Suppr超能文献

盲人的视觉概念的神经表现。

Neural representation of visual concepts in people born blind.

机构信息

Department of Psychology, Harvard University, Cambridge, MA, 02138, USA.

Department of Psychology, Ben Gurion University of the Negev, Beer-Sheva, 8410501, Israel.

出版信息

Nat Commun. 2018 Dec 7;9(1):5250. doi: 10.1038/s41467-018-07574-3.

Abstract

How do we represent information without sensory features? How are abstract concepts like "freedom", devoid of external perceptible referents, represented in the brain? Here, to address the role of sensory information in the neural representation of concepts, we used fMRI to investigate how people born blind process concepts whose referents are imperceptible to them because of their visual nature ("rainbow", "red"). Activity for these concepts was compared to that of sensorially-perceptible referents ("rain"), classical abstract concepts ("justice") and concrete concepts ("cup"), providing a gradient between fully concrete and fully abstract concepts in the blind. We find that anterior temporal lobe (ATL) responses track concept perceptibility and objecthood: preference for imperceptible object concepts was found in dorsal ATL, for abstract (non-object, non-referential) concepts in lateral ATL, and for perceptible concepts in medial ATL. These findings point to a new division-of-labor among aspects of ATL in representing conceptual properties that are abstract in different ways.

摘要

我们如何在没有感官特征的情况下表示信息?像“自由”这样没有外部可感知参照的抽象概念,在大脑中是如何被表示的?在这里,为了研究感官信息在概念的神经表示中的作用,我们使用 fMRI 来研究天生失明的人如何处理他们由于视觉性质而无法感知的概念的指涉物(“彩虹”、“红色”)。这些概念的活动与可感知的感官参照(“雨”)、经典的抽象概念(“正义”)和具体概念(“杯子”)的活动进行了比较,为盲人提供了一个从完全具体到完全抽象的概念梯度。我们发现,前颞叶(ATL)的反应与概念的可感知性和物体性有关:在背侧 ATL 中发现了对不可感知物体概念的偏好,在外侧 ATL 中发现了对抽象(非物体、非参照)概念的偏好,在中侧 ATL 中发现了对可感知概念的偏好。这些发现表明,ATL 在表示以不同方式抽象的概念属性方面存在新的分工。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/192b/6286313/a26a8fe4b6d7/41467_2018_7574_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验