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The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs.
Open accessAbstract
Entropy is a dimensionless quantity that is used for measuring uncertainty about the state of a system but it can also imply physical qualities, where high entropy is synonymous with high disorder. Entropy is applied here in the context of states of consciousness and their associated neurodynamics, with a particular focus on the psychedelic state. The psychedelic state is considered an exemplar of a primitive or primary state of consciousness that preceded the development of modern, adult, human, normal waking consciousness. Based on neuroimaging data with psilocybin, a classic psychedelic drug, it is argued that the defining feature of "primary states" is elevated entropy in certain aspects of brain function, such as the repertoire of functional connectivity motifs that form and fragment across time. Indeed, since there is a greater repertoire of connectivity motifs in the psychedelic state than in normal waking consciousness, this implies that primary states may exhibit "criticality," i.e., the property of being poised at a "critical" point in a transition zone between order and disorder where certain phenomena such as power-law scaling appear. Moreover, if primary states are critical, then this suggests that entropy is suppressed in normal waking consciousness, meaning that the brain operates just below criticality. It is argued that this entropy suppression furnishes normal waking consciousness with a constrained quality and associated metacognitive functions, including reality-testing and self-awareness. It is also proposed that entry into primary states depends on a collapse of the normally highly organized activity within the default-mode network (DMN) and a decoupling between the DMN and the medial temporal lobes (which are normally significantly coupled). These hypotheses can be tested by examining brain activity and associated cognition in other candidate primary states such as rapid eye movement (REM) sleep and early psychosis and comparing these with non-primary states such as normal waking consciousness and the anaesthetized state.
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“Other approaches study only conscious (and not unconscious) states and their changes, such as how consciousness changes under the in fl uence of LSD, other psychotropic substances or meditation (Carhart-Harris et al., 2014; Lutz et al., 2007), or track changes in body ownership and map them to brain states (Faivre et al., 2015).”
From Hard criteria for empirical theories of consciousness (2021) · cites this paper as Carhart-Harris et al., 2014
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“Indeed, psychedelic consciousness, in which the mechanisms of self-binding are compromised, is usually described as a state of increased or intensified consciousness, leading Carhart-Harris et al. (2014) to suggest that self-referential processes constrain consciousness rather than enabling it.”
From Self unbound: ego dissolution in psychedelic experience (2017) · cites this paper as Carhart-Harris et al. (2014)
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“It has been demonstrated with functional magnetic resonance imaging (fMRI) that during psychedelic experience, the DMN is modulated, which sharply reduces blood flow and connection within its nodes [46], leading to decreased functional connectivity within the DMN and increased between-network connectivity [47, 48].”
From Mindfulness meditation and psychedelics: potential synergies and commonalities (2023) · cites this paper as [46]
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“This Default Mode Network is usually active in meta-cognition, day-dreaming, reflecting on memories, but is apparently disabled by psychedelics (Carhart-Harris et al., 2014).”
From The therapeutic potentials of Ayahuasca: possible effects against various diseases of civilization (2016) · cites this paper as Carhart-Harris et al., 2014
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“Psychedelics alter this relaxed brain function by reducing cerebral blood flow and the oscillatory power in brain areas of the Default Mode Network that are typically synchronized and functionally connected.”
From The therapeutic potentials of Ayahuasca: possible effects against various diseases of civilization (2016) · cites this paper as Carhart-Harris et al., 2014
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Cites
The Standard Edition of the Complete Psychological Works of Sigmund Freud
Freud, S. (1953) · Cited by 17,730
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 19×
“A key hypothesis of this article is that it is through the development of self-organized activity in the DMN [and concomitant entropy/uncertainty/disorder minimization (Friston, 2010)] that a coherent sense of self or “ego” emerges (Carhart-Harris and Friston, 2010).”
