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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Temporally Dissociable Contributions of Human Medial Prefrontal Subregions to Reward-Guided Learning
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Temporally Dissociable Contributions of Human Medial Prefrontal Subregions to Reward-Guided Learning

机译:人类内侧前额叶次区域对指导学习的暂时性贡献

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摘要

In decision making, dorsal and ventral medial prefrontal cortex show a sensitivity to key decision variables, such as reward prediction errors. It is unclear whether these signals reflect parallel processing of a common synchronous input to both regions, for example from mesocortical dopamine, or separate and consecutive stages in reward processing. These two perspectives make distinct predictions about the relative timing of feedback-related activity in each of these regions, a question we address here. To reconstruct the unique temporal contribution of dorsomedial (dmPFC) and ventromedial prefrontal cortex (vmPFC) to simultaneously measured EEG activity in human subjects, we developed a novel trialwise fMRI-informed EEG analysis that allows dissociating correlated and overlapping sources. We show that vmPFC uniquely contributes a sustained activation profile shortly after outcome presentation, whereas dmPFC contributes a later and more peaked activation pattern. This temporal dissociation is expressed mainly in the alpha band for a vmPFC signal, which contrasts with a theta based dmPFC signal. Thus, our data show reward-related vmPFC and dmPFC responses have distinct time courses and unique spectral profiles, findings that support distinct functional roles in a reward-processing network.
机译:在决策过程中,背侧和腹侧内侧前额叶皮层对关键决策变量(例如奖励预测错误)表现出敏感性。目前尚不清楚这些信号是否反映了对两个区域(例如来自中皮层多巴胺)的公共同步输入的并行处理,还是反映了奖励处理中的独立连续阶段。这两个观点对每个区域中与反馈相关的活动的相对时间做出了不同的预测,这是我们在此要解决的问题。为了重建背囊(dmPFC)和腹膜前额叶皮层(vmPFC)对人类受试者中同时测量的脑电活动的独特时间贡献,我们开发了一种新颖的基于fMRI的试验性脑电图分析,可以分离相关和重叠的来源。我们显示vmPFC在结果呈现后不久就独特地贡献了持续的激活特征,而dmPFC则贡献了更高且更高的激活模式。该时间解离主要表示为vmPFC信号的alpha波段,这与基于theta的dmPFC信号形成对比。因此,我们的数据显示,与奖赏相关的vmPFC和dmPFC响应具有不同的时程和独特的频谱特征,这些发现支持奖赏处理网络中的不同功能。

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