Mauro Gianpaolo Del, Wang Ze
Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, HSF III, R1173, Baltimore, MD, 21202, USA.
Brain Struct Funct. 2025 Jan 27;230(2):35. doi: 10.1007/s00429-025-02897-6.
The brain entropy (BEN) reflects the randomness of brain activity and is inversely related to its temporal coherence. In recent years, BEN has been found to be associated with a number of neurocognitive, biological, and sociodemographic variables such as fluid intelligence, age, sex, and education. However, evidence regarding the potential relationship between BEN and brain structure is still lacking. In this study, we use resting-state fMRI (rsfMRI) data to estimate BEN and investigate its associations with three structural brain metrics: gray matter volume (GMV), surface area (SA), and cortical thickness (CT). We performed separate analyses on BEN maps derived from four distinct rsfMRI runs, and used a voxelwise as well as a regions-of-interest (ROIs) approach. Our findings consistently showed that lower BEN was related to increased GMV and SA in the lateral frontal and temporal lobes, inferior parietal lobules, and precuneus. We hypothesize that lower BEN and higher SA might reflect higher brain reserve as well as increased information processing capacity.
脑熵（BEN）反映了大脑活动的随机性，并且与其时间相干性呈负相关。近年来，人们发现脑熵与许多神经认知、生物学和社会人口统计学变量有关，如流体智力、年龄、性别和教育程度。然而，关于脑熵与脑结构之间潜在关系的证据仍然不足。在本研究中，我们使用静息态功能磁共振成像（rsfMRI）数据来估计脑熵，并研究其与三种脑结构指标的关联：灰质体积（GMV）、表面积（SA）和皮质厚度（CT）。我们对来自四次不同rsfMRI扫描的脑熵图进行了单独分析，并使用了体素级以及感兴趣区域（ROI）方法。我们的研究结果一致表明，较低的脑熵与外侧额叶和颞叶、顶下小叶以及楔前叶的灰质体积增加和表面积增加有关。我们推测，较低的脑熵和较高的表面积可能反映了更高的脑储备以及增强的信息处理能力。
