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解码健康个体的沉思性反思:三重网络连通性的作用。

Decoding ruminative reflection in healthy individuals: The role of triple network connectivity.

作者信息

Wei Luqing, Dong Hui, Zhang Zijing, Baeken Chris, Wang Yige, Wu Guo-Rong

机构信息

Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China.

School of Psychology, Jiangxi Normal University, Nanchang, China.

出版信息

Int J Clin Health Psychol. 2024 Oct-Dec;24(4):100508. doi: 10.1016/j.ijchp.2024.100508. Epub 2024 Oct 10.

DOI:10.1016/j.ijchp.2024.100508
PMID:39823095
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11735996/
Abstract

Ruminative reflection has been linked to enhanced executive control in processing internally represented emotional information, suggesting it may serve as an adaptive strategy for emotion regulation. Investigating the neural substrates of reflection can deepen our understanding of its adaptive properties. This study used network-based statistic (NBS)-Predict methodology to identify resting state functional connectivity (FC)-based predictors of ruminative reflection in a healthy sample. Our results showed that reflection in healthy subjects was predicted by FC within and between the default mode network (DMN), fronto-parietal network (FPN), and salience network (SN). Notably, FC within the FPN and SN, as well as between the FPN and DMN, contributed more significantly to the predictive model. These results underscore the greater influence of FPN and SN connectivity in predicting reflection, providing empirical evidence that increased executive control over internal emotional representations is integral to adaptive reflective processes. Moreover, the triple-network model, particularly the FPN-DMN coupling, emerges as a crucial predictor of ruminative reflection, highlighting the importance of coordinating self-relevant and goal-directed processing in reflective mechanisms. These identified connectivity fingerprints may offer insights into the role of reflective processes in facilitating recovery from depression.

摘要

反复思考与在处理内在表征的情绪信息时增强执行控制有关,这表明它可能是一种情绪调节的适应性策略。研究反思的神经基础可以加深我们对其适应性特性的理解。本研究使用基于网络的统计(NBS)-预测方法,在一个健康样本中识别基于静息态功能连接(FC)的反复思考的预测指标。我们的结果表明,健康受试者的反思由默认模式网络(DMN)、额顶叶网络(FPN)和突显网络(SN)内部及之间的FC预测。值得注意的是,FPN和SN内部以及FPN和DMN之间的FC对预测模型的贡献更为显著。这些结果强调了FPN和SN连接性在预测反思方面的更大影响,提供了实证证据,即增强对内部情绪表征的执行控制是适应性反思过程不可或缺的一部分。此外,三网络模型,特别是FPN-DMN耦合,成为反复思考的关键预测指标,突出了在反思机制中协调自我相关和目标导向加工的重要性。这些确定的连接指纹可能为反思过程在促进从抑郁症中恢复的作用提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1364/11735996/e3f46b5eebbd/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1364/11735996/9de28f95b0ff/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1364/11735996/e3f46b5eebbd/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1364/11735996/9de28f95b0ff/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1364/11735996/e3f46b5eebbd/gr2.jpg

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本文引用的文献

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Ruminative reflection is associated with anticorrelations between the orbitofrontal cortex and the default mode network in depression: implications for repetitive transcranial magnetic stimulation.沉思性反思与抑郁症患者眶额皮质和默认模式网络之间的反相关性有关:对重复经颅磁刺激的启示。
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