CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, No. 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Department of Psychology, University of Chinese Academy of Sciences, Shijingshan, Beijing, China.
Behav Brain Funct. 2023 Sep 25;19(1):16. doi: 10.1186/s12993-023-00219-6.
Living a happy and meaningful life is an eternal topic in positive psychology, which is crucial for individuals' physical and mental health as well as social functioning. Well-being can be subdivided into pleasure attainment related hedonic well-being or emotional well-being, and self-actualization related eudaimonic well-being or psychological well-being plus social well-being. Previous studies have mostly focused on human brain morphological and functional mechanisms underlying different dimensions of well-being, but no study explored brain network mechanisms of well-being, especially in terms of topological properties of human brain morphological similarity network.
Therefore, in the study, we collected 65 datasets including magnetic resonance imaging (MRI) and well-being data, and constructed human brain morphological network based on morphological distribution similarity of cortical thickness to explore the correlations between topological properties including network efficiency and centrality and different dimensions of well-being.
We found emotional well-being was negatively correlated with betweenness centrality in the visual network but positively correlated with eigenvector centrality in the precentral sulcus, while the total score of well-being was positively correlated with local efficiency in the posterior cingulate cortex of cortical thickness network.
Our findings demonstrated that different dimensions of well-being corresponded to different cortical hierarchies: hedonic well-being was involved in more preliminary cognitive processing stages including perceptual and attentional information processing, while hedonic and eudaimonic well-being might share common morphological similarity network mechanisms in the subsequent advanced cognitive processing stages.
幸福和有意义的生活是积极心理学中的一个永恒话题，对个体的身心健康和社会功能至关重要。幸福感可以细分为与获得愉悦相关的享乐幸福感或情绪幸福感，以及与自我实现相关的幸福论幸福感或心理幸福感加社会幸福感。先前的研究大多集中在人类大脑形态和功能机制对幸福感不同维度的影响上，但没有研究探索幸福感的大脑网络机制，特别是在人类大脑形态相似性网络的拓扑特性方面。
因此，在本研究中，我们收集了 65 个数据集，包括磁共振成像（MRI）和幸福感数据，并构建了基于皮质厚度形态分布相似性的人类大脑形态网络，以探讨拓扑特性（包括网络效率和中心性）与幸福感不同维度之间的相关性。
我们发现情绪幸福感与视觉网络中的介数中心度呈负相关，与中央前回的特征向量中心度呈正相关，而幸福感总分与皮质厚度网络中后扣带回的局部效率呈正相关。
我们的研究结果表明，幸福感的不同维度与不同的皮质层次相对应：享乐幸福感涉及更初步的认知加工阶段，包括感知和注意力信息处理，而享乐幸福感和幸福论幸福感可能在随后的高级认知加工阶段共享共同的形态相似性网络机制。
