Decreased directed functional connectivity in the psychedelic state
This MEG study (n=63) found that psilocybin, ketamine, and LSD all decreased directed functional connectivity in the brain. LSD was additionally found to increase undirected functional connectivity.
Authors
- Suresh Muthukumaraswamy
- Robin Carhart-Harris
Published
Abstract
Neuroimaging studies of the psychedelic state offer a unique window onto the neural basis of conscious perception and selfhood. Despite well understood pharmacological mechanisms of action, the large-scale changes in neural dynamics induced by psychedelic compounds remain poorly understood. Using source-localised, steady-state MEG recordings, we describe changes in functional connectivity following the controlled administration of LSD, psilocybin and low-dose ketamine, as well as, for comparison, the (non-psychedelic) anticonvulsant drug tiagabine. We compare both undirected and directed measures of functional connectivity between placebo and drug conditions. We observe a general decrease in directed functional connectivity for all three psychedelics, as measured by Granger causality, throughout the brain. These data support the view that the psychedelic state involves a breakdown in patterns of functional organisation or information flow in the brain. In the case of LSD, the decrease in directed functional connectivity is coupled with an increase in undirected functional connectivity, which we measure using correlation and coherence. This surprising opposite movement of directed and undirected measures is of more general interest for functional connectivity analyses, which we interpret using analytical modelling. Overall, our results uncover the neural dynamics of information flow in the psychedelic state, and highlight the importance of comparing multiple measures of functional connectivity when analysing time-resolved neuroimaging data.
Research Summary of 'Decreased directed functional connectivity in the psychedelic state'
Introduction
Barnett and colleagues frame the study within ongoing efforts to understand how classical psychedelics (notably LSD and psilocybin) and sub‑anesthetic ketamine alter large‑scale neural dynamics underlying changes in consciousness. Previous work has linked subjective psychedelic effects to receptor‑level actions (for example 5HT2A partial agonism for classical psychedelics and NMDA antagonism for ketamine) and to reorganisations of functional connectivity (FC) measured with fMRI, but the authors note important limitations in fMRI for assessing fast temporal dynamics. They argue that high‑temporal‑resolution electrophysiological recordings (MEG/EEG) permit simultaneous comparison of undirected FC measures (e.g. correlation, coherence, mutual information) and directed FC measures (e.g. Granger causality, transfer entropy), which may yield complementary insights into shared information versus information flow across brain regions. The study therefore set out to characterise changes in both directed and undirected FC in the psychedelic state using source‑localised steady‑state MEG recordings previously collected from healthy volunteers after controlled administration of LSD, psilocybin, and low‑dose ketamine, with tiagabine (a non‑psychedelic GABA reuptake inhibitor) included as an additional comparator. Analyses were exploratory and performed on drug versus placebo recordings within subjects, with functional connectivity estimated at the level of 90 AAL cortical sources and aggregated into larger ROIs where appropriate. The central question was whether psychedelics produce reliable changes in directed and undirected FC relative to placebo and relative to the non‑psychedelic control, and whether directed and undirected measures move together or independently in these states. This work is positioned as an exploratory, cross‑drug comparison using high‑temporal‑resolution MEG to probe information flow in the psychedelic state and to evaluate whether changes in directed FC can be dissociated from changes in undirected FC and from simple confounds such as spectral power or signal‑to‑noise ratio (SNR).
Expert Research Summaries
Go Pro to access AI-powered section-by-section summaries, editorial takes, and the full research toolkit.
Full Text PDF
Full Paper PDF
Create a free account to open full-text PDFs.
