Abstract
Evidence suggests classic psychedelics reduce the precision of belief updating and enable access to a range of alternate hypotheses that underwrite how we make sense of the world. This process, in the higher cortices, has been postulated to explain the therapeutic efficacy of psychedelics for the treatment of internalizing disorders. We argue reduced precision also underpins change to consciousness, known as “ego dissolution,” and that alterations to consciousness and attention under psychedelics have a common mechanism of reduced precision of Bayesian belief updating. Evidence, connecting the role of serotonergic receptors to large-scale connectivity changes in the cortex, suggests the precision of Bayesian belief updating may be a mechanism to modify and investigate consciousness and attention.
Introduction
Classic psychedelics, including psilocybin and lysergic diethylamide acid (LSD), at sufficient doses, can induce a range of subjective effects that include visual alterations (Studerus et al., 2012), altered perception of time (Wittmann et al., 2007) and shifts in attention and perspective that reframe the relationship of self with the world (Swanson, 2018). This latter phenomenon, known as ego dissolution, is suggested to be the fundamental feature of classic psychedelic psychoactive effects (Stoliker et al., 2021). Ego dissolution, or the shift in sense of self and dissolution of boundary between the self and world (; ), has been validated as a measurable construct on the Ego Dissolution Inventory1 (), with evidence suggesting that therapeutic outcomes are tied to its occurrence2 (; ; ; ; Yaden and Griffiths, 2020). Ego dissolution and all subjective effects from classic psychedelics originate from the binding kinetics of the 5-HT2A receptor to psychedelic compounds (; ) with other 5-HT receptors and is suggested to mediate psychedelic experiences (Vollenweider and Preller, 2020). The 5-HT2A is a serotonergic receptor involved in attention, especially in the prediction of the cause of sensory impressions and the consequences of self-initiated actions ().
The influence of psychedelics on serotonergic receptors are thought to underpin the veracity of beliefs by alterations to predictive processing (). Predictive processing describes the interplay between ascending neuronal signals—in the form of ascending prediction errors—and descending predictions of the cortical hierarchy that embody internal world models (; ). Synaptic communication between each layer of the cortical hierarchy and the layer immediately preceding it compares predictions and prediction errors to fulfill the core function of the brain: to reduce surprise (; ; ). Surprise (surprisal) is described mathematically by the Free Energy Principle (FEP), as minimizing (variational) free energy (; ). Ascending signals which contradict predictions generate prediction errors which are “surprising” and therefore garner attentional resources. Access to the appropriate level of the cortical processing hierarchy which hosts sufficient associative complexity is necessary to resolve the prediction error and thereby minimize surprise3 (). This can occur through predictive processes that guide attention to update predictions ()4 or by initiation of actions on the world to align sensory evidence with predictions ().5 Both strategies operate to minimize the difference (i.e., prediction error) between predictions and the sensory input.
The function of the cortical hierarchy to minimize surprise (or prediction errors)—according to the predictive coding paradigm—entails the maintenance of a generative model of the world which hosts beliefs about the causes and consequences of exogenous and endogenous sensations6 (; ). A cornerstone of the generative aspect of the model is the ability to update beliefs.7 Belief updating, known as Bayesian inference, represents a unifying principle in neural computation (). The nervous system forms a model of the cause and effect structure of the world (i.e., the causes of sensation and consequences of action) and according to Bayes’ rule reduces prediction errors by updating estimates of the likely causes of sensory information. These estimations are biased by prior beliefs derived by internal (generative) models of the causal structure of the world. Once a causal explanation of prediction errors is produced, prior beliefs are able to update, and form new posterior beliefs (). Belief updating is (here suggested as) the process of moment-to-moment experience witnessed as consciousness and influenced by attention.
