What Is the Role of Thalamostriatal Circuits in Learning Vocal Sequences?

What Is the Role of Thalamostriatal Circuits in Learning Vocal Sequences?
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DOI:
10.3389/fncir.2021.724858
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发表时间:
2021
影响因子:
3.5
通讯作者:
Roberts TF
Roberts TF
中科院分区:
医学3区
文献类型:
--
作者:
Xiao L;Roberts TF

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基底神经节(BG)回路整合来自皮质、丘脑和中脑的感觉和运动相关信息,以指导运动序列的学习和产生。鸟鸣声,像语言一样,是由精确排序的声音元素组成的。在发育过程中学习歌曲序列依赖于X区,鸣禽BG的内侧纹状体中的发声相关区域。X区接收来自皮质样苍白球歌唱回路和中脑多巴胺能回路的输入,并将投射发送到丘脑。最近的研究表明,丘脑回路也会向X区域发送大量的投射。在这里,我们概述了一个门控强化学习模型的X区如何使用丘脑纹状体输入直接歌曲学习传达的信号。综合最近的哺乳动物和鸣禽文献的概念进展,我们假设,丘脑纹状体通路传递的信号与歌曲音节的起始和偏移,并通过调节胆碱能中间神经元(ChIs)影响纹状体回路的可塑性。我们认为,来自丘脑的音节序列相关的声音运动信息驱动X区ChIs活动的精确定时暂停。当与并发皮质纹状体和多巴胺能输入整合时,该回路有助于调节中型棘神经元(MSN)的可塑性和音节序列的学习。我们讨论了新的方法,可以应用于测试这个模型的核心思想,以及如何相关的见解可以提供一个框架,了解BG电路在学习运动序列的功能。
Basal ganglia (BG) circuits integrate sensory and motor-related information from the cortex, thalamus, and midbrain to guide learning and production of motor sequences. Birdsong, like speech, is comprised of precisely sequenced vocal elements. Learning song sequences during development relies on Area X, a vocalization related region in the medial striatum of the songbird BG. Area X receives inputs from cortical-like pallial song circuits and midbrain dopaminergic circuits and sends projections to the thalamus. It has recently been shown that thalamic circuits also send substantial projections back to Area X. Here, we outline a gated-reinforcement learning model for how Area X may use signals conveyed by thalamostriatal inputs to direct song learning. Integrating conceptual advances from recent mammalian and songbird literature, we hypothesize that thalamostriatal pathways convey signals linked to song syllable onsets and offsets and influence striatal circuit plasticity via regulation of cholinergic interneurons (ChIs). We suggest that syllable sequence associated vocal-motor information from the thalamus drive precisely timed pauses in ChIs activity in Area X. When integrated with concurrent corticostriatal and dopaminergic input, this circuit helps regulate plasticity on medium spiny neurons (MSNs) and the learning of syllable sequences. We discuss new approaches that can be applied to test core ideas of this model and how associated insights may provide a framework for understanding the function of BG circuits in learning motor sequences.
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