Word predictability and semantic similarity show distinct patterns of brain activity during language comprehension
Word predictability and semantic similarity show distinct patterns of brain activity during language comprehension
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DOI：
10.1080/23273798.2017.1323109
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发表时间：
2017-01-01
影响因子：
2.3
通讯作者：
Willems, Roel M.
中科院分区：
文献类型：
--
作者：
Frank, Stefan L.;Willems, Roel M.
我们研究了两种类型的句子或文本的单词之间的关系的影响-可预测性和语义相似性-通过重新分析脑电图（EEG）和功能性磁共振成像（fMRI）的数据，在这些研究中，参与者理解自然刺激。每个内容词的可预测性给定以前的话是量化的概率语言模型，和以前的话的语义相似性是量化的分布语义模型。大脑活动的时间锁定到每个单词回归的两个模型衍生的措施。结果表明，可预测性和语义相似性有几乎相同的N400效应，但在功能磁共振成像数据中是分离的，与活动相关的词的可预测性，其中包括视觉词形区，和语义相似性与活动相关的区域与语义网络。这表明可预测性和相似性在自然语言理解过程中发挥作用，并调节不同的皮层区域。
We investigate the effects of two types of relationship between the words of a sentence or text - predictability and semantic similarity - by reanalysing electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data from studies in which participants comprehend naturalistic stimuli. Each content word's predictability given previous words is quantified by a probabilistic language model, and semantic similarity to previous words is quantified by a distributional semantics model. Brain activity time-locked to each word is regressed on the two model-derived measures. Results show that predictability and semantic similarity have near identical N400 effects but are dissociated in the fMRI data, with word predictability related to activity in, among others, the visual word-form area, and semantic similarity related to activity in areas associated with the semantic network. This indicates that both predictability and similarity play a role during natural language comprehension and modulate distinct cortical regions.