Objective To evaluate the sickness impact and the quality of life in patients who received 131 I treatment for Grave's disease with one year of follow-up.Methods 376 patients with Grave's disease(GD) who voluntarily received 131I treatment were recruited.The follow-up archives were established.The Sickness Impact and the Quality of life in patient' s with GD were measured using the Sickness Impact Profile (SIP),Self-Rating Anxiety Scale (SAS),Self-Rating Depression Scale(SAS) and Social Disability Screening Schedule (SDSS) and Quality of life scale(QLS,SF-36) before and after treatment with 131I for 6 months and 12 months.Results 57 out of 376 cases were lost.319 cases finished follow-up studies.There was significant difference of SAS,SDS,SDSS,SIP and SF-36 and their agent score among three groups:before and 6months and 12months after 131I treatment in the 319 patients(F=8.561-1080.317,P＜0.001).After treatment with 131I,SAS,SDS,SDSS and SIP score were lower(P＜0.05),SF-36 total and agent score were higher(P＜0.05).There was no significant difference between the score of SAS,SDS,SDSS,SIP total score and it' s agent score of SD-Ⅱ,SR,W,SF-36 agent score of RP,BP,VT,SF at the end of 12 months compared to the score at the end of 6 months(P＞0.05).But there was significant difference between the score of SIP agent score of SD-Ⅰ,HM,RP,SF-36 total score and it' s agent score of PF,GH,RE,M H at the end of 12 months compared to the score at the end of 6 months (P＜0.05).At the end of 6 months and 12 months after treatment the subjects were divided five groups according to different clinical outcome.Not only at the end of 6 months,but also at the end of 12 months,there was significant difference of SAS,SDS,SDSS,SIP total score,and it' s agent score of SD-Ⅰ,SD-Ⅱ,SR,W,RP,SF-36 total score,and it's agent score PF,RP,BP,GH,VT,SF,RE,MH among the five groups(F6 =6.870-143.790,F12 =13.956-837.184,P＜0.001).There was no significant difference of HM among five groups (F6 =1.733,P6 =0.142; F12 =2.015,P12 =0.092).The score of SF-36 and its agent score PF,RP,VT,SF,RE,MH in three subgroup (healthy control,the patient group at end of 6 months and 12 months with normal thyroid function) was significant different,respectively(F=8.320-82.791,P＜0.001).There was no significant different for agent score of BP and GH(F=2.990,2.652,P=0.051,0.072).Conclusion Quality of life of patients with GD is decrease.131I treatment can improve it,but socialpsycho function can not be improved satisfactorily.It is necessary for GD patients to pay attention to the quality of life and provide effective mental intervention to improve the recovery completely.

Objective To investigate the changes of hypothalamic-pituitary-adrenal axis (HPA)function, volume of the hypothalamic, pituitary and adrenal glands in elderly patients with depression. Methods Twenty-five cases of elderly patients with depression and 19 healthy elderly patients were enrolled into the patient group and the healthy control group, respectively. Enzyme linked immunosorbent assay was used to measure the level of the main hormone related with HPA axis in blood. The low dose dexamethasone suppression test was used to assessassessment the negative feedback regulation of HPA axis. The volume of the hypothalamus, pituitary and adrenal glands were determined by the magnetic resonance imaging. Results The Beck Depression Scale (BDI-II) and Montgomerie Rating Scale (MADRs) score of the elderly depression patients were significantly higher than those in the healthy control group (P < 0.01). The values of main hormone related with HPA axis in the patient group, such as CRH, ACTH and CORT, were higher than those in the healthy control group (P<0.01). The non- suppression rate of low dose dexamethasone suppression test in the patient group was significantly higher than that in the healthy control group (P < 0.05). The hypothalamus, pituitary and adrenal gland volume of patients group were 4.7%, 18.3% and 17.5% ,respectively. Significant the differences of pituitary and adrenal volume were observed between two groups (P < 0.05). Conclusion The levels of main hormone related with HPA axis in the elderly patients with depression were significantly increased, the non-suppression rate of low dose dexamethasone suppression test was also increased. Meanwhile, the volume of pituitary and adrenal gland in the elderly patients with depression increased.

