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. 2018 Jun 19;12:355. doi: 10.3389/fnins.2018.00355

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Copyright © 2018 Habermann, Weusmann, Stein and Koenig.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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TANOVA results. Left: P-values (y-axis) for the comparison between the mean ERP maps of each factor level and the interaction for every time point in ms (x-axis). The gray areas mark non-significant time points while the white areas mark periods of significant differences between ERP maps of different factor levels. Right: the four-level interaction (combination of the two main factors) is shown at a significant time point combined in a graph using a state-space representation in order to display the relationships between the factor levels. In this figure, the ERP maps of every single factor level producing an effect are displayed.