From EEG to ERP: Implementing FASTER and ISD Methods in Python Using MNE In A General Reliable Automated Preprocessing EEG (GRAPE) Pipeline

This preprint outlines the basic steps and rationale for the construction of GRAPE. This document is intended to serve as a free and open resource for those who want to learn how to preprocess EEG data starting with a single subject. Thus, the code snippets provided here are not meant to be fully reproducible and the reader needs to supplement the code, such as including raw EEG data, for a fully deployable script. The final compiled code for this manuscript can be found in this github repository: https://github.com/ekimluo/GRAPE). Please consult the code to understand usage of GRAPE.