Pupil Dynamics Reflect Behavioral Choice and Learning in a Go/NoGo Tactile Decision-Making Task in Mice.

Pupil Dynamics Reflect Behavioral Choice and Learning in a Go/NoGo Tactile Decision-Making Task in Mice.
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DOI:
10.3389/fnbeh.2016.00200
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发表时间:
2016
影响因子:
3
通讯作者:
Margolis DJ
Margolis DJ
中科院分区:
医学3区
文献类型:
--
作者:
Lee CR;Margolis DJ

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眼睛的瞳孔会经历与认知努力、运动活动和情绪状态相关的直径动态变化,可以用来指示哺乳动物物种的大脑状态。最近在头部固定的小鼠身上的研究已经将唤醒相关的瞳孔动力学与整体神经活动以及特定神经元群体的活动联系起来。然而,目前还不清楚小鼠的瞳孔动力学如何报告行为任务的一次又一次的表现,以及如何在更长的时间尺度上随着学习而变化。当小鼠学习执行Go/NoGo触觉决策任务时,我们纵向测量了瞳孔动力学。小鼠学会了区分呈现给胡须的两种纹理,一种是响应Go纹理的舔(Hit试验),另一种是响应NoGo纹理的不舔(正确拒绝试验,CR)。特征的瞳孔动力学与行为选择有关:舔之前和舔舔期间的大幅度的瞳孔扩张伴随着击中和假警报(FA)反应,而较小的幅度扩张伴随着CR反应。随着学习,依赖于选择的瞳孔动力学变得更加明显,包括在HIT和FA试验中更大的幅度扩张,以及在HIT和CR试验中更早的起效扩张。CR试验中也出现了更明显的狭窄。此外,随着学习的进行,瞳孔动力学对行为选择的预测越来越多,准确率超过80%。我们的结果表明,瞳孔动力学反映了头部固定小鼠的行为选择和学习,并对理解与瞳孔连接的神经回路中与决策和学习相关的神经元活动具有重要意义。
The eye’s pupil undergoes dynamic changes in diameter associated with cognitive effort, motor activity and emotional state, and can be used to index brain state across mammalian species. Recent studies in head-fixed mice have linked arousal-related pupil dynamics with global neural activity as well as the activity of specific neuronal populations. However, it has remained unclear how pupil dynamics in mice report trial-by-trial performance of behavioral tasks, and change on a longer time scale with learning. We measured pupil dynamics longitudinally as mice learned to perform a Go/NoGo tactile decision-making task. Mice learned to discriminate between two textures presented to the whiskers by licking in response to the Go texture (Hit trial) or withholding licking in response to the NoGo texture (Correct Reject trial, CR). Characteristic pupil dynamics were associated with behavioral choices: large-amplitude pupil dilation prior to and during licking accompanied Hit and False Alarm (FA) responses, while smaller amplitude dilation followed by constriction accompanied CR responses. With learning, the choice-dependent pupil dynamics became more pronounced, including larger amplitude dilations in both Hit and FA trials and earlier onset dilations in Hit and CR trials. A more pronounced constriction was also present in CR trials. Furthermore, pupil dynamics predicted behavioral choice increasingly with learning to greater than 80% accuracy. Our results indicate that pupil dynamics reflect behavioral choice and learning in head-fixed mice, and have implications for understanding decision- and learning-related neuronal activity in pupil-linked neural circuits.
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