School of Psychology and Neuroscience, University of Glasgow, Glasgow G12 8QB, United Kingdom.
Centre for Cognitive Neuroimaging, University of Glasgow, Glasgow G12 8QB, United Kingdom.
J Neurosci. 2022 Nov 30;42(48):9030-9044. doi: 10.1523/JNEUROSCI.0375-22.2022. Epub 2022 Oct 24.
To date, social and nonsocial decisions have been studied largely in isolation. Consequently, the extent to which social and nonsocial forms of decision uncertainty are integrated using shared neurocomputational resources remains elusive. Here, we address this question using simultaneous electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) in healthy human participants (young adults of both sexes) and a task in which decision evidence in social and nonsocial contexts varies along comparable scales. First, we identify time-resolved build-up of activity in the EEG, akin to a process of evidence accumulation (EA), across both contexts. We then use the endogenous trial-by-trial variability in the slopes of these accumulating signals to construct parametric fMRI predictors. We show that a region of the posterior-medial frontal cortex (pMFC) uniquely explains trial-wise variability in the process of evidence accumulation in both social and nonsocial contexts. We further demonstrate a task-dependent coupling between the pMFC and regions of the human valuation system in dorso-medial and ventro-medial prefrontal cortex across both contexts. Finally, we report domain-specific representations in regions known to encode the early decision evidence for each context. These results are suggestive of a domain-general decision-making architecture, whereupon domain-specific information is likely converted into a "common currency" in medial prefrontal cortex and accumulated for the decision in the pMFC. Little work has directly compared social-versus-nonsocial decisions to investigate whether they share common neurocomputational origins. Here, using combined electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) and computational modeling, we offer a detailed spatiotemporal account of the neural underpinnings of social and nonsocial decisions. Specifically, we identify a comparable mechanism of temporal evidence integration driving both decisions and localize this integration process in posterior-medial frontal cortex (pMFC). We further demonstrate task-dependent coupling between the pMFC and regions of the human valuation system across both contexts. Finally, we report domain-specific representations in regions encoding the early, domain-specific, decision evidence. These results suggest a domain-general decision-making architecture, whereupon domain-specific information is converted into a common representation in the valuation system and integrated for the decision in the pMFC.
迄今为止,社交和非社交决策在很大程度上是孤立研究的。因此,社交和非社交形式的决策不确定性在多大程度上使用共享的神经计算资源整合仍然难以捉摸。在这里,我们使用健康人类参与者(男女青年)的同时脑电图(EEG)-功能磁共振成像(fMRI)和一项任务来解决这个问题,在该任务中,社交和非社交背景下的决策证据沿着类似的尺度变化。首先,我们在两个背景下识别出类似于证据积累(EA)过程的 EEG 中随时间推移的活动的建立。然后,我们使用这些积累信号斜率的内源性试验间变异性来构建参数 fMRI 预测器。我们表明,后内侧额皮质(pMFC)中的一个区域可以唯一解释社交和非社交背景下证据积累过程中的试验间变异性。我们进一步证明,在两个背景下,pMFC 与背内侧和腹内侧前额叶皮层的人类估值系统区域之间存在任务依赖性耦合。最后,我们报告了在每个背景下已知编码早期决策证据的区域中的特定于域的表示。这些结果表明存在一种通用的决策制定架构,在该架构中,特定于域的信息可能被转换为内侧前额叶皮层中的“共同货币”,并在 pMFC 中为决策积累。很少有工作直接比较社交与非社交决策,以调查它们是否共享共同的神经计算起源。在这里,我们使用组合脑电图(EEG)-功能磁共振成像(fMRI)和计算建模,提供了社交和非社交决策的神经基础的详细时空描述。具体来说,我们确定了驱动这两个决策的可比较的时间证据整合机制,并将此整合过程定位在后内侧额皮质(pMFC)中。我们进一步证明了在两个背景下,pMFC 和人类估值系统区域之间的任务依赖性耦合。最后,我们报告了在编码早期、特定于域的决策证据的区域中的特定于域的表示。这些结果表明存在一种通用的决策制定架构,在该架构中,特定于域的信息被转换为估值系统中的共同表示,并在 pMFC 中为决策整合。