当前位置: X-MOL 学术Cereb. Cortex › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex.
Cerebral Cortex ( IF 3.7 ) Pub Date : 2020-02-28 , DOI: 10.1093/cercor/bhaa017
Pablo Billeke 1 , Tomas Ossandon 2, 3 , Marcela Perrone-Bertolotti 4, 5 , Philippe Kahane 6 , Julien Bastin 7 , Karim Jerbi 8, 9, 10 , Jean-Philippe Lachaux 11 , Pablo Fuentealba 2
Affiliation  

Adaptive behavior requires the comparison of outcome predictions with actual outcomes (e.g., performance feedback). This process of performance monitoring is computed by a distributed brain network comprising the medial prefrontal cortex (mPFC) and the anterior insular cortex (AIC). Despite being consistently co-activated during different tasks, the precise neuronal computations of each region and their interactions remain elusive. In order to assess the neural mechanism by which the AIC processes performance feedback, we recorded AIC electrophysiological activity in humans. We found that the AIC beta oscillations amplitude is modulated by the probability of performance feedback valence (positive or negative) given the context (task and condition difficulty). Furthermore, the valence of feedback was encoded by delta waves phase-modulating the power of beta oscillations. Finally, connectivity and causal analysis showed that beta oscillations relay feedback information signals to the mPFC. These results reveal that structured oscillatory activity in the anterior insula encodes performance feedback information, thus coordinating brain circuits related to reward-based learning.

中文翻译:

人类前脑岛编码性能反馈并将预测误差传递给内侧前额叶皮层。

适应性行为需要将结果预测与实际结果(例如,绩效反馈)进行比较。这个性能监控过程是由一个分布式大脑网络计算的,该网络包括内侧前额叶皮层 (mPFC) 和前岛叶皮层 (AIC)。尽管在不同的任务中始终被共同激活,但每个区域的精确神经元计算及其相互作用仍然难以捉摸。为了评估 AIC 处理性能反馈的神经机制,我们记录了人类的 AIC 电生理活动。我们发现 AIC beta 振荡幅度受给定上下文(任务和条件难度)的性能反馈价(正或负)的概率调制。此外,反馈的价态是由 delta 波对 β 振荡的功率进行相位调制来编码的。最后,连通性和因果分析表明,β 振荡将反馈信息信号传递给 mPFC。这些结果表明,前脑岛中的结构化振荡活动编码了表现反馈信息,从而协调了与基于奖励的学习相关的大脑回路。
更新日期:2020-02-28
down
wechat
bug