Semantic representation in the white matter pathway.
Semantic representation in the white matter pathway.
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白质通路中的语义表示
DOI：
10.1371/journal.pbio.2003993
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发表时间：
2018-04
期刊：
影响因子：
9.8
通讯作者：
Bi Y
中科院分区：
文献类型：
--
作者：
Fang Y;Wang X;Zhong S;Song L;Han Z;Gong G;Bi Y
对象概念处理已经被定位到代表特定属性的分布式皮层区域。一个具有挑战性的问题是对象语义空间是如何形成的。我们测试了一个新的框架，表示语义空间的模式白色物质（WM）连接的扩展表征相似性分析（RSA）的结构损伤模式和行为数据在80例脑损伤患者。对于每个WM连接，通过首先构建具有逐体素WM损伤模式作为特征的机器学习模型来计算神经表征相异性矩阵（RDM），以预测特定项目的命名性能，然后计算预测的命名得分与测试患者中另一个项目的实际命名得分之间的相关性。这种相关性被用来构建神经RDM，其基础是假设如果连接模式包含这两个项目的命名过程所共享的某些方面的信息，则用一个项目训练的模型也应该预测另一个项目的命名准确性。将神经RDM与各种认知RDM相关联，揭示了连接左枕/中颞区和前颞区与对象语义空间相关的几个WM连接中的神经模式。这种关联并不归因于特定于形态的属性（形状、操作、颜色和运动），也不归因于周边图片命名过程（图片视觉相似性、语音相似性），也不归因于广泛的语义类别，也不归因于它们所连接的皮质区域的属性，这些皮质区域往往代表多个特定于形态的属性。也就是说，语义空间可以表示通过跨皮质区域的WM连接模式表示模态特定的属性。
Object conceptual processing has been localized to distributed cortical regions that represent specific attributes. A challenging question is how object semantic space is formed. We tested a novel framework of representing semantic space in the pattern of white matter (WM) connections by extending the representational similarity analysis (RSA) to structural lesion pattern and behavioral data in 80 brain-damaged patients. For each WM connection, a neural representational dissimilarity matrix (RDM) was computed by first building machine-learning models with the voxel-wise WM lesion patterns as features to predict naming performance of a particular item and then computing the correlation between the predicted naming score and the actual naming score of another item in the testing patients. This correlation was used to build the neural RDM based on the assumption that if the connection pattern contains certain aspects of information shared by the naming processes of these two items, models trained with one item should also predict naming accuracy of the other. Correlating the neural RDM with various cognitive RDMs revealed that neural patterns in several WM connections that connect left occipital/middle temporal regions and anterior temporal regions associated with the object semantic space. Such associations were not attributable to modality-specific attributes (shape, manipulation, color, and motion), to peripheral picture-naming processes (picture visual similarity, phonological similarity), to broad semantic categories, or to the properties of the cortical regions that they connected, which tended to represent multiple modality-specific attributes. That is, the semantic space could be represented through WM connection patterns across cortical regions representing modality-specific attributes.
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