Center for Mind and Brain, University of California, Davis 267 Cousteau Pl, Davis, CA 95618, USA; Department of Human Ecology, University of California, Davis 1 Shields Ave, Davis, CA 95616, USA.
Dev Cogn Neurosci. 2024 Jun;67:101395. doi: 10.1016/j.dcn.2024.101395. Epub 2024 May 24.
Adolescence is a period of normative heightened sensitivity to peer influence. Individual differences in susceptibility to peers is related to individual differences in neural sensitivity, particularly in brain regions that support an increasingly greater orientation toward peers. Despite these empirically-established patterns, the more specific psychosocial and socio-cognitive factors associated with individual differences in neural sensitivity to peer influence are just beginning to gain research attention. Specific features of the factors that contribute to how adolescents process social information can inform understanding of the psychological and neurobiological processes involved in what renders adolescents to be more or less susceptible to peer influences. In this paper, we (1) review the literature about peer, family, and broader contextual influences on sensitivity to peers' positive and negative behaviors, (2) outline components of social information processing theories, and (3) discuss features of these models from the perspectives and social cognitive development and social neuroscience. We identify gaps in the current literature that need to be addressed in order to gain a more comprehensive view of adolescent neural sensitivity to peer influence. We conclude by suggesting how future neuroimaging studies can adopt components of this social information processing model to generate new lines of research.
青春期是对同伴影响高度敏感的正常时期。对同伴的敏感性的个体差异与神经敏感性的个体差异有关,特别是在支持对同伴的关注越来越大的大脑区域。尽管存在这些经验性的模式,但与对同伴影响的神经敏感性的个体差异相关的更具体的心理社会和社会认知因素才刚刚开始引起研究关注。有助于青少年处理社会信息的因素的具体特征可以帮助我们理解涉及到青少年更容易或更不容易受到同伴影响的心理和神经生物学过程。在本文中,我们(1)回顾了关于同伴、家庭和更广泛的背景对同伴积极和消极行为的敏感性的文献,(2)概述了社会信息处理理论的组成部分,(3)从社会认知发展和社会神经科学的角度讨论了这些模型的特征。我们确定了当前文献中的差距,需要解决这些差距,以便更全面地了解青少年对同伴影响的神经敏感性。最后,我们建议未来的神经影像学研究如何采用这种社会信息处理模型的组成部分来产生新的研究方向。