Monachino A D, Lopez K L, Pierce L J, Gabard-Durnam L J
Northeastern University, 360 Huntington Ave, Boston, MA, United States.
York University, 4700 Keele Street, Toronto, ON, Canada.
Dev Cogn Neurosci. 2022 Oct;57:101140. doi: 10.1016/j.dcn.2022.101140. Epub 2022 Jul 19.
Event-Related Potential (ERP) designs are a common method for interrogating neurocognitive function with electroencephalography (EEG). However, the traditional method of preprocessing ERP data is manual-editing - a subjective, time-consuming processes. A number of automated pipelines have recently been created to address the need for standardization, automation, and quantification of EEG data pre-processing; however, few are optimized for ERP analyses (especially in developmental or clinical populations). We propose and validate the HAPPE plus Event-Related (HAPPE+ER) software, a standardized and automated pre-processing pipeline optimized for ERP analyses across the lifespan. HAPPE+ER processes event-related potential data from raw files through preprocessing and generation of event-related potentials for statistical analyses. HAPPE+ER also includes post-processing reports of both data quality and pipeline quality metrics to facilitate the evaluation and reporting of data processing in a standardized manner. Finally, HAPPE+ER includes post-processing scripts to facilitate validating HAPPE+ER performance and/or comparing to performance of other preprocessing pipelines in users' own data via simulated ERPs. We describe multiple approaches with simulated and real ERP data to optimize pipeline performance and compare to other methods and pipelines. HAPPE+ER software is freely available under the terms of GNU General Public License at https://www.gnu.org/licenses/#GPL.
事件相关电位(ERP)设计是一种通过脑电图(EEG)来探究神经认知功能的常用方法。然而,传统的ERP数据预处理方法是手动编辑——这是一个主观且耗时的过程。最近已经创建了一些自动化流程,以满足对EEG数据预处理的标准化、自动化和量化的需求;然而,很少有针对ERP分析进行优化的(特别是在发育或临床人群中)。我们提出并验证了HAPPE加事件相关(HAPPE+ER)软件,这是一种针对整个生命周期的ERP分析进行优化的标准化自动化预处理流程。HAPPE+ER处理从原始文件中提取的事件相关电位数据,经过预处理并生成用于统计分析的事件相关电位。HAPPE+ER还包括数据质量和流程质量指标的后处理报告,以促进以标准化方式对数据处理进行评估和报告。最后,HAPPE+ER包括后处理脚本,以通过模拟ERP来促进验证HAPPE+ER的性能和/或在用户自己的数据中与其他预处理流程的性能进行比较。我们描述了多种使用模拟和真实ERP数据的方法来优化流程性能,并与其他方法和流程进行比较。HAPPE+ER软件根据GNU通用公共许可证条款可在https://www.gnu.org/licenses/#GPL上免费获取。