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• Journal article
  Szigeti B, Phillips LDD, Nutt D, 2023,

  Bayesian analysis of real-world data as evidence for drug approval: Remembering Sir Michael Rawlins

  , BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, ISSN: 0306-5251
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• Journal article
  Luppi AI, Cabral J, Cofre R, Mediano PAM, Rosas FE, Qureshi AY, Kuceyeski A, Tagliazucchi E, Raimondo F, Deco G, Shine JM, Kringelbach ML, Orio P, Ching S, Perl YS, Diringer MN, Stevens RD, Sitt JDet al., 2023,

  Computational modelling in disorders of consciousness: closing the gap towards personalised models for restoring consciousness

  , NeuroImage, Vol: 275, ISSN: 1053-8119

  Disorders of consciousness are complex conditions characterised by persistent loss of responsiveness due to brain injury. They present diagnostic challenges and limited options for treatment, and highlight the urgent need for a more thorough understanding of how human consciousness arises from coordinated neural activity. The increasing availability of multimodal neuroimaging data has given rise to a wide range of clinically- and scientifically-motivated modelling efforts, seeking to improve data-driven stratification of patients, to identify causal mechanisms for patient pathophysiology and loss of consciousness more broadly, and to develop simulations as a means of testing in silico potential treatment avenues to restore consciousness. As a dedicated Working Group of clinicians and neuroscientists of the international Curing Coma Campaign, here we provide our framework and vision to understand the diverse statistical and generative computational modelling approaches that are being employed in this fast-growing field. We identify the gaps that exist between the current state-of-the-art in statistical and biophysical computational modelling in human neuroscience, and the aspirational goal of a mature field of modelling disorders of consciousness; which might drive improved treatments and outcomes in the clinic. Finally, we make several recommendations for how the field as a whole can work together to address these challenges.

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• Journal article
  Wall MB, Lam C, Ertl N, Kaelen M, Roseman L, Nutt DJ, Carhart-Harris RLet al., 2023,

  Increased low-frequency brain responses to music after psilocybin therapy for depression

  , JOURNAL OF AFFECTIVE DISORDERS, Vol: 333, Pages: 321-330, ISSN: 0165-0327
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  • Citations: 2
• Journal article
  Delli Pizzi S, Chiacchiaretta P, Sestieri C, Ferretti A, Onofrj M, Della Penna S, Roseman L, Timmermann C, Nutt DJ, Carhart-Harris RL, Sensi SLet al., 2023,

  Spatial Correspondence of LSD-Induced Variations on Brain Functioning at Rest With Serotonin Receptor Expression

  , BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, Vol: 8, Pages: 768-776, ISSN: 2451-9022
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• Journal article
  Weiss B, Erritzoe D, Giribaldi B, Nutt DJ, Carhart-Harris RLet al., 2023,

  A critical evaluation of QIDS-SR-16 using data from a trial of psilocybin therapy versus escitalopram treatment for depression

  , JOURNAL OF PSYCHOPHARMACOLOGY, Vol: 37, Pages: 717-732, ISSN: 0269-8811
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  • Citations: 2
• Journal article
  Morales PA, Korbel J, Rosas FE, 2023,

  Thermodynamics of exponential Kolmogorov-Nagumo averages

  , New Journal of Physics, Vol: 25, ISSN: 1367-2630

  This paper investigates generalized thermodynamic relationships in physical systems where relevant macroscopic variables are determined by the exponential Kolmogorov–Nagumo average. We show that while the thermodynamic entropy of such systems is naturally described by Rényi's entropy with parameter γ, an ordinary Boltzmann distribution still describes their statistics under equilibrium thermodynamics. Our results show that systems described by exponential Kolmogorov–Nagumo averages can be interpreted as systems originally in thermal equilibrium with a heat reservoir with inverse temperature β that are suddenly quenched to another heat reservoir with inverse temperature $\beta^{^{\prime}} = (1-\gamma)\beta$. Furthermore, we show the connection with multifractal thermodynamics. For the non-equilibrium case, we show that the dynamics of systems described by exponential Kolmogorov–Nagumo averages still observe a second law of thermodynamics and the H-theorem. We further discuss the applications of stochastic thermodynamics in those systems—namely, the validity of fluctuation theorems—and the connection with thermodynamic length.

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• Journal article
  Jauhar S, Arnone D, Baldwin DS, Bloomfield M, Browning M, Cleare AJ, Corlett P, Deakin JFW, Erritzoe D, Fu C, Fusar-Poli P, Goodwin GM, Hayes J, Howard R, Howes OD, Juruena MF, Lam RW, Lawrie SM, McAllister-Williams H, Marwaha S, Matuskey D, McCutcheon RA, Nutt DJ, Pariante C, Pillinger T, Radhakrishnan R, Rucker J, Selvaraj S, Stokes P, Upthegrove R, Yalin N, Yatham L, Young AH, Zahn R, Cowen PJet al., 2023,

  A leaky umbrella has little value: evidence clearly indicates the serotonin system is implicated in depression

  , MOLECULAR PSYCHIATRY, ISSN: 1359-4184
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  • Citations: 1
• Journal article
  Luppi AI, Hansen JY, Adapa R, Carhart-Harris RL, Roseman L, Timmermann C, Golkowski D, Ranft A, Llg R, Jordan D, Bonhomme V, Vanhaudenhuyse A, Demertzi A, Jaquet O, Bahri MA, Alnagger NLN, Cardone P, Peattie ARD, Mantelow AE, de Araujo DB, Ilg R, Sensi SL, Owen AM, Naci L, Melon DK, Misic B, Stamatakis EAet al., 2023,

  In vivo mapping of pharmacologically induced functional reorganization onto the human brain's neurotransmitter landscape

  , SCIENCE ADVANCES, Vol: 9, ISSN: 2375-2548
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• Journal article
  Erritzoe D, Godlewska BR, Rizzo G, Searle GE, Agnorelli C, Lewis Y, Ashok AH, Colasanti A, Boura I, Farrell C, Parfitt H, Howes O, Passchier J, Gunn RN, Politis M, Nutt DJ, Cowen PJ, Knudsen GM, Rabiner EAet al., 2023,

  Brain Serotonin Release Is Reduced in Patients With Depression: A [11C]Cimbi-36 Positron Emission Tomography Study With a d-Amphetamine Challenge

  , BIOLOGICAL PSYCHIATRY, Vol: 93, Pages: 1089-1098, ISSN: 0006-3223
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  • Citations: 13
• Journal article
  Rabiner EA, Agnorelli C, Howes O, Nutt DJ, Cowen PJ, Erritzoe Det al., 2023,

  Reply to: No Clear Evidence of Reduced Brain Serotonin Release Capacity in Patients With Depression

  , BIOLOGICAL PSYCHIATRY, Vol: 93, Pages: E53-E54, ISSN: 0006-3223
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