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急性应激诱导的显着性网络耦合变化前瞻性地预测创伤后症状的发展。

Acute-stress-induced change in salience network coupling prospectively predicts post-trauma symptom development.

机构信息

Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.

Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.

出版信息

Transl Psychiatry. 2022 Feb 16;12(1):63. doi: 10.1038/s41398-022-01798-0.

Abstract

Substantial individual differences exist in how acute stress affects large-scale neurocognitive networks, including salience (SN), default mode (DMN), and central executive networks (CEN). Changes in the connectivity strength of these networks upon acute stress may predict vulnerability to long-term stress effects, which can only be tested in prospective longitudinal studies. Using such longitudinal design, we investigated whether the magnitude of acute-stress-induced functional connectivity changes (delta-FC) predicts the development of post-traumatic stress-disorder (PTSD) symptoms in a relatively resilient group of young police students that are known to be at high risk for trauma exposure. Using resting-state fMRI, we measured acute-stress-induced delta-FC in 190 police recruits before (baseline) and after trauma exposure during repeated emergency-aid services (16-month follow-up). Delta-FC was then linked to the changes in perceived stress levels (PSS) and post-traumatic stress symptoms (PCL and CAPS). Weakened connectivity between the SN and DMN core regions upon acute-stress induction at baseline predicted longitudinal increases in perceived-stress level but not of post-traumatic stress symptoms, whereas increased coupling between the overall SN and anterior cerebellum was observed in participants with higher clinician-rated PTSD symptoms, particularly intrusion levels. All the effects remained significant when controlling for trauma-exposure levels and cortisol-stress reactivity. Neither hormonal nor subjective measures exerted similar predictive or acquired effects. The reconfiguration of large-scale neural networks upon acute-stress induction is relevant for assessing and detecting risk and resilience factors for PTSD. This study highlights the SN connectivity-changes as a potential marker for trauma-related symptom development, which is sensitive even in a relatively resilient sample.

摘要

个体在急性应激对包括突显网络(SN)、默认模式网络(DMN)和中央执行网络(CEN)在内的大规模神经认知网络的影响方面存在显著差异。这些网络在急性应激下连接强度的变化可能预测对长期应激效应的易感性,但只能在前瞻性纵向研究中进行测试。使用这种纵向设计,我们研究了在一个相对有弹性的年轻警察学生群体中,急性应激诱导的功能连接变化(Δ-FC)的幅度是否可以预测创伤后应激障碍(PTSD)症状的发展,这些学生已知暴露于创伤的风险较高。使用静息态 fMRI,我们在 190 名警察新兵经历重复紧急援助服务期间的创伤暴露之前(基线)和之后测量了急性应激诱导的Δ-FC(16 个月的随访)。然后,将Δ-FC 与感知压力水平(PSS)和创伤后应激症状(PCL 和 CAPS)的变化联系起来。基线时急性应激诱导时 SN 和 DMN 核心区域之间连接的减弱预示着纵向感知压力水平的增加,但不能预测创伤后应激症状的增加,而在 PTSD 症状较高的参与者中观察到整个 SN 和前脑回之间的耦合增加,特别是侵入水平。在控制创伤暴露水平和皮质醇应激反应后,所有效应仍然显著。激素和主观测量均未产生类似的预测或习得效应。急性应激诱导时大规模神经网络的重新配置与 PTSD 的风险和弹性因素的评估和检测有关。这项研究强调了急性应激诱导时 SN 连接变化作为与创伤相关症状发展的潜在标志物的重要性,即使在相对有弹性的样本中也很敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3718/8850556/b0e665218d38/41398_2022_1798_Fig1_HTML.jpg

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