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理解领域通用亲社会行为中的个体差异:一项静息态脑电图研究。

Understanding Individual Differences in Domain-General Prosociality: A Resting EEG Study.

作者信息

Gianotti Lorena R R, Dahinden Franziska M, Baumgartner Thomas, Knoch Daria

机构信息

Department of Social Psychology and Social Neuroscience, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012, Bern, Switzerland.

出版信息

Brain Topogr. 2019 Jan;32(1):118-126. doi: 10.1007/s10548-018-0679-y. Epub 2018 Sep 28.

Abstract

Prosocial behavior is of vital importance for the smooth functioning of society. However, the propensity to behave in a prosocial manner is characterized by vast individual differences. In order to reveal the sources of these differences, some studies have used objective, task-independent neural traits, for instance resting electroencephalography (EEG). Despite providing valuable insights into the neural signatures of several domains of prosociality, each of these studies has only focused on one single domain. Here, we exposed 137 participants to different social dilemma situations in order to obtain a measure of the individuals' domain-general prosociality and recorded multi-channel task-independent, resting EEG. Using a source-localization technique, we found that resting current density within the temporo-parietal junction in two beta bands (beta2 and beta3) was positively associated with domain-general prosociality. This is the first demonstration of neural signatures underlying individual differences in the propensity to behave in a prosocial manner across different social situations.

摘要

亲社会行为对于社会的平稳运转至关重要。然而,亲社会行为的倾向存在着巨大的个体差异。为了揭示这些差异的来源,一些研究使用了客观的、与任务无关的神经特征,例如静息脑电图(EEG)。尽管这些研究为亲社会行为的几个领域的神经特征提供了有价值的见解,但每项研究都只关注了一个单一领域。在这里,我们让137名参与者置身于不同的社会困境情境中,以获得个体的领域通用亲社会性的测量值,并记录了多通道与任务无关的静息EEG。使用源定位技术,我们发现两个β波段(β2和β3)颞顶叶交界处的静息电流密度与领域通用亲社会性呈正相关。这是首次证明在不同社会情境下亲社会行为倾向个体差异背后的神经特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4732/6327080/70168fdc54cf/10548_2018_679_Fig1_HTML.jpg

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