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Multivariate Pattern Analysis Reveals Category-Related Organization of Semantic Representations in Anterior Temporal Cortex

机译:多元模式分析揭示前颞叶皮层语义表征的类别相关组织

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摘要

The neural substrates of semantic representation have been the subject of much controversy. The study of semantic representations is complicated by difficulty in disentangling perceptual and semantic influences on neural activity, as well as in identifying stimulus-driven, “bottom-up” semantic selectivity unconfounded by top-down task-related modulations. To address these challenges, we trained human subjects to associate pseudowords (TPWs) with various animal and tool categories. To decode semantic representations of these TPWs, we used multivariate pattern classification of fMRI data acquired while subjects performed a semantic oddball detection task. Crucially, the classifier was trained and tested on disjoint sets of TPWs, so that the classifier had to use the semantic information from the training set to correctly classify the test set. Animal and tool TPWs were successfully decoded based on fMRI activity in spatially distinct subregions of the left medial anterior temporal lobe (LATL). In addition, tools (but not animals) were successfully decoded from activity in the left inferior parietal lobule. The tool-selective LATL subregion showed greater functional connectivity with left inferior parietal lobule and ventral premotor cortex, indicating that each LATL subregion exhibits distinct patterns of connectivity. Our findings demonstrate category-selective organization of semantic representations in LATL into spatially distinct subregions, continuing the lateral-medial segregation of activation in posterior temporal cortex previously observed in response to images of animals and tools, respectively. Together, our results provide evidence for segregation of processing hierarchies for different classes of objects and the existence of multiple, category-specific semantic networks in the brain.>SIGNIFICANCE STATEMENT The location and specificity of semantic representations in the brain are still widely debated. We trained human participants to associate specific pseudowords with various animal and tool categories, and used multivariate pattern classification of fMRI data to decode the semantic representations of the trained pseudowords. We found that: (1) animal and tool information was organized in category-selective subregions of medial left anterior temporal lobe (LATL); (2) tools, but not animals, were encoded in left inferior parietal lobe; and (3) LATL subregions exhibited distinct patterns of functional connectivity with category-related regions across cortex. Our findings suggest that semantic knowledge in LATL is organized in category-related subregions, providing evidence for the existence of multiple, category-specific semantic representations in the brain.
机译:语义表示的神经基础已成为许多争议的主题。语义表示的研究非常困难,难以分辨对神经活动的知觉和语义影响,以及难以识别由自上而下的与任务相关的调制不会混淆的刺激驱动的“自下而上”的语义选择性。为了应对这些挑战,我们训练了人类受试者将伪词(TPW)与各种动物和工具类别相关联。为了解码这些TPW的语义表示,我们使用了在受试者执行语义奇数球检测任务时获取的fMRI数据的多元模式分类。至关重要的是,分类器是在不连续的TPW集上进行训练和测试的,因此分类器必须使用训练集中的语义信息对测试集进行正确分类。基于功能磁共振成像活动在左内侧前颞叶(LATL)在空间上不同的子区域中成功解码了动物和工具TPW。此外,工具(但不是动物)已从左下顶叶的活动中成功解码。选择性工具的LATL子区域与左下顶叶和腹侧前运动皮层显示出更大的功能连通性,表明每个LATL子区域表现出不同的连通性模式。我们的研究结果表明,LATL中语义表示的类别选择组织成为空间上不同的子区域,继续分别在先前对动物和工具的图像中观察到的后颞叶皮质的激活的外侧-内侧隔离。在一起,我们的结果提供了证据,证明了不同类别对象的处理层次分离以及大脑中存在多个类别特定的语义网络。>意义声明:语义表达在大脑中的位置和特异性仍被广泛争论。我们训练了人类参与者以将特定的伪词与各种动物和工具类别相关联,并使用fMRI数据的多元模式分类来解码训练后的伪词的语义表示。我们发现:(1)动物和工具信息被组织在内侧左前颞叶(LATL)的类别选择子区域中; (2)左下顶叶编码工具,但不编码动物。 (3)LATL子区域在皮质上与类别相关区域表现出不同的功能连通性模式。我们的发现表明,LATL中的语义知识组织在与类别相关的子区域中,为大脑中存在多个特定类别的语义表示提供了证据。

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