BackgroundMethodResultInfluentialSelf-organized criticality: An explanation of the 1/ f noise
Bak, P., Tang, C., & Wiesenfeld, K. A. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.381 · Cited by 7,644
2. The Interpretation of Dreams
Freud, S., Crick, J., & Robertson, R. (1913) · Oxford University Press eBooks · doi:10.1037/10561-000 · Cited by 6,979
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
(2023) · doi:10.1126/science · Cited by 6,063
The varieties of religious experience: A study in human nature.
James, W. (1902) · doi:10.1037/10004-000 · Cited by 5,204
Flagged first, then by citations
12 of the 255 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Freud S. (1949). An Outline of Psycho-Analysis. Hogarth Press, [S.l.].
- Hutson M. (2012). The 7 Laws of Magical Thinking: How Irrational Beliefs Keep Us Happy, Healthy, and Sane. New York, NY: Hudson Street Press
- Jung C. G. (1982a). Dreams. London: Routledge and Kegan Paul
- Monroe R. R. Heath R. G. (1961). Effects of lysergic acid and various derivatives on depth and cortical electrograms. J. Neuropsychiatr. 3, 75– 82 14475431
Cited by
Sorted by citations
Griffiths, R. R., Johnson, M. W., Carducci, M. A., Umbricht, A., Richards, W. A., Richards, B. D., Cosimano, M. P., & Klinedinst, M. A. (2016) · Journal of Psychopharmacology · doi:10.1177/0269881116675513 · Cited by 2,201
“As a 5-HT2A agonist, the psilocybin metabolite psilocin directly and indirectly affects various brain cortical and subcortical areas and alters brain network dynamics (Carhart-Harris et al., 2012, 2014; Vollenweider and Kometer, 2010).”
BackgroundNichols, D. E. (2016) · Pharmacological Reviews · doi:10.1124/pr.115.011478 · Cited by 1,762
Ross, S., Bossis, A., Guss, J., Agin-Liebes, G., Malone, T., Cohen, B., Mennenga, S. E., Belser, A., Kalliontzi, K., Babb, J., et al. (2016) · Journal of Psychopharmacology · doi:10.1177/0269881116675512 · Cited by 1,698
REBUS and the anarchic brain: Toward a unified model of the brain action of psychedelics
Carhart-Harris, R. L., & Friston, K. J. (2019) · Pharmacological Reviews · doi:10.1124/pr.118.017160 · Cited by 1,180
Pilot study of the 5-HT 2A R agonist psilocybin in the treatment of tobacco addiction
Johnson, M. W., Garcia-Romeu, A., Cosimano, M. P., & Griffiths, R. R. (2014) · Journal of Psychopharmacology · doi:10.1177/0269881114548296 · Cited by 914
“Several plausible mechanisms of hallucinogen-facilitated treatments have been proposed (Bogenschutz and Pommy, 2012; Carhart-Harris et al., 2012, 2014; Ross, 2012; Vollenweider and Kometer, 2010).”
