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神经重整研究中的挑战与方法。

Challenges and Approaches in the Study of Neural Entrainment.

机构信息

Department of Neuroscience, Brown University, Providence, Rhode Island 02912.

Université Paris Cité, Institut Pasteur, AP-HP, Inserm, Fondation Pour l'Audition, Institut de l'Audition, IHU reConnect, Paris F-75012, France.

出版信息

J Neurosci. 2024 Oct 2;44(40):e1234242024. doi: 10.1523/JNEUROSCI.1234-24.2024.

Abstract

When exposed to rhythmic stimulation, the human brain displays rhythmic activity across sensory modalities and regions. Given the ubiquity of this phenomenon, how sensory rhythms are transformed into neural rhythms remains surprisingly inconclusive. An influential model posits that endogenous oscillations entrain to external rhythms, thereby encoding environmental dynamics and shaping perception. However, research on neural entrainment faces multiple challenges, from ambiguous definitions to methodological difficulties when endogenous oscillations need to be identified and disentangled from other stimulus-related mechanisms that can lead to similar phase-locked responses. Yet, recent years have seen novel approaches to overcome these challenges, including computational modeling, insights from dynamical systems theory, sophisticated stimulus designs, and study of neuropsychological impairments. This review outlines key challenges in neural entrainment research, delineates state-of-the-art approaches, and integrates findings from human and animal neurophysiology to provide a broad perspective on the usefulness, validity, and constraints of oscillatory models in brain-environment interaction.

摘要

当人体大脑暴露于有节奏的刺激下时,会在不同感觉模态和区域显示出有节奏的活动。鉴于这种现象无处不在,感觉节律如何转化为神经节律仍然令人惊讶地没有定论。一个有影响力的模型假设内源性振荡与外部节奏同步,从而对环境动态进行编码并塑造感知。然而,神经同步的研究面临着多个挑战,从定义不明确到需要识别内源性振荡并将其与其他可能导致类似锁相响应的与刺激相关的机制区分开来的方法上的困难。然而,近年来已经出现了克服这些挑战的新方法,包括计算建模、动力系统理论的见解、复杂的刺激设计以及神经心理学障碍的研究。本综述概述了神经同步研究中的关键挑战,描述了最新的方法,并整合了来自人类和动物神经生理学的研究结果,为大脑与环境相互作用中振荡模型的有用性、有效性和限制提供了广泛的视角。

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