Objective:This study aims to investigate sex-specific abnormalities?? in gray matter volume (GMV) in Children with autism spectrum disorder (ASD) and their associations with gene expression.Methods:T 1-weighted brain MRI data were collected at the MRI Center of the University of Electronic Science and Technology of China between 2022 and 2023 from 100 children with ASD and 90 typically developing (TD) children. Voxel-based morphometry (VBM) was used to explore GMV differences between ASD boys and TD boys, and between ASD girls and TD girls. Partial least squares regression (PLSR) was performed based on the Allen Human Brain Atlas to identify genes associated with GMV alterations, followed by enrichment analyses. Cell-type-specific expression analyses were used to examine associations across developmental stages and brain structures. Protein-protein interaction (PPI) networks were constructed to identify hub proteins. Results:Compared to TD boys, ASD boys showed increased GMV in the right superior temporal gyrus, middle temporal gyrus, inferior temporal gyrus, temporal pole, parahippocampal gyrus, fusiform gyrus, cuneus, and precuneus, as well as in the bilateral orbital part of the superior frontal gyrus and the gyrus rectus. Decreased GMV was observed in the cerebellar vermis and bilateral cerebellar hemispheres. A total of 635 genes were associated with these GMV alterations, enriched in pathways related to DNA-templated transcription, RNA metabolism and biogenesis, and ion binding. Developmental analysis indicated strong associations with the cerebellum during early, middle-to-late childhood, and adolescence, and with the cerebral cortex in early adulthood. Protein-protein interaction (PPI) network analysis highlighted NOB1, GNL3L, ESF1, TFB2M, and WDR75 as specific hub proteins. Compared to TD girls, ASD girls exhibited increased GMV in the right middle and inferior temporal gyri, temporal pole, and fusiform gyrus, and decreased GMV in the cerebellar vermis and bilateral cerebellar hemispheres. A total of 765 genes were associated, enriched in pathways related to ion channel activity, signal transduction, and regulation of membrane potential. These genes showed strong associations with the amygdala during mid-to-late fetal development, middle-to-late childhood, adolescence, and early adulthood; with the cerebellum during late infancy, early childhood, and early adulthood; with the cerebral cortex during the mid-to-late fetal development, early neonatal period, and adolescence; with the hippocampus during middle-to-late childhood and adolescence; with the striatum during adolescence and early adulthood; and with the thalamus during early-to-mid fetal development, early neonatal period, and early adulthood. PPI network analysis identified ANK3, ANK1, SCN4B, NFKB1, and PXN as specific hub proteins. Conclusion:Both ASD boys and ASD girls exhibit GMV abnormalities compared with TD controls. The specific genes associated with GMV alterations are enriched in distinct biological pathways in boys and girls. Cell-type-specific expression analyses further revealed sex-dependent differences in developmental timing and brain structural correlations, and distinct PPI networks were constructed for each group.

Objective To analyze the clinical parameters of esophageal cancer patients before and during neoadjuvant chemotherapy,as well as to explore the related factors and predictive value that affect the efficacy of neoadjuvant chemotherapy for esophageal cancer.Methods A total of 194 patients with esophageal cancer who underwent neoadjuvant chemotherapy at the First Affiliated Hospital of Guangxi Medical University from 2020 to 2023 were selected as the research subjects.The treatment process and outcomes of the patients were followed up,and they were divided into an effective group and an ineffective group according to the effi-cacy.Differences were compared in clinical parameters between two groups of patients before and during treat-ment,screen for factors that may affect efficacy,correlation analysis was conduct to explore the correlation be-tween relevant factors and the efficacy of neoadjuvant chemotherapy,and the predictive value of relevant fac-tors were analyzed using receiver operating characteristic(ROC)curve analysis.Results There was a statisti-cally significant difference(P＜0.05)in the average cycle cost,lowest WBC value,lowest PLT value,inci-dence of nausea,transaminase abnormalities,and hair loss between the two groups.Logistic regression analysis showed that average cycle cost,transaminase abnormalities,and hair loss were related factors affecting neoad-juvant chemotherapy for esophageal cancer.Spearman correlation analysis showed that the above indicators had a certain correlation with the efficacy of neoadjuvant chemotherapy for esophageal cancer.ROC curve a-nalysis showed that the area under the curve(AUC)for predicting the efficacy of neoadjuvant chemotherapy in esophageal cancer by combining transaminase abnormalities,average cycle cost,and hair loss was 0.758(95％CI:0.683-0.832)Conclusion There is a certain correlation between average cycle cost,transaminase abnormalities,and hair loss and the effectiveness of neoadjuvant chemotherapy for esophageal cancer,which has certain predictive value for the efficacy of neoadjuvant chemotherapy for esophageal cancer.

