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Schizophrenia is a severe and complex psychiatric disorder that needs treatment based on extensive experience. Antipsychotic drugs have already become the cornerstone of the treatment for schizophrenia; however, the therapeutic effect is of significant variability among patients, and only around a third of patients with schizophrenia show good efficacy. Meanwhile, drug-induced metabolic syndrome and other side-effects significantly affect treatment adherence and prognosis. Therefore, strategies for drug selection are desperately needed. In this study, we will perform pharmacogenomics research and set up an individualised preferred treatment prediction model.
We aim to create a standard clinical cohort, with multidimensional index assessment of antipsychotic treatment for patients with schizophrenia.
This trial is designed as a randomised clinical trial comparing treatment with different kinds of antipsychotics. A total sample of 2000 patients with schizophrenia will be recruited from in-patient units from five clinical research centres. Using a computer-generated program, the participants will be randomly assigned to four treatment groups: aripiprazole, olanzapine, quetiapine and risperidone. The primary outcomes will be measured as changes in the Positive and Negative Syndrome Scale of schizophrenia, which reflects the efficacy. Secondary outcomes include the measure of side-effects, such as metabolic syndromes. The efficacy evaluation and side-effects assessment will be performed at baseline, 2 weeks, 6 weeks and 3 months.
This trial will assess the efficacy and side effects of antipsychotics and create a standard clinical cohort with a multi-dimensional index assessment of antipsychotic treatment for schizophrenia patients.
This study aims to set up an individualized preferred treatment prediction model through the genetic analysis of patients using different kinds of antipsychotics.
Objective: Functional imaging studies of post-traumatic stress disorder (PTSD) have shown an increased activation of posterior cingulate gyrus (PCG) of the brain. The aim of this study was to explore white matter integrity of PCG in PTSD subjects.
Methods: White matter integrity, as determined from fractional anisotropy (FA) value using diffusion tensor imaging, was assessed for PCG in subjects with and without PTSD from a severe mine accident. All subjects were also measured by the PTSD Checklist Civilian Version (PCL-C), the State-Trait Anxiety Inventory (STAI), the logical memory subtest and the visual reproduction subtest of the Wechsler Memory Scale-Revised in China. Sixteen PTSD subjects (8 subjects in each group) in the longitudinal study and 13 PTSD subjects as well as 14 non-PTSD controls in the cross-sectional case–control study were respectively recruited.
Results: In the longitudinal study, subjects with PTSD showed increased FA values in left PCG during the follow-up scan. In the cross-sectional study, FA values in bilateral PCG in PTSD subjects were higher than controls. Within the PTSD group (n = 13), FA values in the left PCG correlated positively with logical memory and negatively with PCL-C intrusion and STAI-trait (STAI-t) subscores. FA values in right PCG correlated negatively with STAI-t and STAI-state subscores.
Conclusion: These findings suggest that alterations of white matter integrity in PCG link to mnemonic and affective processing in PTSD over the long-term follow-up period.
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