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精神分裂症患者认知功能损伤的神经生物学基础和电生理表现

Neurobiological bases and electrophysiological manifestations of cognitive impairments in patients with schizophrenia

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【作者】 李嘉慧刘建鹏潘智林熊冬生吴逢春陈军吴凯

【Author】 LI Jiahui;LIU Jianpeng;PAN Zhilin;XIONG Dongsheng;WU Fengchun;CHEN Jun;WU Kai;Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders;Guangzhou Nanyang Polytechnic College;Department of Clinical Psychology, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital);Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia;National Engineering Research Center for Healthcare Devices;

【通讯作者】 吴凯;

【机构】 华南理工大学材料科学与工程学院生物医学工程系广东省精神疾病转化医学工程技术研究中心广州南洋理工职业学院广州医科大学附属脑科医院(广州市惠爱医院)临床心理科广东省老年痴呆诊断与康复工程技术研究中心国家医疗保健器具工程技术研究中心

【摘要】 精神分裂症患者存在严重的认知功能损伤,认知功能损伤的重要神经生物学基础是患者脑内神经递质水平异常,这会导致患者出现异常神经元电活动,脑电图指标可以客观、定量反映神经递质导致的异常神经元电活动。本文主要对国内外精神分裂症患者认知功能损伤的神经生物学和电生理学等研究情况进行综述,回顾了认知功能损伤相关神经递质的生物学机制,梳理了与之相关的异常神经生物电指标,为精神分裂症的发病原理和辅助诊断提供相应参考。未来的研究应更多关注疾病的致病基因、神经影像学等生物学标记物,建立精神分裂症辅助诊断的指标体系。

【Abstract】 Patients with schizophrenia have severe cognitive impairments. The important neurobiological basis of cognitive impairments is the abnormal level of neurotransmitters in the brain, which will lead to abnormal electrical activity of neurons.Electroencephalograph can be used to reflect the abnormal electrical activities caused by neurotransmitters objectively and quantitatively. Herein the researches on the neurobiology and electrophysiology of cognitive impairments in patients with schizophrenia at home and abroad are reviewed; the biological mechanisms of neurotransmitters related to cognitive impairments are analyzed; and the related abnormal bioelectrical indicators are sorted out, thus providing relevant reference for the pathogenesis study and auxiliary diagnosis of schizophrenia. In the future, more attention should be paid to the pathogenic genes, neuroimaging and other biological markers of the disease, and the establishment of an indicator system for the auxiliary diagnosis of schizophrenia.

【基金】 国家自然科学基金(31771074,81802230);广东省科技计划前沿与关键技术创新专项资金(重大科技专项)(2016B010108003);广东省科技计划公益研究与能力建设专项资金(2016A020216004);广东省协同创新与平台环境建设专项资金(2017A040405059);广东省科技重点领域研发计划项目(2018B030335001);广州市产学研协同创新重大专项(201604020170,201704020168,201704020113,201807010064,201803010100,201903010032)
  • 【文献出处】 中国医学物理学杂志 ,Chinese Journal of Medical Physics , 编辑部邮箱 ,2020年01期
  • 【分类号】R749.3;R741.044
  • 【被引频次】21
  • 【下载频次】473
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