CoChat
Sign Up
Cited by 315Psychedelics and Drug StudiesParanormal Experiences and BeliefsNeural dynamics and brain function

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

Neural correlates of the DMT experience assessed with multivariate EEG

Open access
Timmermann, Christopher, Roseman, Leor, Schartner, Michael, Milliere, Raphael, Williams, Luke T. J., Erritzoe, David, Muthukumaraswamy, Suresh, Ashton, Michael, Bendrioua, Adam, Kaur, Okdeep, Turton, Samuel, Nour, Matthew M., Day, Camilla M., Leech, Robert, Nutt, David J., Carhart-Harris, Robin L.·2019·Scientific Reports
DOI 10.1038/s41598-019-51974-4PMC PMC6864083

Published version of a preprint

Open this paper in CoChat — free accountOpen PDF

Abstract

Studying transitions in and out of the altered state of consciousness caused by intravenous (IV) N,N-Dimethyltryptamine (DMT - a fast-acting tryptamine psychedelic) offers a safe and powerful means of advancing knowledge on the neurobiology of conscious states. Here we sought to investigate the effects of IV DMT on the power spectrum and signal diversity of human brain activity (6 female, 7 male) recorded via multivariate EEG, and plot relationships between subjective experience, brain activity and drug plasma concentrations across time. Compared with placebo, DMT markedly reduced oscillatory power in the alpha and beta bands and robustly increased spontaneous signal diversity. Time-referenced and neurophenomenological analyses revealed close relationships between changes in various aspects of subjective experience and changes in brain activity. Importantly, the emergence of oscillatory activity within the delta and theta frequency bands was found to correlate with the peak of the experience - particularly its eyes-closed visual component. These findings highlight marked changes in oscillatory activity and signal diversity with DMT that parallel broad and specific components of the subjective experience, thus advancing our understanding of the neurobiological underpinnings of immersive states of consciousness.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-019-51974-4

