Lifespan anxiety is reflected in human amygdala cortical connectivity.

Lifespan anxiety is reflected in human amygdala cortical connectivity.
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寿命焦虑反映在人类杏仁核皮质连接上

DOI:
10.1002/hbm.23094
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发表时间:
2016-03
影响因子:
4.8
通讯作者:
Zuo, Xi-Nian
Zuo, Xi-Nian
中科院分区:
医学2区
文献类型:
--
作者:
He, Ye;Xu, Ting;Zhang, Wei;Zuo, Xi-Nian

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杏仁核在处理焦虑中起着关键作用,并与大规模的大脑网络相连。然而,杏仁核和这些网络之间的内在功能连接(iFC)很少被研究与焦虑的关系,特别是在整个生命周期。我们采用了280名健康成人(18-83.5岁)的静息态功能MRI数据,以阐明焦虑与杏仁核iFC与常见皮质网络(包括视觉网络、躯体运动网络、背侧注意网络、腹侧注意网络、边缘网络、额顶叶网络和默认网络)之间的关系。将全局和网络特定iFC分别计算为杏仁核与整个大脑皮层和每个皮层网络的平均iFC。杏仁核整体阳性iFC与特质焦虑呈负相关。杏仁核iFC和焦虑之间的网络特异性关联也是可检测的。具体来说,较高的iFC强度之间的左杏仁核和边缘网络预测较低的状态焦虑。在特质焦虑中,左侧杏仁核的焦虑-连接性相关主要分布在躯体运动和背侧注意网络中,而右侧杏仁核的焦虑-连接性相关主要分布在额顶和腹侧注意网络中。个体注意网络在杏仁核的iFC上存在显著的焦虑-性别交互作用。这些数据与其他顶点分析的结果一起清楚地表明,低级感觉网络和高级联想网络都可以通过杏仁核的iFC特征来预测焦虑行为。这组系统神经科学的发现可能会导致人类焦虑的神经相关性的新功能网络模型,并为焦虑症的新治疗策略提供目标。《脑地图》37:1178-1193,2016年。© 2015 The Authors Human Brain Mapping由Wiley Periodicals,Inc.出版。
The amygdala plays a pivotal role in processing anxiety and connects to large‐scale brain networks. However, intrinsic functional connectivity (iFC) between amygdala and these networks has rarely been examined in relation to anxiety, especially across the lifespan. We employed resting‐state functional MRI data from 280 healthy adults (18–83.5 yrs) to elucidate the relationship between anxiety and amygdala iFC with common cortical networks including the visual network, somatomotor network, dorsal attention network, ventral attention network, limbic network, frontoparietal network, and default network. Global and network‐specific iFC were separately computed as mean iFC of amygdala with the entire cerebral cortex and each cortical network. We detected negative correlation between global positive amygdala iFC and trait anxiety. Network‐specific associations between amygdala iFC and anxiety were also detectable. Specifically, the higher iFC strength between the left amygdala and the limbic network predicted lower state anxiety. For the trait anxiety, left amygdala anxiety–connectivity correlation was observed in both somatomotor and dorsal attention networks, whereas the right amygdala anxiety–connectivity correlation was primarily distributed in the frontoparietal and ventral attention networks. Ventral attention network exhibited significant anxiety–gender interactions on its iFC with amygdala. Together with findings from additional vertex‐wise analysis, these data clearly indicated that both low‐level sensory networks and high‐level associative networks could contribute to detectable predictions of anxiety behaviors by their iFC profiles with the amygdala. This set of systems neuroscience findings could lead to novel functional network models on neural correlates of human anxiety and provide targets for novel treatment strategies on anxiety disorders. Hum Brain Mapp 37:1178–1193, 2016. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
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