Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

ObjectiveTo investigate the effect of combination with repetitive transcranial magnetic stimulation (rTMS) and median nerve electrical stimulation (MNS) on patients with prolonged disorders of consciousness (pDOC) in different age. MethodsFrom January, 2021 to May, 2023, 93 patients with pDOC in the First Affiliated Hospital of Nanchang University were divided into young group (≤ 45 years old), middle-aged group (46 to 60 years old) and elderly group (> 60 years old). All the groups were treated with rTMS and MNS for four weeks. The Coma Recovery Scale-Revised (CRS-R), Glasgow Coma Scale (GCS), and Full Outline of Unresponsiveness Scale (FOUR) were used to evaluate the efficiency of awakening after treatment and the awakening ratios were compared among three groups weekly. Four weeks after treatment, regional cerebral blood flow (rCBF) was measured with CT perfusion imaging. The score of Glasgow Outcome Scale Extended (GOS-E) was compared six months after treatment. ResultsFrom three weeks after treatment, the scores of CRS-R, GCS and FOUR increased in all groups (P < 0.05). After weekly treatment, there was no significant difference in the composition ratio of consciousness level and the awakening ratio among three groups (χ² < 11.057, P > 0.05). After four weeks of treatment, rCBF improved in three groups (|t| > 2.495, P < 0.05), however, there was no difference among three groups (F < 1.887, P > 0.05). There was no difference in the score of GOS-E at six months after treatment (F = 3.083, P = 0.055). ConclusionrTMS combined with MNS is effective on pDOC patients in different ages, and elderly patients could also benefit from it.

Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
Humans ; White Matter/diagnostic imaging* ; Diffusion Tensor Imaging/methods* ; Alzheimer Disease/complications* ; Reproducibility of Results ; Cognition ; Cognitive Dysfunction/complications* ; Brain/diagnostic imaging*

Objective:To compare and explore the characteristics of striatum functional connectivity in major depression and schizophrenic.Methods:Thirty-six patients with major depressive disorder (MDD), schizophrenia, and health controls were recruited in this study. All subjects underwent rest-stating functional magnetic resonance imaging (rs-fMRI). Routine preprocessing of rs-fMRI data was performed. The regional homogeneity (ReHo), and fractional amplitude of low frequency fluctuation (fALFF) values of the three groups were calculated, separately. Based on the results of one-way analysis of covariance, different brain areas were superimposed to obtain the overlapping regions (the left striatum). Next, the superimposed brain region (the left striatum) was used as the region of interest (ROI), and the customized ROI method was used for the whole-brain functional connectivity analysis. Finally, Pearson correlation analysis was performed between the functional connectivity of the brain regions and clinical features of MDD and schizophrenia.Result:Among the three groups, left striatum extending to the insula and Rolland′s insula showed significant differences of the ReHo values ( P<0.001, AlphaSim correction, voxel number >99);while left superior parietal areas and bilateral insula extending to lentiform nucleus showed significant differences of fALFF values (AlphaSim correction, P<0.001, voxel number >90). The left striatum were superimposed and revealed significant ReHo and fALFF values. The ROI analysis showed that the brain area with different functional connections in the three groups was left inferior temporal gyrus (AlphaSim correction, P<0.001, volume element number>42). The pairwise comparative analysis showed that compared with healthy controls (0.24±0.03), patients with MDD (0.15±0.02) and schizophrenia (0.09±0.01) showed decreased functional connections between the left striatum and the inferior temporal gyrus, and the decline was more significant in patients with schizophrenia. The functional connectivity value of left inferior temporal gyrus was not correlated with HAMD score in MDD( r=-0.02, P=0.93). The functional connectivity value of left inferior temporal gyrus was positively correlated with PANSS positive score in patients with schizophrenia ( r=-0.40, P=0.02). Conclusion:Both MDD and schizophrenia patients may have abnormal function connections of the striatum and the abnormal function connection with the left temporal inferior gyrus may closely related to clinical symptoms of schizophrenia. The brain function activity of striatum and its abnormal connection with the left temporal inferior gyrus may play an important role in the neuropathology of schizophrenia and MDD.

