Liechti, M. E. | Search bioRxiv

bioRxiv2026

Psychedelics Restructure the Global Workspace of Consciousness

Psychoactive drugs profoundly alter consciousness, but the neural mechanisms by which they do so remain poorly understood. Global workspace theory may provide a framework for investigating these mechanisms. The global workspace, a candidate neural substrate of consciousness, is a set of brain regions that integrate and disseminate information to the rest of the brain. According to a recent model, the integrators, or 'gateways,' are characterized by synergistic interactions with other brain regions, while the disseminators, or 'broadcasters,' exhibit redundant interactions. Here, we measured the effects of various psychoactive drugs, including 'classic' psychedelics like LSD, mescaline, and psilocybin, 'atypical' psychedelics (entactogens) like MDMA, and the stimulant D-amphetamine, on the global workspace. In a secondary analysis of resting-state functional magnetic resonance imaging (fMRI) data on all these drugs, we found that classic psychedelics are associated with significant increases in the number of gateways in the frontoparietal control and dorsal attention networks. Meanwhile, MDMA and amphetamine reduced the number of gateways in the visual and somatomotor networks. The regional topographies of both synergy and redundancy distinguished classic psychedelics from other drugs. Finally, drugs producing similar changes in synergy and redundancy also produced similar profiles of subjective effects. Overall, our findings provide the first direct evidence that psychedelics may alter the synergistic and redundant interactions that characterize the global workspace of consciousness.

neuroscience↗

bioRxiv2022

The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity

Psychedelics have emerged as promising candidate treatments for various psychiatric conditions, and given their clinical potential, there is a need to identify biomarkers that underlie their effects. Here, we investigate the neural mechanisms of lysergic acid diethylamide (LSD) using regression dynamic causal modelling (rDCM), a novel technique that assesses whole-brain effective connectivity (EC) during resting-state functional magnetic resonance imaging (fMRI). We modelled data from two randomized, placebo-controlled, double-blind, cross-over trials, in which 45 participants were administered 100g LSD and placebo in two resting-state fMRI sessions. We compared EC against whole-brain functional connectivity (FC) using classical statistics and machine learning methods. Multivariate analyses of EC parameters revealed widespread increases in interregional connectivity and reduced self-inhibition under LSD compared to placebo, with the notable exception of primarily decreased interregional connectivity and increased self-inhibition in occipital brain regions. This finding suggests that LSD perturbs the Excitation/Inhibition balance of the brain. Moreover, random forests classified LSD vs. placebo states based on FC and EC with comparably high accuracy (FC: 85.56%, EC: 91.11%) suggesting that both EC and FC are promising candidates for clinically-relevant biomarkers of LSD effects.

neuroscience↗