Objective To explore the cool execution function (CEF)and its influence factors before and after treatment in drug-na?ve, first-episode schizophrenics. Methods Twenty-one drug-naive, first-episode schizophrenics (patients group) and 25 healthy persons (control group) were interviewed by using the SCID. The severity of clinical symptoms was respectively assessed in patient group before treatment and after 8 weeks using the Positive and Negative Syndrome Scale (PANSS). The Trail-Marking Test A-B (TMT A-B) and Hanoi Tower Test (HTT) were conducted to assess cool executive function. Reaction time and the number of errors of TMT A-B’s and HTT’s reaction time and operative steps were recorded. Results Before treatment, the patient group’s reaction time was longer in HTT and TMT A-B than that in the control group's (P = 0.013;P = 0.000;P =0.001), respectively. Error number of TMT-B in the patient group was more than that in the control group (P =0.015); The operative steps of HTT and error number of TMT A were no statistical difference than those in the control group. After treatment, reaction time of TMT A reduced significantly than before treatment (P = 0.002);Before and after treatment , patients ’ reaction time of HTT and TMT B , operative steps of HTT and the error number of TMT A-B were all no statistical difference. Running multiple linear regression , reaction times of TMT-B was positively correlated with negative symptoms (β = 7.198,P = 0.012), and the error number of it was positively correlated with positive symptoms (β = 0.382,P = 0.024). Conclusions CEF in patients with drug-naive, first-episode schizophrenia is affected in a certain degree, especially the flexibility and attention transfer. Symptoms is the most serious influence factors. Treatment in sympotoms earlier is the important way to protect cool cognition.

Objective To investigate the characteristics and relationship of cognitive function and resting state functional magnetic resonance imaging(fMRI) amplitude of low-frequency fluctuations (ALFF)in childhood and adolescence-first-onset obsessive-compulsive disorder(OCD).Methods Twenty-four childhood and adolescence-first-onset OCD patients (patient group) and thirty-three age/gender/education-matched healthy controls (healthy control group) were enrolled in this study.The participants' cognitive function was tested with trail making test (TMT),symbol coding,Hopkins verbal learning test-revised (HVLT-R),brief visuospatial memory test-revised (BVMT-R),verbal fluency test (VF),digital span test,maze test and Stroop test.Then a resting-state fMRI scan was conducted for each participant.Amplitude of low-frequency fluctuation approach was used to explore the differences of resting-state brain function between patients and controls,and analyze the significant brain regions by adopting t test.The cognitive functions of patients and healthy control group in the significant brain regions were compared by using Pearson correlation analysis.Results The patient group had lower scores than healthy control group in symbol coding,BVMT-R and digital span test,and the differences were statistically significant [(45.24 ± 10.32)scores vs.(56.85 ± 9.57) scores,(21.94 ± 6.99) scores vs.(30.58 ± 3.92) scores,(64.06 ± 20.00) scores vs.(78.03 ±18.08) scores;t =3.96,4.90,2.50;all P ＜ 0.05].Corrected by Alphasim,patient group showed significantly increased ALFF in the left and fight temporal lobe,left and fight posterior lobe of cerebellum,right middle temporal gyrus,but ALFF decreased in the area of left and right lenticula,left putamen compared with the healthy control group (all P ＜ 0.05).The patients group showed that TMT scores were positively correlated with the value of ALFF in the right temporal lobe (r =0.67),and color scores were positively correlated with the value of ALFF in the right middle temporal gyrus (r =0.53),but colour scores were negatively correlated with the value of ALFF in the right tcmporal lobe (r =-0.54);the healthy control group showed that BVMT-R and digital span test scores were positively correlated with the value of ALFF in the left temporal lobe (r =0.47,0.41),but digital span test scores were negatively correlated with the value of ALFF in the right temporal lobe (r =-0.49),and colour scores were negatively correlated with the value of ALFF in the left temporal lobe (r =-0.35),while word and color-word scores were negatively correlated with the value of ALFF in the right middle temporal gyrus (r =-0.39,-0.36);the correlation coefficient above had statistical significance (all P ＜ 0.05).Conclusions The childhood and adolescence-first-onset OCD patients had cognitive impairment,including speed of processing,visual learning and memory,working memory;and the patients showed abnormal spontaneous neural activity at some brain regions.The cognitive dysfunction may be associated with abnormal spontaneous neuronal activity in childhood and adolescence-first-onset OCD.

