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 , 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","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.
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.