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Subjective effects. (A) Real-time intensity ratings for DMT and placebo (mean ± SEM) (****p < 0.001; ***p < 0.005; **p < 0.01; * p < 0.05, FDR corrected, N = 13). (B) Visual analogue scales depict the phenomenological features of DMT and placebo (mean + SEM) (****p < 0.001; ***p < 0.005; **p < 0.01; *p < 0.05, FDR corrected, N = 13).
Figure 1 Subjective effects. (A) Real-time intensity ratings for DMT and placebo (mean ± SEM) (****p < 0.001; ***p < 0.005; **p < 0.01; * p < 0.05, FDR corrected, N = 13). (B) Visual analogue scales depict the phenomenological features of DMT and placebo (mean + SEM) (****p < 0.001; ***p < 0.005; **p < 0.01; *p < 0.05, FDR corrected, N = 13).CC BY · PubMed Central
Figure 2 Time-averaged EEG results. (A) The comparison of DMT versus placebo for changes in spectral activity reveals significant decreases for the alpha and beta bands for conventional spectral power. The decomposed spectra into oscillatory and fractal power, revealed similar results for the former and reductions were seen on all bands < 30 Hz for the latter. Filled circles correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12. (B) Grand-average spectral power for DMT and placebo corresponding to spectral, oscillatory and fractal (1/f) components of the signal (N = 12). (C) Increases are seen for both measures of spontaneous signal diversity following DMT administration compared to placebo Filled circles correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12 (LZs = Lempel-Ziv complexity, LZsN = normalized LZs).
Figure 2 Time-averaged EEG results. (A) The comparison of DMT versus placebo for changes in spectral activity reveals significant decreases for the alpha and beta bands for conventional spectral power. The decomposed spectra into oscillatory and fractal power, revealed similar results for the former and reductions were seen on all bands < 30 Hz for the latter. Filled circles correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12. (B) Grand-average spectral power for DMT and placebo corresponding to spectral, oscillatory and fractal (1/f) components of the signal (N = 12). (C) Increases are seen for both measures of spontaneous signal diversity following DMT administration compared to placebo Filled circles correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12 (LZs = Lempel-Ziv complexity, LZsN = normalized LZs).CC BY · PubMed Central
Figure 3 Subjective vs EEG effects across time. (A) Significant inverse relationships were found between real-time intensity ratings and power in alpha and beta bands for all power measures (including the theta band for fractal power). A positive relationship was found between intensity and power at delta and theta bands in the oscillatory component. Increased signal diversity (LZs and LZsN) correlated positively with intensity ratings also. Filled circles/dots correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12. Positive relationships are shown using black dots and negative relationships are shown using white dots/circles (B) Time frequency plot illustrating the associations between intensity ratings and spectral activity for DMT and placebo (red line marks beginning of injection), N = 12. (C) Temporal development of intensity, and EEG measures of spectral activity and spontaneous signal diversity (mean ± SEM, N = 12). (δ = delta, θ = theta, γ = gamma, α = alpha, β = beta, LZs = Lempel-Ziv complexity, LZsN = normalized LZs).
Figure 3 Subjective vs EEG effects across time. (A) Significant inverse relationships were found between real-time intensity ratings and power in alpha and beta bands for all power measures (including the theta band for fractal power). A positive relationship was found between intensity and power at delta and theta bands in the oscillatory component. Increased signal diversity (LZs and LZsN) correlated positively with intensity ratings also. Filled circles/dots correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12. Positive relationships are shown using black dots and negative relationships are shown using white dots/circles (B) Time frequency plot illustrating the associations between intensity ratings and spectral activity for DMT and placebo (red line marks beginning of injection), N = 12. (C) Temporal development of intensity, and EEG measures of spectral activity and spontaneous signal diversity (mean ± SEM, N = 12). (δ = delta, θ = theta, γ = gamma, α = alpha, β = beta, LZs = Lempel-Ziv complexity, LZsN = normalized LZs).CC BY · PubMed Central
Figure 4 Plasma DMT vs EEG effects. (A) Significant inverse relationships (white dots/circles) were found between plasma levels of DMT and power in the alpha and beta bands for spectral and oscillatory power, while the relationship was found for plasma DMT and power in the theta band for fractal power. A positive relationship (black dots) was found between plasma levels of DMT and complexity measures (LZs and LZsN). Filled circles correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12. (B) Temporal development of DMT plasma concentrations, and EEG measures of total power and spontaneous signal diversity which were found significant to have a significant effect (mean ± SEM, N = 12).
Figure 4 Plasma DMT vs EEG effects. (A) Significant inverse relationships (white dots/circles) were found between plasma levels of DMT and power in the alpha and beta bands for spectral and oscillatory power, while the relationship was found for plasma DMT and power in the theta band for fractal power. A positive relationship (black dots) was found between plasma levels of DMT and complexity measures (LZs and LZsN). Filled circles correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 12. (B) Temporal development of DMT plasma concentrations, and EEG measures of total power and spontaneous signal diversity which were found significant to have a significant effect (mean ± SEM, N = 12).CC BY · PubMed Central
Figure 5 Neurophenomenology. (A) Average ratings (mean ± SEM) regarding the intensity for the three dimensions of experience which were found to be commonly altered across all participants following DMT administration. (B) Significant inverse relationships (white dots/circles) were found between the progression of visual effects induced by DMT and power at the alpha and the beta bands, as well as increases (black dots) in complexity (LZs and LZsN). Decreases of central beta band power showed a significant association the trajectory of bodily effects. Decreases in alpha band power and increases in complexity (LZs and LZsN) were significantly associated to the dynamics of emotional/metacognitive effects. Mostly consistent results were found with oscillatory power, however an intriguing positive relationship found with power at delta and theta bands for visual effects and reduced theta activity was linked to emotional/metacognitive effects. Filled circles/dots correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 11. (C) Radar plots displaying the constellation of EEG effects associated to different dimensions of experience (mean values displayed).
Figure 5 Neurophenomenology. (A) Average ratings (mean ± SEM) regarding the intensity for the three dimensions of experience which were found to be commonly altered across all participants following DMT administration. (B) Significant inverse relationships (white dots/circles) were found between the progression of visual effects induced by DMT and power at the alpha and the beta bands, as well as increases (black dots) in complexity (LZs and LZsN). Decreases of central beta band power showed a significant association the trajectory of bodily effects. Decreases in alpha band power and increases in complexity (LZs and LZsN) were significantly associated to the dynamics of emotional/metacognitive effects. Mostly consistent results were found with oscillatory power, however an intriguing positive relationship found with power at delta and theta bands for visual effects and reduced theta activity was linked to emotional/metacognitive effects. Filled circles/dots correspond to clusters p < 0.01 and hollow circles for clusters p < 0.05, N = 11. (C) Radar plots displaying the constellation of EEG effects associated to different dimensions of experience (mean values displayed).CC BY · PubMed Central
Figure 6 Psychometric correlational analyses. (A) Normalized correlation coefficient values between VAS items and EEG measures for each minute following DMT. Significant correlations between these normalized correlation values and intensity ratings are marked with a cross following Bonferroni-correction for multiple comparisons at p < 0.05 (see Fig. S3 for correlations with oscillatory and fractal power and Fig. S4 for 5-minute averaged data correlations). (B) Bar chart displaying the number of significant correlations between normalized correlation values (EEG metrics vs VAS items) and intensity ratings. Results revealed that alpha correlate most with subjective experience when the total power is assessed, whereas theta correlates most when just the oscillatory power is extracted. Conversely, fractal power displayed a small amount of significant correlations (See Fig. S6 for the specific correlation values for each item for oscillatory and fractal power). Finally LZs was a metric which displayed the same amount of significant correlations as alpha in total and oscillatory power.
Figure 6 Psychometric correlational analyses. (A) Normalized correlation coefficient values between VAS items and EEG measures for each minute following DMT. Significant correlations between these normalized correlation values and intensity ratings are marked with a cross following Bonferroni-correction for multiple comparisons at p < 0.05 (see Fig. S3 for correlations with oscillatory and fractal power and Fig. S4 for 5-minute averaged data correlations). (B) Bar chart displaying the number of significant correlations between normalized correlation values (EEG metrics vs VAS items) and intensity ratings. Results revealed that alpha correlate most with subjective experience when the total power is assessed, whereas theta correlates most when just the oscillatory power is extracted. Conversely, fractal power displayed a small amount of significant correlations (See Fig. S6 for the specific correlation values for each item for oscillatory and fractal power). Finally LZs was a metric which displayed the same amount of significant correlations as alpha in total and oscillatory power.CC BY · PubMed Central
Figure 7 Schematic of the LZs computation. An example EEG signal with a sampling rate of 250 Hz and a length of 1 sec is shown in black (x). The mean (red) of the absolute value of its analytic signal (green, a) is used to binarize the signal (blue). The encoding step of the Lempel-Ziv algorithm is then applied to the first 25 entries of that binarized signal (in this illustration), creating a dictionary of the unique subsequences, which is then normalized by dividing the raw value by those obtained for the same randomly shuffled binary sequence. This provides a value between 0–1 that quantifies the temporal diversity of the EEG signal (LZs).
Figure 7 Schematic of the LZs computation. An example EEG signal with a sampling rate of 250 Hz and a length of 1 sec is shown in black (x). The mean (red) of the absolute value of its analytic signal (green, a) is used to binarize the signal (blue). The encoding step of the Lempel-Ziv algorithm is then applied to the first 25 entries of that binarized signal (in this illustration), creating a dictionary of the unique subsequences, which is then normalized by dividing the raw value by those obtained for the same randomly shuffled binary sequence. This provides a value between 0–1 that quantifies the temporal diversity of the EEG signal (LZs).CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 66 references

