沉思时，默认模式网络中的低稳定性和动态功能架构的额顶控制网络中的高稳定性。
Hypostability in the default mode network and hyperstability in the frontoparietal control network of dynamic functional architecture during rumination.
机构信息
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
出版信息
Neuroimage. 2021 Nov 1;241:118427. doi: 10.1016/j.neuroimage.2021.118427. Epub 2021 Jul 24.
The neural underpinnings of rumination can be characterized by its specific dynamic nature. Temporal stability is the stable and consistent representation of information by a distributed neural activity and connectivity pattern across brain regions. Although stability is a key feature of the brain's functional architecture, its profiles supporting rumination remain elusive. We characterized the stability of the whole-brain functional architecture during an induced, continuous rumination state and compared it with a well-constrained distraction state as the control condition in a group of healthy participants (N = 40). We further examined the relationship between stability in regions showing a significant effect on the rumination vs. distraction contrast and rumination traits. The variability of dynamic functional connectivities (FCs) among these regions was also explored to determine the potential coupling regions that drove the altered stability pattern during rumination. The results showed that rumination was characterized by a similar but altered stability profile compared with distraction and resting states. Comparison between rumination and distraction revealed that key regions of the default mode network (DMN), such as the medial prefrontal cortex (MPFC) and bilateral parahippocampal gyrus (PHG), which showed decreased stability while frontoparietal control network (FPCN) regions, including the inferior parietal lobule (IPL) and dorsal lateral prefrontal cortex (DLPFC), showed significantly enhanced stability in rumination compared with distraction. Additionally, stability in the MPFC and IPL was related to individual differences in rumination traits. Exploratory analysis of the variation in dynamic FCs suggested that higher stability in the IPL may be related to its less variable FCs with the PHG. Together, these findings implicated that rumination may be supported by the dissociated dynamic nature of hypostability in the DMN and hyperstability in the FPCN.
反刍的神经基础可以其特定的动态特性来描述。时间稳定性是指通过大脑区域之间分布式神经活动和连接模式来稳定且一致地表示信息。尽管稳定性是大脑功能架构的关键特征，但支持反刍的稳定性特征仍然难以捉摸。我们在一组健康参与者（N=40）中，描述了在诱导的连续反刍状态下整个大脑功能架构的稳定性，并将其与作为对照条件的受约束分心状态进行了比较。我们进一步研究了在与反刍与分心对比有显著影响的区域中，稳定性与反刍特征之间的关系。还探索了这些区域中动态功能连接（FC）的可变性，以确定在反刍期间驱动稳定性模式改变的潜在耦合区域。结果表明，与分心和休息状态相比，反刍的特征是相似但稳定性模式发生了改变。反刍与分心的比较表明，默认模式网络（DMN）的关键区域，如内侧前额叶皮层（MPFC）和双侧海马旁回（PHG），稳定性降低，而额顶控制网络（FPCN）区域，包括下顶叶皮层（IPL）和背外侧前额叶皮层（DLPFC），在反刍时与分心相比，稳定性显著增强。此外，MPFC 和 IPL 的稳定性与反刍特征的个体差异有关。动态 FC 变化的探索性分析表明，IPL 的稳定性越高，其与 PHG 的 FC 变化越小。总的来说，这些发现表明，反刍可能是由 DMN 中的低稳定性和 FPCN 中的高稳定性的分离动态性质支持的。
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