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Changes in functional connectivity preserve scale-free neuronal and behavioral dynamics

Anja Rabus, Davor Curic, Victorita E. Ivan, Ingrid M. Esteves, Aaron J. Gruber, Jörn Davidsen

Physical review. E November 2, 2023 Peer reviewed DOI: 10.1103/physreve.108.l052301 via OpenAlex

Summary

The study demonstrates that the brain's ability to transmit information remains robust even when functional connectivity changes significantly. Specifically, the psychedelic compound ibogaine alters the functional connectivity in the retrosplenial cortex of mice but does not affect the scale-free statistics of movement or neuronal activity related to behavior. This suggests that the brain optimizes information transmission despite variations in neural network organization.

Study at a glance

Population mice
Key finding The psychedelic ibogaine alters functional connectivity in the retrosplenial cortex of mice without changing the scale-free statistics of movement and neuronal avalanches.

Abstract

Does the brain optimize itself for storage and transmission of information, and if so, how? The critical brain hypothesis is based in statistical physics and posits that the brain self-tunes its dynamics to a critical point or regime to maximize the repertoire of neuronal responses. Yet, the robustness of this regime, especially with respect to changes in the functional connectivity, remains an unsolved fundamental challenge. Here, we show that both scale-free neuronal dynamics and self-similar features of behavioral dynamics persist following significant changes in functional connectivity. Specifically, we find that the psychedelic compound ibogaine that is associated with an altered state of consciousness fundamentally alters the functional connectivity in the retrosplenial cortex of mice. Yet, the scale-free statistics of movement and of neuronal avalanches among behaviorally related neurons remain largely unaltered. This indicates that the propagation of information within biological neural networks is robust to changes in functional organization of subpopulations of neurons, opening up a new perspective on how the adaptive nature of functional networks may lead to optimality of information transmission in the brain.

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