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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality
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The Representation of Semantic Information Across Human Cerebral Cortex During Listening Versus Reading Is Invariant to Stimulus Modality

机译：在听听与读数中跨人类脑皮质的语义信息的代表性是刺激模态的不变

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摘要

An integral part of human language is the capacity to extract meaning from spoken and written words, but the precise relationship between brain representations of information perceived by listening versus reading is unclear. Prior neuroimaging studies have shown that semantic information in spoken language is represented in multiple regions in the human cerebral cortex, while amodal semantic information appears to be represented in a few broad brain regions. However, previous studies were too insensitive to determine whether semantic representations were shared at a fine level of detail rather than merely at a coarse scale. We used fMRI to record brain activity in two separate experiments while participants listened to or read several hours of the same narrative stories, and then created voxelwise encoding models to characterize semantic selectivity in each voxel and in each individual participant. We find that semantic tuning during listening and reading are highly correlated in most semantically selective regions of cortex, and models estimated using one modality accurately predict voxel responses in the other modality. These results suggest that the representation of language semantics is independent of the sensory modality through which the semantic information is received.
机译：人类语言的一个组成部分，是提取从口头和书面文字意为能力，但通过听感知与读取大脑信息表述的确切关系尚不清楚。以前神经影像学研究表明，在口语中的语义信息在多个地区表示在人的大脑皮层，而amodal语义信息出现在一些广泛的脑区来表示。然而，以往的研究太不敏感，以确定语义表示是否在细节的精细程度，而不是仅仅在粗具规模的共享。我们用功能磁共振成像记录大脑活动在两个独立的实验，同时参加收听或阅读几个小时同叙述的故事，然后创建voxelwise编码模型中各体素和每一个人参与到语义特征的选择性。我们发现，语义调谐过程中听力和阅读的皮质最语义选择区域是高度相关的，并使用一个模式准确地预测在其他形式的体素的反应模型进行估算。这些结果表明，语言语义的表示是独立通过其接收语义信息的感觉模式的。

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