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社交学习过程中中脑和隔膜的分层预测误差

Hierarchical prediction errors in midbrain and septum during social learning.

作者信息

Diaconescu Andreea O, Mathys Christoph, Weber Lilian A E, Kasper Lars, Mauer Jan, Stephan Klaas E

机构信息

Translational Neuromodeling Unit, Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.

Laboratory for Social and Neural Systems Research, University of Zurich, Zurich, Switzerland.

出版信息

Soc Cogn Affect Neurosci. 2017 Apr 1;12(4):618-634. doi: 10.1093/scan/nsw171.

Abstract

Social learning is fundamental to human interactions, yet its computational and physiological mechanisms are not well understood. One prominent open question concerns the role of neuromodulatory transmitters. We combined fMRI, computational modelling and genetics to address this question in two separate samples (N = 35, N = 47). Participants played a game requiring inference on an adviser's intentions whose motivation to help or mislead changed over time. Our analyses suggest that hierarchically structured belief updates about current advice validity and the adviser's trustworthiness, respectively, depend on different neuromodulatory systems. Low-level prediction errors (PEs) about advice accuracy not only activated regions known to support 'theory of mind', but also the dopaminergic midbrain. Furthermore, PE responses in ventral striatum were influenced by the Met/Val polymorphism of the Catechol-O-Methyltransferase (COMT) gene. By contrast, high-level PEs ('expected uncertainty') about the adviser's fidelity activated the cholinergic septum. These findings, replicated in both samples, have important implications: They suggest that social learning rests on hierarchically related PEs encoded by midbrain and septum activity, respectively, in the same manner as other forms of learning under volatility. Furthermore, these hierarchical PEs may be broadcast by dopaminergic and cholinergic projections to induce plasticity specifically in cortical areas known to represent beliefs about others.

摘要

社会学习是人类互动的基础,但其计算和生理机制尚未得到充分理解。一个突出的开放性问题涉及神经调节递质的作用。我们结合功能磁共振成像(fMRI)、计算建模和遗传学,在两个独立样本(N = 35,N = 47)中解决这个问题。参与者玩一个游戏,需要推断顾问的意图,其帮助或误导的动机随时间变化。我们的分析表明,关于当前建议有效性和顾问可信度的分层结构化信念更新分别依赖于不同的神经调节系统。关于建议准确性的低层次预测误差(PEs)不仅激活了已知支持“心理理论”的区域,还激活了多巴胺能中脑。此外,腹侧纹状体中的PE反应受儿茶酚-O-甲基转移酶(COMT)基因的Met/Val多态性影响。相比之下,关于顾问忠诚度的高层次PEs(“预期不确定性”)激活了胆碱能隔区。这些发现在两个样本中均得到重复,具有重要意义:它们表明社会学习依赖于分别由中脑和隔区活动编码的分层相关PEs,其方式与波动情况下的其他学习形式相同。此外,这些分层PEs可能由多巴胺能和胆碱能投射传播,以在已知代表对他人信念的皮层区域特异性诱导可塑性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6f1/5390746/b83fc74d9774/nsw171f1.jpg

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