Computing the Social Brain Connectome Across Systems and States
Computing the Social Brain Connectome Across Systems and States
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DOI：
10.1093/cercor/bhx121
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发表时间：
2018-07-01
期刊：
影响因子：
3.7
通讯作者：
Bzdok, Danilo
中科院分区：
文献类型：
--
作者：
Alcala-Lopez, Daniel;Smallwood, Jonathan;Bzdok, Danilo
社交技能可能来自不同神经处理级别之间的相互作用。然而，社会神经科学被分割成高度专业化、很少交叉引用的主题。本研究试图通过对社会认知能力的神经活动元分析得出社会大脑定义来进行系统的协调。社交大脑的特征是元分析连接模型，评估以任务为中心的大脑状态中的共激活，以及评估无任务大脑状态中的相关性的生理波动。网络聚类提出了一种功能分离，分为（1）低级感觉、（2）边缘、（3）中级和（4）高级联想神经回路，这些神经回路共同调节各种社会现象。功能分析表明，没有任何大脑区域或网络专门致力于社会过程。最后，假定的镜像神经元系统的节点在任务期间一致地交叉连接，并且与具体模拟系统而不是抽象模拟系统更紧密地耦合。这些第一步可能有助于重新整合社会和情感科学的专业研究议程。
Social skills probably emerge from the interaction between different neural processing levels. However, social neuroscience is fragmented into highly specialized, rarely cross-referenced topics. The present study attempts a systematic reconciliation by deriving a social brain definition from neural activity meta-analyses on social-cognitive capacities. The social brain was characterized by meta-analytic connectivity modeling evaluating coactivation in task-focused brain states and physiological fluctuations evaluating correlations in task-free brain states. Network clustering proposed a functional segregation into (1) lower sensory, (2) limbic, (3) intermediate, and (4) high associative neural circuits that together mediate various social phenomena. Functional profiling suggested that no brain region or network is exclusively devoted to social processes. Finally, nodes of the putative mirror-neuron system were coherently cross-connected during tasks and more tightly coupled to embodied simulation systems rather than abstract emulation systems. These first steps may help reintegrate the specialized research agendas in the social and affective sciences.