Objective:To compare and explore the characteristics of striatum functional connectivity in major depression and schizophrenic.Methods:Thirty-six patients with major depressive disorder (MDD), schizophrenia, and health controls were recruited in this study. All subjects underwent rest-stating functional magnetic resonance imaging (rs-fMRI). Routine preprocessing of rs-fMRI data was performed. The regional homogeneity (ReHo), and fractional amplitude of low frequency fluctuation (fALFF) values of the three groups were calculated, separately. Based on the results of one-way analysis of covariance, different brain areas were superimposed to obtain the overlapping regions (the left striatum). Next, the superimposed brain region (the left striatum) was used as the region of interest (ROI), and the customized ROI method was used for the whole-brain functional connectivity analysis. Finally, Pearson correlation analysis was performed between the functional connectivity of the brain regions and clinical features of MDD and schizophrenia.Result:Among the three groups, left striatum extending to the insula and Rolland′s insula showed significant differences of the ReHo values ( P<0.001, AlphaSim correction, voxel number >99);while left superior parietal areas and bilateral insula extending to lentiform nucleus showed significant differences of fALFF values (AlphaSim correction, P<0.001, voxel number >90). The left striatum were superimposed and revealed significant ReHo and fALFF values. The ROI analysis showed that the brain area with different functional connections in the three groups was left inferior temporal gyrus (AlphaSim correction, P<0.001, volume element number>42). The pairwise comparative analysis showed that compared with healthy controls (0.24±0.03), patients with MDD (0.15±0.02) and schizophrenia (0.09±0.01) showed decreased functional connections between the left striatum and the inferior temporal gyrus, and the decline was more significant in patients with schizophrenia. The functional connectivity value of left inferior temporal gyrus was not correlated with HAMD score in MDD( r=-0.02, P=0.93). The functional connectivity value of left inferior temporal gyrus was positively correlated with PANSS positive score in patients with schizophrenia ( r=-0.40, P=0.02). Conclusion:Both MDD and schizophrenia patients may have abnormal function connections of the striatum and the abnormal function connection with the left temporal inferior gyrus may closely related to clinical symptoms of schizophrenia. The brain function activity of striatum and its abnormal connection with the left temporal inferior gyrus may play an important role in the neuropathology of schizophrenia and MDD.

COVID-19 had caused the epidemic in Wuhan of China in December 2019. The asymptomatic infection of COVID-19 was found with the further research. This paper summarizes the discovery of the asymptomatic infection cases, analyzes their outcomes and transmission risks, and put forward the targeted suggestions for the prevention and control of asymptomatic infection of COVID-19 according to the existing problems in epidemic response.

Objective:To compare the characteristics and correlation of brain activity and cognitive function between depression and schizophrenia.Methods:36 normal controls (NC), major depression disorder (MDD) and schizophrenia (SZ) patients participated in this study. Digital symbol test (DST), digital span test (DSPT), and verbal fluency test (VFT) were performed. All subjects underwent resting-state fMRI. Routine preprocessing of resting-state fMRI data was performed. The regional homogeneity (ReHo) and fractional amplitude of low frequency fluctuation(fALFF) values were calculated. Cognitive function assessment and brain functional activity characteristics were compared among the three groups. Pearson correlation was used to analyze the correlation between cognitive impairment and brain functional activity.Results:(1) Compared with NC （68.75±10.40, 9.22±1.07, 5.95±1.67, 22.39±4.53）, DST, DSPT and VFT scores decreased in MDD (60.86±10.75, 8.06±0.80, 5.19±1.12, 19.36±2.85） and SZ (46.64±9.50, 7.50±0.91, 4.08±1.05, 14.86±3.78).The decline was more significant in the schizophrenia group （ F=2.39, 1.43, 1.52, 2.16, P<0.01）. (2) Significant differences of the ReHo values in the three groups were all in the left lentiform nucleus-insula-Roland′s island ( F=22.1, P<0.001, AlphaSim correction, voxel number>99), with higher ReHo value in MDD, while lower in SZ. Significant differences of fALFF value in the three groups were in the left superior parietal areas and bilateral insula-lentiform nucleus ( F=28.46, 13.12, P<0.001, AlphaSim correction, voxel number>90). Compared with MDD and NC, SZ showed higher fALFF value in the left superior parietal areas and the bilateral insula-lentiform nucleus （ P<0.05）.(3) The results of correlation analysis showed that DST score of MDD was negatively correlated with ReHo value in the left lentil-insula region ( r=-0.38, P=0.02). DSPT score was negatively correlated with fALFF value in insula-lentiform nucleus in SC ( r=-0.39, P=0.02). Conclusion:The cognitive impairment of schizophrenia is more serious than that of depression; Abnormal activity of parietal lobe, insula and striatum can be prominent in both depressive and schizophrenias patients, and the three brain regions might be the key locations that distinguish schizophrenia from depression in terms of the cognitive impairment.