Beyond the role of prediction of the nature of sensory signals, predictive processing also estimates a signal to noise ratio of prediction errors that modulate how prediction errors can be used to update predictions across the predictive hierarchy. This measure of certainty of sensory signals, known as precision, acts as a neural implementation of attention between layers of the cortical hierarchy—for example, in low levels of the hierarchy that precede conscious awareness (; Yon and Frith, 2021). The generative model encodes the causes of sensory states, and the confidence of predictions, in predictive processes which are more or less independent of high-level beliefs. For example, in the immediate (unconscious) inference about hidden states of the world through the construction of sensory impressions such as vision and audition.8 Information gained from these lower-level sensory impressions may form a prediction error and entail an adjustment of higher-level beliefs. For example, the belief there is no vehicle approaching while crossing a road may be adjusted by receiving updated sensory information of the speedy approach of a vehicle, demonstrating that predictive processing between ascending sensation and descending cognition (i.e., predictions) coordinate to update beliefs. When the prediction of a particular level in the hierarchy requires an update (i.e., experiences contradiction), the prediction error is attended and granted access to higher levels where prediction errors are resolved. In the above case, high level cognitive beliefs are updated, and action may be taken to minimize the error in the prior belief to avoid being struck by a moving vehicle. This mechanism requires that sensory prediction errors have a pathway facilitated through automated (sub-personal) attention to a higher processing level where conscious cognitive processes are able to minimize an error using top-down attentional resources. Predictive processing therefore suggests a means to examine and understand cognition—not an entirely new endeavor (; ). Attempts to bridge alternate methods of examining cognition, such as the analysis of large-scale resting state network connectivity, may aid the interpretation of predictive processes in consciousness and attention. Psychedelics present a unique opportunity to observe changes to large-scale connectivity in an altered state of consciousness that influences attention. We suggest precision—which corresponds to the modulation of prediction error signals underlying attention in predictive processing—may help unify multiscale connectivity changes and advance our understanding of consciousness and attention.
Precision—or the inverse of the variance of a signal (or noise)—is explored in this work as a bridge that connects belief updating across predictive processing with large-scale brain connectivity. Precision is thought to play a key role in predictive processes that encode predictions of sensory stimuli by encoding the intrinsic uncertainty of predictions that select channels of attention and their salience (; ; ). Precision is useful in a dynamic environment by allowing a generative model of any organism to estimate a level of uncertainty about beliefs and their causal construction. This affords the opportunity to grant flexibility that enables adaptation to changing contexts. Precision can be modeled as a probabilistic range of prior alternate hypotheses about the causes of sensory information. Very confident beliefs represent high precision of neuronal signalling and suggest a lower probability that alternate hypotheses will be cognitively explored through attention and subsequently selected. In the instance of crossing the road, a very precise belief that there is no oncoming traffic may preclude attentional mechanisms from initiating an action to visually scanning the road before attempting to cross based on exogenous sensory evidence. However, more abstract beliefs related to endogenous sensory evidence and the generative model of the self and world are similarly able to undergo updating. For example, a prior belief about the honesty of a person may be updated by contradictory sensory information. Greater precision of beliefs at higher levels of the cortical processing hierarchy is indicative of an individual’s confidence in the accuracy of their generative model of the world.9 This confidence can modulate precision (and thus attentional resources) to the prediction errors at lower levels of the hierarchy (Yon and Frith, 2021). Consequently, a high level of belief in the honesty of, for example, one’s partner, may inhibit contrary sensory evidence from updating interpersonal or abstract (higher level) beliefs, which suggests a close association of precision to top-down attention that underlies the range of hypotheses and underwrites the updating of conscious beliefs.
Despite precision being closely related to the self, it is significantly dependent on and modulated by neurotransmitter systems (Yon and Frith, 2021). Upper levels of the cortical hierarchy involved in consciousness and attention are abundant in serotonergic 5-HT2A receptors (; ). The crucial role of serotonergic receptors in consciousness and attention is underscored by their function in the prediction of both the cause of sensory impressions and the consequences of self-initiated actions (). Accordingly, agonism of the serotonergic 5-HT2A receptors by psychedelics is thought to reduce the precision of belief updating and reduce the “confidence” (or certainty) in the selection of any one channel of attention (). This has been postulated to afford a greater range of alternate hypotheses associated with the prior beliefs of a generative model (, see Figure 1). The effect of psychedelics on precision is supported by electrophysiological evidence that suggests a “flattening” of the free energy landscape10 (; ), observations of increased entropy () and theorized associations with increases in plasticity11 (; ; ).
