Non-sensory Influences on Auditory Learning and Plasticity
Non-sensory Influences on Auditory Learning and Plasticity
复制标题
DOI：
10.1007/s10162-022-00837-3
复制
发表时间：
2022-03-02
影响因子：
2.4
通讯作者：
Wright，Beverly A.
中科院分区：
文献类型：
--
作者：
Caras，Melissa L.;Happel，Max F. K.;Wright，Beverly A.
区分有规律和无规律的心跳，与不同口音的人交谈，以及为吉他调音，这些都依赖于某种形式的听觉学习。是什么推动了这些依赖经验的变化？越来越多的证据表明非感官影响的重要作用，包括奖励，任务参与，以及社会或语言环境。这篇综述是一系列的贡献，突出了这些非感官因素如何在分子，生理和行为水平上塑造听觉可塑性和学习。我们开始提出证据表明，来自多巴胺能中脑的奖励信号作用于皮质-皮质下网络，以形成听觉皮层神经元的声音诱发反应，促进听觉类别学习，并调节新词及其含义的长期存储。然后，我们讨论了任务参与在听觉感知学习中的作用，并建议自上而下的皮层网络的可塑性介导的听觉皮层和感知灵敏度的学习相关的改善。最后，我们提出的数据，说明社会经验如何影响听觉中脑和前脑的声音诱发活动，以及语言环境如何迅速塑造语音感知。这些来自人类和动物模型的研究结果表明，非感官影响是听觉学习和可塑性的重要调节器，并且通常由共享的神经基质实现。这些原则的应用可以改善临床训练策略，并为提高沟通障碍患者听觉学习能力的治疗方法的发展提供信息。
Distinguishing between regular and irregular heartbeats, conversing with speakers of different accents, and tuning a guitar—all rely on some form of auditory learning. What drives these experience-dependent changes? A growing body of evidence suggests an important role for non-sensory influences, including reward, task engagement, and social or linguistic context. This review is a collection of contributions that highlight how these non-sensory factors shape auditory plasticity and learning at the molecular, physiological, and behavioral level. We begin by presenting evidence that reward signals from the dopaminergic midbrain act on cortico-subcortical networks to shape sound-evoked responses of auditory cortical neurons, facilitate auditory category learning, and modulate the long-term storage of new words and their meanings. We then discuss the role of task engagement in auditory perceptual learning and suggest that plasticity in top-down cortical networks mediates learning-related improvements in auditory cortical and perceptual sensitivity. Finally, we present data that illustrates how social experience impacts sound-evoked activity in the auditory midbrain and forebrain and how the linguistic environment rapidly shapes speech perception. These findings, which are derived from both human and animal models, suggest that non-sensory influences are important regulators of auditory learning and plasticity and are often implemented by shared neural substrates. Application of these principles could improve clinical training strategies and inform the development of treatments that enhance auditory learning in individuals with communication disorders.