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Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

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Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. / Singleton, S. Parker; Luppi, Andrea I.; Carhart-Harris, Robin L. et al.

In: Nature Communications, Vol. 13, No. 1, 5812, 12.2022.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Singleton, SP, Luppi, AI, Carhart-Harris, RL, Cruzat, J, Roseman, L, Nutt, DJ, Deco, G, Kringelbach, ML, Stamatakis, EA & Kuceyeski, A 2022, 'Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape', Nature Communications, vol. 13, no. 1, 5812. https://doi.org/10.1038/s41467-022-33578-1

APA

Singleton, S. P., Luppi, A. I., Carhart-Harris, R. L., Cruzat, J., Roseman, L., Nutt, D. J., Deco, G., Kringelbach, M. L., Stamatakis, E. A., & Kuceyeski, A. (2022). Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. Nature Communications, 13(1), [5812]. https://doi.org/10.1038/s41467-022-33578-1

CBE

Singleton SP, Luppi AI, Carhart-Harris RL, Cruzat J, Roseman L, Nutt DJ, Deco G, Kringelbach ML, Stamatakis EA, Kuceyeski A. 2022. Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. Nature Communications. 13(1):Article 5812. https://doi.org/10.1038/s41467-022-33578-1

MLA

Singleton, S. Parker et al. "Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape". Nature Communications. 2022. 13(1). https://doi.org/10.1038/s41467-022-33578-1

Vancouver

Singleton SP, Luppi AI, Carhart-Harris RL, Cruzat J, Roseman L, Nutt DJ et al. Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. Nature Communications. 2022 Dec;13(1):5812. doi: 10.1038/s41467-022-33578-1

Author

Singleton, S. Parker ; Luppi, Andrea I. ; Carhart-Harris, Robin L. et al. / Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape. In: Nature Communications. 2022 ; Vol. 13, No. 1.

Bibtex

@article{bd6b5e85090b403ab01f4ed4aa26877a,
title = "Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain{\textquoteright}s control energy landscape",
abstract = "Psychedelics including lysergic acid diethylamide (LSD) and psilocybin temporarily alter subjective experience through their neurochemical effects. Serotonin 2a (5-HT2a) receptor agonism by these compounds is associated with more diverse (entropic) brain activity. We postulate that this increase in entropy may arise in part from a flattening of the brain{\textquoteright}s control energy landscape, which can be observed using network control theory to quantify the energy required to transition between recurrent brain states. Using brain states derived from existing functional magnetic resonance imaging (fMRI) datasets, we show that LSD and psilocybin reduce control energy required for brain state transitions compared to placebo. Furthermore, across individuals, reduction in control energy correlates with more frequent state transitions and increased entropy of brain state dynamics. Through network control analysis that incorporates the spatial distribution of 5-HT2a receptors (obtained from publicly available positron emission tomography (PET) data under non-drug conditions), we demonstrate an association between the 5-HT2a receptor and reduced control energy. Our findings provide evidence that 5-HT2a receptor agonist compounds allow for more facile state transitions and more temporally diverse brain activity. More broadly, we demonstrate that receptor-informed network control theory can model the impact of neuropharmacological manipulation on brain activity dynamics.",
author = "Singleton, {S. Parker} and Luppi, {Andrea I.} and Carhart-Harris, {Robin L.} and Josephine Cruzat and Leor Roseman and Nutt, {David J.} and Gustavo Deco and Kringelbach, {Morten L.} and Stamatakis, {Emmanuel A.} and Amy Kuceyeski",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = dec,
doi = "10.1038/s41467-022-33578-1",
language = "English",
volume = "13",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape

AU - Singleton, S. Parker

AU - Luppi, Andrea I.

AU - Carhart-Harris, Robin L.

AU - Cruzat, Josephine

AU - Roseman, Leor

AU - Nutt, David J.

AU - Deco, Gustavo

AU - Kringelbach, Morten L.

AU - Stamatakis, Emmanuel A.

AU - Kuceyeski, Amy

N1 - Publisher Copyright: © 2022, The Author(s).

PY - 2022/12

Y1 - 2022/12

N2 - Psychedelics including lysergic acid diethylamide (LSD) and psilocybin temporarily alter subjective experience through their neurochemical effects. Serotonin 2a (5-HT2a) receptor agonism by these compounds is associated with more diverse (entropic) brain activity. We postulate that this increase in entropy may arise in part from a flattening of the brain’s control energy landscape, which can be observed using network control theory to quantify the energy required to transition between recurrent brain states. Using brain states derived from existing functional magnetic resonance imaging (fMRI) datasets, we show that LSD and psilocybin reduce control energy required for brain state transitions compared to placebo. Furthermore, across individuals, reduction in control energy correlates with more frequent state transitions and increased entropy of brain state dynamics. Through network control analysis that incorporates the spatial distribution of 5-HT2a receptors (obtained from publicly available positron emission tomography (PET) data under non-drug conditions), we demonstrate an association between the 5-HT2a receptor and reduced control energy. Our findings provide evidence that 5-HT2a receptor agonist compounds allow for more facile state transitions and more temporally diverse brain activity. More broadly, we demonstrate that receptor-informed network control theory can model the impact of neuropharmacological manipulation on brain activity dynamics.

AB - Psychedelics including lysergic acid diethylamide (LSD) and psilocybin temporarily alter subjective experience through their neurochemical effects. Serotonin 2a (5-HT2a) receptor agonism by these compounds is associated with more diverse (entropic) brain activity. We postulate that this increase in entropy may arise in part from a flattening of the brain’s control energy landscape, which can be observed using network control theory to quantify the energy required to transition between recurrent brain states. Using brain states derived from existing functional magnetic resonance imaging (fMRI) datasets, we show that LSD and psilocybin reduce control energy required for brain state transitions compared to placebo. Furthermore, across individuals, reduction in control energy correlates with more frequent state transitions and increased entropy of brain state dynamics. Through network control analysis that incorporates the spatial distribution of 5-HT2a receptors (obtained from publicly available positron emission tomography (PET) data under non-drug conditions), we demonstrate an association between the 5-HT2a receptor and reduced control energy. Our findings provide evidence that 5-HT2a receptor agonist compounds allow for more facile state transitions and more temporally diverse brain activity. More broadly, we demonstrate that receptor-informed network control theory can model the impact of neuropharmacological manipulation on brain activity dynamics.

UR - http://www.scopus.com/inward/record.url?scp=85139098070&partnerID=8YFLogxK

U2 - 10.1038/s41467-022-33578-1

DO - 10.1038/s41467-022-33578-1

M3 - Journal article

C2 - 36192411

AN - SCOPUS:85139098070

VL - 13

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 5812

ER -