{"title":"Mapping the mentalizing brain: An ALE meta-analysis to differentiate the representation of social scenes and ages on theory of mind","authors":"Runchen Gan , Yidan Qiu , Jiajun Liao , Yuting Zhang , Jingyi Wu , Xiaoqi Peng , Tatia Mei-chun Lee , Ruiwang Huang","doi":"10.1016/j.neubiorev.2024.105918","DOIUrl":null,"url":null,"abstract":"<div><div>Theory of mind (ToM) involves understanding others' mental states and relies on brain regions like the temporoparietal junction (TPJ) and medial prefrontal cortex (mPFC). This meta-analytic review categorizes ToM studies into six sub-components across three pairs: (1) Theory of collective mind (ToCM) and individualized theory of mind (iToM), (2) Social intention ToM and private intention ToM, and (3) ToM in adults and ToM in children. We conducted coordinate-based activation likelihood estimation (ALE) analyses and meta-analytic connectivity modeling (MACM) for each sub-component. We found that the ToM components utilized in social or group situations were associated with both the dorsomedial PFC (dmPFC) and right superior temporal sulcus (STS), whereas the ToM components focused on personal concentration were associated with both the lateral PFC and the left STS. The coactivation patterns for the group and age sub-component pairs showed significant spatial overlap with the language networks. These findings indicate that ToM is a multidimensional construct that is related to distinct functional networks for processing each of the ToM sub-components.</div></div>","PeriodicalId":56105,"journal":{"name":"Neuroscience and Biobehavioral Reviews","volume":"167 ","pages":"Article 105918"},"PeriodicalIF":7.5000,"publicationDate":"2024-10-09","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/S0149763424003877","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
Theory of mind (ToM) involves understanding others' mental states and relies on brain regions like the temporoparietal junction (TPJ) and medial prefrontal cortex (mPFC). This meta-analytic review categorizes ToM studies into six sub-components across three pairs: (1) Theory of collective mind (ToCM) and individualized theory of mind (iToM), (2) Social intention ToM and private intention ToM, and (3) ToM in adults and ToM in children. We conducted coordinate-based activation likelihood estimation (ALE) analyses and meta-analytic connectivity modeling (MACM) for each sub-component. We found that the ToM components utilized in social or group situations were associated with both the dorsomedial PFC (dmPFC) and right superior temporal sulcus (STS), whereas the ToM components focused on personal concentration were associated with both the lateral PFC and the left STS. The coactivation patterns for the group and age sub-component pairs showed significant spatial overlap with the language networks. These findings indicate that ToM is a multidimensional construct that is related to distinct functional networks for processing each of the ToM sub-components.
心智理论(ToM)涉及理解他人的心理状态,依赖于颞顶叶交界处(TPJ)和内侧前额叶皮层(mPFC)等脑区。本荟萃分析综述将ToM研究分为三对六个子部分:(1)集体心智理论(ToCM)和个性化心智理论(iToM);(2)社会意向ToM和私人意向ToM;以及(3)成人ToM和儿童ToM。我们对每个子成分进行了基于坐标的激活似然估计(ALE)分析和元分析连接建模(MACM)。我们发现,在社会或群体情境中使用的 ToM 成分与背内侧 PFC(dmPFC)和右侧颞上沟(STS)相关,而专注于个人专注力的 ToM 成分与外侧 PFC 和左侧 STS 相关。群体和年龄子成分对的共激活模式与语言网络有显著的空间重叠。这些研究结果表明, ToM 是一种多维结构,与处理 ToM 各子成分的不同功能网络相关。
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.