Information parity increases on functional brain networks under influence of a psychedelic substance
This re-analysis (n=7) found that ingesting ayahuasca (100-120ml) led to an increase in the average information parity in the brain networks of individuals, particularly in the limbic system and frontal cortex regions. By comparing resting-state functional brain networks of individuals before and after ingesting ayahuasca, the study utilized complex network theory and calculated pairwise information parity to quantify functional, statistical symmetries between brain region connectivity.
Authors
- Fernanda Palhano-Fontes
- Draulio Araújo
Published
Abstract
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.
Research Summary of 'Information parity increases on functional brain networks under influence of a psychedelic substance'
Introduction
Understanding how different states of consciousness map onto brain activity is a central challenge in neuroscience. Network theory has been productive in this area because emergent behaviours depend on topology, and prior work has linked topological features to brain dynamics and criticality. The present study asks whether statistical symmetries in functional brain networks change during a psychedelic state, and whether those changes can be captured by a measure that compares the similarity of influences between pairs of regions. Viol and colleagues set out to evaluate changes in ‘‘information parity’’ on resting-state functional brain networks before and after ingestion of the psychedelic brew ayahuasca. Information parity is framed as a pairwise, topology-aware information measure: it summarises how similar the distributions of nodes at successive neighbourhood radii are for two nodes, and thus how much knowing the topological profile of one node reduces uncertainty about the other. The authors hypothesise that ayahuasca will alter these pairwise statistical symmetries and that such changes may relate to network redundancy and resilience.
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Study Details
- Study Typeindividual
- Journal
- Compound
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- APA Citation
Viol, A., Viswanathan, G. M., Soldatkina, O., Palhano-Fontes, F., Onias, H., de Araujo, D., & Hövel, P. (2023). Information parity increases on functional brain networks under influence of a psychedelic substance. Journal of Physics: Complexity, 4(1), 01LT02. https://doi.org/10.1088/2632-072X/acc22b
References (9)
Papers cited by this study that are also in Blossom
Viol, A., Palhano-Fontes, F., Onias, H. et al. · Scientific Reports (2017)
Carhart-Harris, R. L., Erritzoe, D., Williams, T. et al. · PNAS (2012)
Alonso, J. N., Romero, S., Mañanas, M. A. et al. · International Journal of Neuropsychopharmacology (2015)
De Araujo, D. B., Ribeiro, S., Cecchi, G. A. et al. · Human Brain Mapping (2011)
Palhano-Fontes, F., Barreto, D., Onias, H. et al. · Psychological Medicine (2018)
Dos Santos, R. G., Osório, F. L., Crippa, J. A. et al. · Therapeutic Advances in Psychopharmacology (2016)
Carhart-Harris, R. L., Bolstridge, &. M., Day, C. M. J. et al. · Psychopharmacology (2017)
Carhart-Harris, R. L., Friston, K. J. · Pharmacological Reviews (2019)
Luppi, A. I., Carhart-Harris, R. L., Roseman, L. et al. · NeuroImage (2021)
Cited By (2)
Papers in Blossom that reference this study
Shinozuka, K., Tewarie, P. K. B., Luppi, A. et al. · Biorxiv (2024)
Girn, M., Roseman, L., Bernhardt, B. et al. · Biorxiv (2020)
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