![]() However, even “traditional,” highly controlled ERP datasets often contain a hidden mix of overlapping activity (e.g., from stimulus onsets, involuntary microsaccades, or button presses) and it is helpful or even necessary to disentangle these components for a correct interpretation of the results. Examples of paradigms where systematic temporal overlap variations and low-level confounds between conditions cannot be avoided include combined electroencephalogram (EEG)/eye-tracking experiments during natural vision, fast multisensory stimulation experiments, and mobile brain/body imaging studies. ![]() In addition, the recorded neural activity is typically modulated by numerous covariates, which influence the measured responses in a linear or non-linear fashion. As a result, electrophysiological responses from subsequent events often overlap with each other. PeerJ 7: e7838 Įlectrophysiological research with event-related brain potentials (ERPs) is increasingly moving from simple, strictly orthogonal stimulation paradigms towards more complex, quasi-experimental designs and naturalistic situations that involve fast, multisensory stimulation and complex motor behavior. Unfold: an integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. 3 Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany DOI 10.7717/peerj.7838 Published Accepted Received Academic Editor Jafri Abdullah Subject Areas Neuroscience, Anatomy and Physiology, Psychiatry and Psychology, Statistics, Computational Science Keywords Overlap correction, Generalized additive model, Non-linear modeling, Regression splines, Regularization, Regression-ERP, Linear modeling of EEG, ERP, EEG, Open source toolbox Copyright © 2019 Ehinger and Dimigen Licence This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed.
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