The Autonomic Brain: An Activation Likelihood Estimation Meta-Analysis for Central Processing of Autonomic Function
The Autonomic Brain: An Activation Likelihood Estimation Meta-Analysis for Central Processing of Autonomic Function
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DOI：
10.1523/jneurosci.1103-13.2013
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发表时间：
2013-06-19
影响因子：
5.3
通讯作者：
Napadow, Vitaly
中科院分区：
文献类型：
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作者：
Beissner, Florian;Meissner, Karin;Napadow, Vitaly
自主神经系统在日常生活中起着至关重要的作用。它对呼吸、心血管、消化、内分泌和许多其他系统的调节作用由中枢神经系统的许多结构控制。虽然这些核团和皮质中的大多数已经在动物模型中被识别出来，但神经成像研究最近开始揭示人类的中枢自主神经处理。在这项研究中，我们使用激活似然估计对评估中枢自主神经处理的人类神经成像实验进行了荟萃分析，以定位(1)参与自主神经处理的皮质和皮质下区域，(2)ANS的交感和副交感神经分支的潜在子系统，以及(3)特定ANS对不同刺激/任务的反应的潜在子系统。在所有任务中，我们确定了一组持续激活的大脑区域，包括左杏仁核、右前和左后脑岛以及形成中央自主神经网络核心的中扣带皮质。交感相关区域在执行和显著加工网络中占主导地位，而副交感区域在默认模式网络中占主导地位。因此，自主神经功能的中央处理并不是简单地涉及大脑区域的单一网络，而是表现出任务和划分的专一性元素。
The autonomic nervous system (ANS) is of paramount importance for daily life. Its regulatory action on respiratory, cardiovascular, digestive, endocrine, and many other systems is controlled by a number of structures in the CNS. While the majority of these nuclei and cortices have been identified in animal models, neuroimaging studies have recently begun to shed light on central autonomic processing in humans. In this study, we used activation likelihood estimation to conduct a meta-analysis of human neuroimaging experiments evaluating central autonomic processing to localize (1) cortical and subcortical areas involved in autonomic processing, (2) potential subsystems for the sympathetic and parasympathetic divisions of the ANS, and (3) potential subsystems for specific ANS responses to different stimuli/tasks. Across all tasks, we identified a set of consistently activated brain regions, comprising left amygdala, right anterior and left posterior insula and midcingulate cortices that form the core of the central autonomic network. While sympathetic-associated regions predominate in executive-and salience-processing networks, parasympathetic regions predominate in the default mode network. Hence, central processing of autonomic function does not simply involve a monolithic network of brain regions, instead showing elements of task and division specificity.