Objective: To study the gender differences in ERPs recorded during a recognition task for Chinese words. Methods: 15 male and 15 female healthy volunteers received a Chinese words recognition task and the EEG signals were recorded from 20 scalp sites simultaneously. The stimuli were meaningful words consisting of two Chinese characters. Results: Both men and females showed a positive-going parietal old/new effect, but females demonstrated larger P500 amplitudes and shorter P500 latency than males. Furthermore, the parietal old/new effect of males was significantly left-lateralized, while that of females showed more bilateral pattern. Only males elicited obvious frontally distributed old/new effect between 250 and 350 ms, which was negative-going and right-lateralized. Conclusion: Gender differences do exist in the recognition processing of Chinese words. Some of the gender differences could be interpreted as reflecting different strengths and speed of brain activation and others could be interpreted as reflecting the involvement of different neural structures.

Objective: To develop a Chinese version of the Schedule for the Deficit Syndrome(SDS) and examine its reliability and validity. Methods: 123 schizophrenic patients finished the Chinese version of SDS and were subtyped into deficit (n=30) and nondeficit(n=93) groups. In addition, all patients completed BPRS, SANS and SAPS. The reliability analysis of SDS included Cronbach's ?琢 coefficients and mean inter-item correlations and the inter-rater reliability; while the validity analysis included construct validity and criteria validity. Results: The Cronbach's ?琢 coefficient and the mean interitem correlation coefficients of the negative symptoms severity subscale of SDS were 0.8441 and 0.4818, respectively. The inter-rater reliability for categorization was 0.8777. The correlation coefficients of the six negative symptom items with the total score ranged from 0.685 to 0.875,and that among the six negative symptom items ranged from 0.437 to 0.794. The negative symptom items and the total score of SDS were significantly correlated with the anergia factor score from the BPRS and the total score and several subscale scores of SANS, while none of them was correlated with subscale scores and total score of SAPS. Conclusion: The Chinese version of SDS was a reliable and valid measure for the diagnostic classification of deficit and nondeficit schizophrenia.

Objective:To explore the relation among depression, anxiety, coping styles and personality in patients with major depression.Method:88 patients with major depression were assessed on admission. The assessments included Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale(SAS),Eysenck Personality Questionnaire and Coping Styles Questionnaire. Nighty normal controls were assessed with the same instruments too.Results:The patients were found having higher scores in Neuroticism and Psychoticism, and lower scores in Extroversion and positive coping styles than normal controls.Higher scores in SDS, SAS, Neuroticism, and Psychoticism, and lower scores in positive coping styles, were found in the patients with anxiety. Significant relationship was found among depression, SAS, Extroversion, and positive coping styles.The last three accounted for 52.0% of the variance of depression.Conclusion:The patients with major depression have high scores in Neuroticism and Psychoticism, and low in Extroversion and positive coping styles.Those with anxiety scored even higher in SDS, SAS, Neuroticism, and Psychoticism, and lower in positive coping styles.The application of little positwe coping styles moy be a part of Extrovision in major depresion.

Objective To examine the differences in the structure of brain white matter among deficit schizophrenia, nondeficit schizophrenia and healthy controls by using voxel-based morphometry (VBM). Methods Ten deficit schizophrenic patients, eleven nondeficit patients and fifteen healthy comparison subjects participated in the study. All the subjects were scanned by GE Twin Speed 1.5T MRI system. Whole brain, voxel-wise analyses of regional white matter volume were conducted by the VBM toolbox on the Matlab7.6 and SPM5. t -test was then used for the comparison between groups. Results Compared to the healthy controls, nondeficit schizophrenic patients significantly decreased the density of gray matter in the frontal, parietal, temporal, occipital lobe and basal ganglia , while the deficit patients showed the characteristically broad and significant decreasion in the frontal lobe, including left medial frontal gyrus, bilateral inferior frontal gyrus, left middle frontal gyrus, and left orbital gyrus (Cluster ≥ 30 mm3, P<0.01). Moreover, deficit patients showed the decreasion in the temporal cortex and the limbic lobe (right insula). Relative to the nondeficit schizophrenic patients, deficit patients had significant regional gray matter decreases in the left medial frontal gyrus, bilateral inferior frontal gyrus, right precentral gyrus, and right superior temporal gyrus (Cluster ≥ 30 mm3, P<0.01). Conclusion Structural heterogeneity in schizophrenia may relate to specific patterns of gray matter density reductions in deficit and nondeficit patient. However the two subtype of schizophremia patients share a common prefrontal-temperal pattern of structural brain alterations.

