绘制心灵景观:空间和道德概念的共同神经编码

IF 4.5 2区 医学 Q1 NEUROIMAGING
Jing Wang , Miao Qian , Qing Cai
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引用次数: 0

摘要

像正义这样的抽象概念并不直接与我们的感官或运动经验联系在一起,但它们构成了我们知识的重要组成部分。一个长期存在的问题是,受生存压力影响的大脑是如何对这些抽象概念进行编码的。这项研究调查了纵向空间表征与大脑中的道德概念编码(“好是向上的,坏是向下的”)之间的关系。研究发现,纵向位置加工和道德语义引发的特征激活模式,使学习到的上下神经区分能够推广到道德和不道德概念的神经特征,反之亦然,表明两个概念域之间存在共同的神经特征。大多数纵向道德隐喻表征独立于愉快和不愉快情感的编码,表明纵向空间表征的特殊性,不能归因于任意大小或极性的一般表征。尽管如此,道德编码并不仅仅依赖于垂直空间信息,因为一个词的道德也可以从非空间区域的神经特征中解码出来。这些发现强调了空间隐喻关联和特定领域信息在道德概念的神经表征中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping the mind’s landscape: Common neural encoding for spatial and morality concepts
Abstract concepts such as justice are not directly tied to our sensory or motor experiences, yet they constitute an essential part of our knowledge. A longstanding question is how the brain, shaped by survival pressures, encodes these abstract concepts. This study investigated how vertical spatial representations relate to moral concept encoding in the brain (“good is up; bad is down”). We found that vertical positional processing and moral semantics elicited characteristic activation patterns, which enabled the learned neural distinctions between up and down to be generalized to decode the neural signatures of moral and immoral concepts, and vice versa, suggesting shared neural signatures between the two concept domains. Most of the vertical metaphorical representations of morality were independent of the encoding of pleasant vs. unpleasant affect, indicating the specificity of the vertical spatial representation that could not be attributed to the generic representation of arbitrary magnitude or polarity. Nonetheless, morality encoding did not rely solely on vertical spatial information, in that the morality of a word could also be decoded from neural signatures in non-spatial areas. These findings highlight both the spatial metaphorical associations and the domain-specific information in the neural representation of moral concepts.
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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