Broadening the scope: Multiple functional connectivity networks underlying threat conditioning and extinction

C. A. Cushing, Yujia Peng, Zachary Anderson, Katherine S. Young, Susan Y. Bookheimer, R. Zinbarg, Robin Nusslock, M. Craske
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Abstract

Abstract Threat learning processes are thought to be foundational to anxiety and fear-related disorders. However, the study of these processes in the human brain has largely focused on specific brain regions, owing partly to the ease of translating between these regions in human and nonhuman animals. Moving beyond analyzing focal regions of interest to whole-brain dynamics and connectivity during threat learning is essential for understanding the neuropathology of fear-related disorders in humans. In this study, 223 participants completed a 2-day Pavlovian threat conditioning paradigm while undergoing fMRI. Participants completed threat acquisition and extinction. Extinction recall was assessed 48 hours later. Using a data-driven group independent component analysis (ICA), we examined large-scale functional connectivity networks during each phase of threat learning. Connectivity networks were tested to see how they responded to conditioned stimuli during early and late phases of threat acquisition and extinction as well as during early trials of extinction recall. A network overlapping with the default mode network involving hippocampus, ventromedial prefrontal cortex (vmPFC), and posterior cingulate was implicated in threat acquisition and extinction. Another network overlapping with the salience network involving dorsal anterior cingulate cortex (dACC), mPFC, and inferior frontal gyrus was implicated both in threat acquisition and in extinction recall. Other networks overlapping with parts of the salience, somatomotor, visual, and frontoparietal networks were involved in the acquisition or in the extinction of learned threat responses. These findings help support the functional cooperation of specific brain regions during threat learning in a model-free fashion while introducing new findings of spatially independent functional connectivity networks during threat and safety learning. Rather than being a single process in a core network of regions, threat learning involves multiple brain networks operating in parallel performing different functions at different timescales. Understanding the nature and interplay of these dynamics will be critical for comprehensive understanding of the multiple processes that may be at play in the neuropathology of anxiety and fear-related disorders.
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扩大研究范围:威胁调节和灭绝背后的多重功能连接网络
摘要 威胁学习过程被认为是焦虑和恐惧相关疾病的基础。然而,对人脑中这些过程的研究主要集中在特定的脑区,部分原因是这些脑区在人类和非人类动物之间易于转换。要了解人类恐惧相关障碍的神经病理学,就必须从分析感兴趣的焦点区域转向威胁学习过程中的全脑动态和连通性。在这项研究中,223 名参与者在接受 fMRI 检查的同时完成了为期 2 天的巴甫洛夫威胁条件反射范式。参与者完成了威胁的获得和消退。48 小时后对消退回忆进行评估。利用数据驱动的组独立成分分析(ICA),我们研究了威胁学习各阶段的大规模功能连接网络。我们测试了连接网络在威胁获得和消退的早期和晚期阶段以及在消退回忆的早期试验中对条件刺激的反应。一个与默认模式网络重叠的网络涉及海马、腹外侧前额叶皮层(vmPFC)和后扣带回,与威胁的获得和消退有关联。另一个与显著性网络重叠的网络涉及背侧前扣带回皮层(dACC)、前额叶皮层(mPFC)和额叶下回,与威胁获得和消退回忆都有关联。与部分显著性网络、躯体运动网络、视觉网络和额叶网络重叠的其他网络也参与了学习威胁反应的获得或消退。这些发现有助于以一种无模型的方式支持特定脑区在威胁学习过程中的功能合作,同时引入了威胁和安全学习过程中空间独立功能连接网络的新发现。威胁学习不是一个核心区域网络的单一过程,而是涉及多个并行运作的大脑网络,在不同的时间尺度上执行不同的功能。了解这些动态过程的性质和相互作用对于全面理解焦虑和恐惧相关疾病的神经病理学中可能存在的多种过程至关重要。
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