| 基于动态脑功能连接分析的神经精神疾病研究进展 |
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| 引用本文： | 肖慧思,李嘉慧,潘智林,周静,熊冬生,陈军,吴凯.基于动态脑功能连接分析的神经精神疾病研究进展[J].医疗卫生装备,2020(3):92-97,108. |
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| 作者姓名： | 肖慧思 李嘉慧 潘智林 周静 熊冬生 陈军 吴凯 |
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| 作者单位： | 华南理工大学材料科学与工程学院生物医学工程系;华南理工大学国家人体组织功能重建工程技术研究中心;华南理工大学广东省生物医学工程重点实验室;广东省精神疾病转化医学工程技术研究中心;国家医疗保健器具工程技术研究中心;广东省老年痴呆诊断与康复工程技术研究中心;广州医科大学附属脑科医院;日本东北大学加龄医学研究所机能画像医学研究室 |
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| 基金项目： | 国家自然科学基金(31771074,81802230);国家重点研发计划(2019YFC0118802,2019YFC0118804,2019YFC0118805);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(201704020168,201704020113,201807010064,201803010100,201903010032)。 |
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| 摘 要： | 阐释了用不同的神经影像数据构建脑功能连接网络的方法,介绍了滑动时间窗算法、小波变换法、同步似然性算法3种动态功能连接算法,综述了动态脑功能连接分析在各种神经精神疾病尤其是精神分裂症、重度抑郁症和阿尔茨海默病中的研究与应用进展。分析了动态脑功能连接研究存在的问题与局限性,指出了结合可靠性检验、机器学习等方法将大大开拓其对神经精神疾病的研究。
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| 关 键 词： | 神经影像数据 脑功能网络 动态脑功能连接 神经精神疾病 |
Advances in neuropsychiatric disorders study based on dynamic brain functional connectivity analysis |
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| XIAO Hui-si,LI Jia-hui,PAN Zhi-lin,ZHOU Jing,XIONG Dong-sheng,CHEN Jun,WU Kai.Advances in neuropsychiatric disorders study based on dynamic brain functional connectivity analysis[J].Chinese Medical Equipment Journal,2020(3):92-97,108. |
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| Authors: | XIAO Hui-si LI Jia-hui PAN Zhi-lin ZHOU Jing XIONG Dong-sheng CHEN Jun WU Kai |
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| Institution: | (Department of Biomedical Engineering,School of Materials Science and Engineering,South China University of Technology,Guangzhou 510006,China;National Engineering Research Center for Tissue Restoration&Reconstruction,South China University of Technology,Guangzhou 510006,China;Guangdong Key Laboratory of Biomedical Sciences and Engineering Research Center,South China University of Technology,Guangzhou 510006,China;Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders,Guangzhou 510370,China;National Engineering Research Center for Healthcare Devices,Guangzhou 510500,China;Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia,Guangzhou 510500,China;The Affiliated Brain Hospital of Guangzhou Medical University(Guangzhou Huiai Hospital),Guangzhou 510370,China;Department of Nuclear Medicine and Radiology,Institute of Development,Aging and Cancer,Tohoku University,Sendai 980-8575,Japan) |
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| Abstract: | The methods of constructing brain functional network were expounded with different neuroimaging data.Three algorithms of dynamic brain functional connectivity were introduced including sliding time window algorithm,wavelet transform algorithm and synchronous likelihood algorithm.The research and application progress of dynamic brain functional connectivity analysis in various neuropsychiatric diseases were reviewed,especially schizophrenia,severe depression and Alzheimer's disease.The problems and limitations in the study of dynamic brain functional connectivity were analyzed,and it's pointed out that the combination of reliability test,machine learning and other methods would greatly expand its research on neuropsychiatric diseases. |
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| Keywords: | neuroimaging data brain functional network dynamic brain functional connectivity neuropsychiatric disorder |
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