- Tytuł:
- #EEGManyLabs : investigating the replicability of influential EEG experiments
- Autorzy:
-
Mudrik, Liad
Muthuraman, Muthuraman
Zakharov, Ilya
Arvaneh, Mahnaz
Kalenkovich, Evgenii
Vloeberghs, Robin
Bradford, Daniel E.
Welke, Dominik
Hinojosa, Jose A.
Pavlov, Yuri G.
Ehinger, Benedikt
Liesefeld, Heinrich R.
Nilsonne, Gustav
Busch, Niko A.
Ganis, Giorgio
Bland, Amy R.
Bublatzky, Florian
Senderecka, Magdalena
Ladouceur, Cecile D.
Dumas, Guillaume
Johannesson, Magnus
Langer, Nicolas
Beste, Christian
Clayson, Peter E.
Niso, Guiomar
Tognoli, Emmanuelle
Huber-Huber, Christoph
Wessel, Jan R.
Sass, Sarah M.
Adamian, Nika
Appelhoff, Stefan
Dreber, Anna
Karimi-Rouzbahani, Hamid
Pourtois, Gilles
Ruzzoli, Manuela
Oostenveld, Robert
Ocklenburg, Sebastian
Snyder, Joel S.
Verona, Edelyn
MacNamara, Annmarie
van Vugt, Marieke K.
Pernet, Cyril R.
Kulke, Louisa
Neal, Lauren B.
Cruse, Damian
Benwell, Christopher S.Y.
He, Xun
Keil, Andreas
Schaefer, Alexandre
Jack, Bradley N.
Jones, Rhiannon
Tamnes, Christian K.
Czeszumski, Artur
Inzlicht, Michael
Mushtaq, Faisal
Kaltwasser, Laura
Konig, Peter
Luque, David
Kouara, Layla - Opis:
- There is growing awareness across the neuroscience community that the replicability offindings about the relationship between brain activity and cognitive phenomena can beimproved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences,and with the desire to examine some of the foundational findings using electroencephalog-raphy (EEG), we have launched #EEGManyLabs, a large-scale international collaborativereplication effort. Since its discovery in the early 20th century, EEG has had a profound in-fluence on our understanding of human cognition, but there is limited evidence on thereplicability of some of the most highly cited discoveries. After a systematic search and selection process, we have identified 27 of the most influential and continually cited studies inthe field. We plan to directly test the replicability of key findings from 20 of these studies inteams of at least three independent laboratories. The design and protocol of each replicationeffort will be submitted as a Registered Report and peer-reviewed prior to data collection.Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examinewhich findings the community expects to replicate. This project will update our confidence insome of the most influential EEG findings and generate a large open access database that canbe used to inform future research practices. Finally, through this international effort, we hopeto create a cultural shift towards inclusive, high-powered multi-laboratory collaborations.
- Dostawca treści:
- Repozytorium Uniwersytetu Jagiellońskiego
Artykuł