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Uncovering cortical activations of discourse comprehension and their overlaps with common large-scale neural networks

机译:揭示语气语气理解的皮质激活及其与普通大规模神经网络的重叠

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We conducted a meta-analysis of 78 task-based functional magnetic resonance imaging (fMRI) studies (1976 total participants) to reveal underlying brain activations and their overlap with large-scale neural networks in the brain during general discourse comprehension and its sub-processes. We found that discourse comprehension involved a neural system consisting of widely distributed brain regions that comprised not only the bilateral perisylvian language zones, but also regions in the superior and medial frontal cortex and the medial temporal lobe. Moreover, this neural system can be categorized into several sub-systems representing various sub-processes of discourse comprehension, with the left inferior frontal gyrus and middle temporal gyrus serving as core regions across all sub-processes. At a large-scale network level, we found that discourse comprehension relied most heavily on the default network, particularly on its dorsal medial subsystem. The pattern associated with large-scale network cooperation varied according to the respective sub-processes required. Our results reveal the functional dissociation within the discourse comprehension neural system and highlight the flexible involvements of large-scale networks.
机译:我们对基于78个任务的功能磁共振成像(FMRI)研究(1976年总参与者)进行了META分析,以揭示一般话语理解期间大脑中大规模神经网络的潜在脑激活及其重叠,以及其子流程。我们发现话语理解涉及一种由广泛分布的大脑区域组成的神经系统,该地区不仅包括双侧帕里萨维安语言区,还包括各种各样的前部皮层和内侧颞叶中的地区。此外,该神经系统可以分为代表话语理解的各种子过程的若干子系统,左下方回流和作为跨越所有子过程的核心区域的中间时间回流。在大规模的网络级别,我们发现话语理解最大地依赖于默认网络,特别是在其背侧内部系统上。与大规模网络协作相关的模式根据所需的各个子过程而变化。我们的结果揭示了话语理解神经系统内的功能解离,并突出了大型网络的灵活参与。

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