Objective:To explore the abnormalities of efficiency in resting state functional brain network in patients with paranoid schizophrenia and the correlations between efficiencies and clinical symptoms.Methods:A total of 73 patients with schizophrenia (SZ group) met with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-Ⅳ) criteria for schizophrenia and 70 healthy controls (HC group) were included .All subjects were checked by using functional magnetic resonance imaging (fMRI), and positive and negative syndrome scale(PANSS) were used to assess the symptoms.Abnormalities of global and local efficiency of brain regions in brain functional network were analyzed by graph theory.Pearson correlation was used to analyze the correlation between the abnormal global efficiency and local efficiency of brain regions of SZ group and PANSS.SPSS 20.0 software was used for dependent-sample t-test, ANOVA test and Pearson correlation analysis. Results:Compared with the HC group, SZ group showed increased global efficiency in bilateral thalamus(left: 0.26±0.06, 0.28±0.04, t=2.03, P=0.044.right: 0.26±0.06, 0.28±0.05, t=2.08, P=0.040), right orbital part of middle frontal gyrus(0.21±0.04, 0.23±0.05, t=2.25, P=0.026), cerebellar lobule Ⅸ(0.19±0.06, 0.21±0.05, t=2.56, P=0.011) and vermis Ⅲ(0.15±0.08, 0.19±0.07, t=3.27, P=0.001), while decreased global efficiency in bilateral parahippocampal gyrus(left: 0.25±0.05, 0.22±0.05, t=-3.34, P=0.001.right: 0.27±0.04, 0.23±0.05, t=-4.96, P=0.000), superior occipital gyrus(left: 0.27±0.03, 0.26±0.03, t=-2.70, P=0.008.right: 0.27±0.02, 0.26±0.03, t=-2.73, P=0.007), superior parietal gyrus(left: 0.27±0.03, 0.26±0.05, t=-2.63, P=0.010.right: 0.27±0.03, 0.25±0.05, t=-2.76, P=0.007), paracentral lobule(left: 0.28±0.03, 0.26±0.07, t=-2.47, P=0.015.right: 0.28±0.04, 0.25±0.07, t=-3.06, P=0.003), left precental gyrus(0.28±0.04, 0.27±0.04, t=-1.98, P=0.049), left cuneus(0.26±0.04, 0.25±0.04, t=-2.08, P=0.039), left lingual gyrus(0.29±0.03, 0.28±0.03, t=-2.28, P=0.024), left middle occipital gyrus(0.29±0.03, 0.28±0.03; t=-2.74, P=0.007), left middle temporal gyrus(0.28±0.03, 0.26±0.03, t=-2.73, P=0.007), temporal pole in left middle temporal gyrus(0.20±0.06, 0.18±0.06, t=-2.59, P=0.011) and right hippocampus(0.27±0.04, 0.26±0.06, t=-2.05, P=0.042).Compared with the HC group, SZ group showed increased local efficiency in bilateral caudate nucleus(left: 0.33±0.06, 0.35±0.05, t=2.54, P=0.012.right: 0.33±0.07, 0.35±0.04, t=2.77, P=0.007) and left superior occipital gyrus(0.39±0.03, 0.40±0.02, t=2.17, P=0.031), while decreased local efficiency in bilateral parahippocampal gyrus(left: 0.35±0.04, 0.32±0.07, t=-3.16, P=0.002.right: 0.34±0.04, 0.32±0.07, t=-2.91, P=0.004), left supplementary motor area(0.36±0.02, 0.35±0.05, t=-2.01, P=0.047), left inferior parietal but supramarginal and angular gyrus(0.35±0.03, 0.34±0.05, t=-2.65, P=0.009), left cerebellar crus Ⅱ(0.37±0.03, 0.36±0.04, t=-2.01, P=0.046), lobule ⅦB(0.37±0.03, 0.35±0.07, t=-1.98, P=0.049), right posterior cingulate gyrus(0.36±0.04, 0.34±0.07, t=-2.07, P=0.041), right superior parietal gyrus(0.37±0.03, 0.36±0.05, t=-2.19, P=0.031), right