Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea.
Nat Commun. 2023 Jun 15;14(1):3540. doi: 10.1038/s41467-023-39142-9.
Rumination is a cognitive style characterized by repetitive thoughts about one's negative internal states and is a common symptom of depression. Previous studies have linked trait rumination to alterations in the default mode network, but predictive brain markers of rumination are lacking. Here, we adopt a predictive modeling approach to develop a neuroimaging marker of rumination based on the variance of dynamic resting-state functional connectivity and test it across 5 diverse subclinical and clinical samples (total n = 288). A whole-brain marker based on dynamic connectivity with the dorsomedial prefrontal cortex (dmPFC) emerges as generalizable across the subclinical datasets. A refined marker consisting of the most important features from a virtual lesion analysis further predicts depression scores of adults with major depressive disorder (n = 35). This study highlights the role of the dmPFC in trait rumination and provides a dynamic functional connectivity marker for rumination.
反刍是一种认知风格,其特征是反复思考自己的消极内部状态,是抑郁症的常见症状。先前的研究将特质反刍与默认模式网络的改变联系起来,但缺乏反刍的预测性大脑标志物。在这里,我们采用预测建模方法,基于动态静息态功能连接的方差来开发反刍的神经影像学标志物,并在 5 个不同的亚临床和临床样本中进行测试(总 n=288)。基于与背内侧前额叶皮层(dmPFC)的动态连接的全脑标志物在亚临床数据集中具有可推广性。一个由虚拟损伤分析中最重要的特征组成的改进标记物进一步预测了有重度抑郁症的成年人的抑郁评分(n=35)。这项研究强调了 dmPFC 在特质反刍中的作用,并为反刍提供了一个动态功能连接的标志物。