Large-scale cortical network properties predict future sound-to-word learning success.

Large-scale cortical network properties predict future sound-to-word learning success.
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DOI:
10.1162/jocn_a_00210
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发表时间:
2012-05
影响因子:
3.2
通讯作者:
Wong PC
Wong PC
中科院分区:
医学3区
文献类型:
--
作者:
Sheppard JP;Wang JP;Wong PC

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人类的大脑拥有一种非凡的能力,能够将新奇的声音解释和回忆成口语。这些语言能力产生于跨越广泛分布的皮层网络的复杂处理,其特征在于显著的个体差异。最近,图论分析促进了对大规模大脑功能组织的这些方面如何成为认知表现的基础的探索。脑功能网络具有小世界拓扑结构,其特征是有效的全局和局部信息传递,但这些特性是否与语言学习能力有关仍然未知。在这里,我们应用图论来构建大规模的皮层功能网络从听觉音高辨别任务中获得的脑血流动力学(fMRI)反应,并发现这种网络特性与参与者未来学习人工口语单词的成功有关。相对于不太成功的学习者,成功的学习者拥有局部效率降低但全局效率提高的网络,并且拥有更具成本效益的网络组织。在区域上,成功和不太成功的学习者表现出这些网络特性的差异,跨越双侧前额叶,顶叶和右颞叶皮层,重叠的听觉语言区的核心网络。这些结果表明,在健康的年轻成年人中,有效的皮层网络组织与声音到单词的学习能力有关。
The human brain possesses a remarkable capacity to interpret and recall novel sounds as spoken language. These linguistic abilities arise from complex processing spanning a widely distributed cortical network and are characterized by marked individual variation. Recently, graph theoretical analysis has facilitated the exploration of how such aspects of large-scale brain functional organization may underlie cognitive performance. Brain functional networks are known to possess small-world topologies characterized by efficient global and local information transfer, but whether these properties relate to language learning abilities remains unknown. Here we applied graph theory to construct large-scale cortical functional networks from cerebral hemodynamic (fMRI) responses acquired during an auditory pitch discrimination task and found that such network properties were associated with participants’ future success in learning words of an artificial spoken language. Successful learners possessed networks with reduced local efficiency but increased global efficiency relative to less successful learners and had a more cost-efficient network organization. Regionally, successful and less successful learners exhibited differences in these network properties spanning bilateral prefrontal, parietal, and right temporal cortex, overlapping a core network of auditory language areas. These results suggest that efficient cortical network organization is associated with sound-to-word learning abilities among healthy, younger adults.
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