IMT School for Advanced Studies Lucca, Lucca, Italy.
Department of Biomedical, Metabolic and Neural Sciences and Center for Neuroscience and Neurotechnology, University of Modena and Reggio Emilia, Modena, Italy.
Hum Brain Mapp. 2024 Aug 1;45(11):e26762. doi: 10.1002/hbm.26762.
Hierarchical models have been proposed to explain how the brain encodes actions, whereby different areas represent different features, such as gesture kinematics, target object, action goal, and meaning. The visual processing of action-related information is distributed over a well-known network of brain regions spanning separate anatomical areas, attuned to specific stimulus properties, and referred to as action observation network (AON). To determine the brain organization of these features, we measured representational geometries during the observation of a large set of transitive and intransitive gestures in two independent functional magnetic resonance imaging experiments. We provided evidence for a partial dissociation between kinematics, object characteristics, and action meaning in the occipito-parietal, ventro-temporal, and lateral occipito-temporal cortex, respectively. Importantly, most of the AON showed low specificity to all the explored features, and representational spaces sharing similar information content were spread across the cortex without being anatomically adjacent. Overall, our results support the notion that the AON relies on overlapping and distributed coding and may act as a unique representational space instead of mapping features in a modular and segregated manner.
分层模型被提出用以解释大脑如何对动作进行编码,其中不同的区域代表不同的特征,如运动学、目标物体、动作目标和意义。与动作相关的信息的视觉处理分布在跨越不同解剖区域的一组众所周知的大脑区域网络中,该网络与特定的刺激特性相适应,被称为动作观察网络(AON)。为了确定这些特征的大脑组织,我们在两个独立的功能磁共振成像实验中观察了大量传递和非传递动作时测量了表示几何图形。我们提供了证据表明,在枕顶叶、腹颞叶和外侧枕颞叶皮质中,运动学、物体特征和动作意义之间存在部分分离。重要的是,AON 的大部分区域对所有探索的特征特异性较低,并且具有相似信息内容的表示空间在没有解剖相邻的情况下分布在整个大脑皮层中。总体而言,我们的结果支持了 AON 依赖于重叠和分布式编码的观点,并且可能作为一个独特的表示空间起作用,而不是以模块化和隔离的方式映射特征。