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. 2019 Dec 27;9:20255. doi: 10.1038/s41598-019-56600-x

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Time-frequency power contrasts between context constraint conditions within the beta band sensor cluster. Time-frequency plots are averaged across sensors that were identified by the cluster-based permutation statistics of the beta frequency band (16–20 Hz). The dashed line marks the onset of the target word. The rectangle indicates the time-window of the respective cluster, and the beta frequency band. Lower right figure shows the F statistics of the main effect of context constraints across frequencies, averaged within the time window [−500 ms, 0 ms]. The area under the curve shows the pre-defined beta frequency range used for cluster-based analysis (16–20 Hz). For this cluster (over frontal sensors) the effect of context constraint is strongest in the beta range (16–18 Hz) and in the lower alpha range (8–10 Hz).