重新审视人类语言和语音产生网络:一项元分析连接建模研究。

IF 4.7 2区 医学 Q1 NEUROIMAGING
Chun-Wei Hsu , Chu-Chung Huang , Chih-Chin Heather Hsu , Yanchao Bi , Ovid Jyh-Lang Tzeng , Ching-Po Lin
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引用次数: 0

摘要

近几十年来,越来越多的证据表明,人类语言的产生是由语言选择系统和领域通用系统组成的大规模分层网络进行的。然而,目前尚不清楚这些系统在语音产生过程中如何相互作用,以及它们的组成区域的具体贡献。通过一系列基于不同语言任务的元分析方法,我们在本研究中分离出四个主要系统:领域通用系统、高级语言系统、运动感知系统和语音控制系统。利用元分析连通性模型,我们发现,在不同的语音相关任务中,包括运动感知,当域通用系统与高级语言区域和语音控制网络协同激活时,只有腹侧中央前回的语音控制网络与其他系统协同激活。总之,本研究使用元分析方法重新审视了先前提出的语言模型,并强调了语音控制网络对独立于发音运动的语音产生过程的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revisiting human language and speech production network: A meta-analytic connectivity modeling study
In recent decades, converging evidence has reached a consensus that human speech production is carried out by large-scale hierarchical network comprising both language-selective and domain-general systems. However, it remains unclear how these systems interact during speech production and the specific contributions of their component regions. By utilizing a series of meta-analytic approaches based on various language tasks, we dissociated four major systems in this study: domain-general, high-level language, motor-perception, and speech-control systems. Using meta-analytic connectivity modeling, we found that while the domain-general system is coactivated with high-level language regions and speech-control networks, only the speech-control network at the ventral precentral gyrus is coactivated with other systems during different speech-related tasks, including motor perception. In summary, this study revisits the previously proposed language models using meta-analytic approaches and highlights the contribution of the speech-control network to the process of speech production independent of articulatory motor.
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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