Using Granger-Geweke causality model to evaluate the effective connectivity of primary motor cortex (M1), supplementary motor area (SMA) and cerebellum.
Using Granger-Geweke causality model to evaluate the effective connectivity of primary motor cortex (M1), supplementary motor area (SMA) and cerebellum.
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DOI：
10.4236/jbise.2010.39115
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发表时间：
2010-09-01
期刊：
影响因子：
--
通讯作者：
Kong J
中科院分区：
文献类型：
--
作者：
Zhang L;Zhong G;Wu Y;Vangel MG;Jiang B;Kong J
目前，Granger-Geweke因果关系模型已被广泛应用于研究脑区之间的动态方向关系。在之前的一项研究中，我们发现右手手指敲击任务可以产生相对可靠的大脑反应。作为我们之前研究的延伸，我们开发了一种基于经典Granger-Geweke因果关系模型的算法，以进一步研究大脑激活最强劲的三个大脑区域（左初级运动皮层（M1），辅助运动区（SMA）和右小脑）的有效连通性。我们的计算结果不仅证实了SMA、M1和右小脑之间存在很强的线性反馈，而且还证明了解剖研究表明M1是这三个区域的枢纽。此外，该模型预测在SMA和M1之间的区域存在较高的中间节点密度，这将刺激成像实验人员进行新的实验来验证这一假设。
Currently, Granger-Geweke causality models have been widely applied to investigate the dynamic direction relationships among brain regions. In a previous study, we have found that the right hand finger-tapping task can produce relatively reliable brain response. As an extension of our previous study, we developed an algorithm based on the classical Granger-Geweke causality model to further investigate the effective connectivity of three brain regions (left primary motor cortex (M1), supplementary motor area (SMA) and right cerebellum) that showed the most robust brain activations. Our computational results not only confirm the strong linear feedback among SMA, M1 and right cerebellum, but also demonstrate that M1 is the hub of these three regions indicated by the anatomy research. Moreover, the model predicts the high intermediate node density existing in the area between SMA and M1, which will stimulate the imaging experimentalists to carry out new experiments to validate this postulation.