BackgroundNeural correlates of the LSD experience revealed by multimodal neuroimaging
Carhart-Harris, R. L., Muthukumaraswamy, S., Roseman, L., Kaelen, M., Droog, W., Murphy, K., Tagliazucchi, E., Schenberg, E. E., Nest, T., Orban, C., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518377113 · Cited by 859
Self-citationZaccaro, A., Piarulli, A., Laurino, M., Garbella, E., Menicucci, D., Neri, B., & Gemignani, A. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00353 · Cited by 820
Roseman, L., Nutt, D. J., & Carhart-Harris, R. L. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00974 · Cited by 808
Serotonin and brain function: a tale of two receptors
Carhart-Harris, R., & Nutt, D. (2017) · Journal of Psychopharmacology · doi:10.1177/0269881117725915 · Cited by 739
Psychedelics and Psychedelic-Assisted Psychotherapy
Reiff, C. M., Richman, E. E., Nemeroff, C. B., Carpenter, L. L., Widge, A. S., Rodriguez, C. I., Kalin, N. H., McDonald, W. M., & and the Work Group on Biomarkers and Novel Treatments, A. D. O. T. A. P. A. C. O. R. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.19010035 · Cited by 649
Understanding the Higher-Order Approach to Consciousness
Brown, R., Lau, H., & LeDoux, J. E. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.06.009 · Cited by 573
Psychedelic drugs: neurobiology and potential for treatment of psychiatric disorders
Vollenweider, F. X., & Preller, K. H. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0367-2 · Cited by 570
Psilocybin for treatment-resistant depression: fMRI-measured brain mechanisms
Carhart-Harris, R. L., Roseman, L., Bolstridge, M., Demetriou, L., Pannekoek, J. N., Wall, M. B., Tanner, M., Kaelen, M., McGonigle, J., Murphy, K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13282-7 · Cited by 587
Self-citationMapping the self in the brain's default mode network
Davey, C. G., Pujol, J., & Harrison, B. J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.022 · Cited by 559
The entropic brain - revisited
Carhart-Harris, R. L. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.03.010 · Cited by 522
Self-citationIncreased global functional connectivity correlates with LSD-induced ego dissolution
Tagliazucchi, E., Roseman, L., Kaelen, M., Orban, C., Muthukumaraswamy, S. D., Murphy, K., Laufs, H., Leech, R., McGonigle, J., Crossley, N., et al. (2016) · Current Biology · doi:10.1016/j.cub.2016.02.010 · Cited by 503
Johnson, M. W., Hendricks, P. S., Barrett, F. S., & Griffiths, R. R. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.11.010 · Cited by 506
Ego-dissolution and psychedelics: validation of the ego-dissolution inventory (EDI).
Nour, M. M., Evans, L., Nutt, D., & Carhart-Harris, R. L. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00269 · Cited by 470
Gasser, P., Kirchner, K., & Passie, T. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881114555249 · Cited by 456
Psychedelics, meditation, and self-consciousness
Millière, R., Carhart-Harris, R. L., Roseman, L., Trautwein, F.-M., & Berkovich-Ohana, A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01475 · Cited by 390
Increased spontaneous MEG signal diversity for psychoactive doses of ketamine, LSD and psilocybin
Schartner, M. M., Carhart-Harris, R. L., Barrett, A. B., Seth, A. K., & Muthukumaraswamy, S. D. (2017) · Scientific Reports · doi:10.1038/srep46421 · Cited by 410
Self-citationEnhanced repertoire of brain dynamical states during the psychedelic experience
Tagliazucchi, E., Carhart-Harris, R. L., Leech, R., Nutt, D., & Chialvo, D. R. (2014) · Human Brain Mapping · doi:10.1002/hbm.22562 · Cited by 412
Hendricks, P. S., Thorne, C. B., Clark, C. B., Coombs, D. W., & Johnson, M. W. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881114565653 · Cited by 410
Davis, A. K., Barrett, F. S., & Griffiths, R. R. (2020) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2019.11.004 · Cited by 375
Emotions and brain function are altered up to one month after a single high dose of psilocybin.
