Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Diagonal Las Torres 2640, Peñalolén, Santiago de Chile, Chile.
University of Sydney Business School, Darlington, Australia.
Sci Rep. 2023 Jul 25;13(1):12048. doi: 10.1038/s41598-023-38244-0.
Social adaptation arises from the interaction between the individual and the social environment. However, little empirical evidence exists regarding the relationship between social contact and social adaptation. We propose that loneliness and social networks are key factors explaining social adaptation. Sixty-four healthy subjects with no history of psychiatric conditions participated in this study. All participants completed self-report questionnaires about loneliness, social network, and social adaptation. On a separate day, subjects underwent a resting state fMRI recording session. A hierarchical regression model on self-report data revealed that loneliness and social network were negatively and positively associated with social adaptation. Functional connectivity (FC) analysis showed that loneliness was associated with decreased FC between the fronto-amygdalar and fronto-parietal regions. In contrast, the social network was positively associated with FC between the fronto-temporo-parietal network. Finally, an integrative path model examined the combined effects of behavioral and brain predictors of social adaptation. The model revealed that social networks mediated the effects of loneliness on social adaptation. Further, loneliness-related abnormal brain FC (previously shown to be associated with difficulties in cognitive control, emotion regulation, and sociocognitive processes) emerged as the strongest predictor of poor social adaptation. Findings offer insights into the brain indicators of social adaptation and highlight the role of social networks as a buffer against the maladaptive effects of loneliness. These findings can inform interventions aimed at minimizing loneliness and promoting social adaptation and are especially relevant due to the high prevalence of loneliness around the globe. These findings also serve the study of social adaptation since they provide potential neurocognitive factors that could influence social adaptation.
社会适应源于个体与社会环境的相互作用。然而,关于社会接触与社会适应之间的关系,实证证据很少。我们提出孤独感和社交网络是解释社会适应的关键因素。本研究纳入了 64 名无精神病史的健康受试者。所有参与者均完成了孤独感、社交网络和社会适应的自评问卷。在另一天,受试者接受了静息态 fMRI 记录。基于自评数据的分层回归模型显示,孤独感和社交网络与社会适应呈负相关和正相关。功能连接(FC)分析表明,孤独感与额眶部和额顶叶区域之间的 FC 降低有关。相比之下,社交网络与额颞顶叶网络之间的 FC 呈正相关。最后,整合路径模型检验了社会适应的行为和大脑预测因子的综合效应。该模型表明,社交网络介导了孤独感对社会适应的影响。此外,与认知控制、情绪调节和社会认知过程困难相关的孤独相关异常脑 FC(先前已显示与这些困难相关)是预测社会适应不良的最强指标。研究结果为社会适应的大脑指标提供了新的见解,并强调了社交网络作为缓解孤独感的不良影响的缓冲作用。这些发现为旨在减少孤独感和促进社会适应的干预措施提供了信息,特别是考虑到孤独感在全球范围内的高患病率。这些发现也有助于社会适应的研究,因为它们提供了可能影响社会适应的潜在神经认知因素。