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大规模分布式网络与大脑半球。

Large-scale distributed networks and cerebral hemispheres.

机构信息

Luria Neuroscience Institute, New York, NY, USA; New York University Grossman School of Medicine, New York, NY, USA.

Institute of Psychology, University of Tartu, Tartu, Estonia; National Institute for Health Development, Tallinn, Estonia.

出版信息

Cortex. 2022 Jul;152:53-58. doi: 10.1016/j.cortex.2022.03.010. Epub 2022 Apr 5.

DOI:10.1016/j.cortex.2022.03.010
PMID:35525128
Abstract

The two main large-scale distributed networks, Central Executive (CEN) and Default Mode (DMN) have been extensively studied, but their relationship to hemispheric specialization has not been comprehensively addressed. We present evidence that they are neuroanatomically asymmetric: the CEN components are volumetrically larger in the right hemisphere, and DMN components are volumetrically larger in the left hemisphere. Based on this, the possibility that CEN and DMN are also functionally asymmetric is introduced and implications of the putative functional asymmetry of large-scale distributed networks for refining our understanding of hemispheric specialization are examined.

摘要

两个主要的大规模分布式网络,中央执行网络(CEN)和默认模式网络(DMN)已经被广泛研究,但其与半球专门化的关系尚未得到全面解决。我们提供的证据表明,它们在神经解剖学上是不对称的:右侧大脑半球的 CEN 成分在体积上更大,而左侧大脑半球的 DMN 成分在体积上更大。基于此,引入了 CEN 和 DMN 也可能在功能上不对称的可能性,并探讨了大规模分布式网络的假设功能不对称性对完善我们对半球专门化的理解的影响。

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