Classical and non-classical psychedelic drugs induce common network changes in human cortex
This fMRI analysis study (n=74 total) looks at how three different drugs -; nitrous oxide, ketamine, and lysergic acid diethylamide (LSD) -; affect the way different parts of the brain communicate with each other. By comparing brain scans taken before and during drug use, the study found that all three drugs reduced connectivity within certain networks in the brain, while enhancing connections between different networks. These effects were seen in areas of the brain that are important for our conscious experiences.
Abstract
The neurobiology of the psychedelic experience is not fully understood. Identifying common brain network changes induced by both classical (i.e., acting at the 5-HT2 receptor) and non-classical psychedelics would provide mechanistic insight into state-specific characteristics. We analyzed whole-brain functional connectivity based on resting-state fMRI data in humans, acquired before and during the administration of nitrous oxide, ketamine, and lysergic acid diethylamide. We report that, despite distinct molecular mechanisms and modes of delivery, all three psychedelics reduced within-network functional connectivity and enhanced between-network functional connectivity. More specifically, all three drugs increased connectivity between right temporoparietal junction and bilateral intraparietal sulcus as well as between precuneus and left intraparietal sulcus. These regions fall within the posterior cortical hot zone, posited to mediate the qualitative aspects of experience. Thus, both classical and non-classical psychedelics modulate networks within an area of known relevance for consciousness, identifying a biologically plausible candidate for their subjective effects.
Research Summary of 'Classical and non-classical psychedelic drugs induce common network changes in human cortex'
Introduction
Dai and colleagues situate their work in the context of incomplete understanding of the neurobiology of the psychedelic experience. They note that classical psychedelics such as LSD primarily act at the serotonergic 5-HT2 receptor, while non-classical drugs such as ketamine and nitrous oxide act at different molecular targets but can produce overlapping phenomenology, increased neurophysiologic complexity, and changes in oscillatory activity and brain state repertoire. Prior to this study there had been no resting-state fMRI characterisation of nitrous oxide at psychedelic concentrations in humans, and it remained unclear whether diverse psychedelics share drug-invariant network-level signatures. The study therefore set out to identify common brain network changes induced by both classical and non-classical psychedelics. Using a primary, prospective fMRI dataset of nitrous oxide administration and secondary analyses of existing ketamine and LSD fMRI datasets, the investigators compared within- and between-network functional connectivity changes associated with each drug. Propofol sedation was included as a non-psychedelic control to help distinguish general state-dependent connectivity changes from psychedelic-specific effects.
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Study Details
- Study Typeindividual
- Journal
- Compounds
- Topic
- Author
- APA Citation
Dai, R., Larkin, T. E., Huang, Z., Tarnal, V., Picton, P., Vlisides, P. E., Janke, E., McKinney, A., Hudetz, A. G., Harris, R. E., & Mashour, G. A. (2023). Classical and non-classical psychedelic drugs induce common network changes in human cortex. NeuroImage, 273, 120097. https://doi.org/10.1016/j.neuroimage.2023.120097
References (9)
Papers cited by this study that are also in Blossom
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Carhart-Harris, R. L., Muthukumaraswamy, S., Roseman, L. et al. · PNAS (2016)
Hibicke, M., Gobbi, G. · Journal of Neuroscience (2020)
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Nagele, P., Duma, A., Kopec, M. et al. · Biological Psychiatry (2015)
Nagele, P., Palanca, B. J., Gott, B. et al. · Science Translational Medicine (2021)
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Cited By (5)
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Singleton, S. P., Timmermann, C., Luppi, A. I. et al. · Communications Biology (2025)
Nicol, G. E. · Nature (2024)
Bagdasarian, F. A., Hansen, H. D., Chen, J. et al. · ACS Chemical Neuroscience (2024)
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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