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场景中基于空间频率信息的语义干扰的神经基础

The Neural Bases of the Semantic Interference of Spatial Frequency-based Information in Scenes.

作者信息

Kauffmann Louise, Bourgin Jessica, Guyader Nathalie, Peyrin Carole

机构信息

Université Grenoble Alpes.

CNRS, Grenoble, France.

出版信息

J Cogn Neurosci. 2015 Dec;27(12):2394-405. doi: 10.1162/jocn_a_00861. Epub 2015 Aug 5.

Abstract

Current models of visual perception suggest that during scene categorization, low spatial frequencies (LSF) are processed rapidly and activate plausible interpretations of visual input. This coarse analysis would then be used to guide subsequent processing of high spatial frequencies (HSF). The present fMRI study examined how processing of LSF may influence that of HSF by investigating the neural bases of the semantic interference effect. We used hybrid scenes as stimuli by combining LSF and HSF from two different scenes, and participants had to categorize the HSF scene. Categorization was impaired when LSF and HSF scenes were semantically dissimilar, suggesting that the LSF scene was processed automatically and interfered with categorization of the HSF scene. fMRI results revealed that this semantic interference effect was associated with increased activation in the inferior frontal gyrus, the superior parietal lobules, and the fusiform and parahippocampal gyri. Furthermore, a connectivity analysis (psychophysiological interaction) revealed that the semantic interference effect resulted in increasing connectivity between the right fusiform and the right inferior frontal gyri. Results support influential models suggesting that, during scene categorization, LSF information is processed rapidly in the pFC and activates plausible interpretations of the scene category. These coarse predictions would then initiate top-down influences on recognition-related areas of the inferotemporal cortex, and these could interfere with the categorization of HSF information in case of semantic dissimilarity to LSF.

摘要

当前的视觉感知模型表明,在场景分类过程中,低空间频率(LSF)信息会被快速处理,并激活对视觉输入的合理解释。这种粗略分析随后会被用于指导后续对高空间频率(HSF)信息的处理。本功能磁共振成像(fMRI)研究通过探究语义干扰效应的神经基础,考察了LSF信息的处理如何影响HSF信息的处理。我们将来自两个不同场景的LSF和HSF组合,以此构建混合场景作为刺激物,让参与者对HSF场景进行分类。当LSF和HSF场景在语义上不相似时,分类能力会受损,这表明LSF场景会被自动处理,并干扰HSF场景的分类。fMRI结果显示,这种语义干扰效应与额下回、顶上小叶以及梭状回和海马旁回的激活增强有关。此外,一项连接性分析(心理生理交互作用分析)表明,语义干扰效应导致右侧梭状回和右侧额下回之间的连接性增强。研究结果支持了具有影响力的模型,这些模型表明,在场景分类过程中,LSF信息在额前叶皮质中被快速处理,并激活对场景类别的合理解释。这些粗略的预测随后会启动对颞下回皮质中与识别相关区域的自上而下的影响,并且在与LSF语义不相似的情况下,这些影响可能会干扰HSF信息的分类。

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