Barrett, F. S., Doss, M. K., Sepeda, N. D., Pekar, J. J., & Griffiths, R. R. (2020) · Scientific Reports · doi:10.1038/s41598-020-59282-y · Cited by 375
Psychedelics as Medicines: An Emerging New Paradigm
Nichols, D. E., Johnson, M., & Nichols, C. (2016) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.557 · Cited by 397
Barrett, F. S., Bradstreet, M. P., Leoutsakos, J.-M. S., Johnson, M. W., & Griffiths, R. R. (2016) · Journal of Psychopharmacology · doi:10.1177/0269881116678781 · Cited by 366
“…al, 2015; Griffiths et al., 2006, 2011) or spiritual (Kometer et al., 2015) experiences, changes in self-referential processing or “ego dissolution” (Carhart-Harris et al., 2014; Tagliazucchi et al., 2016), altered social processing (Preller et al., 2016), visual imagery (Kaelen et al., 2016),…”
Doss, M. K., Považan, M., Rosenberg, M. D., Sepeda, N. D., Davis, A. K., Finan, P. H., Smith, G. S., Pekar, J. J., Barker, P. B., Griffiths, R. R., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01706-y · Cited by 356
Finding the self by losing the self: neural correlates of ego-dissolution under psilocybin
Lebedev, A. V., Lövdén, M., Rosenthal, G., Feilding, A., Nutt, D. J., & Carhart-Harris, R. L. (2015) · Human Brain Mapping · doi:10.1002/hbm.22833 · Cited by 339
Self-citationLSD enhances suggestibility in healthy volunteers
Carhart-Harris, R. L., Kaelen, M., Whalley, M. G., Bolstridge, M., Feilding, A., & Nutt, D. J. (2015) · Psychopharmacology · doi:10.1007/s00213-014-3714-z · Cited by 320
Self-citationSchartner, M., Seth, A., Noirhomme, Q., Boly, M., Bruno, M.-A., Laureys, S., & Barrett, A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0133532 · Cited by 287
“The entropic brain hypothesis of Carhart-Harris et al [51] states that there is correlation between the degree of overall randomness (entropy, differentiation) in brain dynamics and ‘vividness of cognition’, locating brain states such as coma, anaesthesia and deep sleep at relatively low entropy, wakeful rest at inter…”
BackgroundColombo, M. A., Napolitani, M., Boly, M., Gosseries, O., Casarotto, S., Rosanova, M., Brichant, J. F., Boveroux, P., Rex, S., Laureys, S., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.024 · Cited by 348
LSD‐induced entropic brain activity predicts subsequent personality change
Lebedev, A. V., Kaelen, M., Lövdén, M., Nilsson, J., Feilding, A., Nutt, D. J., & Carhart‐Harris, R. L. (2016) · Human Brain Mapping · doi:10.1002/hbm.23234 · Cited by 303
Neural correlates of the DMT experience assessed with multivariate EEG
Timmermann, C., Roseman, L., Schartner, M., Milliere, R., Williams, L. T. J., Erritzoe, D., Muthukumaraswamy, S., Ashton, M., Bendrioua, A., Kaur, O., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-51974-4 · Cited by 315
Self-citationdos Santos, R. G., Osório, F. L., Crippa, J. A. S., Riba, J., Zuardi, A. W., & Hallak, J. E. C. (2016) · Therapeutic Advances in Psychopharmacology · doi:10.1177/2045125316638008 · Cited by 306
The paradoxical psychological effects of lysergic acid diethylamide LSD
Carhart-Harris, R. L., Kaelen, M., Bolstridge, M., Williams, T. M., Williams, L. T., Underwood, R., Feilding, A., & Nutt, D. J. (2016) · Psychological Medicine · doi:10.1017/s0033291715002901 · Cited by 293
Self-citationSelf unbound: ego dissolution in psychedelic experience
Letheby, C., & Gerrans, P. (2017) · Neuroscience of Consciousness · doi:10.1093/nc/nix016 · Cited by 293
“This connects with earlier findings of MTL–DMN decoupling under psilocybin (Carhart-Harris et al. 2014)—though in the earlier studies, this decoupling did not significantly predict ego dissolution, while in the Lebedev et al.”