precuneus(0.36±0.02, 0.35±0.04, t=-2.36, P=0.020), right paracentral lobule(0.37±0.02, 0.36±0.06, t=-2.07, P=0.041) and right temporal pole in middle temporal gyrus(0.33±0.08, 0.30±0.09, t=-2.09, P=0.038).The global efficiency of bilateral paracentral lobule and left temporal pole in middle temporal gyrus in SZ group were negatively correlated with the negative scale scores( r=-0.25, -0.25, -0.26, all P<0.05).The global efficiency of right hippocampus in SZ group was positively correlated with total scores of PANSS( r=0.23, P=0.049).The global efficiency of left middle temporal gyrus in SZ group was negatively correlated with total scores of PANSS( r=-0.23, P=0.049).The local efficiency of right paracentral lobule in SZ group was negatively correlated with the positive scale scores( r=-0.24, P=0.038). Conclusion:The brain networks of patients with first-episode paranoid schizophrenia may have regional dysfunction in the transmission efficiency and fault-tolerant ability of resting state brain functional network, and the abnormalities of efficiency may be associated with the severity of psychiatric symptoms in several brain regions.

ObjectiveTo analyze the gene expression of neuregulin1 (Nrg1)mRNA and protein in encephalic region and peripheral blood,and to explore the consistency of the expression in central and peripheral in schizophrenia model rat induced by dizocilpine maleate ( MK801 ).Methods30 adult male SD rats were randomly divided into 3 groups ( 10 cases per group):model group injected with MK801 (0.6 mg/kg and 100μl/20 g)on the right rear of ventrolateral compartment,control group 1 ( no treatment) and control group 2 injected with equal volume normal saline.Nrg1 mRNA was measured in peripheral blood and in prefrontal lobe by using semiquantitative RT-PCR in 3 groups,and Nrg1 protein was measured in encephalic region (prefrontal lobe,dentate band and hippocamp) by using immunohistochemistry.ResultsThere was significant difference of the amount of Nrg1 mRNA among 3 groups (for center:F=9.141,P =0.001 ;for peripheral blood F =8.389,P =0.001 ),and it was higher in model group ( center:2.08 ± 0.64; peripheral blood:1.43 ± 0.46) than that in two control groups ( control group1,center:1.17 ± 0.42,peripheral blood:0.78 ± 0.39 ; control group 2,center:1.31 ± 0.44,peripheral blood:0.79 ± 0.37 ),but no statistical significant difference existed between two control groups.There was positive correlation of Nrg1 mRNA between center and periphery.There was significant difference of Nrg1 protein in prefrontal lobe,dentate band and hippocamp among 3 groups ( F value was 7.275,21.50 and 4.619,and P value was 0.003,0.000 and 0.019,respectively),and it was higher in model( 7.71 ± 2.55,11.67 ± 1.83and 10.18 ±2.08,respectively)than that in two control groups( control group 1:4.89 ± 1.06,7.53 ± 1.14 and 7.10 ± 2.52,respectively; control group 2:5.31 ± 1.39,8.10 ± 1.60 and 7.81 ± 2.50),but no statistical significant difference existed between two control groups.ConclusionMK801 can effect on the expression of Nrg1 gene,Nrg1 mRNA and protein increase in MK801 model rat,and the change is synchronous between center and periphery.

