Non-suicidal self-injury is common in adolescents. At present, the pathological mechanism of non-suicidal self-injury is still unclear, and there is a lack of objective biological markers in diagnosis and treatment, which is an urgent problem to be solved in clinical diagnosis and treatment. The magnetic resonance imaging is an important technique to explore the imaging mechanism of non-suicidal self-injury. The purpose of this review is to systematic evaluation of the latest research results of magnetic resonance imaging of non-suicidal self-injury. It was found that non-suicidal self-injury in people without other mental disorders showed abnormal damage in the orbitofrontal, the dorsolateral prefrontal lobe, the medial prefrontal lobe, the ventrolateral prefrontal lobe, the amygdala, the cingulate gyrus, the supramarginal gyrus, the amygdala, the hippocampus, the insular, the corpus callosum, the thalamus, the putamen, the dorsal striatum, the cuneate prefrontal lobe and the right temporal lobe. These areas are the core areas related to emotional processing, decision-making, cognition and movement. Non-suicidal self-injury with other mental disorders such as borderline personality disorder and depression may be affected by underlying diseases and exhibit different damage patterns, which showing abnormal brain regions related to emotional network, decision-making, social cognition and exercise.The results of this review can be helpful for the future study of the magnetic resonance imaging mechanism of non-suicidal self-injury.

Differentiating bipolar disorder (BD) from unipolar depression (UD) is an important clinical challenge.Review the development of Magnetic Resonance Imaging ( MRI) in distinguishing the BD and UD, identifying objective markers of BD, to optimize clinical decision making.Database including PubMed,Wan Fang,CNKI and so on.The key words were usedunipolar depressionormajor depressive depression,bipolar depression,MRI,modeland so on.A little neuroimaging studies to date have directly compared UD and BD depressions.Most results from these studies suggest more heavy neural circuit abnormalities in BD than UD depression,involved in different brain regions.Predictive models based on neu-roimaging characteristics of BD and UD obtain a higher accuracy and can help differentiate BD from UD.This review serves as a call to highlight the need for more neuroimaging studies to compare individuals with BD depression with individuals with UD depression directly.Using neuroimaging results as objective biological i-dentification markers is a feasible research field.

s Objective: To identify neural correlates for the recognition of familiar verbal voices by measuring regional blood oxygen level-dependent (BOLD) signal by functional magnetic resonance imaging (fMRI). Methods:Thirteen Chinese health male subjects (mean age 26.1 years, SD= 2.9years) participated in the study. All subjects were right-handed and Han nationality. The subjects listened to familiar (subjects' friends) and unfamiliar voices when functional scanning. Functional data were acquired using a 1.5T MRI (GE Systems, USA), and were analyzed using statistical parametric mapping 99 (SPM99). A fixed-effects model was employed to assess the difference in BOLD response between 'familiarity' and 'unfamiliarity' conditions (P

Objective: To explore neural correlates for the recognition of facial expression videos using event-related functional magnetic resonance imaging.Methods:Thirteen right-handed healthy Chinese women underwent blood oxygen level dependent (BOLD) fMRI voluntarily while recognizing happy, sad, neutral emotional faces and fixation cross videos.Results:In comparison with fixation cross, recognition of neutral faces activated the left middle frontal gyrus, the bilateral precentral gyrus, the right amygdala, the left parahippocampal gyrus, the right postcentral gyrus and the left thalamus. In comparison of neutral faces recognition, the recognition of happy faces elicited increased activation in the right medial frontal gyrus, the right superior frontal gyrus, the middle frontal gyrus, the right anterior cingulated gyrus, the left subcallosal gyrus, the right superior occipital gyrus, the left middle occipital gyrus and the right superior temporal gyrus; while the recognition of sad faces activated the left medial frontal gyrus, the right middle frontal gyrus, the left inferior temporal gyrus and the left superior temporal gyrus.Conclusion:This study indicates that the recognition of facial expression is mediated by a distributed cortical network, and the medial frontal gyrus may be involved in discriminating different affective information, while the superior temporal gyrus may play an important role in processing the dynamic characters of face.