FIGURE 1
Ego Dissolution Underlies Therapeutic Benefits of Psychedelics
The previously described mechanisms of precision and predictive processing, as they apply to therapeutic modes of belief updating under psychedelics, are outlined in the 2019 work of
The importance of the self and consciousness and attention in therapeutic outcomes and occurrences of ego dissolution inspire a bottom up and top down approach to understand the influence of precision of belief updating. The bottom-up approach recognizes consciousness as a constructive process of inference operating at the level of neural populations throughout the cortical hierarchy and that precision weighting influences the selection of attentional resources that integrate multimodal sensory connections (
The top-down approach acknowledges the role of precision in high-level cognition associated with large-scale resting state networks (Yon and Frith, 2021). High levels of the cortical hierarchy integrate ascending multimodal signals with reference to the self and redirect attention based on goal directed salience (
Bottom-Up Salience
Phenomenal selfhood, also referred to as the minimal or embodied self, describes the basic, pre-reflective, sense of self as being rooted in sensory motor processes (
Top-Down Salience
The automatic detection of salience from incoming sensory impressions is complemented by a secondary, higher-level, top-down system that similarly scans for salience. This brain system, known as the salience network, is context dependent and directs the focus of attention toward self-relevant, engaging, or rewarding stimuli (
Top-Down Narrative
Salience detection describes a foundation of phenomenal consciousness through ascending predictive processes whilst higher order salience functions of the salience network suggest the concept of top-down goal directed attention between internal and external modes of consciousness. The default mode network is also central to consciousness through its role in self-referential function and maintenance of passive awareness (
Revisiting the Overlap Between Therapeutic Outcomes and Subjective Effects and Belief Updating
Change to salience and the default mode network may affect the foundation of consciousness through altered multimodal integration, direction of attention—and its influence on modes of consciousness—and changes to a stable sense of self-identity. These are considered important facets of ego dissolution that are underwritten by recurrent belief updating to maintain moment-to-moment conscious experience. Underlying large scale brain network connectivity changes, altered 5-HT2A receptor activity affects patterns of synaptic gain and influence the selection of channels attended and the deployment of attentional resources (
Personal beliefs, similar to sub-personal beliefs, may be underwritten by a change to the precision of parameters that constitute a generative model of identity. Although “belief updating” is more intuitively ascribed to beliefs one holds in association to oneself, one’s high- level generative model recurrently updates beliefs that constitute the nature of the self, from which self-held beliefs are hosted. The same predictive processes may then apply to both personal and sub-personal (automatic) forms of belief updating. Beliefs hosted by top-down high-level cortical networks such as the salience network and default mode network are highly distributed with 5-HT2A receptors (
Desegregation and Precision
Figure 2 demonstrates the reduced “top heaviness” and flattening of the cortical hierarchy by reduced precision of beliefs, as reflected by disintegration of connectivity in resting state networks and regional activity. The disintegration of higher levels of the cortical processing hierarchy is observed alongside a secondary outcome of psychedelic-induced connectivity dynamics, which may be relevant to the experience of the dissolution of boundaries and altered multimodal sensory integration. This second effect, coined desegregation, is shown to be positively correlated with ego dissolution (Tagliazucchi et al., 2016). Desegregation describes the abundant deviation of connectivity from functional pathways—or decreased modularity in brain-networks and regions—and is an effect cited in reference to increased complexity—in an information theoretic sense—identified in the psychedelic state (
FIGURE 2

Simplified illustrative description of precision of belief updating along the cortical hierarchy. (A) Precision is represented along scales of the hierarchy and depicts the filtration of sensory impressions to cognition. Predictions and prediction errors can be seen to interact between each layer of the hierarchy, with stronger high-level predictions in the upper levels of the hierarchy. (B) Under psychedelics the precision of belief updating in high level predictions, involved in phenomenal consciousness and narrative self, is reduced. This occurs by belief updating opening alternate hypotheses that undergird neuronal populations “confidence” in the selection, and salience, of attention that integrate phenomenal consciousness and narrative self-identity. Reduced precision is represented by the reduced weight of predictions and increased influence of prediction errors in higher levels of the hierarchy where 5-HT2A receptors are abundant. The change to the precision of belief updating is hypothesized to result in ego dissolution. Elements of this model are inspired by
Increased complexity in the psychedelic state may relate to the important relationship between complexity and accuracy. Efficient communication requires a balance between accuracy (precision) and complexity (information entertained) (
Conclusion
Brain connectivity changes observed in psychedelic imaging research may be explained by the reduced precision of neuronal signaling in top-down and bottom-up hierarchical predictive processes. Under psychedelics, changes to precision are suggested to extend attentional resources to a broader range of hypotheses that operate to minimize prediction errors. Reduced efficiency of error minimization induced by psychedelics can offer the counter intuitive effect of breaking underlying maladaptive patterns of self-belief and offer attention to alternate hypotheses underlying construction of the world. In the light of evidence that psychedelics induce ego dissolution and its association to therapeutic outcomes, we argue that reduced precision alters belief updating which undergirds the phenomenal and narrative self that is experienced as ego dissolution. Psychedelic therapeutic effects may rely on the subjective change to consciousness, through a common change to attention processes underwritten by precision. Phenomenal consciousness and the sense of self are suggested as key facets of ego dissolution which are affected by the reduced confidence in reiterative belief updating under the action of psychedelics.
