bioRxiv Science⌕ Search

bioRxiv · 10.1101/517847

Serotonergic Psychedelics LSD & Psilocybin Increase theFractal Dimension of Cortical Brain Activity in Spatial and Temporal Domains

Abstract

Psychedelic drugs, such as psilocybin and LSD, represent unique tools for researchers in-vestigating the neural origins of consciousness. Currently, the most compelling theories of how psychedelics exert their effects is by increasing the complexity of brain activity and moving the system towards a critical point between order and disorder, creating more dynamic and complex patterns of neural activity. While the concept of criticality is of central importance to this theory, few of the published studies on psychedelics investigate it directly, testing instead related measures such as algorithmic complexity or Shannon entropy. We propose using the fractal dimension of functional activity in the brain as a measure of complexity since findings from physics suggest that as a system organizes towards criticality, it tends to take on a fractal structure. We tested two different measures of fractal dimension, one spatial and one temporal, using fMRI data from volunteers under the influence of both LSD and psilocybin. The first was the fractal dimension of cortical functional connectivity networks and the second was the fractal dimension of BOLD time-series. We were able to show that both psychedelic drugs significantly increased the fractal dimension of functional connectivity networks, and that LSD significantly increased the fractal dimension of BOLD signals, with psilocybin showing a non-significant trend in the same direction. With both LSD and psilocybin, we were able to localize changes in the fractal dimension of BOLD signals to brain areas assigned to the dorsal-attentional network. These results show that psychedelic drugs increase the fractal character of activity in the brain and we see this as an indicator that the changes in consciousness triggered by psychedelics are associated with evolution towards a critical zone.\n\nAuthor SummaryThe unique state of consciousness produced by psychedelic drugs like LSD and psilocybin (the active component in magic mushrooms) are potentially useful tools for discovering how specific changes in the brain are related to differences in perception and thought patterns. Past research into the neuroscience of psychedelics has led to the proposal of a general theory of brain function and consciousness: the Entropic Brain Hypothesis proposes that consciousness emerges when the brain is sitting near a critical tipping point between order and chaos and that the mind-expanding elements of the psychedelic experience are caused by the brain moving closer to that critical transition point. Physicists have discovered that near this critical point, many different kinds of systems, from magnets to ecosystems, take on a distinct, fractal structure. Here, we used two measures of fractal-quality of brain activity, as seen in fMRI, to test whether the activity of the brain on psychedelics is more fractal than normal. We found evidence that this is the case and interpret that as supporting the theory that, psychedelic drugs are move the brain towards a more critical state.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Varley, T., Carhart-Harris, R., Roseman, L., Menon, D., Stamatakis, E.. 2019-01-11. Serotonergic Psychedelics LSD & Psilocybin Increase theFractal Dimension of Cortical Brain Activity in Spatial and Temporal Domains. https://doi.org/10.1101/517847

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

40 Hz visual stimulation increases gamma-band functional connectivity between visual, parietal and frontal regions

Visual stimulation at 40 Hz is being investigated as a non-invasive intervention for Alzheimer's disease. Its neural responses have been reported in regions beyond the visual cortex, and concurrent cognitive tasks have been shown to increase their spatial extent. However, it is unclear whether these responses reflect increased functional connectivity between regions or a common response to the stimulus, and whether a concurrent task changes this connectivity. We recorded EEG from 29 healthy young adults during Regular 40 Hz flicker and Irregular 30-50 Hz flicker, each with and without a target-counting task (2 x 2 within-participant design). Source-space connectivity between visual, parietal, and frontal regions was estimated with the debiased squared weighted phase-lag index (dWPLI). Regular stimulation increased 38-42 Hz connectivity for all three region pairs, with the largest increase between visual and parietal regions (increase in all 29 participants). The increase was specific to the stimulation frequency and was observed with two source reconstruction methods and in sensor space. The visual-parietal increase remained significant after correction for source leakage (spatial mixing between reconstructed sources) and after removal of the estimated stimulus-locked component, whereas the increases in visual-frontal and parietal-frontal connectivity did not. The concurrent task did not modulate the visual-parietal effect. For visual-frontal and parietal-frontal connectivity, the stimulation-by-ask interaction was not significant. These results show that 40 Hz visual stimulation increases gamma-band connectivity beyond the visual cortex, and much of this increase reflects a common stimulus-locked response, and connectivity beyond this response was observed mainly between visual and parietal regions.

neuroscience↗

Feedback Valence, Prediction Error, and the Limits of Computational Attribution in Symptom-Related EEG

Feedback-locked electroencephalography (EEG) responses are often interpreted using model-derived prediction errors (PEs), although signed PE can be strongly coupled to feedback valence in binary-outcome tasks. We revisited a published anxiety-related EEG association using two open probabilistic-learning datasets to examine measurement reliability, predictor separability, and participant-level recovery. In the primary dataset, greater trait anxiety was associated with a larger negative-minus-positive FCz theta response among 46 participants with elevated depressive symptoms after adjustment for depression severity. The association also differed between the sampled depression-symptom groups. The feedback contrast showed useful within-session reliability, but matched delta and P3-minus-N2 analyses did not establish theta specificity. Within participants, feedback valence and signed PE were highly correlated (r = -0.964). Exact-design simulations showed that population-level model discrimination could succeed despite poor recovery of individual neural slopes. Participant-specific learning-model refits recovered overall signed PE more consistently than the within-valence variation needed to distinguish it from feedback valence. An independent dataset reproduced the FCz feedback contrast in untreated and placebo cohorts but lacked trait-anxiety scores. Adding signed PE to valence yielded a small held-out predictive improvement under one reinforcement-learning specification, with limited support across sessions and no comparable support under the dual-rate model or in placebo. Together, these findings support a symptom-related feedback EEG association while constraining its theta-specific and participant-level computational interpretation.

neuroscience↗

An open-access neuroimaging-compatible virtual town task for assessing human spatial navigation

Spatial navigation is a cognitive skill that draws on multiple processes such as learning, decision-making and memory, which are often updated on a second-by-second timescale. However, many existing virtual paradigms designed to assay spatial navigation cannot target these processes as they unfold or are not designed for integration with concurrent neurophysiological recording. Here, we present and demonstrate our open-access task for neuroimaging: NAturalistic Virtual Assessment of Navigation (NAVAN) combining high-resolution behavioural tracking and integration with electroencephalography. We report data from this task, in which fifty-three participants completed a wayfinding navigation paradigm across twenty-four trials. Navigational efficiency improved significantly following repeated exposure to the environment, although efficiency declined across trials within each block. Self-reported spatial ability (assessed by the Santa Barbara Sense of Direction) predicted performance during early environmental exposure, suggesting concurrent validity. We demonstrated the feasibility of recording electroencephalography during the task, with in-game events streamed and aligned to the neural recording. The task provides researchers with access to detailed behavioural measures and can be adapted by modifying features such as trial number and difficulty. We also provide a step-by-step implementation guide to support reuse and customisation across experimental settings.

neuroscience↗