Institute for Learning & Brain Sciences, University of Washington, Seattle, Washington, USA.
Department of Psychology, University of Washington, Seattle, Washington, USA.
Hum Brain Mapp. 2022 Aug 15;43(12):3609-3619. doi: 10.1002/hbm.25871. Epub 2022 Apr 16.
The excellent temporal resolution and advanced spatial resolution of magnetoencephalography (MEG) makes it an excellent tool to study the neural dynamics underlying cognitive processes in the developing brain. Nonetheless, a number of challenges exist when using MEG to image infant populations. There is a persistent belief that collecting MEG data with infants presents a number of limitations and challenges that are difficult to overcome. Due to this notion, many researchers either avoid conducting infant MEG research or believe that, in order to collect high-quality data, they must impose limiting restrictions on the infant or the experimental paradigm. In this article, we discuss the various challenges unique to imaging awake infants and young children with MEG, and share general best-practice guidelines and recommendations for data collection, acquisition, preprocessing, and analysis. The current article is focused on methodology that allows investigators to test the sensory, perceptual, and cognitive capacities of awake and moving infants. We believe that such methodology opens the pathway for using MEG to provide mechanistic explanations for the complex behavior observed in awake, sentient, and dynamically interacting infants, thus addressing core topics in developmental cognitive neuroscience.
脑磁图(MEG)具有出色的时间分辨率和先进的空间分辨率,是研究发育中大脑认知过程背后神经动力学的优秀工具。然而,在使用 MEG 对婴儿群体进行成像时,存在一些挑战。人们一直认为,用 MEG 采集婴儿数据存在许多限制和挑战,这些限制和挑战很难克服。由于这种观念,许多研究人员要么避免进行婴儿 MEG 研究,要么认为为了收集高质量的数据,他们必须对婴儿或实验范式施加限制。在本文中,我们讨论了使用 MEG 对清醒婴儿和幼儿进行成像所特有的各种挑战,并分享了数据收集、获取、预处理和分析的一般最佳实践指南和建议。目前的文章侧重于允许研究人员测试清醒且活动的婴儿的感觉、知觉和认知能力的方法。我们相信,这种方法为使用 MEG 为清醒、有感知力且处于动态相互作用的婴儿所表现出的复杂行为提供机制解释开辟了道路,从而解决了发展认知神经科学的核心主题。