Platek Steven M, Krill Austen L, Wilson Benjamin
Psychology, Georgia Gwinnet College, Lawrenceville, GA 30043, USA.
Neuropsychologia. 2009 Jan;47(1):289-93. doi: 10.1016/j.neuropsychologia.2008.07.018. Epub 2008 Aug 5.
On the basis of Hamilton's (Hamilton, W. D. (1964). The genetical evolution of social behavior I, II. Journal of Theoretical Biology, 7, 17-52) theory of inclusive fitness, self-facial resemblance is hypothesized as a mechanism for self-referent phenotypic matching by which humans can detect kin. To understand the mechanisms underlying pro-sociality toward self-resembling faces, we investigated the neural correlates of implicit trustworthiness ratings for self-resembling faces. Here we show that idiosyncratic trustworthiness ratings of self-resembling faces predict brain activation in the ventral inferior, middle and medial frontal gyri, substrates involved in reward processing. These findings demonstrate that neural reward centers are implicated in evaluating implicit pro-social behaviors toward self-resembling faces. These findings suggest that humans have evolved to use neurocomputational architecture dedicated to face processing and reward evaluation for the differentiation of kin, which drives implicit idiosyncratic affectively regulated social interactions.
基于汉密尔顿(汉密尔顿,W.D.(1964年)。社会行为的遗传进化I,II。《理论生物学杂志》,7,17 - 52)的广义适合度理论,自我面部相似性被假定为一种自我参照表型匹配机制,通过该机制人类能够识别亲属。为了理解对与自己相似面孔产生亲社会行为的潜在机制,我们研究了对与自己相似面孔进行内隐可信度评级的神经关联。在此我们表明,对与自己相似面孔的个性化可信度评级可预测腹侧额下回、额中回和额内侧回的大脑激活,这些区域是参与奖励处理的脑区。这些发现表明,神经奖励中心参与评估对与自己相似面孔的内隐亲社会行为。这些发现表明,人类已经进化出利用专门用于面部处理和奖励评估的神经计算结构来区分亲属,这驱动了内隐的、受情感调节的个性化社会互动。