Dopamine neurons drive spatiotemporally heterogeneous striatal dopamine signals during learning.

IF 0.8 Q3 EDUCATION & EDUCATIONAL RESEARCH
Liv Engel, Amy R Wolff, Madelyn Blake, Val L Collins, Sonal Sinha, Benjamin T Saunders
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引用次数: 0

Abstract

Environmental cues, through Pavlovian learning, become conditioned stimuli that invigorate and guide animals toward acquisition of rewards. Dopamine neurons in the ventral tegmental area (VTA) and substantia nigra (SNC) are crucial for this process. Dopamine neurons are embedded in a reciprocally connected network with their striatal targets, the functional organization of which remains poorly understood. Here, we investigated how learning during optogenetic Pavlovian cue conditioning of VTA or SNC dopamine neurons directs cue-evoked behavior and shapes subregion-specific striatal dopamine dynamics. We used a fluorescent dopamine biosensor to monitor dopamine in the nucleus accumbens (NAc) core and shell, dorsomedial striatum (DMS), and dorsolateral striatum (DLS). We demonstrate spatially heterogeneous, learning-dependent dopamine changes across striatal regions. While VTA stimulation evoked robust dopamine release in NAc core, shell, and DMS, cues predictive of this activation preferentially recruited dopamine release in NAc core, starting early in training, and DMS, late in training. Corresponding negative prediction error signals, reflecting a violation in the expectation of dopamine neuron activation, only emerged in the NAc core and DMS, and not the shell. Despite development of vigorous movement late in training, conditioned dopamine signals did not similarly emerge in the DLS, even during Pavlovian conditioning with SNC dopamine neuron activation, which elicited robust DLS dopamine release. Together, our studies show broad dissociation in the fundamental prediction and reward-related information generated by different dopamine neuron populations and signaled by dopamine across the striatum. Further, they offer new insight into how larger-scale plasticity across the striatal network emerges during Pavlovian learning to coordinate behavior.

多巴胺神经元在学习过程中驱动时空异质性纹状体多巴胺信号
环境线索通过巴甫洛夫学习成为条件刺激,刺激并引导动物获取奖励。腹侧被盖区(VTA)和黑质(SNC)中的多巴胺神经元对这一过程至关重要。多巴胺神经元与其纹状体靶点相互连接在一个网络中,其功能组织至今仍鲜为人知。在这里,我们研究了在对VTA或SNC多巴胺神经元进行光遗传巴甫洛夫线索调节时,学习是如何引导线索诱发的行为并塑造纹状体多巴胺亚区特异性动态的。我们使用荧光多巴胺生物传感器监测了伏隔核(NAc)核心和外壳、背内侧纹状体(DMS)和背外侧纹状体(DLS)中的多巴胺。我们证明了多巴胺在纹状体各区域的空间异质性和学习依赖性变化。虽然 VTA 刺激会在 NAc 核心、外壳和 DMS 中诱发强有力的多巴胺释放,但预测这种激活的线索会优先在 NAc 核心(训练早期开始)和 DMS(训练晚期开始)诱发多巴胺释放。相应的负预测误差信号只出现在 NAc 核心和 DMS,而不出现在外壳,这反映了对多巴胺神经元激活的预期出现了偏差。尽管在训练后期出现了剧烈运动,但条件性多巴胺信号并没有在DLS中出现,即使在激活SNC多巴胺神经元的巴甫洛夫条件反射中也是如此,这种条件反射会引起DLS多巴胺的强烈释放。总之,我们的研究表明,不同多巴胺神经元群产生的基本预测和奖赏相关信息以及多巴胺信号在整个纹状体中的广泛分离。此外,这些研究还对巴甫洛夫学习协调行为过程中如何在纹状体网络中出现更大规模的可塑性提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Continuing Higher Education
Journal of Continuing Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.00
自引率
8.30%
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