Brain dynamics of classical psychedelics show paradoxical hierarchical flattening with increased complexity
OpenAlex – December 22, 2024
Source: OpenAlex
Summary
Psychedelics uniquely flatten the brain's functional hierarchy, a crucial insight for Neuroscience and Psychology. Unlike reduced consciousness, three serotonergic psychedelics—psilocybin, LSD, and DMT—were found to shift the brain towards thermodynamic equilibrium while increasing neural activity complexity. This discovery, vital for Cognitive science and Cognitive psychology, and Psychedelics and Drug Studies, suggests a distinct mechanism. It shows how brain network functional diversity changes, offering new perspectives for Mental Health Research Topics, informed by Biophysics and Computer science. This work refines our understanding of consciousness.
Abstract
Despite divergent behavioral and phenomenological profiles, both psychedelic states and reduced states of consciousness have been associated with a flattening of the brain's functional hierarchy. To address this apparent paradox, we developed a more specific definition of hierarchy based on the proximity of the brain to thermodynamic equilibrium and then applied it to investigate the changes to the functional hierarchy elicited by three classical serotonergic psychedelics: psilocybin, lysergic acid diethylamide, and dimethyltryptamine. We found that all three psychedelics consistently induced a global reduction in the functional hierarchy. In contrast to the flattening of the functional hierarchy observed during loss of consciousness, psychedelics displaced the brain towards equilibrium while simultaneously increasing the complexity of neural activity, indicating a unique mechanism linked to specific changes in the configuration and differentiation of resting-state networks. This work showcases how metrics based on statistical mechanics can be used for the specific characterization of different global brain states, contributing to the understanding of consciousness as a collective process emerging from complex neural interactions.