Journal of Physics: Complexity (Jan 2023)

Information parity increases on functional brain networks under influence of a psychedelic substance

  • Aline Viol,
  • Gandhimohan M Viswanathan,
  • Oleksandra Soldatkina,
  • Fernanda Palhano-Fontes,
  • Heloisa Onias,
  • Draulio de Araujo,
  • Philipp Hövel

DOI
https://doi.org/10.1088/2632-072X/acc22b
Journal volume & issue
Vol. 4, no. 1
p. 01LT02

Abstract

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The physical basis of consciousness is one of the most intriguing open questions that contemporary science aims to solve. By approaching the brain as an interactive information system, complex network theory has greatly contributed to understand brain process in different states of mind. We study a non-ordinary state of mind by comparing resting-state functional brain networks of individuals in two different conditions: before and after the ingestion of the psychedelic brew Ayahuasca. In order to quantify the functional, statistical symmetries between brain region connectivity, we calculate the pairwise information parity of the functional brain networks. Unlike the usual approach to quantitative network analysis that considers only local or global scales, information parity instead quantifies pairwise statistical similarities over the entire network structure. We find an increase in the average information parity on brain networks of individuals under psychedelic influences. Notably, the information parity between regions from the limbic system and frontal cortex is consistently higher for all the individuals while under the psychedelic influence. These findings suggest that the resemblance of statistical influences between pair of brain regions activities tends to increase under Ayahuasca effects. This could be interpreted as a mechanism to maintain the network functional resilience.

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