A Generalizable Multivariate Brain Pattern for Interpersonal Guilt
A Generalizable Multivariate Brain Pattern for Interpersonal Guilt
复制标题
人际内疚的可概括的多元大脑模式
DOI：
10.1093/cercor/bhz326
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发表时间：
2020-06-01
期刊：
影响因子：
3.7
通讯作者：
Wager, Tor D.
中科院分区：
文献类型：
--
作者：
Yu, Hongbo;Koban, Leonie;Wager, Tor D.
当我们伤害了别人时感到内疚是亲社会的一个重要方面，但它的神经生物学基础是难以捉摸的。尽管大脑活动的多变量模式显示出开发与特定情绪相关的大脑测量方法的希望，但目前还不太清楚，大脑活动是否可以被训练成检测更复杂的社交情绪状态，如内疚。在这里，我们在两个独立的神经成像数据集上发现了一个分布式的内疚相关脑信号(GRBs)，这些数据利用人际互动来唤起内疚。在交叉验证的训练样本(N=24；中国人)和独立的测试样本(N=19；瑞士人)中，该特征区分了与人际内疚相关的条件和密切匹配的对照条件。然而，它对观察或经历的疼痛没有反应，也没有回忆起内疚。此外，伽玛暴与社会情感过程的其他大脑特征只显示出微弱的空间相似性，进一步表明了它所代表的大脑状态的特殊性。这些发现为开发社会情绪的生物标记物提供了一步，可以作为研究健康和临床人群中与内疚相关的大脑过程的重要工具。
Feeling guilty when we have wronged another is a crucial aspect of prosociality, but its neurobiological bases are elusive. Although multivariate patterns of brain activity show promise for developing brain measures linked to specific emotions, it is less clear whether brain activity can be trained to detect more complex social emotional states such as guilt. Here, we identified a distributed guilt-related brain signature (GRBS) across two independent neuroimaging datasets that used interpersonal interactions to evoke guilt. This signature discriminated conditions associated with interpersonal guilt from closely matched control conditions in a cross-validated training sample (N = 24; Chinese population) and in an independent test sample (N=19; Swiss population). However, it did not respond to observed or experienced pain, or recalled guilt. Moreover, the GRBS only exhibited weak spatial similarity with other brain signatures of social-affective processes, further indicating the specificity of the brain state it represents. These findings provide a step toward developing biological markers of social emotions, which could serve as important tools to investigate guilt-related brain processes in both healthy and clinical populations.