UNASSIGNED: Using the resting-state fMRI data of 63 healthy young individuals, we estimated the causality effects of each resting-state activation map on all other networks. The resting-state networks were identified, their causality effects on the other components were extracted, the networks with the top 20% of the causality were chosen, and the networks which were under the influence of those causal networks were also identified.
UNASSIGNED: Our results showed that the influence of each activation component over other components is different. The brain areas which showed the highest causality coefficients were subcortical regions, such as the brain stem, thalamus, and amygdala. On the other hand, nearly all the areas which were mostly under the causal effects were cortical regions.
UNASSIGNED: In summary, our results suggest that subcortical brain areas exert a higher influence on cortical regions during the resting state, which could help in a better understanding the dynamic nature of brain functions.
■使用63名健康年轻人的静息状态fMRI数据,我们估计了每个静息态激活图对所有其他网络的因果关系。确定了静息状态网络,提取了它们对其他成分的因果关系,选择了因果关系最高20%的网络,并确定了受这些因果网络影响的网络。
■我们的结果表明,每种活化成分对其他成分的影响是不同的。因果关系系数最高的大脑区域是皮质下区域,比如脑干,丘脑,和杏仁核.另一方面,几乎所有主要受到因果影响的区域都是皮质区域。
■总之,我们的结果表明,在静息状态下,皮质下脑区域对皮质区域产生更大的影响,这有助于更好地理解大脑功能的动态本质。