Objective To investigate the spontaneous activity of brain neurons in patients with obsessive－compulsive disorder (OCD) under resting state. Methods Forty－eight OCD patients and 50 age－, gender－ and year of education－matched normal controls were enrolled. All the subjects underwent 3.0 T fMRI to acquire resting state brain image. The brain regions with significant differences in amplitude of low－frequency fluctuation (ALFF) between patients and controls were analyzed. Whole－brain functional connectivity (FC) were analyzed using the brain regions with significant differences as seed points, and the correlation between brain regions with significant differences in ALFF and FC analysis and obsessive－compulsive symptoms was analyzed. Results Compared to the control group, the ALFF of left dorsolateral prefrontal cortex increased in patients with OCD (t=4.305, P＜0.001). Compared to the controls, the analysis of whole－brain FC (based on MNI template) with the left dorsolateral prefrontal cortex as the regions of interest showed that the FC strength between the left dorsolateral prefrontal cortex and right orbital inferior frontal cortex (t=3.897, P＜0.001), left anterior cingulate cortex (t=3.370, P＜0.001), right anterior cingulate cortex (t=4.299, P＜0.001), left middle cingulate cortex (t=3.220, P＜0.001), right middle cingulate cortex (t=4.607, P＜0.001) enhanced; the FC strength between the left dorsolateral prefrontal cortex and the left opercular part of inferior frontal gyrus (t=－4.630, P＜0.001) weakened in patients with OCD. The FC between the left dorsolateral prefrontal cortex and the left opercular part of inferior frontal gyrus was negatively correlated with obsessions score(r=－0.369, P=0.014), compulsions score (r=－0.392, P=0.009) and total score (r=－0.393, P=0.008) of the Yale－Brown obsessive compulsive scale (Y－BOCS). Conclusion In patients with OCD, spontaneous neural activity of the left dorsolateral prefrontal cortex is enhanced in resting state, and the FC with multiple brain regions is abnormal. The FC strength between the left dorsolateral prefrontal cortex and the left opercular part of inferior frontal gyrus is associated with obsessive－compulsive symptoms.

Objective:To analyze brain topological property data through machine learning methods and explore changes in brain network topological properties in patients with schizophrenia.Methods:From January 2022 to August 2023, functional magnetic resonance imaging data of 60 patients with schizophrenia and 56 healthy controls were collected , and the data were preprocessed to construct brain functional networks and extract global and nodal topological properties. All subjects were divided into a training group and a testing group.The data of training group were fitted based on support vector machine, and the predictive performance was evaluated through cross-validation.The model was optimized by recursive feature elimination algorithm, then the indicators that contributed the most to predictive performance were extrated.The classification performance of the testing group was calculated based on the trained model with optimal predictive performance.SPSS 20.0 software was used for data analysis, the independent t-test and χ2 test were used for comparing the differences between the two groups. Results:The support vector machine achieved an accuracy of 75.00% in predicting the test group of schizophrenia patients based on all indicators. After removing redundant features and combining with the recursive feature elimination algorithm, the accuracy of the SVM model in predicting the test group increased to 90.00%. The nodal global efficiency(Ne)of the left superior temporal gyrus, right dorsal agranular insula, bilateral dorsal granular insula, bilateral caudal cingulate gyrus, and left lateral orbitofrontal cortex in the model contributed the most to classification.Compared to the control group, patients with schizophrenia had abnormal Ne values in these brain regions.Conclusion:There are multiple brain regions with abnormal Ne values in patients with schizophrenia, indicating that the abnormalities in information integration and transmission functions may be related to the imbalance in the dynamic equilibrium of the patients' brain networks.