ResultConsciousness-specific dynamic interactions of brain integration and functional diversity
Luppi, A. I., Craig, M. M., Pappas, I., Finoia, P., Williams, G. B., Allanson, J., Pickard, J. D., Owen, A. M., Naci, L., Menon, D. K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12658-9 · Cited by 251
Classic Hallucinogens and Mystical Experiences: Phenomenology and Neural Correlates
Barrett, F. S., & Griffiths, R. R. (2017) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2017_474 · Cited by 273
Psilocybin desynchronizes the human brain
Siegel, J. S., Subramanian, S., Perry, D., Kay, B. P., Gordon, E. M., Laumann, T. O., Reneau, T. R., Metcalf, N. V., Chacko, R. V., Gratton, C., et al. (2024) · Nature · doi:10.1038/s41586-024-07624-5 · Cited by 308
Roseman, L., Leech, R., Feilding, A., Nutt, D., & Carhart-Harris, R. L. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00204 · Cited by 285
Effective connectivity changes in LSD-induced altered states of consciousness in humans
Preller, K. H., Razi, A., Zeidman, P., Stämpfli, P., Friston, K. J., & Vollenweider, F. X. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815129116 · Cited by 292
Psychedelics and connectedness
Carhart-Harris, R. L., Erritzøe, D., Haijen, E. C. H. M., Kaelen, M., & Watts, R. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4701-y · Cited by 278
Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep
Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K. M., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08934-3 · Cited by 265
Northoff, G., Wainio‐Theberge, S., & Evers, K. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2019.05.002 · Cited by 272
Mason, N. L., Kuypers, K. P. C., Müller, F., Reckweg, J., Tse, D. H. Y., Toennes, S. W., Hutten, N. R. P. W., Jansen, J. F. A., Stiers, P., Feilding, A., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0718-8 · Cited by 258
Self-citationLong-term effects of psychedelic drugs: A systematic review
Aday, J. S., Mitzkovitz, C. M., Bloesch, E. K., Davoli, C. C., & Davis, A. K. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.03.017 · Cited by 279
Northoff, G., & Lamme, V. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.07.019 · Cited by 247
Smigielski, L., Scheidegger, M., Kometer, M., & Vollenweider, F. X. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.009 · Cited by 248
Default Mode Network Modulation by Psychedelics: A Systematic Review
Gattuso, J. J., Perkins, D., Ruffell, S., Lawrence, A. J., Hoyer, D., Jacobson, L. H., Timmermann, C., Castle, D., Rossell, S. L., Downey, L. A., et al. (2023) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyac074 · Cited by 256
Self-citationPsychedelic-Assisted Psychotherapy: A Paradigm Shift in Psychiatric Research and Development
Schenberg, E. E. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00733 · Cited by 270
Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics
Shine, J. M., Müller, E. J., Munn, B., Cabral, J., Moran, R., & Breakspear, M. J. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00824-6 · Cited by 249
The Therapeutic Potential of Psilocybin
Lowe, H. I. C., Toyang, N. J., Steele, B., Valentine, H., Grant, J., Ali, A., Ngwa, W. F., & Gordon, L. (2021) · Molecules · doi:10.3390/molecules26102948 · Cited by 282
The therapeutic potentials of Ayahuasca: possible effects against various diseases of civilization
Frecska, E., Bokor, P., & Winkelman, M. (2016) · Frontiers in Pharmacology · doi:10.3389/fphar.2016.00035 · Cited by 242
Lau, Z. J., Pham, T., Chen, S. A., & Makowski, D. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15800 · Cited by 250
Modern clinical research on LSD
Liechti, M. E. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.86 · Cited by 236
A systematic study of microdosing psychedelics
Polito, V., & Stevenson, R. J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211023 · Cited by 235
Atasoy, S., Roseman, L., Kaelen, M., Kringelbach, M. L., Deco, G., & Carhart-Harris, R. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-17546-0 · Cited by 214
Phenomenology, Structure, and Dynamic of Psychedelic States
Preller, K. H., & Vollenweider, F. X. (2016) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2016_459 · Cited by 282
Computational network biology: Data, models, and applications
Liu, C., Ma, Y., Zhao, J., Nussinov, R., Zhang, Y., Cheng, F., & Zhang, Z. (2019) · Physics Reports · doi:10.1016/j.physrep.2019.12.004 · Cited by 230
Pharmacological, neural, and psychological mechanisms underlying psychedelics: A critical review
van Elk, M., & Yaden, D. B. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104793 · Cited by 221
Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin
Lord, L.-D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K. M., Lambiotte, R., Nutt, D., Deco, G., Carhart-Harris, R. L., Kringelbach, M. L., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.060 · Cited by 221
Human brain effects of DMT assessed via EEG-fMRI
Timmermann, C., Roseman, L., Haridas, S., Rosas, F. E., Luan, L., Kettner, H., Martell, J., Erritzøe, D., Tagliazucchi, E., Pallavicini, C., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2218949120 · Cited by 232
Northoff, G. (2015) · Cognitive Neuroscience · doi:10.1080/17588928.2015.1111868 · Cited by 229
Millière, R. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00245 · Cited by 206
Hard criteria for empirical theories of consciousness
Doerig, A., Schurger, A., & Herzog, M. H. (2021) · Cognitive Neuroscience · doi:10.1080/17588928.2020.1772214 · Cited by 194
“…(and not unconscious) states and their changes, such as how consciousness changes under the influence of LSD, other psychotropic substances or meditation (Carhart-Harris et al., 2014; Lutz et al., 2007), or track changes in body ownership and map them to brain states (Faivre et al., 2015).”
