Psychedelics and schizophrenia: Distinct alterations to Bayesian inference.

Autor: Rajpal H; Centre for Complexity Science, Imperial College London, South Kensington, London, United Kingdom; Department of Mathematics, Imperial College London, South Kensington, London, United Kingdom; Public Policy Program, The Alan Turing Institute, London, United Kingdom. Electronic address: h.rajpal15@imperial.ac.uk., Mediano PAM; Department of Computing, Imperial College London, South Kensington, London, United Kingdom; Department of Psychology, University of Cambridge, Cambridge, United Kingdom; Department of Psychology, Queen Mary University of London, London, United Kingdom. Electronic address: pmediano@imperial.ac.uk., Rosas FE; Centre for Complexity Science, Imperial College London, South Kensington, London, United Kingdom; Centre for Psychedelic Research, Department of Brain Sciences, Imperial College London, London, United Kingdom; Data Science Institute, Imperial College London, London, United Kingdom; Department of Informatics, University of Sussex, Brighton, United Kingdom., Timmermann CB; Centre for Psychedelic Research, Department of Brain Sciences, Imperial College London, London, United Kingdom., Brugger S; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, United Kingdom; Centre for Academic Mental Health, Bristol Medical School, University of Bristol, United Kingdom., Muthukumaraswamy S; School of Pharmacy, The University of Auckland, New Zealand., Seth AK; School of Engineering and Informatics, University of Sussex, United Kingdom; CIFAR Program on Brain, Mind, and Consciousness, Toronto, Canada., Bor D; Department of Psychology, University of Cambridge, Cambridge, United Kingdom; Department of Psychology, Queen Mary University of London, London, United Kingdom., Carhart-Harris RL; Centre for Psychedelic Research, Department of Brain Sciences, Imperial College London, London, United Kingdom; Psychedelics Division, Neuroscape, Department of Neurology, University of California San Francisco, US., Jensen HJ; Centre for Complexity Science, Imperial College London, South Kensington, London, United Kingdom; Department of Mathematics, Imperial College London, South Kensington, London, United Kingdom; Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Jazyk: angličtina
Zdroj: NeuroImage [Neuroimage] 2022 Nov; Vol. 263, pp. 119624. Date of Electronic Publication: 2022 Sep 13.
DOI: 10.1016/j.neuroimage.2022.119624
Abstrakt: Schizophrenia and states induced by certain psychotomimetic drugs may share some physiological and phenomenological properties, but they differ in fundamental ways: one is a crippling chronic mental disease, while the others are temporary, pharmacologically-induced states presently being explored as treatments for mental illnesses. Building towards a deeper understanding of these different alterations of normal consciousness, here we compare the changes in neural dynamics induced by LSD and ketamine (in healthy volunteers) against those associated with schizophrenia, as observed in resting-state M/EEG recordings. While both conditions exhibit increased neural signal diversity, our findings reveal that this is accompanied by an increased transfer entropy from the front to the back of the brain in schizophrenia, versus an overall reduction under the two drugs. Furthermore, we show that these effects can be reproduced via different alterations of standard Bayesian inference applied on a computational model based on the predictive processing framework. In particular, the effects observed under the drugs are modelled as a reduction of the precision of the priors, while the effects of schizophrenia correspond to an increased precision of sensory information. These findings shed new light on the similarities and differences between schizophrenia and two psychotomimetic drug states, and have potential implications for the study of consciousness and future mental health treatments.
(Copyright © 2022. Published by Elsevier Inc.)
Databáze: MEDLINE