#EEGManyLabs: Investigating the replicability of influential EEG experiments

G. Pavlov, Yuri; Adamian, Nika; Appelhoff, Stefan; Arvaneh, Mahnaz; Benwell, Christopher; Beste, Christian; R. Bland, Amy; E. Bradford, Daniel; Bublatzky, Florian; A. Busch, Niko; E. Clayson, Peter; Cruse, Damian; Czeszumski, Artur; Dreber, Anna; Dumas, Guillaume; Ehinger, Benedikt; Ganis, Giorgio; He, Xun; Antonio Hinojosa, José; Huber‐Huber, Christoph; Inzlicht, Michael; N. Jack, Bradley; Johannesson, Magnus; Jones, Rhiannon; Kalenkovich, Evgenii; Kaltwasser, Laura; Karimi-Rouzbahani, Hamid; Keil, Andreas; König, Peter; Kouara, Layla; Kulke, Louisa; D. Ladouceur, Cecile; Langer, Nicolas; R. Liesefeld, Heinrich; Luque, David; MacNamara, Annmarie; Mudrik, Liad; Muthuraman, Muthuraman; Neal, Lauren; Nilsonne, Gustav; Niso, Guiomar; Ocklenburg, Sebastian; Oostenveld, Robert; Pernet, Cyril; Pourtois, Gilles; Ruzzoli, Manuela; Sass, Sarah; Schaefer, Alexandre; Senderecka, Magdalena; S. Snyder, Joel; K. Tamnes, Christian; Tognoli, Emmanuelle; K. van Vugt, Marieke; Verona, Edelyn; Vloeberghs, Robin; Welke, Dominik; R. Wessel, Jan; Zakharov, Ilya; Mushtaq, Faisal

doi:10.1016/j.cortex.2021.03.013

Public

#EEGManyLabs: Investigating the replicability of influential EEG experiments

Published in Cortex • Apr 1, 2021

Authors:

Yuri G. Pavlov

Nika Adamian

Stefan Appelhoff

Abstract

There is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Ins...

Subject

Psychology

Replication (statistics)

Electroencephalography

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