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

机译:理解领域一般亲社会的个体差异:一项静息的脑电图研究

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摘要

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.
机译:亲社会行为对于社会的平稳运转至关重要。但是,以亲社会方式行事的倾向具有巨大的个体差异。为了揭示这些差异的根源,一些研究使用了客观的,与任务无关的神经性状,例如静息脑电图(EEG)。尽管提供了对亲社会的多个领域的神经特征的有价值的见解,但是这些研究中的每一项仅集中于一个领域。在这里,我们将137名参与者暴露于不同的社会困境中,以便获得对个人领域普遍亲和力的衡量标准,并记录多渠道任务独立的静息EEG。使用源定位技术,我们发现两个β波段(beta2和beta3)在颞顶叶交界处的静息电流密度与领域一般亲缘关系正相关。这是神经签名的第一个证明,表明潜在的个体差异会在不同的社会情况下以亲社会的方式表现出来。

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