What is the best ERP baseline?

What is the best ERP baseline? Should we even remove the baseline? This subject has been debated for several decades now, and it still is. Let's review the subject. 0:00 Introduction 2:41 Average ERP vs. single trials 4:25 Theoretical issues with the ERP model 5:18 Can filtering replace baseline subtraction? 7:54 Source localization and baseline subtraction 9:15 ICA and baseline subtraction 9:46 Baseline subtraction time vs. frequency domain 10:28 Baseline subtraction and statistics 15:30 Baseline vs. filtering References: ------------------ Delorme A. EEG is better left alone. Sci Rep. 2023 Feb 9;13(1):2372. doi: 10.1038/s41598-023-27528-0. PMID: 36759667; PMCID: PMC9911389. https://www.nature.com/articles/s4159... Tanner, D., Norton, J. J., Morgan-Short, K., & Luck, S. J. (2016). On high-pass filter artifacts (they're real) and baseline correction (it's a good idea) in ERP/ERMF analysis. Journal of neuroscience methods, 266, 166–170. https://doi.org/10.1016/j.jneumeth.20... Grandchamp, R., & Delorme, A. (2011). Single-trial normalization for event-related spectral decomposition reduces sensitivity to noisy trials. Frontiers in psychology, 2, 236. https://doi.org/10.3389/fpsyg.2011.00236 Groppe, D. M., Makeig, S., & Kutas, M. (2009). Identifying reliable independent components via split-half comparisons. NeuroImage, 45(4), 1199–1211. https://doi.org/10.1016/j.neuroimage....