1 Decision Neuroscience Laboratory, University of Illinois, Urbana, IL, USA.
Brain. 2014 Jan;137(Pt 1):277-87. doi: 10.1093/brain/awt312. Epub 2013 Nov 29.
Discourse comprehension is a hallmark of human social behaviour and refers to the act of interpreting a written or spoken message by constructing mental representations that integrate incoming language with prior knowledge and experience. Here, we report a human lesion study (n = 145) that investigates the neural mechanisms underlying discourse comprehension (measured by the Discourse Comprehension Test) and systematically examine its relation to a broad range of psychological factors, including psychometric intelligence (measured by the Wechsler Adult Intelligence Scale), emotional intelligence (measured by the Mayer, Salovey, Caruso Emotional Intelligence Test), and personality traits (measured by the Neuroticism-Extraversion-Openness Personality Inventory). Scores obtained from these factors were submitted to voxel-based lesion-symptom mapping to elucidate their neural substrates. Stepwise regression analyses revealed that working memory and extraversion reliably predict individual differences in discourse comprehension: higher working memory scores and lower extraversion levels predict better discourse comprehension performance. Lesion mapping results indicated that these convergent variables depend on a shared network of frontal and parietal regions, including white matter association tracts that bind these areas into a coordinated system. The observed findings motivate an integrative framework for understanding the neural foundations of discourse comprehension, suggesting that core elements of discourse processing emerge from a distributed network of brain regions that support specific competencies for executive and social function.
语篇理解是人类社会行为的一个标志,指的是通过构建心理表征来解释书面或口头信息的行为,即将输入的语言与先前的知识和经验整合起来。在这里,我们报告了一项人类病变研究(n = 145),该研究调查了语篇理解(通过语篇理解测试测量)的神经机制,并系统地检查了它与广泛的心理因素之间的关系,包括心理计量智力(通过韦氏成人智力测验测量)、情绪智力(通过 Mayer、Salovey、Caruso 情绪智力测验测量)和人格特质(通过神经质-外向性-开放性人格量表测量)。从这些因素中获得的分数被提交给基于体素的病变-症状映射,以阐明它们的神经基础。逐步回归分析显示,工作记忆和外向性可靠地预测语篇理解的个体差异:较高的工作记忆分数和较低的外向性水平预测更好的语篇理解表现。病变映射结果表明,这些趋同变量依赖于额叶和顶叶区域的共享网络,包括将这些区域结合成协调系统的白质联合束。观察到的发现为理解语篇理解的神经基础提供了一个综合框架,表明语篇处理的核心要素源自支持执行和社会功能特定能力的大脑区域的分布式网络。