Objective:This study aims to investigate sex-specific abnormalities?? in gray matter volume (GMV) in Children with autism spectrum disorder (ASD) and their associations with gene expression.Methods:T 1-weighted brain MRI data were collected at the MRI Center of the University of Electronic Science and Technology of China between 2022 and 2023 from 100 children with ASD and 90 typically developing (TD) children. Voxel-based morphometry (VBM) was used to explore GMV differences between ASD boys and TD boys, and between ASD girls and TD girls. Partial least squares regression (PLSR) was performed based on the Allen Human Brain Atlas to identify genes associated with GMV alterations, followed by enrichment analyses. Cell-type-specific expression analyses were used to examine associations across developmental stages and brain structures. Protein-protein interaction (PPI) networks were constructed to identify hub proteins. Results:Compared to TD boys, ASD boys showed increased GMV in the right superior temporal gyrus, middle temporal gyrus, inferior temporal gyrus, temporal pole, parahippocampal gyrus, fusiform gyrus, cuneus, and precuneus, as well as in the bilateral orbital part of the superior frontal gyrus and the gyrus rectus. Decreased GMV was observed in the cerebellar vermis and bilateral cerebellar hemispheres. A total of 635 genes were associated with these GMV alterations, enriched in pathways related to DNA-templated transcription, RNA metabolism and biogenesis, and ion binding. Developmental analysis indicated strong associations with the cerebellum during early, middle-to-late childhood, and adolescence, and with the cerebral cortex in early adulthood. Protein-protein interaction (PPI) network analysis highlighted NOB1, GNL3L, ESF1, TFB2M, and WDR75 as specific hub proteins. Compared to TD girls, ASD girls exhibited increased GMV in the right middle and inferior temporal gyri, temporal pole, and fusiform gyrus, and decreased GMV in the cerebellar vermis and bilateral cerebellar hemispheres. A total of 765 genes were associated, enriched in pathways related to ion channel activity, signal transduction, and regulation of membrane potential. These genes showed strong associations with the amygdala during mid-to-late fetal development, middle-to-late childhood, adolescence, and early adulthood; with the cerebellum during late infancy, early childhood, and early adulthood; with the cerebral cortex during the mid-to-late fetal development, early neonatal period, and adolescence; with the hippocampus during middle-to-late childhood and adolescence; with the striatum during adolescence and early adulthood; and with the thalamus during early-to-mid fetal development, early neonatal period, and early adulthood. PPI network analysis identified ANK3, ANK1, SCN4B, NFKB1, and PXN as specific hub proteins. Conclusion:Both ASD boys and ASD girls exhibit GMV abnormalities compared with TD controls. The specific genes associated with GMV alterations are enriched in distinct biological pathways in boys and girls. Cell-type-specific expression analyses further revealed sex-dependent differences in developmental timing and brain structural correlations, and distinct PPI networks were constructed for each group.

Objective:This study aims to explore the abnormal instantaneous coactivation pattern of the key nodes of default mode network (DMN) and its relationship with social deficits in participants with autism spectrum disorder (ASD).Methods:This study included participants (ASD: n=354, healthy control (HC): n=446) from the Autism Brain Imaging Data Exchange (ABIDE), which is a multi-center and large-sample resting-state functional magnetic resonance imaging (rs-fMRI) database. Coactivation pattern (CAP) analysis was used to explore the coactivation pattern characteristics of medial prefrontal cortex (mPFC), the key node of DMN, and its abnormal interaction with other key nodes of DMN as well as task-positive network. Network dissociation index (NDI) was used to capture the extent of functional dissociation within and between networks and predict the clinical symptoms of ASD based on multi-variable support vector regression. Results:When mPFC was activated, precuneus, another key node of DMN, showed lower activation in participants with ASD than those in the HC group ( t=-4.21, P<0.01). Instead, dorsal anterior cingulate cortex (dACC) and orbital fronto-insula junction, key nodes of the salience network (SN), showed higher activation in participants with ASD than those in the HC group ( t=2.93, 2.61, all P<0.05). Additionally, compared with HC, ASD showed significantly higher NDI within DMN ( t=3.63, P<0.01) and significantly lower NDI between DMN and SN (dACC and orbital fronto-insula junction) ( t=-2.97, -3.31, all P<0.01). Additionally, using multi-variable support vector regression model, altered NDI could well predict social, speech communication deficits and disease severity of ASD ( r=0.191,0.216,0.186, all P<0.01). Conclusion:The CAP of mPFC in ASD in resting state was abnormal, which reflected the decreased functional integration within DMN and the decreased functional segregation between DMN and task-positive network. Besides, this abnormal network function pattern was closely related to clinical symptoms of ASD.

