通过静息状态网络之间的高度隔离,可以预测疼痛感知中的自上而下威胁偏见

IF 3.6 3区 医学 Q2 NEUROSCIENCES
Network Neuroscience Pub Date : 2023-12-22 eCollection Date: 2023-01-01 DOI:10.1162/netn_a_00328
Veronika Pak, Javeria Ali Hashmi
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引用次数: 0

摘要

自上而下的过程,如期望,对疼痛感知有很强的影响。预测即将到来的疼痛威胁对感知疼痛的影响甚至比有害事件的实际强度更大。这种类型的疼痛感知中的威胁偏见与对疼痛的恐惧和较低的疼痛耐受性有关,因此偏见的程度因人而异。脑功能连接的大规模模式对于整合预期与感觉数据是重要的。因此,我们在健康个体中研究了系统隔离与自上而下威胁偏见之间的关系。我们表明,自上而下的威胁偏差是通过静息状态网络之间较少的功能连接来预测的。这种效应在广泛的网络阈值范围内是显著的,特别是在静息状态网络的预定义分组中。大脑网络中更大的系统隔离也预示着更高的焦虑和疼痛灾难化。这些发现强调了大脑网络整合在疼痛感知中介导威胁偏见的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Top-down threat bias in pain perception is predicted by higher segregation between resting-state networks.

Top-down processes such as expectations have a strong influence on pain perception. Predicted threat of impending pain can affect perceived pain even more than the actual intensity of a noxious event. This type of threat bias in pain perception is associated with fear of pain and low pain tolerance, and hence the extent of bias varies between individuals. Large-scale patterns of functional brain connectivity are important for integrating expectations with sensory data. Greater integration is necessary for sensory integration; therefore, here we investigate the association between system segregation and top-down threat bias in healthy individuals. We show that top-down threat bias is predicted by less functional connectivity between resting-state networks. This effect was significant at a wide range of network thresholds and specifically in predefined parcellations of resting-state networks. Greater system segregation in brain networks also predicted higher anxiety and pain catastrophizing. These findings highlight the role of integration in brain networks in mediating threat bias in pain perception.

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来源期刊
Network Neuroscience
Network Neuroscience NEUROSCIENCES-
CiteScore
6.40
自引率
6.40%
发文量
68
审稿时长
16 weeks
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