Matić Karla, Op de Beeck Hans, Bracci Stefania
Max Planck School of Cognition, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Brain and Cognition, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium.
Brain and Cognition, Leuven Brain Institute, University of Leuven (KU Leuven), Leuven, Belgium.
Cortex. 2020 Dec;133:358-370. doi: 10.1016/j.cortex.2020.09.016. Epub 2020 Oct 7.
The ability to build and expertly manipulate manual tools sets humans apart from other animals. Watching images of manual tools has been shown to elicit a distinct pattern of neural activity in a network of parietal areas, assumingly because tools entail a potential for action-a unique feature related to their functional use and not shared with other manipulable objects. However, a question has been raised whether this selectivity reflects a processing of low-level visual properties-such as elongated shape that is idiosyncratic to most tool-objects-rather than action-specific features. To address this question, we created and behaviourally validated a stimulus set that dissociates objects that are manipulable and nonmanipulable, as well as objects with different degrees of body extension property (tools and non-tools), while controlling for object shape and low-level image properties. We tested the encoding of action-related features by investigating neural representations in two parietal regions of interest (intraparietal sulcus and superior parietal lobule) using functional MRI. Univariate differences between tools and non-tools were not observed when controlling for visual properties, but strong evidence for the action account was nevertheless revealed when using a multivariate approach. Overall, this study provides further evidence that the representational content in the dorsal visual stream reflects encoding of action-specific properties.
制造并熟练使用手工工具的能力使人类有别于其他动物。研究表明,观看手工工具的图像会在顶叶区域网络中引发一种独特的神经活动模式,推测这是因为工具具有潜在的行动能力——这是与它们的功能用途相关的独特特征,而其他可操纵物体并不具备。然而,有人提出疑问,这种选择性是否反映了对低层次视觉属性的处理,比如大多数工具物体特有的细长形状,而非特定于行动的特征。为了解决这个问题,我们创建并通过行为验证了一个刺激集,该刺激集区分了可操纵和不可操纵的物体,以及具有不同身体延伸属性程度的物体(工具和非工具),同时控制物体形状和低层次图像属性。我们使用功能磁共振成像研究了两个感兴趣的顶叶区域(顶内沟和顶上小叶)中的神经表征,以此测试与行动相关特征的编码。在控制视觉属性时,未观察到工具和非工具之间的单变量差异,但使用多变量方法时,仍揭示了支持行动解释的有力证据。总体而言,本研究提供了进一步的证据,表明背侧视觉流中的表征内容反映了特定于行动的属性的编码。