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Decoding the meaning of unconsciously processed words using fMRI-based MVPA

机译:使用基于FMRI的MVPA解码无意识处理单词的含义

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Does the human brain elicit patterns of activity associated with the meaning of words in the absence of conscious awareness? Do such non-conscious semantic representations generalize across languages? This study aimed to address these questions using fMRI-based multivariate pattern analysis (MVPA) in a masked word paradigm. Animal and non-animal words were visually presented in two different languages (i.e. Spanish and Basque). Words were presented very briefly and were masked. On each trial, participants identified the semantic category and provided a visibility rating of the word. A support vector machine (SVM) was used to decode word category from multivoxel patterns of BOLD responses in seven canonical semantic regions of a left-lateralized network that were prespecified based on a previous meta-analysis. We show that the semantic category of non-conscious words (i.e. associated with null visual experience and chance-level discrimination performance) can be significantly decoded from BOLD response patterns. For Spanish, such discriminative patterns of BOLD responses were consistently found in inferior parietal lobe, dorsomedial prefrontal cortex, inferior frontal gyrus and posterior cingulate gyrus. While for Basque, these were found in ventromedial temporal lobe and posterior cingulate gyrus. All of the areas identified have previously been associated with semantic processing in studies involving animals-tools and animals-artifacts contrasts. In conscious trials, such patterns were found to be distributed over all seven regions of the semantic network in both Spanish and Basque. However, we found no evidence of across-language generalization. These results demonstrate that even in the absence of conscious awareness and lack of behavioural sensitivity to the words, putative semantic brain areas carry information related to the meanings of the words. The generalization of semantic representations across languages, however, may require deeper conscious semantic access.
机译:人类大脑是否引起了与词语含义相关的活动模式,没有意识意识?这样的未经意识的语义表示概括了语言吗?本研究旨在使用基于FMRI的多变量模式分析(MVPA)来解决这些问题的屏蔽字范例。动物和非动物单词以两种不同的语言呈现(即西班牙语和巴斯克)。单词非常简单地呈现并被掩盖。在每次试验中,参与者确定了语义类别,并提供了单词的可见性等级。支持向量机(SVM)用于解码基于先前的META分析的左侧化网络的七个规范语义区域中的七个规范语义区域中的多种粗响应的多种响应模式。我们表明,可以从粗体响应模式中显着地解码非有意识的单词(即与空视觉体验和机会级别辨别性能相关联的语义类别。对于西班牙语,这种大胆反应的这种判别模式始终存在于劣质叶,背体前甲醛皮质,较差的额相回到后铰霉子宫中。对于巴斯克来说,这些在腹侧颞叶和后铰接旋转中发现。鉴定的所有领域以前已经与涉及动物工具和动物伪影的研究中的语义处理有关。在有意识的试验中,发现这种模式被发现分布在西班牙和巴斯克两种地区的所有七个区域。但是,我们没有发现跨语言泛化的证据。这些结果表明,即使在没有意识的意识和对这些词语缺乏行为敏感性的情况下,推定的语义大脑区域也携带与词语的含义相关的信息。然而,跨语言的语义表示的泛化可能需要更深入的意识语义访问。

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