Objective:To explore the value of nodal integrated topological attributes (NITA) based on machine learning model in identifying schizophrenia.Methods:A total of 56 patients with first-onset schizophrenia admitted to Department of Psychiatry, Second Affiliated Hospital of Xinxiang Medical University from January 2022 to August 2023 and 56 healthy volunteers recruited from community were selected. Functional MRI data were collected, and brain functional networks were constructed after preprocessing. Global and nodal topological attributes were extracted using graph theory as training features. Participants were divided into training set (46 schizophrenia patients and 46 heathy volunteers) and testing set (10 schizophrenia patients and 10 heathy volunteers). Random Forest Classifier (RFC), Support Vector Machine (SVM), and Gradient Boosting Tree (XGBoost) models were fitted to global and nodal topological attributes in the training set to calculate the accuracy, recall rate, F1 value, and area under receiver operating characteristic curve (AUC) of each model. Generalization ability was analyzed based on the performance of testing set, and excellent topological attributes were screened out. Selected topological attributes were reduced to one-dimensional features through principal component analysis,and then fitted to the above models, and feature-adapted model was selected based on the performances of training and testing sets. Statistical analysis of the new dimensional features of each brain region of schizophrenia patients and heathy volunteers was performed. Combined with false discovery rate (FDR), new dimension features with significant differences were selected and fitted with the adapted model.Results:In the training set, machine learning models using node topological attributes achieved higher accuracy, recall rate, F1 scores, and AUC compared with those using global topological attributes. In the test set, the SVM model using node topological attributes showed stable generalizability (accuracy=75.00%, recall rate=100.00%, F1 score=0.80, AUC=0.92). The node topological attribute metrics were down-dimensionally named NITA. Based on validation results of SVM model using NITA in the training set (accuracy of 77.00%, recall of 72.00%, F1 value of 0.76, AUC of 0.86) and performance in the testing set (accuracy of 66.67%, recall of 83.33%, F1 value of 0.71, AUC of 0.61), SVM was selected as the adapted model. NITA in the right middle frontal gyrus ventrolateral area, left inferior frontal gyrus dorsal area, right precentral gyrus caudal ventrolateral area, left superior temporal gyrus rostral area, right fusiform gyrus lateroventral area, right inferior parietal lobule rostrodorsal area, left occipital polar cortex showed significant difference between patients and volunteers ( P<0.05, FDR-corrected). The optimal model (FDR-PCAN-SVM) obtained via NITA being trained on corresponding brain area reached an accuracy of 93.74%, recall rate of 98.00%, F1 value of 0.94, and AUC of 0.96 in the training set and accuracy of 83.33%, recall rate of 66.67%, F1 value of 0.80, and AUC of 0.92 in the testing set. Conclusion:NITA may serve as a potential image biomarker for schizophrenia identification; brain regions with abnormal NITA is key nodes in information exchange and integration within the brain networks in schizophrenia patients.

Objective:To explore the functional connections of the whole brain and the two hemispheres in patients with obsessive-compulsive disorder (OCD).Methods:Twenty-six patients with obsessive-compulsive disorder(patients group) and thirty-seven healthy controls matched in gender, age and education(control group) were enrolled.All the participants accepted the resting-state functional magnetic resonance (rs-fMRI) scan.Based on DPABI and REST software, degree centrality (DC) and voxel - mirrored homotopic connectivity (VMHC) approaches were used to explore the pattern of functional connection in OCD.Results:Compared with the control group, the DC values in the right posterior cerebellar lobe(MNI: x, y, z=45, -87, -12), left precentral gyrus(MNI: x, y, z=-54, 9, 39), left inferior parietal lobule(MNI: x, y, z=-48, -51, 42), right anterior cingulate cortex(MNI: x, y, z=3, 18, 48) were significantly higher( t values were 5.75, 5.26, 5.28 and 5.16, respectively), and the DC values in the left inferior frontal gyrus(MNI: x, y, z=-36, 9, 30) were significantly lower( t value was -6.65) in patients group.The VMHC values in bilateral posterior cerebellar lobe(MNI: x, y, z=±51, -69, -33), bilateral inferior parietal lobule(MNI: x, y, z=±48, -51, 54), bilateral anterior cingulate cortex(MNI: x, y, z=±3, 21, 45)in patients group were significantly higher that those in control group( t values were 5.19, 5.19, 5.02, 5.02, 5.15 and 5.15, respectively). The DC and VMHC values in patients group were not significantly correlated with clinical symptoms(-0.23< r<0.19, P>0.05). Conclusion:OCD patients have abnormal connections between key brain network nodes and relevant brain regions, and functional connections have increased among multiple cerebral hemispheres.