[1]李嘉慧,刘建鹏,潘智林,等.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[J].中国医学物理学杂志,2020,37(1):115-121.[doi:DOI:10.3969/j.issn.1005-202X.2020.01.021]
 LI Jiahui,LIU Jianpeng,et al.Neurobiological bases and electrophysiological manifestations of cognitive impairments in patients with schizophrenia[J].Chinese Journal of Medical Physics,2020,37(1):115-121.[doi:DOI:10.3969/j.issn.1005-202X.2020.01.021]
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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()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第1期
页码:
115-121
栏目:
医学生物物理
出版日期:
2020-01-25

文章信息/Info

Title:
Neurobiological bases and electrophysiological manifestations of cognitive impairments in patients with schizophrenia
文章编号:
1005-202X(2020)01-0115-07
作者:
李嘉慧12刘建鹏3潘智林12熊冬生1吴逢春24陈军56吴凯1256
1.华南理工大学材料科学与工程学院生物医学工程系, 广东 广州 510006; 2.广东省精神疾病转化医学工程技术研究中心, 广东 广州 510370; 3.广州南洋理工职业学院, 广东 广州 510900; 4.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 广州 510370;5. 广东省老年痴呆诊断与康复工程技术研究中心, 广东 广州 510500; 6.国家医疗保健器具工程技术研究中心, 广东 广州 510500
Author(s):
LI Jiahui1 2 LIU Jianpeng3 PAN Zhilin1 2 XIONG Dongsheng1 WU Fengchun2 4 CHEN Jun5 6 WU Kai1 2 5 6
1. Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou 510006, China; 2. Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou 510370, China; 3. Guangzhou Nanyang Polytechnic College, Guangzhou 510900, China; 4. Department of Clinical Psychology, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou 510370, China; 5. Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou 510500, China; 6. National Engineering Research Center for Healthcare Devices, Guangzhou 510500, China
关键词:
精神分裂症认知功能损伤神经递质脑电图综述
Keywords:
Keywords: schizophrenia cognitive impairment neurotransmitter electroencephalogram review
分类号:
R35;R749.3
DOI:
DOI:10.3969/j.issn.1005-202X.2020.01.021
文献标志码:
A
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:
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.

相似文献/References:

[1]杨勇哲,黄飚,冀泓锞,等.精神分裂症的磁共振影像学研究进展[J].中国医学物理学杂志,2016,33(8):848.[doi:10.3969/j.issn.1005-202X.2016.08.019]
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[2]张越,杨勇哲,吴逢春,等.基于多模态磁共振影像的精神分裂症患者多特征分类研究[J].中国医学物理学杂志,2017,34(1):99.[doi:10.3969/j.issn.1005-202X.2017.01.020]
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 LI Gang,HAN Depeng,LIU Qiangwei,et al.Classification of schizophrenia based on deep canonically correlated sparse autoencoder[J].Chinese Journal of Medical Physics,2020,37(1):391.[doi:DOI:10.3969/j.issn.1005-202X.2020.03.025]
[5]谢忠翔,武杰,项华中.基于稀疏表示变量选择方法的影像遗传学数据分析[J].中国医学物理学杂志,2020,37(5):584.[doi:10.3969/j.issn.1005-202X.2020.05.010]
 XIE Zhongxiang,WU Jie,XIANG Huazhong.Sparse representation-based variable selection algorithm for analysis of imaging genetics data[J].Chinese Journal of Medical Physics,2020,37(1):584.[doi:10.3969/j.issn.1005-202X.2020.05.010]

备注/Memo

备注/Memo:
【收稿日期】2019-09-15 【基金项目】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) 【作者简介】李嘉慧,硕士,研究方向:医学信号处理,E-mail: msivy@mail.scut.edu.cn 【通信作者】吴凯,博士,副教授,研究方向:神经影像、医学人工智能,E-mail: kaiwu@scut.edu.cn
更新日期/Last Update: 2020-01-14