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Precursors to infant sensorimotor synchronization to speech and non-speech rhythms: A longitudinal study.婴儿对言语和非言语节奏的感觉运动同步的前兆:一项纵向研究。
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Predictive motor activation: Modulated by expectancy or predictability?预测性运动激活:受预期或可预测性调节?
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Oscillatory entrainment to our early social or physical environment and the emergence of volitional control.受我们早期社会或物理环境的影响而产生的震荡同步,以及意志控制的出现。
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在现实环境中研究发育中的大脑:从空中楼阁到脚踏实地。

Studying the Developing Brain in Real-World Contexts: Moving From Castles in the Air to Castles on the Ground.

作者信息

Wass Sam V, Goupil Louise

机构信息

Department of Psychology, University of East London, London, United Kingdom.

LPNC, Université Grenoble Alpes/CNRS, Grenoble, France.

出版信息

Front Integr Neurosci. 2022 Jul 13;16:896919. doi: 10.3389/fnint.2022.896919. eCollection 2022.

DOI:10.3389/fnint.2022.896919
PMID:35910339
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9326302/
Abstract

Most current research in cognitive neuroscience uses standardized non-ecological experiments to study the developing brain. But these approaches do a poor job of mimicking the real-world, and thus can only provide a distorted picture of how cognitive operations and brain development unfold outside of the lab. Here we consider future research avenues which may lead to a better appreciation of how developing brains dynamically interact with a complex real-world environment, and how cognition develops over time. We raise several problems faced by current mainstream methods in the field, before briefly reviewing novel promising approaches that alleviate some of these issues. First, we consider research that examines perception by measuring entrainment between brain activity and temporal patterns in naturalistic stimuli. Second, we consider research that examines our ability to parse our continuous experience into discrete events, and how this ability develops over time. Third, we consider the role of children as active agents in selecting what they sample from the environment from one moment to the next. Fourth, we consider new approaches that measure how mutual influences between children and others are instantiated in suprapersonal brain networks. Finally, we discuss how we may reduce adult biases when designing developmental studies. Together, these approaches have great potential to further our understanding of how the developing brain learns to process information, and to control complex real-world behaviors.

摘要

当前认知神经科学的大多数研究都使用标准化的非生态实验来研究发育中的大脑。但这些方法在模拟现实世界方面表现不佳,因此只能提供一幅扭曲的画面,展示认知操作和大脑发育在实验室之外是如何展开的。在此,我们探讨未来的研究途径,这些途径可能有助于更好地理解发育中的大脑如何与复杂的现实世界环境动态互动,以及认知如何随时间发展。我们提出了该领域当前主流方法所面临的几个问题,然后简要回顾了一些有前景的新方法,这些方法缓解了其中的一些问题。首先,我们考虑通过测量大脑活动与自然主义刺激中的时间模式之间的同步性来研究感知的研究。其次,我们考虑研究如何将我们连续的体验解析为离散事件,以及这种能力如何随时间发展。第三,我们考虑儿童作为积极主体在从一个时刻到下一个时刻选择从环境中采样的内容方面所起的作用。第四,我们考虑新的方法,这些方法测量儿童与他人之间的相互影响如何在超个人大脑网络中体现。最后,我们讨论在设计发育研究时如何减少成人偏差。总之,这些方法有很大潜力进一步加深我们对发育中的大脑如何学习处理信息以及控制复杂现实世界行为的理解。