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EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data.

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Title: EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data.
Authors: Lodema, D. Yorben1 (AUTHOR) y.lodema@outlook.com, van Dellen, Herman J.1 (AUTHOR), de Haan, Willem2 (AUTHOR), van Hest, Margot1 (AUTHOR), Hillebrand, Arjan3,4,5 (AUTHOR), van Dellen, Edwin1,6 (AUTHOR)
Source: PLoS Computational Biology. 3/2/2026, Vol. 22 Issue 3, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 3/2/2026, Vol. 22 Issue 3, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192032767
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        Value: 10.1371/journal.pcbi.1014043
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      – TitleFull: EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data.
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              Text: 3/2/2026
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