The Data-Processing Multiverse of Event-Related Potentials (ERPs): A Roadmap for the Optimization and Standardization of ERP Processing and Reduction Pipelines
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TLDR
In this paper, a multiverse analysis of a data processing pipeline examines the impact of a large set of different reasonable choices to determine the robustness of effects, such as the effect of different decisions on between-trial standard deviations and between-condition differences (i.e., experimental effects).Citations
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Open and reproducible neuroimaging: From study inception to publication
Guiomar Niso,Rotem Botvinik-Nezer,Stefan Appelhoff,Alejandro de la Vega,Oscar Esteban,Joset A. Etzel,Karolina Finc,Melanie Ganz,Remi Gau,Yaroslav O. Halchenko,Peer Herholz,Agah Karakuzu,David Keator,Christopher J. Markiewicz,Camille Maumet,Cyril Pernet,Franco Pestilli,Nazek Queder,Tina Schmitt,Weronika Sójka,Adina Wagner,Kirstie Whitaker,Jochem W. Rieger +22 more
TL;DR: In this article , the authors provide an integrated overview of community-developed resources that can support collaborative, open, reproducible, replicable, robust and generalizable neuroimaging throughout the entire research cycle from inception to publication.
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Advances in human intracranial electroencephalography research, guidelines and good practices
Manuel R. Mercier,Anne-Sophie Dubarry,François Tadel,Pietro Avanzini,Nikolai Axmacher,Dillan Cellier,Maria Del Vecchio,Liberty S. Hamilton,Dora Hermes,Michael J. Kahana,Robert T. Knight,Anaïs Llorens,Pierre Mégevand,Lucia Melloni,Kai J. Miller,Vitória Piai,Aina Puce,Nick F. Ramsey,Caspar M. Schwiedrzik,Sydney Smith,Arjen Stolk,Nicole C. Swann,Mariska J. Vansteensel,Bradley Voytek,Liang Wang,Jean-Philippe Lachaux,Robert Oostenveld +26 more
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Rhythms in cognition: The evidence revisited
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Navigating the manyverse of skin conductance response quantification approaches - A direct comparison of trough-to-peak, baseline correction, and model-based approaches in Ledalab and PsPM.
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Good scientific practice in EEG and MEG research: Progress and perspectives
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References
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Fitting Linear Mixed-Effects Models Using lme4
TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
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EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme,Scott Makeig +1 more
TL;DR: EELAB as mentioned in this paper is a toolbox and graphic user interface for processing collections of single-trial and/or averaged EEG data of any number of channels, including EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decomposition including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling.
Journal ArticleDOI
lmerTest Package: Tests in Linear Mixed Effects Models
TL;DR: The lmerTest package extends the 'lmerMod' class of the lme4 package, by overloading the anova and summary functions by providing p values for tests for fixed effects, and implementing the Satterthwaite's method for approximating degrees of freedom for the t and F tests.
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Effects of noise letters upon the identification of a target letter in a nonsearch task
TL;DR: In this paper, a 1-sec tachistoscopic exposure, Ss responded with a right or left leverpress to a single target letter from the sets H and K or S and C. The target always appeared directly above the fixation cross.
Book
An Introduction to the Event-Related Potential Technique
TL;DR: In An Introduction to the Event-Related Potential Technique, Steve Luck offers the first comprehensive guide to the practicalities of conducting ERP experiments in cognitive neuroscience and related fields, including affective neuroscience and experimental psychopathology.