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作 者:谢坤男 尹涛[1,2] 马培宏 陈丽 孙睿睿 曾芳[1,2] XIE Kun-nan;YIN Tao;MA Pei-hong;CHEN Li;SUN Rui-rui;ZENG Fang(Acupuncture and Tuina School,Chengdu University of Traditional Chinese Medicine,Chengdu 610075,China;Acupuncture-Brain Science Research Center,Chengdu University of Traditional Chinese Medicine,Chengdu 610075,China)
机构地区:[1]成都中医药大学针灸推拿学院,成都610075 [2]成都中医药大学针灸脑科学研究中心,成都610075
出 处:《针刺研究》2021年第6期510-514,共5页Acupuncture Research
基 金:国家自然科学基金项目(No.81622052、81973960);四川省科技计划项目(No.2020JDRC0105);四川省科技厅项目(No.2019JDTD0011)。
摘 要:基于脑连接组学的网络分析是探讨大脑工作机制的重要切入点,也是目前针刺神经影像学研究的趋势所在。本文在综述针刺脑网络调节效应常用方法的基础上,结合领域当前研究现状和团队前期研究,提炼出针刺脑网络调节效应的靶向性、条件性和动态性特征,并从扫描方式和网络分析方法、试验研究范式方面对未来研究提出展望。The network analysis method based on brain connectomics is an important entry point to explore the working mechanism of brain and is also the current trend of researches on acupuncture stimulation-induced changes of neuroimages.We,in the present review,summarized the common network analysis methods for exploring the underlying mechanisms of brain network-mediated regulatory effects of acupuncture interventions.Moreover,combining the current research development and our team’s previous research findings,we extracted the characteristics of targeting,conditionity and dynamic of regulatory effects of acupuncture-activated brain network,and put forward our prospects about the future research from the aspects of new scanning modes(for instance,multimodal data acquisition of magnetic resonance,electroencephalogram,near infrared spectrum,etc.),network analysis(such as Granger causality analysis,complex network measures,whole-brain connectivity dynamics tracking,high-order resting-state functional connectivity analysis,etc.)and experimental research paradigms(for example,introduce of transcranial magnetic stimulation induced transient changes of brain functional activity,machine learning approach,etc.).
分 类 号:R245-3[医药卫生—针灸推拿学]
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