Depression is a common mental disorder with high incidence rate and low remission rate.The prediction of therapeutic effect in depression is limited to clinical features and neuroimaging.Reviewed the Results of magnetic resonance imaging for predicting the treatment response in depression and explored the Objective image markers for predicting the therapeutic effect in depression.It showed that the studies mainly focused on emotion regulation neural circuitry and few on reward neural circuitry.Prefrontal cortex,cingulate cortex,amygdala and hippocampus play important roles on predicting therapeutic effect.The study of magnetic resonance imaging for predicting therapeutic effect in depression is a feasible research field.More researches of finding the role of reward neural circuits in predicting the effect of antidepressants are needed.The brain structure and function of the neural circuits involved in depression and predicting the effect of anti-depression need to be studied by multimodal MRI method.

Objective In our previous work, the prevalence of anti-endothelial cell antibodies(AECA) in patients with systemic vasculitis and other autoimmune diseases was analyzed. AECA against a 47 000 endothelial cell antigen was found in patients of a variety of systemic vasculitis and systemic lupus erythematosus (SLE). It was suggested to be α-enolase by the combination of immunoblotting and proteomics methods. The aim of this work is to demonstrate that α-enolase is one of the targets of AECA, and to detect the prevalence of anti-α-enolase antibody in sera of patients with autoimmune disorders including systemic vasculitis. Methods The CDS of human Enol gene was amplified by polymerase chain reaction (PCR), with template of human placenta λzap express Cdna library. The product was then recombined with expression vector. After expression and purification from E.coli, the recombinant protein was analyzed by mass spee-trometry. The prevalence of anti-α-enolase antibody in patients with autoimmune disorders including systemic vasculitis was tested by Western blot and enzyme-linked immunosorbent assay (ELISA). Results The CDS of human Enol gene was subcloned to the expression vector. Recombinant human α-enolase was expressed and purified in E.coli. The recombinant protein was demonstrated to be his-tagged human a-enolase by mass spectrometry. Results of Dot-Blot revealed that the prevalence of anti-α-enolase antibody was 76.7% in systemic vasculitis [including 74.0% in Behcet's disease (BD), 81.5% in Takayasu artefitis (TA), 62.5% in Wegener's granulomatosus (WG), 92.3% in microscopic polyangitis (MPA) and 80.0% in Churg-Stranss syndrome (CSS)], 78.3% in SLE, 63.6% in Sjogren's syndrome (SS) and 78.9% in rheumatoid arthritis(RA). No positive signals were detected in sera of normal controls or patients with polymyositis/ dermatomyositis (PM/DM). There was no statistical significance among positive rates of anti-α-enolase antibody in systemic vasculitis, SLE, SS or RA patients. The prevalence of positive signals at the most extensive level (+++～++++) was 51.7% in patients with systemic vasculitis, 33.3% in SLE, 42.9% in SS and 20.0% in RA. There was statistical significant difference between RA and systemic vasculitis. Conclusion The identification of human α-enolase as one of the targets of AECA and its prevalence in a variety of autoimmune disorders will shed some light on the understanding of the pathogenesis of vascular injury in autoimmune diseases.

Objective To analyze the difference of frontal-cingulate functional connection between patients with major depression and healthy controls in recognization of sad facial expression, and discuss the neutral basis of emotional bias in preliminary. Methods 12 female patients with major depression and 12 matched healthy controls were scanned. The intensities of brain activation in the process of sad and neutral facial expression recognition were analyzed, and the strengths of frontal-cingulate functional connection were compared between the two groups based on dynamic causal modeling. Results Comparing the stimulus adjusting connection models with Bayesian model indicated that model Ⅱ matched with the observation data better. In the comparison between model Ⅱ and model I ,the average Bayes factor was more than 7.38. In the comparison between model Ⅱ and model Ⅲ,the average Bayes factor was more than 2.71. Calculating the intrinsic connection parameters and stimulus adjusting connection parameters based on intrinsic connection model and stimulus adjusting connection model( model Ⅱ ), the result showed that connection strength between anterior cingulate and right inferior frontal gyrus in depression was greater than that in healthy controls. Conclusion The frontal-cingulate functional connection of patients with major depression is increased abnormally ,which may be the neural basis of negative emotional bias.