Objective:This study aims to explore the abnormal instantaneous coactivation pattern of the key nodes of default mode network (DMN) and its relationship with social deficits in participants with autism spectrum disorder (ASD).Methods:This study included participants (ASD: n=354, healthy control (HC): n=446) from the Autism Brain Imaging Data Exchange (ABIDE), which is a multi-center and large-sample resting-state functional magnetic resonance imaging (rs-fMRI) database. Coactivation pattern (CAP) analysis was used to explore the coactivation pattern characteristics of medial prefrontal cortex (mPFC), the key node of DMN, and its abnormal interaction with other key nodes of DMN as well as task-positive network. Network dissociation index (NDI) was used to capture the extent of functional dissociation within and between networks and predict the clinical symptoms of ASD based on multi-variable support vector regression. Results:When mPFC was activated, precuneus, another key node of DMN, showed lower activation in participants with ASD than those in the HC group ( t=-4.21, P<0.01). Instead, dorsal anterior cingulate cortex (dACC) and orbital fronto-insula junction, key nodes of the salience network (SN), showed higher activation in participants with ASD than those in the HC group ( t=2.93, 2.61, all P<0.05). Additionally, compared with HC, ASD showed significantly higher NDI within DMN ( t=3.63, P<0.01) and significantly lower NDI between DMN and SN (dACC and orbital fronto-insula junction) ( t=-2.97, -3.31, all P<0.01). Additionally, using multi-variable support vector regression model, altered NDI could well predict social, speech communication deficits and disease severity of ASD ( r=0.191,0.216,0.186, all P<0.01). Conclusion:The CAP of mPFC in ASD in resting state was abnormal, which reflected the decreased functional integration within DMN and the decreased functional segregation between DMN and task-positive network. Besides, this abnormal network function pattern was closely related to clinical symptoms of ASD.

Objective: To investigate the smartphone addiction among college students during the Coronavirus Disease 2019 (COVID-19) pandemic and its association with daily behaviors and mental health,and to provide reference for heath education and psychological counseling for college students. Methods: An observational study using online quyestionnaire was conducted among 10 357 college students of two provincial medical schools in Guangdong and Shanxi Province from February 24th to March 4th in 2020. Participants were investigated on demographic information, smartphone addiction, daily routine, physical activity, weight status, anxiety, and other health information. Logistic regression with inverse probability treatment weighting (IPTW) based on propensity score was used to analyze the association between smartphone addiction with daily behavior and mental health. Results: The prevalence of smartphone addiction was 59.42%. The prevalence of phone addiction was higher in postgraduates, senior undergraduates, students with non-medical major, students living in GuangDong and those without regular exercise habit before vacation(χ 2=47.91，17.78，42.75，138.58，P<0.05). With IPTW, there were significant associations between smartphone addiction and late bedtimes (OR=1.82, 95%CI=1.66-1.98) and wake-up times (OR=1.55, 95%CI=1.44-1.68), more sedentary behaviors (OR=1.21, 95%CI=1.12-1.31), less moderate to vigorous physical activity (OR=1.33, 95%CI=1.22-1.44), anxiety (OR=2.98, 95%CI=2.52-3.40), weight gain(OR=1.27，95%CI=1.17-1.37) and other detrimental daily behavior and feelings. Conclusion High prevalence of smartphone addiction has been observed during the COVID-19 pandemic, with impaired daily behavior and mental health.

Brain decoding based on functional magnetic resonance imaging has recently enabled the identification of visual perception and mental states. However, due to the limitations of sample size and the lack of an effective reconstruction model, accurate reconstruction of natural images is still a major challenge. The current, rapid development of deep learning models provides the possibility of overcoming these obstacles. Here, we propose a deep learning-based framework that includes a latent feature extractor, a latent feature decoder, and a natural image generator, to achieve the accurate reconstruction of natural images from brain activity. The latent feature extractor is used to extract the latent features of natural images. The latent feature decoder predicts the latent features of natural images based on the response signals from the higher visual cortex. The natural image generator is applied to generate reconstructed images from the predicted latent features of natural images and the response signals from the visual cortex. Quantitative and qualitative evaluations were conducted with test images. The results showed that the reconstructed image achieved comparable, accurate reproduction of the presented image in both high-level semantic category information and low-level pixel information. The framework we propose shows promise for decoding the brain activity.

