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. 2017 Jul 31;7:6875. doi: 10.1038/s41598-017-07262-0

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© The Author(s) 2017

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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Electrophysiological results and statistical comparison of LAURA source estimations between FF-I and FF-C over significant TANOVA time interval (N400). (A) Group-averaged (n = 20) event related potential (ERP) waveforms of the two experimental conditions (FF-C and FF-I), superimposed across the 110 recording channels (e1–e110). Black: FF-I; red: FF-C. (B) Global scalp electric field analyses: statistical analysis of global electric field topography (topographic analysis of variance, TANOVA). Black area indicates time interval of significant differences (p < 0.05; duration ≥20 ms) of global spatial dissimilarity index (DISS). (C) Significant TANOVA time interval (424–496 ms after S2 onset). All significant voxels are colored (t ₍₁₉₎ > 2.09/< −2.09, p < 0.05): positive t values (red color) indicate higher current source densities in FF-I than in FF-C; negative t values (blue color) indicate higher current source densities in FF-C than in FF-I. LAURA solutions are rendered on MNI152 template brain (left hemisphere on the left side).