Recording and analyzing high-density event-related potentials with infants using the Geodesic sensor net
Recording and analyzing high-density event-related potentials with infants using the Geodesic sensor net
复制标题
DOI：
10.1207/s15326942dn1903_4
复制
发表时间：
2001-01-01
影响因子：
1.5
通讯作者：
Csibra, G
中科院分区：
文献类型：
--
作者：
Johnson, MH;de Haan, M;Csibra, G
本文概述了测地线传感器网络系统用于婴儿高密度事件相关电位 (ERP) 记录的用途。讨论了该系统应用于婴儿时的一些优点和缺点。首先，我们说明可以以与传统（低密度）ERP 方法观察到的质量相当的质量记录婴儿的高密度数据。其次，我们讨论通过应用源分离和定位程序来利用更多可用空间信息的方法。我们特别关注一种最新的源分离方法——独立成分分析（ICA）的应用。最后，我们表明源定位可以应用于婴儿高密度数据，尽管这需要采用许多有待验证的假设。将来，随着源分离算法的改进，我们建议单试验或单受试者分析可能变得可行。
This article provides an overview of the use of the Geodesic sensor net system for high-density event-related potential (ERP) recording in infants. Some advantages and disadvantages of the system, as applied to infants, are discussed. First, we illustrate that high-density data can be recorded from infants at comparable quality to that observed with conventional (low density) ERP methods. Second, we discuss ways to utilize the greater spatial information available by applying source separation and localization procedures. In particular, we focus on the application of one recent source separation method, Independent Component Analysis (ICA). Finally, we show that source localization can be applied to infant high-density data, although this entails adopting a number of assumptions that remain to be verified. In the future, with improved source separation algorithms, we suggest that single-trial or single-subject analyses may become feasible.