Baseline power of theta oscillations predicts mystical-type experiences induced by DMT in a natural setting
Baseline frontal and temporal theta power measured with wireless EEG and source imaging in a natural setting inversely predicts the intensity of DMT‑induced mystical‑type experiences (feelings of unity and transcendence), a finding validated with cross‑validated machine‑learning regression. This suggests that reducing theta before administration could increase the likelihood of mystical experiences and potentially improve therapeutic outcomes.
Authors
- Enzo Tagliazucchi
- Claudio Pallavicini
- Federico Zamberlan
Published
Abstract
N,N-Dimethyltryptamine (DMT) is a classic psychedelic capable of inducing short-lasting but profound changes in consciousness. As with other psychedelics, the experience induced by DMT strongly depends upon contextual factors, yet the neurobiological determinants of this variability remain unknown. We combined wireless electroencephalography and source imaging to map changes in neural oscillations elicited by inhaled DMT. Furthermore, we found that the power of frontal and temporal theta oscillations was inversely correlated with scales indexing feelings of unity and transcendence, which are an integral part of the phenomenology of mystical-type experiences. Finally, we established the robustness of these results using a machine learning model for regression trained and tested following a cross-validation procedure. Our results are consistent with the observation that the state of mind prior to consuming a psychedelic drug influences the ensuing subjective experience of the user. We also suggest that priming subjects to reduce their theta power before administration of a serotonergic psychedelic could enhance the likelihood of inducing mystical-type experiences, leading to sustained positive effects in well-being and improving the outcome of therapeutic interventions.
Research Summary of 'Baseline power of theta oscillations predicts mystical-type experiences induced by DMT in a natural setting'
Introduction
Serotonergic psychedelics such as psilocybin, LSD and N,N-dimethyltryptamine (DMT) produce profound alterations in perception, affect and self-awareness, and some of these acute effects appear linked to longer-term psychological benefits. A particular class of subjective responses labelled "mystical-type" experiences — operationalised by instruments such as the MEQ30 (Mystical Experience Questionnaire) — has been associated with therapeutic outcomes in clinical trials of psychedelics. Considerable variability exists in the likelihood of experiencing a complete mystical-type episode across substances and studies, and prior work has identified psychological predictors (for example trait absorption, intentions, and measures of anxiety or attachment) but has left the neurobiological determinants of this variability largely unexplored. Tagliazucchi and colleagues set out to test whether baseline brain activity, measured with electroencephalography (EEG), predicts the magnitude of mystical-type and related subjective experiences induced by inhaled DMT. The study examined source-localised spectral power during an eyes-closed baseline and related those measures to post-DMT questionnaire scores in a sample of participants who self-administered freebase DMT in naturalistic settings. The investigators further tested the robustness of any associations using a machine learning regression approach applied to source theta power across anatomical regions.
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Study Details
- Study Typeindividual
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- APA Citation
Tagliazucchi, E., Zamberlan, F., Cavanna, F., de la Fuente, L., Romero, C., Perl, Y. S., & Pallavicini, C. (2021). Baseline power of theta oscillations predicts mystical-type experiences induced by DMT in a natural setting. https://doi.org/10.1101/2021.03.11.434994
References (28)
Papers cited by this study that are also in Blossom
Aday, J. S., Mitzkovitz, C. M., Bloesch, E. K. et al. · Neuroscience and Biobehavioral Reviews (2020)
Aday, J. S., Davis, A. K., Mitzkovitz, C. M. et al. · ACS Pharmacology and Translational Science (2021)
Barrett, F. S., Griffiths, R. R. · Current Topics in Behavioral Neurosciences (2017)
Barrett, F. S., Johnson, M. W., Griffiths, R. R. · Journal of Psychopharmacology (2015)
Bouso, J. C., Dos Santos, R. G., Hallak, J. E. · Neuroscience and Biobehavioral Reviews (2018)
Cakic, V., Potkonyak, J., Marshall, A. · Drug and Alcohol Dependence (2010)
Carhart-Harris, R. L., Bolstridge, M., Rucker, J. et al. · Lancet Psychiatry (2016)
Carhart-Harris, R. L., Roseman, L., Haijen, E. C. H. M. et al. · Journal of Psychopharmacology (2018)
Dos Santos, R. G., Osório, F. L., Crippa, J. A. et al. · Neuroscience and Biobehavioral Reviews (2016)
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Show all 28 referencesShow fewer
Griffiths, R. R., Richards, W. A., Mccann, U. et al. · Journal of Psychopharmacology (2006)
Griffiths, R. R. · Journal of Psychopharmacology (2008)
Griffiths, R. R., Johnson, M. W., Richards, W. A. et al. · Psychopharmacology (2011)
Griffiths, R. R., Hurwitz, E. S., Davis, A. K. et al. · PLOS ONE (2019)
Grob, C. S., Danforth, A. L., Chopra, G. S. et al. · JAMA Psychiatry (2011)
Haijen, E. C. H. M., Kaelen, M., Roseman, L. et al. · Frontiers in Pharmacology (2018)
Johnson, M. W., Richards, W. A., Griffiths, R. R. · Journal of Psychopharmacology (2008)
Johnson, M. W., Garcia-Romeu, A., Cosimano, M. P. et al. · Journal of Psychopharmacology (2014)
Johnson, M. W., Hendricks, P. S., Barrett, F. S. et al. · Pharmacology and Therapeutics (2019)
Liechti, M. E., Dolder, P. C., Schmid, Y. · Psychopharmacology (2016)
Palhano-Fontes, F., Barreto, D., Onias, H. et al. · Psychological Medicine (2018)
Roseman, L., Nutt, D. J., Carhart-Harris, R. L. · Frontiers in Pharmacology (2018)
Schenberg, E. E., Alexandre, J. F. M., Filev, R. et al. · PLOS ONE (2015)
Smigielski, L., Kometer, M., Scheidegger, M. et al. · Scientific Reports (2019)
Studerus, E., Gamma, A., Vollenweider, F. X. · PLOS ONE (2010)
Studerus, E., Gamma, A., Kometer, M. et al. · PLOS ONE (2012)
Timmermann, C., Roseman, L., Schartner, M. et al. · Scientific Reports (2019)
Winstock, A. R., Kaar, S., Borschmann, R. · Journal of Psychopharmacology (2013)
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