Child and adolescent mental disorders are common disorders with various symptoms,and attracting more attention due to the increasing prevalence.Mental disorders,especially the attention-deficit hyperactivity disorder (ADHD) and the autism spectrum disorder (ASD),have great influence on the development of children and adolescents.Nowadays,the biomarkers from neuroimaging such as magnetic resonance imaging (MRI) have a great importance on the diagnosis of mental disorders,and machine learning has been proved to be very powerful in the processing for neuroimages.Nowadays,many researchers are focusing on the studies of computer-aided diagnosis (CAD) based on machine learning and neuroimaging.In this review,the technical details of machine learning based CAD of child and adolescent mental disorders are briefly introduced,and the research progress in CAD of ADHD and ASD based on machine learning and structural MRI are summarized.These studies showed that many machine learning methods have been used in the diagnosis of child and adolescent mental disorders,but the relevant methods cannot be applied to clinical diagnosis.Further studies should be conducted to improve the diagnostic ability of machine learning methods from multiple perspectives,and provide an objective and reliable tool for the clinical diagnosis of child and adolescent mental disorders.

OBJECTIVE: To examine the structural differences in regional gray matter density between a sample of major depressive disorder (MDD) and healthy controls, using the magnetic resonance imaging (MRI) to find the base of pathophysiologic mechanism in depression development. METHODS: A total of 38 MDD patients and 42 healthy subjects enrolled in the MRI scans. Voxel-based morphometry was used to test the difference in gray matter between the 2 groups. RESULTS: The MDD group showed significantly lower gray density than the healthy control group in the right middle frontal gyrus, right superior frontal gyrus, left inferior frontal gyrus and left superior frontal gyrus. However, the healthy control group showed significantly lower gray density than the MDD group in the right precuneus, left anterior central gyrus and right anterior cingutate. CONCLUSION Structural brain abnormalities in MDD patients may be the pathological bases for MDD development.
Adult ; Brain ; pathology ; Case-Control Studies ; Depressive Disorder, Major ; pathology ; Female ; Frontal Lobe ; pathology ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Male ; Young Adult

Objective To explore the relation between constraint-induced movement therapy (CIMT) and hemodialysis-relative hypotension.Methods From April 2015 to March 2016,80 patients with hemodialysis therapy were divided into the control group (n=40) and the observation group (n=40). The observation group adopted CIMT, including position adaption training,respiratory control training,regular turning-over training,griping training,sitting up training,and standingup training. While patients in the control group received common hemodialysis nursing. Results The incidence rates of hypotension were 12.50% and 25.00% in the observation group and the control group respectively (χ2=2.885,P<0. 05). The average duration of hemodialysis in the observation group was (3.44±0.71) h,and it was (2.39±0.58) h in the control group (P<0.05). All patients in the observation group completed hemodialysis,and 80.0% patients in the control group completed hemodialysis (χ2=7.520,P<0.05). The adaptation of hemodialysis and degree of satisfaction in the observation group was significantly higher than those in the control group (P<0.05).Conclusions CIMT was effective in reducing hemodialysis-related hypotension,and it can ensure the procedure of hemodialysis.

Objective To study topological structure of a new type of three-dimensional (3D) printed height increasing insoles for leg length discrepancy (LLD) and its effect on biomechanics of lower limbs. Methods Topological structure for middle and rear part of the insole was optimized by solid isotropic microstructures with penalization (SIMP), the force was loaded and the boundary conditions were set according to force area of the insole, and the height increasing insole with thermoplastic polyurethanes (TPU) materials was printed by selected laser sintering (SLS). The insoles were used in 9 patients with LLD, visual analogue scale (VAS) and Maryland foot function scores were used to compare pain and foot function changes of patients before and after using the insole, and the 3D gait analysis system was used to compare spatiotemporal parameters and vertical ground reaction force (vGRF) of both lower limbs. Result sAfter the patient wore 3D printed insole, VAS scores decreased, Maryland foot function scores increased, vGRF of both lower limbs decreased, and the difference of cadence, stance phase and swing phase in both lower limbs decreased. Conclusions The 3D printed height increasing insole after topology optimization can improve coordination of lower limb movement, reduce ground impact, relieve pain and improve foot function, thus providing an effective personalized orthopedic plan for LLD treatment in clinic.

OBJECTIVE To analyze and identify non-target proteins in human albumin and human immunoglobulin by ultra high performance liquid chromatography tandem linear ion trap orbitrap mass spectrometry. METHODS The extract was separated on a ACQUITY UPLC peptide BEH C18(300Å, 1.7 μm, 2.1 mm×100 mm) column and the gradient elution was performed with mobile phase consisting of 0.1% formic acid aqueous solution-0.1% formic acid acetonitrile. The analytes were detected in Full MS/dd-MS2(TopN). RESULTS A total of 52 non-target proteins were identified from human albumin and human immunoglobulin. Among them, 25 non-target proteins were identified in human albumin samples, and 27 non-target proteins were identified in human immunoglobulin samples. CONCLUSION The established qualitative method can rapidly, accurately and systematically identify various proteins in human albumin and human immunoglobulin. The results provide reference for the quality control of the preparation as well as its further clinical application.