Abstract：
The autonomic nervous system regulates dynamic body adaptations to internal and external environment changes. Capitalizing on two different algorithms (that differ in empirical assumptions), we scrutinized the meta-analytic convergence of human neuroimaging studies investigating the neural basis of peripheral autonomic signal processing. Among the selected studies, we identified 42 records reporting 44 different experiments and testing 758 healthy individuals. The results of the two different algorithms converge in identifying the bilateral dorsal anterior insula and midcingulate cortex as the critical areas of the central autonomic system (CAN). Applying an unbiased approach, we were able to identify a single condition-independent functional circuit that supports CAN activity. Partially overlapping with the salience network this functional circuit includes the bilateral insular cortex and midcingulate cortex as well as the bilateral inferior parietal lobules. Remarkably, the critical regions of the CAN observed in this meta-analysis overlapped with the salience network as well as regions commonly reported across different cognitive and affective neuroimaging paradigms and regions being dysregulated across different mental and neurological disorders.
摘要：
自主神经系统调节身体对内部和外部环境变化的动态适应。利用两种不同的算法(经验假设不同)，我们仔细检查了人类神经影像学研究的荟萃分析趋同性，该研究调查了外周自主神经信号处理的神经基础。在选定的研究中，我们确定了42条记录,报告了44项不同的实验和758名健康个体.两种不同算法的结果在将双侧背侧前岛和中扣带皮层识别为中枢自主神经系统（CAN）的关键区域时趋同。运用公正的方法，我们能够识别支持CAN活动的单个条件无关的功能电路。该功能回路与显着性网络部分重叠，包括双侧岛叶皮层和中扣带皮层以及双侧下顶叶小叶。值得注意的是,本荟萃分析中观察到的CAN关键区域与显著性网络重叠,以及在不同认知和情感神经影像学范式中通常报告的区域,以及在不同精神和神经系统疾病中失调的区域.