BackgroundClinical applications of hallucinogens: a review
Garcia-Romeu, A., Kersgaard, B., & Addy, P. H. (2016) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000084 · Cited by 201
Models of psychedelic drug action: modulation of cortical-subcortical circuits
Doss, M. K., Madden, M. B., Gaddis, A., Nebel, M. B., Griffiths, R. R., Mathur, B. N., & Barrett, F. S. (2021) · Brain · doi:10.1093/brain/awab406 · Cited by 217
Consciousness among delta waves: a paradox?
Frohlich, J., Toker, D., & Monti, M. M. (2021) · Brain · doi:10.1093/brain/awab095 · Cited by 204
Why Brain Criticality Is Clinically Relevant: A Scoping Review
Zimmern, V. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00054 · Cited by 208
Garcia‐Romeu, A., & Richards, W. A. (2018) · International Review of Psychiatry · doi:10.1080/09540261.2018.1486289 · Cited by 210
Predictive uncertainty in auditory sequence processing
Hansen, N. C., & Pearce, M. T. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01052 · Cited by 188
Changes in EEG multiscale entropy and power‐law frequency scaling during the human sleep cycle
Miskovic, V., MacDonald, K. J., Rhodes, L. J., & Côté, K. A. (2018) · Human Brain Mapping · doi:10.1002/hbm.24393 · Cited by 186
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Metadata
- Authors
- Carhart-Harris, R. L., Leech, R., Hellyer, P. J., Shanahan, M., Feilding, A., Tagliazucchi, E., Chialvo, D. R., & Nutt, D.
- Affiliations
- Imperial College London (GB)
- Beckley Foundation (GB)
- Goethe University Frankfurt (DE)
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Corresponding author
- Carhart-Harris, Robin L.
- ORCID
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2014
- Volume
- 8
- Pages
- 20-20
- ISSN
- 1662-5161 (ISSN-L)
- PMC
- PMC3909994
- OpenAlex
- W2109543774
- Cited by
- 1,252
- References
- 255
- Citations by year
- 2026: 145 · 2025: 169 · 2024: 169 · 2023: 157 · 2022: 152 · 2021: 112 · 2020: 85 · 2019: 71 · 2018: 59 · 2017: 54 · 2016: 42 · 2015: 17 · 2014: 13
- FWCI
- 49.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Human Neuroscience (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Americanae (AECID Library) (submittedVersion, cc-by-nc-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Greater South Information System
- Funders
- Medical Research Council (MR/J00460X/1)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Psychedelics and Drug Studies
- Social Sciences › Psychology › Social Psychology › Paranormal Experiences and Beliefs
- Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
- Keywords
- entropy (information theory), states of consciousness, psychedelic states, psilocybin, criticality, power-law scaling, default mode network, medial temporal lobe, self-awareness, reality testing, metacognition, REM sleep, early psychosis, anesthesia
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