Brain connectivity estimation is a useful method to study brain functions and diagnose neuroscience disorders. Effective connectivity is a subdivision of brain connectivity which discusses the causal relationship between different parts of the brain. In this study, a dual Kalman-based method is used for effective connectivity estimation. Because of connectivity changes in autism, the method is applied to autistic signals for effective connectivity estimation. For method validation, the dual Kalman based method is compared with other connectivity estimation methods by estimation error and the dual Kalman-based method gives acceptable results with less estimation errors. Then, connectivities between active brain regions of autistic and normal children in the resting state are estimated and compared. In this simulation, the brain is divided into eight regions and the connectivity between regions and within them is calculated. It can be concluded from the results that in the resting state condition the effective connectivity of active regions is decreased between regions and is increased within each region in autistic children. In another result, by averaging the connectivity between the extracted active sources of each region, the connectivity between the left and right of the central part is more than that in other regions and the connectivity in the occipital part is less than that in others.

中文翻译：

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使用基于双卡尔曼方法的自闭症活动大脑区域之间的有效大脑连接估计

大脑连通性估计是研究大脑功能和诊断神经科学疾病的有用方法。有效连接是大脑连接的一个细分，它讨论了大脑不同部分之间的因果关系。在这项研究中，基于双卡尔曼的方法用于有效的连通性估计。由于自闭症的连通性变化，该方法应用于自闭症信号以进行有效的连通性估计。对于方法验证，基于双卡尔曼的方法与其他连通性估计方法的估计误差进行了比较，基于双卡尔曼的方法给出了可接受的结果，估计误差较小。然后，估计和比较处于静息状态的自闭症儿童和正常儿童的活跃大脑区域之间的连接性。在这个模拟中，大脑分为八个区域，计算区域之间和区域内的连接性。从结果可以得出结论，在静息状态下，自闭症儿童活动区域的有效连通性在区域之间减少，而在每个区域内增加。另一个结果是，通过对每个区域提取的活动源之间的连接进行平均，中央部分左右的连接性大于其他区域，而枕部的连接性小于其他区域。从结果可以得出结论，在静息状态下，自闭症儿童活动区域的有效连通性在区域之间减少，而在每个区域内增加。另一个结果是，通过对每个区域提取的活动源之间的连接进行平均，中央部分左右的连接性大于其他区域，而枕部的连接性小于其他区域。从结果可以得出结论，在静息状态下，自闭症儿童活动区域的有效连通性在区域之间减少，而在每个区域内增加。另一个结果是，通过对每个区域提取的活动源之间的连接进行平均，中央部分左右的连接性大于其他区域，而枕部的连接性小于其他区域。