The University of Queensland, Centre for Advanced Imaging, St Lucia, Queensland 4072, Australia.
Hum Brain Mapp. 2011 May;32(5):688-98. doi: 10.1002/hbm.21040. Epub 2011 Mar 9.
Semantic knowledge is supported by a widely distributed neuronal network, with differential patterns of activation depending upon experimental stimulus or task demands. Despite a wide body of knowledge on semantic object processing from the visual modality, the response of this semantic network to environmental sounds remains relatively unknown. Here, we used fMRI to investigate how access to different conceptual attributes from environmental sound input modulates this semantic network. Using a range of living and manmade sounds, we scanned participants whilst they carried out an object attribute verification task. Specifically, we tested visual perceptual, encyclopedic, and categorical attributes about living and manmade objects relative to a high-level auditory perceptual baseline to investigate the differential patterns of response to these contrasting types of object-related attributes, whilst keeping stimulus input constant across conditions. Within the bilateral distributed network engaged for processing environmental sounds across all conditions, we report here a highly significant dissociation within the left hemisphere between the processing of visual perceptual and encyclopedic attributes of objects.
语义知识由一个广泛分布的神经元网络支持，其激活模式因实验刺激或任务需求而异。尽管从视觉模态获得了大量关于语义对象处理的知识，但这个语义网络对环境声音的反应仍然相对未知。在这里，我们使用 fMRI 来研究从环境声音输入中获取不同的概念属性如何调节这个语义网络。我们使用一系列生活和人造声音，在参与者执行物体属性验证任务时对他们进行扫描。具体来说，我们测试了关于生活和人造物体的视觉感知、百科全书和类别属性，相对于一个高水平的听觉感知基线，以研究对这些对比类型的物体相关属性的反应模式的差异，同时在条件之间保持刺激输入不变。在跨所有条件处理环境声音的双侧分布式网络中，我们在这里报告了一个非常显著的左侧半球的分离，即在物体的视觉感知和百科全书属性的处理之间。
