Lodema, D. Y., van Dellen, H. J., de Haan, W., van Hest, M., Hillebrand, A., & van Dellen, E. (2026). EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data. PLoS Computational Biology, 22(3), 1. https://doi.org/10.1371/journal.pcbi.1014043
Chicago Style (17th ed.) CitationLodema, D. Yorben, Herman J. van Dellen, Willem de Haan, Margot van Hest, Arjan Hillebrand, and Edwin van Dellen. "EEG-Pype: An Accessible MNE-Python Pipeline with Graphical User Interface for Preprocessing and Analysis of Resting-state Electroencephalography Data." PLoS Computational Biology 22, no. 3 (2026): 1. https://doi.org/10.1371/journal.pcbi.1014043.
MLA (9th ed.) CitationLodema, D. Yorben, et al. "EEG-Pype: An Accessible MNE-Python Pipeline with Graphical User Interface for Preprocessing and Analysis of Resting-state Electroencephalography Data." PLoS Computational Biology, vol. 22, no. 3, 2026, p. 1, https://doi.org/10.1371/journal.pcbi.1014043.