Managing EEG studies: How to prepare and what to do once data collection has begun.

In this paper, we provide guidance for the organization and implementation of EEG studies. This work was inspired by our experience conducting a large‐scale, multi‐site study, but many elements could be applied to any EEG project. Section 1 focuses on study activities that take place before data collection begins. Topics covered include: establishing and training study teams, considerations for task design and piloting, setting up equipment and software, development of formal protocol documents, and planning communication strategy with all study team members. Section 2 focuses on what to do once data collection has already begun. Topics covered include: (1) how to effectively monitor and maintain EEG data quality, (2) how to ensure consistent implementation of experimental protocols, and (3) how to develop rigorous preprocessing procedures that are feasible for use in a large‐scale study. Links to resources are also provided, including sample protocols, sample equipment and software tracking forms, sample code, and tutorial videos (to access resources, please visit: https://osf.io/wdrj3/). Large‐scale EEG studies are desirable given their statistical power and generalizability; however, their preparation and implementation are a non‐trivial challenge. In this paper, we provide recommendations for efficiently collecting high‐quality data from large numbers of participants (which are applicable to smaller studies as well). In Section 1, we focus on recommendations for before data collection has begun. In Section 2, we focus on recommendations for once the study is underway. [ABSTRACT FROM AUTHOR]