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解析皮质功能连接的强度和拓扑结构揭示了基因和环境的不同作用。

Disentangling cortical functional connectivity strength and topography reveals divergent roles of genes and environment.

机构信息

Department of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna 1090, Austria.

Department of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna 1090, Austria; Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, United States.

出版信息

Neuroimage. 2022 Feb 15;247:118770. doi: 10.1016/j.neuroimage.2021.118770. Epub 2021 Nov 30.

Abstract

The human brain varies across individuals in its morphology, function, and cognitive capacities. Variability is particularly high in phylogenetically modern regions associated with higher order cognitive abilities, but its relationship to the layout and strength of functional networks is poorly understood. In this study we disentangled the variability of two key aspects of functional connectivity: strength and topography. We then compared the genetic and environmental influences on these two features. Genetic contribution is heterogeneously distributed across the cortex and differs for strength and topography. In heteromodal areas genes predominantly affect the topography of networks, while their connectivity strength is shaped primarily by random environmental influence such as learning. We identified peak areas of genetic control of topography overlapping with parts of the processing stream from primary areas to network hubs in the default mode network, suggesting the coordination of spatial configurations across those processing pathways. These findings provide a detailed map of the diverse contribution of heritability and individual experience to the strength and topography of functional brain architecture.

摘要

人类大脑在形态、功能和认知能力上存在个体差异。与更高阶认知能力相关的系统发生上较为现代的区域,其变异性特别高,但它与功能网络的布局和强度之间的关系尚不清楚。在这项研究中,我们分解了功能连接的两个关键方面的可变性:强度和地形。然后,我们比较了这两个特征的遗传和环境影响。遗传贡献在皮质上呈异质分布,并且强度和地形的遗传贡献不同。在异模态区域,基因主要影响网络的地形,而它们的连接强度主要由学习等随机环境影响形成。我们确定了地形遗传控制的峰值区域与默认模式网络中从主要区域到网络中枢的处理流的部分重叠,这表明了这些处理途径中空间配置的协调。这些发现为遗传和个体经验对功能大脑结构的强度和地形的不同贡献提供了详细的图谱。

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