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社会脑容量与老年人的入度社交网络规模相关。

Social brain volume is associated with in-degree social network size among older adults.

机构信息

Department of Psychology, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul, South Korea.

Department of Sociology, University of Wisconsin-Madison, Madison, WI, USA.

出版信息

Proc Biol Sci. 2018 Jan 31;285(1871). doi: 10.1098/rspb.2017.2708.

Abstract

The social brain hypothesis proposes that large neocortex size evolved to support cognitively demanding social interactions. Accordingly, previous studies have observed that larger orbitofrontal and amygdala structures predict the size of an individual's social network. However, it remains uncertain how an individual's social connectedness reported by other people is associated with the social brain volume. In this study, we found that a greater in-degree network size, a measure of social ties identified by a subject's social connections rather than by the subject, significantly correlated with a larger regional volume of the orbitofrontal cortex, dorsomedial prefrontal cortex and lingual gyrus. By contrast, out-degree size, which is based on an individual's self-perceived connectedness, showed no associations. Meta-analytic reverse inference further revealed that regional volume pattern of in-degree size was specifically involved in social inference ability. These findings were possible because our dataset contained the social networks of an entire village, i.e. a global network. The results suggest that the in-degree aspect of social network size not only confirms the previously reported brain correlates of the social network but also shows an association in brain regions involved in the ability to infer other people's minds. This study provides insight into understanding how the social brain is uniquely associated with sociocentric measures derived from a global network.

摘要

社会脑假说提出,大脑新皮层的扩大是为了支持认知要求高的社会互动。因此,先前的研究观察到,更大的眶额皮质和杏仁核结构预测了个体社交网络的规模。然而,目前还不清楚个体的社交联系程度与社会脑容量之间是如何相关的。在这项研究中,我们发现,更大的入度网络规模(一种通过个体的社交关系而不是个体自身来确定的社交纽带的衡量标准)与眶额皮质、背内侧前额皮质和舌回的区域体积显著相关。相比之下,基于个体自我感知的连接程度的出度规模则没有相关性。元分析反向推理进一步表明,入度规模的区域体积模式与社会推理能力有关。这些发现之所以成为可能,是因为我们的数据集包含了整个村庄的社交网络,即一个全局网络。研究结果表明,社交网络规模的入度方面不仅证实了先前报道的社交网络的大脑相关性,还显示了与推断他人心理能力相关的大脑区域的关联。本研究深入了解了社会大脑如何与源自全局网络的以自我为中心的社交指标独特相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bd8/5805955/68aa55991f4f/rspb20172708-g1.jpg

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