Study Details
- Study Typeindividual
- Journal
- Compound
- Topics
- Authors
- APA Citation
Barnett, L., Muthukumaraswamy, S. D., Carhart-Harris, R. L., & Seth, A. K. (2020). Decreased directed functional connectivity in the psychedelic state. NeuroImage, 209, 116462. https://doi.org/10.1016/j.neuroimage.2019.116462
References (21)
Papers cited by this study that are also in Blossom
Alonso, J. N., Romero, S., Mañanas, M. A. et al. · International Journal of Neuropsychopharmacology (2015)
Atasoy, S., Leor, R., Kaelen, M. et al. · Scientific Reports (2017)
Carhart-Harris, R. L., Leech, R., Shanahan, M. et al. · Frontiers in Human Neuroscience (2014)
Carhart-Harris, R. L. · Neuropharmacology (2018)
Carhart-Harris, R. L., Erritzoe, D., Williams, T. et al. · PNAS (2012)
Carhart-Harris, R. L., Friston, K. J. · Pharmacological Reviews (2019)
Carhart-Harris, R. L., Muthukumaraswamy, S., Roseman, L. et al. · PNAS (2016)
Deco, G., Cruzat, J., Cabral, J. et al. · Current Biology (2018)
Kometer, M., Pokorny, T., Seifritz, E. et al. · Psychopharmacology (2015)
Lebedev, A. V., Kaelen, M., L€ Ovd En, M. et al. · Human Brain Mapping (2016)
Show all 21 referencesShow fewer
Müller, F., Dolder, P. C., Schmidt, A. et al. · NeuroImage (2018)
Lenz, C., Dolder, P. C., Lang, U. E. et al. · Acta Psychiatrica Scandinavica (2017)
Muthukumaraswamy, S. D., Carhart-Harris, R. L., Moran, R. J. et al. · Journal of Neuroscience (2013)
Pallavicini, C., Vilas, M. G., Villarreal, M. et al. · NeuroImage (2019)
Preller, K. H., Burt, J. B., Adkinson, B. et al. · eLife (2018)
Quednow, B. B., Kometer, M., Geyer, M. A. et al. · Neuropsychopharmacology (2011)
Riba, J., Anderer, P., Jané, F. et al. · Neuropsychobiology (2004)
Schartner, M., Carhart-Harris, R. L., Barrett, A. B. et al. · Scientific Reports (2017)
Tagliazucchi, E., Roseman, L., Kaelen, M. et al. · Current Biology (2016)
Viol, A., Palhano-Fontes, F., Onias, H. et al. · Scientific Reports (2017)
Vollenweider, F. X., Kometer, M. · Nature Reviews Neuroscience (2010)
Cited By (16)
Papers in Blossom that reference this study
Scholle, P., Wenke, Š., Nekovářová, T. et al. · Journal of Psychopharmacology (2026)
Blackburne, G., Mcalpine, R. G., Fabus, M. et al. · Cell Reports (2025)
Coleman, J. A., Shinozuka, K., Tromm, R. et al. · Human Brain Mapping (2025)
Shinozuka, K., Tewarie, P. K. B., Luppi, A. et al. · Biorxiv (2024)
Herzog, R., Mediano, P. A. M., Rosas, F. E. et al. · Scientific Reports (2023)
Stoliker, D., Novelli, L., Vollenweider, F. X. et al. · Biological Psychiatry (2023)
Rajpal, H., Mediano, P. A. M., Rosas, F. E. et al. · NeuroImage (2022)
Bedford, P., Hauke, D. J., Wang, Z. et al. · Neuropsychopharmacology (2022)
Stoliker, D., Egan, G. F., Friston, K. J. et al. · Pharmacological Reviews (2022)
Girn, M., Roseman, L., Bernhardt, B. et al. · NeuroImage (2022)
Show all 16 papersShow fewer
Elman, I., Borsook, D., Pustilink, A. · Neuroscience and Biobehavioral Reviews (2022)
Zamani, A., Carhart-Harris, R. L., Christoff, K. · Neuropsychopharmacology (2021)
Greco, A., Gallitto, G., Rastelli, C. · Entropy (2021)
Nichols, D. E., Walter, H. · Pharmacopsychiatry (2020)
Leptourgos, P., Fortier-Davy, M., Carhart-Harris, R. L. et al. · Schizophrenia Bulletin (2020)
Girn, M., Roseman, L., Bernhardt, B. et al. · Biorxiv (2020)
Your Personal Research Library
Go Pro to save papers, add notes, rate studies, and organize your research into custom shelves.