首发未治疗精神分裂症神经网络演变规律的磁共振研究

The neural network abnormalities have been proved to be one of the core deficits in schizophrenia. However, different abnormal neural network were observed in different illness course by domestic and foreign studies as well as applicant's previous work（AJP 2009，AGP 2010）. Moreover, those changes can be observed by the structural and functional MR. The previous work implied that the defictit of neural network was dynamicly evolved. However, it remains uncleaer that how does the aberrant neural network develop in schizophrenia,which has become one of the key problems in psychiatric research field. Based on the findings of previous studies which were supported by the applicant's Youth Fund of the National Natural Science Foundation of China, the applicant set out to explore the alteration of neural network in first-episode drug-na?ve schizophrenia before and after treatment and reveal the evolution mechanism by combing the cross-sectional and longitudinal designs and integrating the structural and functional MR.? The solution to the problem would improve the understanding of the pathophysiologic mechanism relating to the onset and prognosis of schizophrenia,as well as the mechansim of antipsychotic medication from the perspective of neural network. And finally, it is hoped to provide objective medical imaging indictor for diagnosis, quantitative evaluation and treatment choices of schizophrenia.

近期研究已发现神经网络异常是精神分裂症的核心缺陷之一。然而，国内外研究和申请人的前期工作（AJP 2009，AGP 2010）发现精神分裂症在不同的病程阶段都存在不同神经网络功能的异常改变, 而且这些改变能够被结构及功能磁共振技术所反应。前期工作提示我们精神分裂症神经网络缺陷存在动态演变。然而，精神分裂症患者的神经网络异常是如何演变？这成为精神疾病研究领域中亟待解决的问题之一。基于申请人前一个青年基金的研究结果，本人拟采用横断面和纵向研究设计，整合结构及功能磁共振技术及信息探索首发未用药精神分裂症患者在未治疗情况下及治疗后神经网络异常的不同改变，揭示其演变规律。该问题的解决，将有助于从神经网络角度提供精神分裂症发病及转归的相关病理生理机制的基础信息，解开抗精神分裂症药物的作用机制，希望最终通过相对客观的影像学指标为精神分裂症的疾病诊断，量化评估，药物治疗选择等提供客观依据。

申请人基于国内现有的影像学研究平台，创新性地结合结构与功能磁共振技术，推动了“多模磁共振技术”的发展。并探索精神分裂症等造成严重社会负担的疾病在亚临.床阶段、临床初期及药物治疗后三个疾病发生发展重要阶段的病理机制及生物学标志，在近期连续获得了一系列新发现并提出了一些新观点。研究成果在精神病学领域和放射学领域顶级杂志JAMA Psychiatry和Radiology上共发表SCI论文15篇，3篇IF>10。成果先后获得国家自然科学奖二等奖（排名第四）和四川省科技进步奖一等奖（自然科学类，排名第三），同时，申请人先后被授予长江学者奖励计划（青年学者）和中组部“万人计划”青年拔尖人才称号。基于上述成果，申请人于2016年受邀为临床精神病领域和放射学领域排名第一的杂志（Am J Psychiatry（共同通讯作者）, Radiology（第一作者））撰写相关综述。