Artifact rejection is a critical process in data analysis, particularly in fields like neuroscience and signal processing, where it involves identifying and removing non-biological or non-physiological signals that can distort the interpretation of data. This ensures the accuracy and reliability of the analysis by focusing solely on the relevant biological or physiological signals.