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. 2019 Mar 8;10:449. doi: 10.3389/fpsyg.2019.00449

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Copyright © 2019 Müller, Wendt, Kollmeier, Debener and Brand.

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(s) 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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Neural tracking of speech averaged across participants. Blue: slow speech; red: fast speech; solid lines: SVO; dashed lines: OVS; dotted lines: ambOVS. (A) Shows the averaged cross-correlations with the 95% confidence intervals between the speech-onset envelopes and the EEG signal. (B) Shows the cross-correlations with the corresponding 95% confidence intervals collapsed across sentence structures. The results in (A,B) were averaged over 19 participants and averaged over the 45 electrodes which were common for both significant clusters. The three components P1_crosscorr, N1_crosscorr, and P2_crosscorr are marked. (C) Shows the topographical plots of t-values for the two significant clusters calculated with the cluster-based permutation procedure. Time lags at which the slow and fast speech differed significantly are indicated by black lines below the corresponding time intervals and topographical plots.