Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding.

Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding.
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DOI:
10.1016/j.neuroimage.2021.118073
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发表时间:
2021-08-01
期刊:
影响因子:
5.7
通讯作者:
Hoffman P
Hoffman P
中科院分区:
医学1区
文献类型:
--
作者:
Asyraff A;Lemarchand R;Tamm A;Hoffman P

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多变量神经成像研究表明,大脑以一种容易概括刺激的形式表示单词和对象概念。在这里,我们调查了用句子描述简单事件的神经表征是否如此。参与者以不同的方式观看描述四个事件的句子。多变量分类器被训练成使用句子的子集来区分这四个事件,使我们能够测试对新句子的泛化。我们发现,在额叶、颞叶和顶叶区域的左侧网络中,神经模式区分事件的方式成功地概括了用于描述事件的句子的句法和词汇属性的变化。相比之下,视觉区域的解码是特定于句子的,不能概括为新的句子。在反向分析中,我们测试了与所描述的事件无关的句法和词汇结构的解码。显示这种编码的区域是有限的,并且在很大程度上落在规范语义网络之外。我们的结果表明,分布式神经网络以一种对事件句子的结构和形式变化具有健壮性的方式来表示事件句子的含义。他们认为,语义系统忽略了刺激的表面属性,以表示其潜在的概念意义。
Multivariate neuroimaging studies indicate that the brain represents word and object concepts in a format that readily generalises across stimuli. Here we investigated whether this was true for neural representations of simple events described using sentences. Participants viewed sentences describing four events in different ways. Multivariate classifiers were trained to discriminate the four events using a subset of sentences, allowing us to test generalisation to novel sentences. We found that neural patterns in a left-lateralised network of frontal, temporal and parietal regions discriminated events in a way that generalised successfully over changes in the syntactic and lexical properties of the sentences used to describe them. In contrast, decoding in visual areas was sentence-specific and failed to generalise to novel sentences. In the reverse analysis, we tested for decoding of syntactic and lexical structure, independent of the event being described. Regions displaying this coding were limited and largely fell outside the canonical semantic network. Our results indicate that a distributed neural network represents the meaning of event sentences in a way that is robust to changes in their structure and form. They suggest that the semantic system disregards the surface properties of stimuli in order to represent their underlying conceptual significance.
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