基于动态因果模型的运动执行和运动想象脑网络研究

Study of Brain Networks During Motor Execution and Imagery Using Dynamic Causal Model

利用动态因果模型,分析右手运动执行和想象过程中功能磁共振实验数据对侧初级运动皮层(M1)和双侧辅助运动区(SMA)的动态功能网络,发现了左侧SMA在右手运动执行和运动想象过程中的主导作用,以及运动想象过程中左侧SMA对左侧M1的抑制作用;进一步分析了运动执行和想象过程的动态功能网络的差异,发现了实验刺激模式在两种不同的动态网络中对激活脑区的激活和抑制作用的转化,揭示了运动执行和想象动态功能网络转换的神经机制。

Using the dynamic causal model（DCM）,the functional magnetic resonance imaging（fMRI） data of right-hand motor execution（ME） and motor imagery（MI） are analyzed to detect the dynamic networks between contralateral primary motor cortex（M1） and bilateral supplementary motor area（SMA） in the present study.The results show the dominant function of left SMA during both ME and MI,and the suppressive influence of left SMA on left M1 during MI.Furthermore,the difference of the dynamic networks during ME and MI is analyzed and the results suggest the alteration of the influence of the stimulus on the activated regions during ME and MI,implying the transformation of the neural mechanism in dynamic networks of ME and MI.