References#

Papers behind the methods EEGPrep implements. Each entry can be copied as APA or BibTeX.

EEGPrep

Delorme, A., Ranganath, S., Kothe, C., Jaiswal, A., Makeig, S., & Aristimunha, B. (2026). EEGPrep: a validated Python implementation of the EEGLAB preprocessing pipeline. arXiv:2607.16647. arXiv | OpenAlex

EEGLAB

Delorme, A., & Makeig, S. (2004). EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9-21. PubMed | OpenAlex

Artifact Subspace Reconstruction (ASR)

Mullen, T. R., Kothe, C. A. E., Chi, Y. M., Ojeda, A., Kerth, T., Makeig, S., Jung, T.-P., & Cauwenberghs, G. (2015). Real-time neuroimaging and cognitive monitoring using wearable dry EEG. IEEE Transactions on Biomedical Engineering, 62(11), 2553-2567. PubMed | OpenAlex

ICLabel

Delorme, A., Truong, D., Pion-Tonachini, L., & Makeig, S. (2024). Automatic EEG independent component classification using ICLabel in Python. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 4137-4141. IEEE Xplore | OpenAlex

ICA Artifact Rejection

Delorme, A., Sejnowski, T., & Makeig, S. (2007). Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage, 34(4), 1443-1449. PubMed | OpenAlex

EEG-BIDS

Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., & Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. PubMed | OpenAlex