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#EEGManyLabs: Investigating the Replicability of Influential EEG Experiments

Investigating the replicability of influential EEG experiments
Authors: Yuri G. Pavlov; Nika Adamian; Stefan Appelhoff; Mahnaz Arvaneh; Christopher Benwell; Christian Beste; Amy Bland; +52 Authors

#EEGManyLabs: Investigating the Replicability of Influential EEG Experiments

Abstract

There is growing awareness across the neuroscience community that the replicability of findings on the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardized analysis pipelines. Inspired by efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalography (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound influence on our understanding of human cognition, but there is limited evidence on the replicability 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 in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort 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 examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations.

Countries
Germany, Germany, Sweden, Poland, Spain, Netherlands, Germany, Belgium, Belgium, Russian Federation, Italy, United Kingdom, United Kingdom
Keywords

ddc:004, DYNAMICS, PREDICTION, NEUROSCIENCES, 1702 Cognitive Sciences, 150, name=Neuropsychology and Physiological Psychology, /dk/atira/pure/subjectarea/asjc/2800/2805, Social Sciences, REPRODUCIBILITY OF RESULTS, ELECTROENCEPHALOGRAM, cognitive neuroscience, MAGNITUDE, Cognition, REPRODUCIBILITY, open science, Psychology, EEG, Psychology, Experimental, name=Experimental and Cognitive Psychology, Many labs, HUMAN, HUMANS, Experimental Psychology, Electroencephalography, name=Cognitive Neuroscience, NEUROSCIENCE, RELIABILITY, ELECTROENCEPHALOGRAPHY, 5204 Cognitive and computational psychology, Open science, Life Sciences & Biomedicine, Behavioral Sciences, ERP, replication, HUMAN EXPERIMENT, 330, COGNITIVE NEUROSCIENCE, Replication, FORECASTING, Humans, ARTICLE, MANY LABS, Science & Technology, /dk/atira/pure/subjectarea/asjc/3200/3206, /dk/atira/pure/subjectarea/asjc/3200/3205, COMPONENTS, ATTENTION, Neurosciences, Reproducibility of Results, MOTIVATION, Cognitive neuroscience; EEG; ERP; Many labs; Open science; Replication, Cognitive neuroscience, CONTROLLED STUDY, OPEN SCIENCE, 1701 Psychology, 5202 Biological psychology, SAMPLE-SIZE, REPLICATION, 3209 Neurosciences, COGNITION, many labs, Neurosciences & Neurology, 1109 Neurosciences, REFLECTS

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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