Objective To investigate the white matter microstructural changes of cingulation and congni-tive function impairment in patient with major depression. Methods 25 middle-aged first episode patients and 24 nondepressed comparison participants were enrolled,and all the subjects scanned by diffusion tensor imaging and tested by Wisconsin Card Sorting Test. Correlation analysis was done respectively for both two groups with FA and WCST items. Results Male patients with depression decreased FA in the middle frontal lobe ( - 29 24 32,16 voxels),the left superior temporal lobe (-36 -34 16,11 voxels),the sub-gyral of temporal lobe ( -45 1 - 15/ - 47 - 6 - 9; 16/10 voxels) and the right lobe of cingulate (18 - 2 29,22 voxels). And the female patients with depression shows reduced FA in the inferior frontal lobe ( -42 23 4/45 24 6; 15/21 voxels) ,the left precentral gy-rus (39 -44 -15,17 voxels) ,the right medial frontal gyrus (6 16 -18; 10 voxels) ,the left superior temporal lobe ( -55 -31 15; 89 voxels) ,the sub-gyral of temporal lobe ( -38 - 12 - 19;12 voxels) and the right anterior cingulate gyrus (71 26 -9; 15 voxels) (P<0.001 ,cluster > 10 voxels). The Regions of interests analyze with cingulate only found reduced FA in the right lobe of female group(0.26 ±0.05,0.33 ±0.08; P=0.03). Correlation were found between the right anterior cingulate and Rpe (r= -0.49, P = 0. 03) ,the right middle cingulate and Rpe (r= -0.56, P = 0. 01) in depressed patients. No significant association were found in healthy control group(P> 0.05). Conclusion Cingulate white matter fiber is abnormal in first episode depression and these abnormalities may be one of the pathophysiology of major depression.

Objective To explore the features of functional networks about recognizing dynamically positive expression with using magnetoencephalography (MEG) technology and the paradigm of expressional experiment, and further to examine its neurological basis. Methods Twelve depressed patients and twelve age,education-matched healthy controls participated to recognize the dynamically positive expression in the MEG scans. Results In comparison with the healthy,the abnormally activities regions in depressed patients during different time periods were separately as follow;decreased activation in the right inferior parietal lobule(t = 3.94),the right su-pramarginal gyms(t = 3.59),the bilateral posterior cingulated(t = 5. 04, t = 4. 85) ,the bilateral precuneus(t = 3.84) ,the left cuneus(t = 3.58) and increased activation in the bilateral hippocampus(t = 2. 13, t = 2.56) ,the left amygdale(t = 2.41), the bilateral uncus gyrus(t = 2.33, t = 2.44) , the right anterior cingulated (t = 2. 15) , the left fusiform gyms (t = 3. 33) (P < 0. 05, unconnected). Conclusion The results indicate, compared with healthy controls,abnormal brain activities as the weakened function of the medial temporal cortex,parietal lobe and the enhanced function of limbic system were distributed extensively in depressed patients during recognizing dynamically positive expression. These abnormalities may prompt the dynamic characteristics of the magnetic source imaging about recognizing dynamically positive expression,and further reveals the mechanisms of emotional symptoms in depression.

Objective To examine the white matter micro structural changes of hippocampus in the mid-die-aged major depression, and hypothesis that the hippocampal neurogenesis during the effective antidepressants can be found by diffusion tensor imaging(DTI) technology. Methods Middle-aged patients with major depression were enrolled, twenty patients received open but controlled with SSRIs for 10 weeks,twenty age, gender, education-matched healthy controls were involved as control group. All the subjects were scanned by DTI,using both whole-brain,voxel-based analysis(VBA) and Regions of interests (ROIs) methods to analyze the data. Results The VBA analysis found the post treatment patients made significant improvement in the fight inferior frontal lobe, left cingulate gyms of iimbic lobe and the right sub-gyral of occipital,but no significant difference in the hippocampus were found between any groups (all P<0.01, cluster>20). For the hippocampal relative FA of ROIs analysis,there were no significant difference between the patients before and after treatment, even no difference between the prior-treatment patients and healthy control,the remitted patients and the healthy controls(P<0.05). Conclusions Micro structural white matter changes in the frontal gyms, temporal and cingulated gyms are associated with mid-die-aged depression,no changes were found in the hippocampus. These findings do not support the hypothesis that the hippocampal neurogenesis can be found by DTI technology.