Objective:To compare the characteristics and correlation of brain activity and cognitive function between depression and schizophrenia.Methods:36 normal controls (NC), major depression disorder (MDD) and schizophrenia (SZ) patients participated in this study. Digital symbol test (DST), digital span test (DSPT), and verbal fluency test (VFT) were performed. All subjects underwent resting-state fMRI. Routine preprocessing of resting-state fMRI data was performed. The regional homogeneity (ReHo) and fractional amplitude of low frequency fluctuation(fALFF) values were calculated. Cognitive function assessment and brain functional activity characteristics were compared among the three groups. Pearson correlation was used to analyze the correlation between cognitive impairment and brain functional activity.Results:(1) Compared with NC （68.75±10.40, 9.22±1.07, 5.95±1.67, 22.39±4.53）, DST, DSPT and VFT scores decreased in MDD (60.86±10.75, 8.06±0.80, 5.19±1.12, 19.36±2.85） and SZ (46.64±9.50, 7.50±0.91, 4.08±1.05, 14.86±3.78).The decline was more significant in the schizophrenia group （ F=2.39, 1.43, 1.52, 2.16, P<0.01）. (2) Significant differences of the ReHo values in the three groups were all in the left lentiform nucleus-insula-Roland′s island ( F=22.1, P<0.001, AlphaSim correction, voxel number>99), with higher ReHo value in MDD, while lower in SZ. Significant differences of fALFF value in the three groups were in the left superior parietal areas and bilateral insula-lentiform nucleus ( F=28.46, 13.12, P<0.001, AlphaSim correction, voxel number>90). Compared with MDD and NC, SZ showed higher fALFF value in the left superior parietal areas and the bilateral insula-lentiform nucleus （ P<0.05）.(3) The results of correlation analysis showed that DST score of MDD was negatively correlated with ReHo value in the left lentil-insula region ( r=-0.38, P=0.02). DSPT score was negatively correlated with fALFF value in insula-lentiform nucleus in SC ( r=-0.39, P=0.02). Conclusion:The cognitive impairment of schizophrenia is more serious than that of depression; Abnormal activity of parietal lobe, insula and striatum can be prominent in both depressive and schizophrenias patients, and the three brain regions might be the key locations that distinguish schizophrenia from depression in terms of the cognitive impairment.

Objective: To evaluate the value of computed tomography (CT) multi-planner reconstruction (MPR)in the treatment of lung cancer with percutaneous argon-helium cryoablation.Method:A total of 66 patients with stage T2 or T3 non-small cell lung can-cer who had complete follow-up data were treated with percutaneous argon-helium cryoablation with conventional axial CT(conven-tional group)or MPR guidance(MPR group)between January 2013 and 2016.There were 31 patients in the conventional group and 35 in the MPR group.The total number of punctures,the total time of operation,and the incidence of complications,tumor residual rates,and local control rates were compared between the two groups.Results:When the number of needles was the same,the aver-age number of punctures and puncture errors in the two groups were significantly lower in the MPR group than in the conventional group(P<0.05).Comparing the average operation time,there was no statistical difference between the MPR group and the conven-tional scan group(P>0.05).The incidence of postoperative complications was significantly lower in the MPR group than in the conven-tional scan group.Among them,the incidence of puncture combined hemorrhage was 1.52% vs.13.64%,and pneumothorax second-ary to puncture was 3.03% vs.19.70%(P<0.05).During the follow-up period to 12 months after surgery,the therapeutic benefit indica-tors such as local residual rate and total effective rate in the MPR group were also significantly better than those in the conventional group,which were 1.52% vs.10.61 and 51.52% vs.36.36%(P<0.05),respectively.Conclusions:Using MPR technology to guide percuta-neous argon-helium cryoablation treatment for lung cancer confers a small puncture error,low incidence of complications,and signifi-cant treatment benefits.This method is worthy of clinical promotion.