Psychedelics and schizophrenia: Distinct alterations to Bayesian inference
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Published version
Author(s)
Rajpal, Hardik
Martinez Mediano, Pedro Antonio
Rosas De Andraca, Fernando Ernesto
Timmermann Slater, Christopher Bernhard
Brugger, Stefan
Type
Journal Article
Abstract
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.
Date Issued
2022-11-01
Date Acceptance
2022-09-10
Citation
NeuroImage, 2022, 263
ISSN
1053-8119
Publisher
Elsevier
Journal / Book Title
NeuroImage
Volume
263
Copyright Statement
© 2022 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Subjects
Science & Technology
Life Sciences & Biomedicine
Neurosciences
Neuroimaging
Radiology, Nuclear Medicine & Medical Imaging
Neurosciences & Neurology
Psychedelics
Schizophrenia
Information theory
Predictive processing
EEG COMPLEXITY
BRAIN
PSYCHOSIS
HALLUCINATIONS
SYMPTOMS
MODEL
PSYCHIATRY
PSILOCYBIN
TOOLBOX
NETWORK
Information theory
Predictive processing
Psychedelics
Schizophrenia
Neurology & Neurosurgery
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
Publication Status
Published
Article Number
ARTN 119624
Date Publish Online
2022-09-13