Research works printed but not linked: 1

  1. Strassman, R. DMT: The spirit molecule. (Park Street Press, 2001).

Cited by

Sorted by citations

Items 201–300 of 309

Related

See all

Metadata

Authors
Timmermann, C., Roseman, L., Schartner, M., Milliere, R., Williams, L. T. J., Erritzoe, D., Muthukumaraswamy, S., Ashton, M., Bendrioua, A., Kaur, O., Turton, S., Nour, M. M., Day, C. M., Leech, R., Nutt, D. J., & Carhart-Harris, R. L.
Affiliations
  • Imperial College London (GB)
  • University of Geneva (CH)
  • University of Auckland (NZ)
  • University of Gothenburg (SE)
  • King's College London (GB)
  • University of Oxford (GB)
Corresponding author
Timmermann, Christopher
ORCID
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2019-11-19
Volume
9
Issue
1
Pages
16324-16324
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-019-51974-4
PMC
PMC6864083
OpenAlex
W2991342487
Cited by
315
References
66
Citations by year
2026: 41 · 2025: 51 · 2024: 71 · 2023: 55 · 2022: 35 · 2021: 37 · 2020: 23 · 2019: 1
FWCI
28.03
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (publishedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
  • Spiral (Imperial College London) (submittedVersion, cc-by)
Funders
  • Consejo Nacional de Ciencia y Tecnología
  • Imperial College President&apos;s PhD Scholarship Scheme and Albert Hobohm
  • RCUK | STFC | Central Laser Facility, Science and Technology Facilities Council
  • SM is supported by a Rutherford Discovery Fellowship
  • DJN is supported by the Safra Foundation
  • RCH is supported by the Alex Mosley Charitable Trust and Ad Astra Chandaria Foundation
Topics
  • Social Sciences › Psychology › Clinical Psychology › Psychedelics and Drug Studies
  • Social Sciences › Psychology › Social Psychology › Paranormal Experiences and Beliefs
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
N,N-dimethyltryptamine, DMT, altered states of consciousness, neural oscillations, signal diversity, subjective experience, neurophenomenology, delta oscillations, theta oscillations, plasma drug concentration
MeSH terms
Adult, Brain, Consciousness, N,N-Dimethyltryptamine, Electroencephalography, Female, Hallucinogens, Humans, Male, Multivariate Analysis, Case-Control Studies, Administration, Intravenous

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review