Objective: To explore the current status of nursing work process in Tianjin Third Grade A General Hospital, to interpret the available space of nursing human resources, and to find new ideas for configuration and optimization. Methods: According to the industrial engineering theory and program analysis method, combined with the characteristics of nursing professional, define the name of the activity, build the evaluation index and formula of the nursing process level, the workday practice method was used to investigate and analyze the nurses′ work processes in a total of 48 departments in four hospitals in Tianjin. Results: The overall nursing process level of Tianjin Third Grade A General Hospital was: β = 0.756. Among them, the process utility coefficient was: β₁=0.913, and the coherence coefficient is only: β₂=0.627. There were differences in the level of nursing processes between different hospitals and departments. Among them, the process coherence level was different and the overall level was low. Conclusions The level of nursing procedures in Tianjin Third Grade A General Hospital needs to be improved. It is necessary to improve the continuity of nursing work, appropriately increase the reserve talents, strengthen the standardized training of nursing procedures, and explore more flexible scheduling methods. Conditional hospitals and departments can explore the application of information technology in nursing work or implement an unaccompanied mode to reduce the workload of nurses and improve the continuity of the nursing process, thereby improving the level of nursing processes and improving the quality and efficiency of nursing work.

In this study, we used functional magnetic resonance imaging (fMRI) to investigate longitudinal changes in brain activation during a verbal working memory (VWM) task performed by patients who had experienced a transient ischemic attack (TIA). Twenty-five first-ever TIA patients without visible lesions in conventional MRI and 25 healthy volunteers were enrolled. VWM task-related fMRI was conducted 1 week and 3 months post-TIA. The brain activity evoked by the task and changes over time were assessed. We found that, compared with controls, patients exhibited an increased activation in the bilateral inferior frontal gyrus (IFG), right dorsolateral prefrontal cortex (DLPFC), insula, inferior parietal lobe (IPL), and cerebellum during the task performed 1 week post-TIA. But only the right IFG still exhibited an increased activation at 3 months post-TIA. A direct comparison of fMRI data between 1 week and 3 months post-TIA showed greater activation in the bilateral middle temporal gyrus, right DLPFC, IPL, cerebellum, and left IFG in patients at 1 week post-TIA. We conclude that brain activity patterns induced by a VWM task remain dynamic for a period of time after a TIA, despite the cessation of clinical symptoms. Normalization of the VWM activation pattern may be progressively achieved after transient episodes of ischemia in TIA patients.
Adult ; Analysis of Variance ; Female ; Humans ; Image Processing, Computer-Assisted ; Ischemic Attack, Transient ; complications ; diagnostic imaging ; Longitudinal Studies ; Magnetic Resonance Imaging ; Male ; Memory Disorders ; diagnostic imaging ; etiology ; Memory, Short-Term ; physiology ; Middle Aged ; Neuropsychological Tests ; Oxygen ; blood ; Retrospective Studies ; Time Factors

Objective To investigate the effects of different delay time on examination results of patients with suspected cervical cancer after injection of contrast agents.Methods A total of 120 patients with suspected cervical cancer were selected and randomly divided into 20 s group,70 s group,90 s group and 120 s four groups.Patients in four groups were injected with non-ionic contrast agent iohexol(300 mgl/mL)90 mL,and the injection rate was 2 mL/s.Patients in four groups started the scanning at 20 s,70 s,90 s and 120 s after injection,and each group was scanned for 240 s.Arterial developing rate,venous developing rate,the positive rate of detection for cervical cancer,accuracy rate of stage for cervical cancer,and accuracy rate of tumor lymph node metastasis were compared between four groups.Results The results showed that the longer the delay time was,the higher the rate of venous developing was and the lower the rate of arterial developing was,and there were significant differences between the four groups(P<0.05).There was no significant difference in the positive rate of cervical cancer between the four groups(P>0.05).There was significant difference in accuracy rate of stage for cervical cancer between four groups(P<0.05),and there was no significant difference in accuracy rate of tumor lymph node metastasis between four groups(P>0.05).Conclusion Different delay time has affect the results of patients with suspected cervical cancer after injection of contrast agents.