale scores(P<0.05,FDR corrected)but not with MoCA_B Scale scores.Conclusion The function-structure covariant patterns in AD and MCI are consistent with the declines in activities of daily living.The multimodal fusion analysis(three-way pGICA)provides a novel approach to understand the brain damage mechanisms underlying the covariant evolution of MCI and AD.

Aim To explore the mechanism of the co-lonic mucosa of rats with irritable bowel syndrome(IBS)by regulating the Tongxie Yaofang on mecha-nism of short chain fatty acids(SCFAs)and 5-hydroxytryptamine(5-HT)conversion metabolism.Methods The IBS model rats were established by colorectal stimulating baby rats combined with tempora-ry separation of baby rats and female rats.The IBS rats were divided into low-dose Tongxie Yaofang group,high-dose group,model control group,and normal control group.Transmission electron microscopy was used to observe the ultrastructure of the intestinal mu-cosa;ELISA was used to detect the levels of DAO,D-LA,ET,5-HT and 5-HTP in serum;gas chromatogra-phy was used to detect the levels of SCFAs(acetic,propionic and butyric acids)in feces;immunohisto-chemistry was used to detect the expression levels of TPH1,TRPA,5-HTP,5-HT,TGR5,TLR2,5-HT4R and SERT;Western blot was used to detect the expres-sion of intestinal mucosal tight junction proteins Clau-din-1,ZO-1 and Hcy,and the expressions of TPH1,TRPA,TGR5,TLR2 and SERT in colon tissues were further validated.Results Tongxie Yaofang signifi-cantly increased the protein expression of Claudin-1 and ZO-1 of IBS model rats(P＜0.01),decreased Hcy protein expression(P＜0.01),and reduced lev-els of DAO,D-LA,ET,5-HT and 5-HTP in serum(P＜0.05,P＜0.01).It reduced acetic acid,propionic acid and butyric acid content in feces(P＜0.05,P＜0.01),decreased colonic tissue TPH1,TRPA,5-HTP,5-HT,TGR5,TLR2,5-HT4R expression(P＜0.05,P＜0.01),and increased SERT expression(P＜0.05,P＜0.01).Conclusion Tongxie Yaofang improves the pathology of IBS by promoting the expres-sion of intestinal tight junction proteins,regulating the expression of related proteins in the SCFAs-5-HT trans-lational metabolic system,and repairing the intestinal mucosal barrier function.

Hypothermia is a clinical syndrome characterized by core body temperature<35℃,caused by significant heat loss from body surface in cold environment.As a systemic cold injury,it can be lethal if treatment is delayed.Emergent diagnosis and treatment of hypothermia are expected to improve the prognosis of patients.In 2005,the U.S.Army Research Institute of Environmental Medicine(USARIEM)issued guidelines for the prevention and management of cold injuries,but there has been no corresponding standard in China.Therefore,Emergency Branch of Chinese Medical Rescue Association,Emergency Medical Equipment Society of China Association of Medical Equipment,Integrated Rehabilitation Medical Branch of Chinese Medical Rescue Association,and Pre-Hospital Emergency Care Working Committee of Chinese Aging Well Association jointly developed the Chinese Expert Consensus on Emergent Treatment of Hypothermia(2025 edition).The consensus covers the pathophysiology,etiology and epidemiology,diagnosis and severity grading,prehospital treatment,and in-hospital treatment of hypothermia,including 15 recommendations in total,aiming to provide guidance for the relevant clinical rescue work.

