Competing neural representations of choice shape evidence accumulation in humans.
Competing neural representations of choice shape evidence accumulation in humans.
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DOI：
10.7554/elife.85223
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发表时间：
2023-10-11
期刊：
影响因子：
7.7
通讯作者：
Verstynen T
中科院分区：
文献类型：
--
作者：
Bond K;Rasero J;Madan R;Bahuguna J;Rubin J;Verstynen T
在动态环境中做出适应性选择需要灵活的决策策略。之前，我们展示了结果偶然性的变化如何改变决定决策政策的证据积累过程。通过计算机实验生成预测，我们展示了皮质-基底神经节-丘脑（CBGT）回路如何可行地实现决策政策的转变。当行动偶然性发生变化时，多巴胺能的可塑性会在行动表象内部和表象之间重定向力量平衡，将证据流从一种选择转移到另一种选择。当行为表征之间的竞争最激烈时，证据积累的速度最低。这一预测在人类参与者的体内实验中得到了验证，使用功能磁共振成像（fMRI），结果表明：(1)引起的血流动力学反应可以可靠地预测试验明智的选择；(2)动作表征之间的竞争，使用分类器模型进行测量，并通过证据积累速率的变化进行跟踪。这些结果描绘了CBGT回路如何管理和适应哺乳动物证据积累过程的整体图景。
Making adaptive choices in dynamic environments requires flexible decision policies. Previously, we showed how shifts in outcome contingency change the evidence accumulation process that determines decision policies. Using in silico experiments to generate predictions, here we show how the cortico-basal ganglia-thalamic (CBGT) circuits can feasibly implement shifts in decision policies. When action contingencies change, dopaminergic plasticity redirects the balance of power, both within and between action representations, to divert the flow of evidence from one option to another. When competition between action representations is highest, the rate of evidence accumulation is the lowest. This prediction was validated in in vivo experiments on human participants, using fMRI, which showed that (1) evoked hemodynamic responses can reliably predict trial-wise choices and (2) competition between action representations, measured using a classifier model, tracked with changes in the rate of evidence accumulation. These results paint a holistic picture of how CBGT circuits manage and adapt the evidence accumulation process in mammals.