Department of Psychology, Center for Brain Science, Harvard University, Cambridge, Massachusetts.
Department of Neurology and Neurological Sciences, Stanford University, Stanford, California.
J Neurophysiol. 2020 Nov 1;124(5):1415-1448. doi: 10.1152/jn.00753.2019. Epub 2020 Sep 23.
Using procedures optimized to explore network organization within the individual, the topography of a candidate language network was characterized and situated within the broader context of adjacent networks. The candidate network was first identified using functional connectivity and replicated across individuals, acquisition tasks, and analytical methods. In addition to classical language regions near the perisylvian cortex and temporal pole, regions were also observed in dorsal posterior cingulate, midcingulate, and anterior superior frontal and inferior temporal cortex. The candidate network was selectively activated when processing meaningful (as contrasted with nonword) sentences, whereas spatially adjacent networks showed minimal or even decreased activity. Results were replicated and triplicated across two prospectively acquired cohorts. Examined in relation to adjacent networks, the topography of the language network was found to parallel the motif of other association networks, including the transmodal association networks linked to theory of mind and episodic remembering (often collectively called the default network). The several networks contained juxtaposed regions in multiple association zones. Outside of these juxtaposed higher-order networks, we further noted a distinct frontotemporal network situated between language regions and a frontal orofacial motor region and a temporal auditory region. A possibility is that these functionally related sensorimotor regions might anchor specialization of neighboring association regions that develop into a language network. What is most striking is that the canonical language network appears to be just one of multiple similarly organized, differentially specialized distributed networks that populate the evolutionarily expanded zones of human association cortex. This research shows that a language network can be identified within individuals using functional connectivity. Organizational details reveal that the language network shares a common spatial motif with other association networks, including default and frontoparietal control networks. The language network is activated by language task demands, whereas closely juxtaposed networks are not, suggesting that similarly organized but differentially specialized distributed networks populate association cortex.
利用优化的方法探索个体内部的网络组织,我们描绘了候选语言网络的拓扑结构,并将其置于相邻网络的更广泛背景下。首先,我们使用功能连接识别候选网络,并在个体、采集任务和分析方法上复制该网络。除了在大脑外侧裂周围和颞极附近的经典语言区域外,还观察到后扣带回、中扣带回以及前上额和下颞叶皮质的背侧区域。当处理有意义(与无意义词相对)的句子时,候选网络被选择性激活,而空间上相邻的网络显示出最小或甚至减少的活动。结果在两个前瞻性采集的队列中得到了复制和三重复制。与相邻网络一起检查时,语言网络的拓扑结构被发现与其他联想网络的模式相平行,包括与心理理论和情景记忆相关的跨模态联想网络(通常统称为默认网络)。这些网络包含在多个关联区域中的并置区域。在这些并置的高级网络之外,我们还注意到一个位于语言区域和额面部运动区域以及颞部听觉区域之间的独特的额颞网络。一种可能性是,这些功能相关的感觉运动区域可能固定相邻联想区域的专业化,这些区域发展成为语言网络。最引人注目的是,经典的语言网络似乎只是众多同样组织化、差异化专业化的分布式网络中的一个,这些网络填充了人类联想皮层进化扩展的区域。这项研究表明,使用功能连接可以在个体内部识别语言网络。组织细节揭示了语言网络与其他联想网络(包括默认和额顶控制网络)共享共同的空间模式。语言网络是由语言任务需求激活的,而紧密相邻的网络则不会,这表明同样组织化但差异化专业化的分布式网络填充了联想皮层。