Toward an Understanding of the Neurofunctional Dissociation between Animal and Tool Concepts: A Graph Theoretical Analysis

Skiker Kaoutar, M. Maouene
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Abstract

Neuroimaging studies have shown that animal and tool concepts rely on distinct networks of brain areas. Animal concepts depend predominantly on temporal areas while tool concepts rely on fronto-temporo-parietal areas. However, the origin of this neurofunctional distinction for processing animal and tool concepts remains still unclear. Here, we address this question from a network perspective suggesting that the neural distinction between animals and tools might reflect the differences in their structural semantic networks. We build semantic networks for animal and tool concepts derived from McRae and colleague’s behavioral study conducted on a large number of participants. These two networks are thus analyzed through a large number of graph theoretical measures for small-worldness: centrality, clustering coefficient, average shortest path length, as well as resistance to random and targeted attacks. The results indicate that both animal and tool networks have small-world properties. More importantly, the animal network is more vulnerable to targeted attacks compared to the tool network a result that correlates with brain lesions studies.
对动物和工具概念之间的神经功能分离的理解:一个图理论分析
神经成像研究表明,动物和工具的概念依赖于不同的大脑区域网络。动物概念主要依赖于颞区,而工具概念依赖于额-颞-顶叶区。然而,这种处理动物和工具概念的神经功能区分的起源仍然不清楚。在这里,我们从网络的角度来解决这个问题,表明动物和工具之间的神经区别可能反映了它们结构语义网络的差异。我们建立了动物和工具概念的语义网络,这些概念来源于麦克雷及其同事对大量参与者进行的行为研究。因此,通过大量的小世界图理论度量来分析这两个网络:中心性、聚类系数、平均最短路径长度以及对随机和目标攻击的抵抗力。结果表明,动物网络和工具网络都具有小世界性质。更重要的是,与工具网络相比,动物网络更容易受到有针对性的攻击,这一结果与脑损伤研究有关。
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