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人类和非人类灵长类动物大脑半球结构效率和连接性的右偏侧化。

Brain hemispheric structural efficiency and interconnectivity rightward asymmetry in human and nonhuman primates.

机构信息

Neuroimaging Department, Cuban Neuroscience Center, CP 10 600, La Habana, Cuba.

出版信息

Cereb Cortex. 2011 Jan;21(1):56-67. doi: 10.1093/cercor/bhq058. Epub 2010 Apr 9.

Abstract

Evidence for interregional structural asymmetries has been previously reported for brain anatomic regions supporting well-described functional lateralization. Here, we aimed to investigate whether the two brain hemispheres demonstrate dissimilar general structural attributes implying different principles on information flow management. Common left hemisphere/right hemisphere structural network properties are estimated and compared for right-handed healthy human subjects and a nonhuman primate, by means of 3 different diffusion-weighted magnetic resonance imaging fiber tractography algorithms and a graph theory framework. In both the human and the nonhuman primate, the data support the conclusion that, in terms of the graph framework, the right hemisphere is significantly more efficient and interconnected than the left hemisphere, whereas the left hemisphere presents more central or indispensable regions for the whole-brain structural network than the right hemisphere. From our point of view, in terms of functional principles, this pattern could be related with the fact that the left hemisphere has a leading role for highly demanding specific process, such as language and motor actions, which may require dedicated specialized networks, whereas the right hemisphere has a leading role for more general process, such as integration tasks, which may require a more general level of interconnection.

摘要

先前已有研究报道,大脑解剖区域支持明确的功能偏侧化,存在区域间结构不对称性。在这里,我们旨在通过三种不同的弥散加权磁共振成像纤维追踪算法和图论框架,研究左右大脑半球是否表现出不同的一般结构属性,暗示着不同的信息流管理原则。我们对比了右利手健康人类受试者和非人类灵长类动物的左右大脑半球的常见结构网络属性,结果支持以下结论:就图论框架而言,右半球比左半球效率更高,连接性更强,而左半球对于全脑结构网络的核心或不可或缺区域比右半球更多。从我们的角度来看,就功能原则而言,这种模式可能与左半球在语言和运动等高度要求特定过程中起主导作用有关,这些过程可能需要专门的网络,而右半球在更一般的过程中起主导作用,例如整合任务,这些过程可能需要更一般的连接水平。

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