Healthy VolunteersNeuroimaging & Brain MeasuresMedicinal Chemistry & Drug DevelopmentDMT

N,N-dimethyltryptamine affects EEG response in a concentration dependent manner - a pharmacokinetic/pharmacodynamic analysis

Using population PK/PD modelling of intravenous DMT in 13 healthy volunteers, the study quantified concentration–response relationships for EEG, showing complete suppression of alpha power (EC50,e ≈ 71 nM), partial suppression of beta power (EC50,e ≈ 137 nM) and an increase in Lempel–Ziv complexity (EC50,e ≈ 54 nM). Beta power and complexity exhibited high between‑subject variability (CV ≈ 75–77%) while alpha was more consistent (CV 29%), indicating alpha power may be the most robust biomarker for dose selection.

Authors

  • Robin Carhart-Harris
  • Christopher Timmermann
  • Michael Ashton

Published

Philosophy and the Mind Sciences
individual Study

Abstract

N,N‐dimethyltryptamine (DMT) is a psychedelic substance and is being used as a research tool in investigations of the neurobiology behind the human consciousness using different brain imaging techniques. The effects of psychedelics have commonly been studied using electroencephalography (EEG) and have been shown to produce suppression of alpha power and increase in signal diversity. However, the relationship between DMT exposure and its EEG effects has never been quantified. In this work, a population pharmacokinetic/pharmacodynamic analysis was performed investigating the relationship between DMT plasma concentrations and its EEG effects. Data were obtained from a clinical study where DMT was administered by intravenous bolus dose to 13 healthy subjects. The effects on alpha power, beta power, and Lempel‐Ziv complexity were evaluated. DMT was shown to fully suppress alpha power. Beta power was only partially suppressed, whereas an increase in Lempel‐Ziv complexity was observed. The relationship between plasma concentrations and effects were described using effect compartment models with sigmoidal maximum inhibitory response or maximum stimulatory response models. Values of the concentration needed to reach half of the maximum response (EC50,e) were estimated at 71, 137, and 54 nM for alpha, beta, and Lempel‐Ziv complexity, respectively. A large amount of between‐subject variability was associated with both beta power and Lempel‐Ziv complexity with coefficients of variability of 75% and 77% for the corresponding EC50,e values, respectively. Alpha power appeared to be the most robust response, with a between‐subject variability in EC50,e of 29%. Having a deeper understanding of these processes might prove beneficial in choosing appropriate doses and response biomarkers in the future clinical development of DMT.

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Research Summary of 'N,N-dimethyltryptamine affects EEG response in a concentration dependent manner - a pharmacokinetic/pharmacodynamic analysis'

Introduction

DMT (N,N-dimethyltryptamine) is a classic serotonergic psychedelic that produces profound alterations in perception, cognition and affect when given exogenously. Prior EEG and MEG studies of classic psychedelics, including DMT (often studied as part of ayahuasca), have consistently reported suppression of alpha-band power and increases in signal diversity, but results linking those electrophysiological changes to subjective experience and clinical outcomes have been inconsistent. Crucially, earlier work has not quantified the quantitative relationship between drug exposure (plasma concentrations) and EEG effects using pharmacokinetic/pharmacodynamic (PKPD) modelling, leaving uncertainty about dose–response characteristics and suitable biomarkers for clinical development. Eckernäs and colleagues set out to quantify the relationship between DMT plasma concentrations and longitudinal EEG measures using a population PKPD approach. Using data from a placebo-controlled pilot study in which thirteen healthy volunteers received a single intravenous bolus of DMT fumarate at one of four dose levels (7 mg, 14 mg, 18 mg or 20 mg), the study investigated three EEG endpoints—alpha power, beta power and Lempel–Ziv complexity (LZc, a measure of signal diversity)—and sought to characterise exposure–response parameters such as EC50/IC50 and the time delay between plasma concentration and effect.

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Study Details

References (15)

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