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. 2017 Dec 6;7:17060. doi: 10.1038/s41598-017-17339-5

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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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Top Panel: Example of a spatial distribution of gamma power correlations in one couple dyad and one stranger dyad over the entire scalp. Spearman correlation was applied over the continuous gamma power of similar channels for the male and female of each dyad. Correlations are shown separately for couples and strangers and reflect higher correlations in temporal-parietal areas for couples. Plots are constructed by mapping Spearman correlation using the function topoplot from EEGLab⁶⁶. Bottom Panel: Dyadic Correlation Spectral analysis. The continuous Fourier transform of each EEG electrode (Stockwell transform) was averaged across ROIs (occipital, frontal, parietal, and temporoparietal) and correlated with the partner’s. Graph shows the correlations values for every frequency bin averaged across groups (couples, strangers). Significant correlation values were found across the gamma frequency (30–60 HZ) over the temporal-parietal area for couples (Thick blue line).