Sidney Smith Hall, Dept. of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, M5S 3G3, Canada.
Center for Cognitive Brain Imaging, Baker Hall, Dept. of Psychology, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA.
Neuroimage. 2019 Feb 1;186:794-805. doi: 10.1016/j.neuroimage.2018.11.022. Epub 2018 Nov 17.
The advent of brain reading techniques has enabled new approaches to the study of concept representation, based on the analysis of multivoxel activation patterns evoked by the contemplation of individual concepts such as animal concepts. The present fMRI study characterized the representation of 30 animal concepts. Dimensionality reduction of the multivoxel activation patterns underlying the individual animal concepts indicated that the semantic building blocks of the brain's representations of the animals corresponded to intrinsic animal properties (e.g. fierceness, intelligence, size). These findings were compared to behavioral studies of concept representation, which have typically collected pairwise similarity ratings between two concepts (e.g. Henley, 1969). Behavioral similarity judgments, by contrast, indicated that the animals were organized into taxonomically defined groups (e.g. canine, feline, equine). The difference in the results between the brain reading and behavioral approaches might derive from differences in cognitive processing during judging similarities versus contemplating one animal at a time. Brain reading approaches may have an advantage in describing thoughts about an individual concept, owing to the ability to decode brain activation patterns elicited by the brief consideration of a single concept (e.g. word reading) without a complex cognitive or behavioral task (e.g. similarity judgments). On the other hand, some behavioral tasks may tend to evoke a concept from numerous perspectives, yielding a representation of the breadth and sophistication of the concept knowledge. These results suggest that neural and behavioral measures offer complementary perspectives that together characterize the content and structure of concept representations.
脑阅读技术的出现使人们能够基于对个体概念(如动物概念)的沉思所引起的多体素激活模式的分析,采用新方法来研究概念表示。本 fMRI 研究对 30 个动物概念的表示进行了特征化。对个体动物概念基础上的多体素激活模式进行降维处理表明,大脑对动物的表示的语义构建块与内在动物属性(例如凶猛、智力、大小)相对应。这些发现与概念表示的行为研究进行了比较,行为研究通常在两个概念之间收集成对的相似性评分(例如 Henley,1969)。相比之下,行为相似性判断表明,动物被组织成分类定义的群体(例如犬科、猫科、马科)。脑阅读方法和行为方法之间的结果差异可能源于在判断相似性与一次沉思一个动物之间的认知处理的差异。由于能够解码短暂考虑单个概念(例如阅读单词)而无需复杂的认知或行为任务(例如相似性判断)时所引起的大脑激活模式,脑阅读方法可能在描述对单个概念的想法方面具有优势。另一方面,某些行为任务可能倾向于从多个角度唤起一个概念,从而产生该概念知识的广度和复杂性的表示。这些结果表明,神经和行为测量方法提供了互补的观点,共同描述了概念表示的内容和结构。