Objective To explore function-structure covariant patterns in Alzheimer's disease(AD)and mild cognitive impairment(MCI),and to investigate their associations with cognitive function and activities of daily living.Methods three-way parallel group independent component analysis(three-way pGICA),was used to identify the covariant patterns of resting-state functional MRI temporal data,gray matter density maps,and fractional anisotropy(FA)maps,and the differences between different groups were compared.Furthermore,the associations of covariant patterns with the Montreal Cognitive Assessment-Basic(MoCA_B)Scale scores and Activities of Daily Living Scale scores were analyzed.Results The function-structure covariant patterns in AD and MCI were characterized by the enhanced negative functional connectivity between the left posterior salience network and the right default mode network,the decreased gray matter density in the bilateral dorsolateral prefrontal cortex,and the reduced FA values in the left superior corona radiata(correlations:P<0.001,FDR corrected).Compared with HC group,AD group showed significant abnormalities in all identified covariant patterns(P<0.01,FDR corrected),but MCI group only exhibited a significant decrease in gray matter density in the bilateral dorsolateral prefrontal cortex(P<0.05,FDR corrected).Additionally,AD group had significantly lower FA value in the left superior corona radiata than MCI group(P<0.05,FDR corrected).The loadings reflecting the degree of covariation were significantly correlated with the Activities of Daily Living Scale scores(P<0.05,FDR corrected)but not with MoCA_B Scale scores.Conclusion The function-structure covariant patterns in AD and MCI are consistent with the declines in activities of daily living.The multimodal fusion analysis(three-way pGICA)provides a novel approach to understand the brain damage mechanisms underlying the covariant evolution of MCI and AD.

Objective To develop a multifunctional vision examination device for confined cabin environments to meet the requirements for detecting and collecting visual function parameters in military training and scientific research.Methods A multifunctional vision examination device was designed with a segmented mode and composed of an exmaination terminal and a control terminal.The examination terminal was composed of a sealed box,a high-definition display,an isolation baffle and a rubber eye mask.The sealed box had a fully closed structure,and the space design in the box was carried out in the form of integrating sphere;the high-definition display had a floating structure not rigidly connected with the surrounding components,and adopted a non-standard screen as the main display;the edges of the isolation baffle were sealed,and a spring washer for mechanical positioning was placed between the baffle and the sealed box.The control terminal software was programmed with C language,and there were several funcational modules involved in the software part for basic information management,function testing and summary report.Results Trials in the low-pressure chamber showed the device developed could be used for testing near vision,stereoscopic vision,contrast sensitivity,rapid dark adaptation and dark vision under the simulated altitude of 5 000 m when the examinee wore an oxygen mask,with remote operation enabled during the testing.Conclusion The multifunctional vision examination device gains advantages in light weight,high portability and compatibility with confined cabin environments,and meets the requirements for visual function testing in military training and scientific research.[Chinese Medical Equipment Journal,2025,46(5):21-26]

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective To investigate alterations in interhemispheric functional connectivity(FC)in the cerebral cortices connected via the corpus callosum in patients with Alzheimer's disease(AD),and to explore their relationships with cognitive function and activities of daily living.Methods Resting-state functional magnetic resonance imaging data were collected from 28 patients with Alzheimer's dementia(d-AD),47 patients with mild cognitive impairment(MCI),and 37 healthy controls(HC).Using a trancallosal tract template,32 pairs of homologous cortical brain regions directly connected to 32 subregions of the corpus callosum were selected as regions of interest for interhemispheric FC analysis.Further correlation analyses were performed between FC values in patient groups and their scores on the Montreal Cognitive Assessment-Basic(MoCA-B)Scale and the Activities of Daily Living(ADL)Scale.Results Compared with HC group,both MCI and d-AD groups exhibited hyperconnectivity(significantly increased FC)in interhemispheric non-homologous brain regions.Specifically,hyperconnectivity in the MCI group was scattered across the frontal,parietal,temporal,and occipital lobes,while in the d-AD group,it was concentrated within the precentral and postcentral gyri.Notably,hyperconnectivity involving the prefrontal and occipital lobes in the MCI group showed significant declines in the d-AD group.The interhemispheric homologous FC in the d-AD group reduced more significantly than the MCI group.Additionally,in the d-AD group,2 interhemispheric FC within the prefrontal lobe(between the bilateral orbital parts of the inferior frontal gyrus,and between the left medial frontal gyrus and the right middle frontal gyrus)were correlated with MoCA-B scores,and 2 FC(between the bilateral middle occipital gyri,and between the left inferior parietal lobule and the right middle frontal gyrus)were correlated with ADL scores.Conclusion MCI and d-AD exhibit distinct patterns of interhemispheric FC alterations,and the interhemispheric FC changes in AD patients are non-progressive.The close relationships between interhemispheric homologous/non-homologous FC and MoCA-B/ADL scores in d-AD patients provide an objective basis and reference for clinical neuromodulation.