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通过触摸学习的新颖可移动物体的静态图像会激活视觉区 hMT+。

Static images of novel, moveable objects learned through touch activate visual area hMT+.

机构信息

School of Psychology and Institute of Neuroscience, Trinity College Dublin, Dublin, Republic of Ireland.

出版信息

Neuroimage. 2010 Jan 15;49(2):1708-16. doi: 10.1016/j.neuroimage.2009.09.068. Epub 2009 Oct 6.

Abstract

Although many studies have found similar cortical areas activated during the recognition of objects encoded through vision or touch, little is known about cortical areas involved in the crossmodal recognition of dynamic objects. Here, we investigated which cortical areas are involved in the recognition of moving objects and were specifically interested in whether motion areas are involved in the recognition of dynamic objects within and across sensory modalities. Prior to scanning, participants first learned to recognise a set of 12 novel objects, each presented either visually or haptically, and either moving or stationary. We then conducted fMRI whilst participants performed an old-new task with static images of learned or not-learned objects. We found the fusiform and right inferior frontal gyri more activated to within-modal visual than crossmodal object recognition. Our results also revealed increased activation in area hMT+, LOC and the middle occipital gyrus, in the right hemisphere only, for the objects learned as moving compared to the learned static objects, regardless of modality. We propose that the network of cortical areas involved in the recognition of dynamic objects is largely independent of modality and have important implications for understanding the neural substrates of multisensory dynamic object recognition.

摘要

虽然许多研究已经发现了在视觉或触觉编码的物体识别过程中激活的相似皮质区域,但对于涉及动态物体的跨模态识别的皮质区域知之甚少。在这里,我们研究了哪些皮质区域参与了运动物体的识别,并且特别关注运动区域是否参与了跨感觉模态的动态物体的识别。在扫描之前,参与者首先学习识别一组 12 个新的物体,每个物体都以视觉或触觉的方式呈现,并且是运动的或静止的。然后,我们在参与者进行旧新任务时进行 fMRI,任务是用学习过或未学习过的物体的静态图像进行。我们发现,对于模态内的视觉识别,梭状回和右侧下额回比跨模态物体识别更活跃。我们的结果还表明,在右半球,对于作为运动学习的物体,与学习的静态物体相比,区域 hMT+、LOC 和中枕叶回的激活增加,而与模态无关。我们提出,参与动态物体识别的皮质区域网络在很大程度上独立于模态,并且对理解多感觉动态物体识别的神经基础具有重要意义。

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