A social information processing perspective on social connectedness

IF 7.5 1区 医学 Q1 BEHAVIORAL SCIENCES Neuroscience and Biobehavioral Reviews Pub Date : 2024-11-14 DOI:10.1016/j.neubiorev.2024.105945
Grit Hein , Lynn Huestegge , Anne Böckler-Raettig , Lorenz Deserno , Andreas B. Eder , Johannes Hewig , Andreas Hotho , Sarah Kittel-Schneider , Anna Linda Leutritz , Andrea M.F. Reiter , Johannes Rodrigues , Matthias Gamer
{"title":"A social information processing perspective on social connectedness","authors":"Grit Hein ,&nbsp;Lynn Huestegge ,&nbsp;Anne Böckler-Raettig ,&nbsp;Lorenz Deserno ,&nbsp;Andreas B. Eder ,&nbsp;Johannes Hewig ,&nbsp;Andreas Hotho ,&nbsp;Sarah Kittel-Schneider ,&nbsp;Anna Linda Leutritz ,&nbsp;Andrea M.F. Reiter ,&nbsp;Johannes Rodrigues ,&nbsp;Matthias Gamer","doi":"10.1016/j.neubiorev.2024.105945","DOIUrl":null,"url":null,"abstract":"<div><div>Social connectedness (SC) is one of the most important predictors for physical and mental health. Consequently, SC is addressed in an increasing number of studies, providing evidence for the multidimensionality of the construct, and revealing several factors that contribute to individual differences in SC. However, a unified model that can address SC subcomponents is yet missing. Here we take a novel perspective and discuss whether individual differences in SC can be explained by a person’s social information processing profile that represents individual tendencies of how social information is perceived and interpreted and leads to motivated social behavior. After summarizing the current knowledge on SC and core findings from the fields of social perception and mentalizing, social motivation and social action, we derive a working model that links individual stages of social information processing to structural, functional, and qualitative aspects of SC. This model allows for deriving testable hypotheses on the foundations of SC and we outline several suggestions how these aspects can be addressed by future research.</div></div>","PeriodicalId":56105,"journal":{"name":"Neuroscience and Biobehavioral Reviews","volume":"167 ","pages":"Article 105945"},"PeriodicalIF":7.5000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience and Biobehavioral Reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0149763424004147","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Social connectedness (SC) is one of the most important predictors for physical and mental health. Consequently, SC is addressed in an increasing number of studies, providing evidence for the multidimensionality of the construct, and revealing several factors that contribute to individual differences in SC. However, a unified model that can address SC subcomponents is yet missing. Here we take a novel perspective and discuss whether individual differences in SC can be explained by a person’s social information processing profile that represents individual tendencies of how social information is perceived and interpreted and leads to motivated social behavior. After summarizing the current knowledge on SC and core findings from the fields of social perception and mentalizing, social motivation and social action, we derive a working model that links individual stages of social information processing to structural, functional, and qualitative aspects of SC. This model allows for deriving testable hypotheses on the foundations of SC and we outline several suggestions how these aspects can be addressed by future research.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从社会信息处理角度看社会联系。
社会联系(SC)是预测身心健康的最重要因素之一。因此,越来越多的研究对社会联系进行了探讨,为社会联系的多维性提供了证据,并揭示了导致社会联系个体差异的若干因素。然而,目前还没有一个能够解决 SC 子成分的统一模型。在此,我们将从一个新的视角出发,讨论SC的个体差异是否可以用一个人的社会信息处理特征来解释,该特征代表了个体在感知和解释社会信息方面的倾向,并会导致动机性的社会行为。在总结了当前有关 SC 的知识以及社会感知和心智化、社会动机和社会行动等领域的核心发现之后,我们推导出了一个工作模型,该模型将个体的社会信息处理阶段与 SC 的结构、功能和质量方面联系起来。通过这一模型,我们可以推导出有关 SC 基础的可检验假设,并概述了未来研究如何解决这些方面问题的若干建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
14.20
自引率
3.70%
发文量
466
审稿时长
6 months
期刊介绍: The official journal of the International Behavioral Neuroscience Society publishes original and significant review articles that explore the intersection between neuroscience and the study of psychological processes and behavior. The journal also welcomes articles that primarily focus on psychological processes and behavior, as long as they have relevance to one or more areas of neuroscience.
期刊最新文献
Contextualizing predictive minds. First Predict, Then Bond: Rethinking the Function of Mimicry from Prediction to Affiliation in Human and Non-Human Animals. A scoping review of protein biomarkers for schizophrenia: state of progress, underlying biology, and methodological considerations. Dream function and dream amnesia: dissolution of an apparent paradox. Cellular and molecular mechanisms of action of ovarian steroid hormones II: Regulation of sexual behavior in female rodents.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1