Social context modulates multibrain broadband dynamics and functional brain-to-brain coupling in the group of mice

Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2022.12.29.522176v1?rss=1
Authors: Lee, J., Kwak, D., Lee, G. U., Kim, C. Y., Park, S. H., Choi, J. H., Lee, S. Q., Choe, H. K.
Abstract:
Although mice are social animals, studies that explore the simultaneously recorded neural activities of multiple mice, especially in a social setting, are still lacking. In this study, we simultaneously recorded local field potential (LFP) signals in the dorsomedial prefrontal cortex (dmPFC) from up to four mice. The brain activities of the mice were measured in two contradicting conditions - freely interacting in a group or being individually separated. We found that social context and the locomotive states predominately modulate the entire LFP structure. Power spectral density (PSD) estimate and spectrogram of LFP signals showed a broadband modulation; lower frequency bands--delta ( less than 4Hz), theta (4-7Hz), and alpha (8-12Hz) power were highly correlated to each other and anti-correlated with gamma and high gamma ( greater than 30Hz) power. We calculated the high-to-low-power ratio (HLR) and found that HLR was higher when the mice were in a group than were separated. The HLR was also higher when they were active--whether or not they were moving. The mice in the group showed higher HLR in any locomotive states. We then analyzed whether social context can be divided into sub-contexts. Notably, the aggregation of animals, called huddling, decreased social context-induced increase in HLR. Multibrain analyses of HLR indicated that the mice in the group displayed high cross-correlation to each other, indicating interbrain synchrony. Then we examined whether there is any directional relationship between HLR from pairs of mice. A majority of dyad selected within the group of mice showed unilateral precedence of HLR by Granger causality analysis, comprising a hierarchical social structure based on a directionality of influence. Overall, this study shows the importance of the social environment in brain dynamics and emphasizes the value of simultaneous multibrain recording for researching social behaviors and their neural correlates.
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