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在成本效益决策过程中,额叶皮质和基底神经节对奖励、努力和选择的多层次编码。

Multi-level encoding of reward, effort, and choice across the frontal cortex and basal ganglia during cost-benefit decision-making.

作者信息

Härmson Oliver, Grennan Isaac, Perry Brook, Toth Robert, McNamara Colin G, Denison Timothy, Cagnan Hayriye, Manohar Sanjay G, Walton Mark E, Sharott Andrew

机构信息

Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; Department of Experimental Psychology, University of Oxford, Oxford, UK.

Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

出版信息

Cell Rep. 2025 Feb 25;44(2):115209. doi: 10.1016/j.celrep.2024.115209. Epub 2025 Jan 22.

Abstract

Adaptive value-guided decision-making requires weighing up the costs and benefits of pursuing an available opportunity. Though neurons across frontal cortical-basal ganglia circuits have been repeatedly shown to represent decision-related parameters, it is unclear whether and how this information is coordinated. To address this question, we performed large-scale single-unit recordings simultaneously across 5 medial/orbital frontal and basal ganglia regions as rats decided whether to pursue varying reward payoffs available at different effort costs. Single neurons encoding combinations of decision variables (reward, effort, and choice) were represented within all recorded regions. Coactive cell assemblies, ensembles of neurons that repeatedly coactivated within short time windows (<25 ms), represented the same decision variables despite the members often having diverse individual coding properties. Together, these findings demonstrate a multi-level encoding structure for cost-benefit computations where individual neurons are coordinated into larger assemblies that can represent task variables independently of their constituent components.

摘要

适应性价值引导的决策需要权衡追求现有机会的成本和收益。尽管额叶皮质-基底神经节回路中的神经元已被反复证明可表征与决策相关的参数,但尚不清楚该信息是否以及如何进行协调。为了解决这个问题,我们在大鼠决定是否追求不同努力成本下可得的不同奖励回报时,同时在5个内侧/眶额和基底神经节区域进行了大规模单单元记录。编码决策变量(奖励、努力和选择)组合的单个神经元存在于所有记录区域内。共同激活的细胞集群,即在短时间窗口(<25毫秒)内反复共同激活的神经元集合,尽管其成员通常具有不同的个体编码特性,但仍表征相同的决策变量。总之,这些发现证明了成本效益计算的多层次编码结构,其中单个神经元被协调成更大的集合,这些集合可以独立于其组成成分来表征任务变量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/894b/11860760/3d0d76ee3aca/fx1.jpg

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