Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, 030001, Taiyuan, P.R. China.
Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.
Brain Imaging Behav. 2024 Aug;18(4):753-763. doi: 10.1007/s11682-024-00869-8. Epub 2024 Feb 27.
The default mode network (DMN) can be subdivided into ventral and dorsal subsystems, which serve affective cognition and mental sense construction, respectively. An internally dissociated pattern of anti-correlations was observed between these two subsystems. Although numerous studies on neuroticism and openness have demonstrated the neurological functions of the DMN, little is known about whether different subsystems and hubs regions within the network are engaged in different functions in response to the two traits. We recruited 223 healthy volunteers in this study and collected their resting-state functional magnetic resonance imaging (fMRI) and NEO Five-Factor Inventory scores. We used independent component analysis (ICA) to obtain the DMN, before further decomposing it into the ventral and dorsal subsystems. Then, the network coherence of hubs regions within subsystems was extracted to construct two structural equation models (SEM) to explore the relationship between neuroticism and openness traits and DMN. We observed that the ventral DMN could significantly predict positive openness and negative neuroticism. The dorsal DMN was diametrically opposed. Additionally, the medial prefrontal cortex (mPFC) and middle temporal gyrus (MTG), both of which are core hubs of the subnetworks within the DMN, are significantly positively correlated with neuroticism and openness. These findings may point to a biological basis that neuroticism and openness are engaged in opposite mechanisms and support the hypothesis about the functional dissociation of the DMN.
默认模式网络(DMN)可以细分为腹侧和背侧子系统,分别负责情感认知和心理感知构建。这两个子系统之间存在着内部分离的负相关模式。尽管许多关于神经质和开放性的研究已经证明了 DMN 的神经功能,但对于网络中的不同子系统和枢纽区域是否会针对这两个特征进行不同的功能,我们知之甚少。在这项研究中,我们招募了 223 名健康志愿者,并收集了他们的静息态功能磁共振成像(fMRI)和 NEO 五因素量表得分。我们使用独立成分分析(ICA)获得 DMN,然后进一步将其分解为腹侧和背侧子系统。然后,提取子系统内枢纽区域的网络相干性,构建两个结构方程模型(SEM)来探索神经质和开放性特征与 DMN 之间的关系。我们发现,腹侧 DMN 可以显著预测积极的开放性和消极的神经质。背侧 DMN则相反。此外,内侧前额叶皮层(mPFC)和颞中回(MTG),这两个都是 DMN 子网络的核心枢纽,与神经质和开放性呈显著正相关。这些发现可能指向一个生物学基础,即神经质和开放性参与了相反的机制,并支持 DMN 功能分离的假设。