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成人全生命周期中单个体皮质形态脑网络。

Single-subject cortical morphological brain networks across the adult lifespan.

机构信息

School of Electronics and Information Technology, South China Normal University, Foshan, China.

Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China.

出版信息

Hum Brain Mapp. 2023 Nov;44(16):5429-5449. doi: 10.1002/hbm.26450. Epub 2023 Aug 14.

Abstract

Age-related changes in focal cortical morphology have been well documented in previous literature; however, how interregional coordination patterns of the focal cortical morphology reorganize with advancing age is not well established. In this study, we performed a comprehensive analysis of the topological changes in single-subject morphological brain networks across the adult lifespan. Specifically, we constructed four types of single-subject morphological brain networks for 650 participants (aged from 18 to 88 years old), and characterized their topological organization using graph-based network measures. Age-related changes in the network measures were examined via linear, quadratic, and cubic models. We found profound age-related changes in global small-world attributes and efficiency, local nodal centralities, and interregional similarities of the single-subject morphological brain networks. The age-related changes were mainly embodied in cortical thickness networks, involved in frontal regions and highly connected hubs, concentrated on short-range connections, characterized by linear changes, and susceptible to connections between limbic, frontoparietal, and ventral attention networks. Intriguingly, nonlinear (i.e., quadratic or cubic) age-related changes were frequently found in the insula and limbic regions, and age-related cubic changes preferred long-range morphological connections. Finally, we demonstrated that the morphological similarity in cortical thickness between two frontal regions mediated the relationship between age and cognition measured by Cattell scores. Taken together, these findings deepen our understanding of adaptive changes of the human brain with advancing age, which may account for interindividual variations in behaviors and cognition.

摘要

先前的文献已经充分记录了与年龄相关的皮质形态焦点变化;然而,随着年龄的增长,皮质形态焦点的区域间协调模式如何重新组织尚不清楚。在这项研究中,我们对整个成年期个体形态大脑网络的拓扑变化进行了全面分析。具体来说,我们为 650 名参与者(年龄在 18 至 88 岁之间)构建了四种类型的个体形态大脑网络,并使用基于图的网络度量来描述其拓扑结构。通过线性、二次和三次模型检查了网络度量的年龄相关性变化。我们发现个体形态大脑网络的全局小世界属性和效率、局部节点中心度以及区域间相似性都存在显著的与年龄相关的变化。与年龄相关的变化主要体现在皮质厚度网络中,涉及额区和高度连接的枢纽,集中在短程连接上,表现为线性变化,并且容易受到边缘、额顶和腹侧注意力网络之间的连接影响。有趣的是,在脑岛和边缘区域经常发现非线性(即二次或三次)与年龄相关的变化,与年龄相关的三次变化更倾向于长程形态连接。最后,我们证明了两个额区之间皮质厚度的形态相似性介导了卡特尔分数衡量的年龄与认知之间的关系。综上所述,这些发现加深了我们对人类大脑随年龄增长而适应性变化的理解,这可能解释了行为和认知的个体间差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7d7/10543107/ba497d0c9f36/HBM-44-5429-g003.jpg

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