Department of Psychology, Florida International University, Miami, FL, USA.
Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Neurosci Biobehav Rev. 2023 Jan;144:104971. doi: 10.1016/j.neubiorev.2022.104971. Epub 2022 Nov 24.
Neuroscientists have sought to identify the underlying neural systems supporting social processing that allow interaction and communication, forming social relationships, and navigating the social world. Through the use of NIMH's Research Domain Criteria (RDoC) framework, we evaluated consensus among studies that examined brain activity during social tasks to elucidate regions comprising the "social brain". We examined convergence across tasks corresponding to the four RDoC social constructs, including Affiliation and Attachment, Social Communication, Perception and Understanding of Self, and Perception and Understanding of Others. We performed a series of coordinate-based meta-analyses using the activation likelihood estimate (ALE) method. Meta-analysis was performed on whole-brain coordinates reported from 864 fMRI contrasts using the NiMARE Python package, revealing convergence in medial prefrontal cortex, anterior cingulate cortex, posterior cingulate cortex, temporoparietal junction, bilateral insula, amygdala, fusiform gyrus, precuneus, and thalamus. Additionally, four separate RDoC-based meta-analyses revealed differential convergence associated with the four social constructs. These outcomes highlight the neural support underlying these social constructs and inform future research on alterations among neurotypical and atypical populations.
神经科学家一直致力于识别支持社交处理的潜在神经系统,这些系统使人们能够进行互动和交流、建立社交关系并在社交世界中导航。通过使用 NIMH 的研究领域标准 (RDoC) 框架,我们评估了在考察社交任务中大脑活动的研究之间的共识,以阐明构成“社交大脑”的区域。我们考察了与 RDoC 四个社交结构(包括归属和依恋、社交沟通、自我感知和理解以及他人感知和理解)相对应的任务之间的收敛性。我们使用激活似然估计 (ALE) 方法进行了一系列基于坐标的荟萃分析。使用 NiMARE Python 包对来自 864 个 fMRI 对比的全脑坐标进行了荟萃分析,结果显示在中前额叶皮层、前扣带皮层、后扣带皮层、颞顶联合区、双侧岛叶、杏仁核、梭状回、楔前叶和丘脑中存在收敛。此外,四项基于 RDoC 的单独荟萃分析揭示了与四个社交结构相关的差异收敛。这些结果突出了这些社交结构的潜在神经支持,并为神经典型和非典型人群中的变化的未来研究提供了信息。