默认自我中心主义:一种MVPA方法来重叠自己和他人的社会政治态度。

IF 3.9 2区 医学 Q2 NEUROSCIENCES
B Locke Welborn, Macrina C Dieffenbach, Matthew D Lieberman
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引用次数: 0

摘要

理解他人的社会政治态度是一项至关重要的技能,但支持这种能力的神经机制仍未得到充分研究。本研究使用多变量模式分析来检查默认模式网络(DMN)的活动模式,同时参与者评估自己的态度和他人的态度。分类分析表明,DMN区域的共同模式编码了自己和他人对各种当代社会政治问题的支持。此外,交叉分类分析表明,一个共同的态度编码是在神经水平上实现的。这种共享的信息内容与自己和他人的态度位置之间更大的感知重叠(即态度投射)相关,因此更高的交叉分类准确性与更大的态度投射相对应。因此,本研究确定了在个人和群体态度的社会知觉中自我中心偏见的可能神经基础,并为心理化中的自我/他人重叠提供了额外的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes.

Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes.

Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes.

Default egocentrism: an MVPA approach to overlap in own and others' socio-political attitudes.

Understanding the socio-political attitudes of other people is a crucial skill, yet the neural mechanisms supporting this capacity remain understudied. This study used multivariate pattern analysis to examine patterns of activity in the default mode network (DMN) while participants assessed their own attitudes and the attitudes of other people. Classification analyses indicated that common patterns in DMN regions encode both own and others' support across a variety of contemporary socio-political issues. Moreover, cross-classification analyses demonstrated that a common coding of attitudes is implemented at a neural level. This shared informational content was associated with a greater perceived overlap between own attitude positions and those of others (i.e. attitudinal projection), such that higher cross-classification accuracy corresponded with greater attitudinal projection. This study thus identifies a possible neural basis for egocentric biases in the social perception of individual and group attitudes and provides additional evidence for self/other overlap in mentalizing.

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来源期刊
CiteScore
6.80
自引率
4.80%
发文量
62
审稿时长
4-8 weeks
期刊介绍: SCAN will consider research that uses neuroimaging (fMRI, MRI, PET, EEG, MEG), neuropsychological patient studies, animal lesion studies, single-cell recording, pharmacological perturbation, and transcranial magnetic stimulation. SCAN will also consider submissions that examine the mediational role of neural processes in linking social phenomena to physiological, neuroendocrine, immunological, developmental, and genetic processes. Additionally, SCAN will publish papers that address issues of mental and physical health as they relate to social and affective processes (e.g., autism, anxiety disorders, depression, stress, effects of child rearing) as long as cognitive neuroscience methods are used.
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