Globally, about 17% individuals are suffering from the maladaptive procrastination until now, which impacts individual's financial status, mental health, and even public policy. However, the comprehensive understanding of neuroanatomical understructure of procrastination still remains gap. 688 participants including 3 independent samples were recruited for this study. Brain morphological dynamics referred to the idiosyncrasies of both brain size and brain shape. Multilinear regression analysis was utilized to delineate brain morphological dynamics of procrastination in Sample 1. In the Sample 2, cross-validation was yielded. Finally, prediction models of machine learning were conducted in Sample 3. Procrastination had a significantly positive correlation with the gray matter volume (GMV) in the left insula, anterior cingulate gyrus (ACC), and parahippocampal gyrus (PHC) but was negatively correlated with GMV of dorsolateral prefrontal cortex (dlPFC) and gray matter density of ACC. Furthermore, procrastination was positively correlated to the cortical thickness and cortical complexity of bilateral orbital frontal cortex (OFC). In Sample 2, all the results were cross-validated highly. Predication analysis demonstrated that these brain morphological dynamic can predict procrastination with high accuracy. This study ascertained the brain morphological dynamics involving in self-control, emotion, and episodic prospection brain network for procrastination, which advanced promising aspects of the biomarkers for it.

中文翻译：

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拖延的大脑形态动力学：自我控制、情绪和情景预测网络的关键作用。

迄今为止，全球约有 17% 的人患有适应不良的拖延症，这会影响个人的财务状况、心理健康甚至公共政策。然而，对拖延症的神经解剖学底层结构的全面理解仍然存在差距。本研究招募了 688 名参与者，包括 3 个独立样本。大脑形态动力学指的是大脑大小和大脑形状的特性。利用多元线性回归分析来描绘样本 1 中拖延的大脑形态动力学。在样本 2 中，产生了交叉验证。最后，在样本 3 中进行了机器学习的预测模型。 拖延与左脑岛、前扣带回 (ACC) 的灰质体积 (GMV)、和海马旁回 (PHC)，但与背外侧前额叶皮层 (dlPFC) 的 GMV 和 ACC 的灰质密度呈负相关。此外，拖延与双侧眶额皮质（OFC）的皮质厚度和皮质复杂性呈正相关。在示例 2 中，所有结果都经过高度交叉验证。预测分析表明，这些大脑形态动力学可以高精度地预测拖延。这项研究确定了涉及自我控制、情绪和情景预测大脑网络的大脑形态动力学，这为拖延症的生物标志物提供了有前景的方面。拖延与双侧眶额皮质（OFC）的皮质厚度和皮质复杂性呈正相关。在示例 2 中，所有结果都经过高度交叉验证。预测分析表明，这些大脑形态动力学可以高精度地预测拖延。这项研究确定了涉及自我控制、情绪和情景预测大脑网络的大脑形态动力学，这为拖延症的生物标志物提供了有前景的方面。拖延与双侧眶额皮质（OFC）的皮质厚度和皮质复杂性呈正相关。在示例 2 中，所有结果都经过高度交叉验证。预测分析表明，这些大脑形态动力学可以高精度地预测拖延。这项研究确定了涉及自我控制、情绪和情景预测大脑网络的大脑形态动力学，这为拖延症的生物标志物提供了有前景的方面。