Precision is suggested to be ubiquitous in the nervous system. Precision bridges predictive processes across unconscious and conscious levels by acting as a measure of confidence. A natural extension to this is that precision of belief updating will then apply to numerous psychedelic effects such as visual hallucinations. Beyond psychedelics, precision may also apply to well-being, psychopathology, and by extension, basic facets of cortical function and perception. Precision may be one step in a complex sequence of interacting predictive process mechanisms. The necessity to comprehensively synthesize mechanisms of precision associated with the dynamics of consciousness and attention are acknowledged, as well as the limitation that precision alone may not provide an exhaustive account of predictive processing or connectivity mechanisms. Other facets of predictive processing, such as reference to the complexity of the generative model, interaction of precision across the hierarchy, and with the environment are equally important.14 However, precision does provide an intuitive way to interpret the translation of neural processes to consciousness. Conceptualizing precision as a key mechanism holds utility as an intuitive interpretation that explains the necessity of living organisms to recurrently update their beliefs to remain adaptive to an ever-changing environment, and more fundamentally, to remain conscious of their self and surroundings. This suggests the self is a constructive process of ongoing updating and that a useful way to understand predictive processing—both conscious and unconscious—is in terms of “beliefs.” Beliefs can be determined by precision, which represents a form of confidence, that at one end is psychological in nature, and at the other occurs in automatic sub-personal neuronal processes. Furthering our understanding of the relationship between the conscious and unconscious, and its relationship to attention, suggests a key utility of psychedelics for research in the cognitive sciences to experimentally probe predictive process theories of consciousness and attention15 and test their theoretical robustness.
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Statements
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
DS: conceptualization and writing. GE and AR: writing—review and editing. All authors contributed to the article and approved the submitted version.
Funding
AR was funded by the Australian Research Council (Refs: DE170100128 and DP200100757) and Australian National Health and Medical Research Council Investigator Grant (Ref: 1194910). AR was a CIFAR Azrieli Global Scholar in the Brain, Mind and Consciousness Program. AR was affiliated with The Wellcome Centre for Human Neuroimaging supported by core funding from Wellcome (203147/Z/16/Z).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Glossary
Attention
Information that is relevant and selectively attended.
Brain-Derived Neurotrophic Factor (BDNF)
BDNF (abrineurin) is a protein found in the brain that signals cells to survive, differentiate and grow and is also related to improved nerve transmission.
Consciousness
Quality or state of subjective awareness.
Desegregation
Increased global functional integration between cortical regions and decreased modularity between the different brain networks.
Disintegration
Decreased functional connectivity between cortical regions composing large scale brain networks.
Ego Dissolution
Subject effect of classic psychedelics involving the shift in sense of self and dissolving of subject-object boundaries (blurring self-boundaries).
Generative Model
Generative models are models of how observations are generated by events outside of the brain that cannot be known directly. Mathematically, a model for randomly generating observations, typically given some (hidden) model parameters.
Model Evidence
Model evidence—mathematically known as the marginal likelihood—forms the sole basis of Bayesian model selection, i.e., the ranking of competing models in the light of the data, with the highest evidence identifying the best model.
Free Energy
Usually due to the high dimensionality of the problem, model evidence is intractable to calculate hence a lower bound is computed known as free energy. Simply, free energy is the lower bound on (log) model evidence used for model selection; higher free energy indicates better fit of data.
Free Energy Landscape
The free energy landscape refers to the graph of the (high dimensional) free energy functional across the configuration state space of the system.
Precision
The inverse of the variance (or uncertainty) associated with an observed signal.
Prediction Error
The bottom-up signal which is defined by the difference between the top-down predictions (generated by the internal generative model) and the incoming sensory signals.
Predictive Processing/Coding
A theory that brain function generates and updates a mental model of the environment to reduce prediction errors (or free energy).
Footnotes
1.^Validation of the ego dissolution inventory identifies the internal consistency of items measuring ego dissolution, their orthogonality to ego inflation, and correlation with unitive experience on the Mystical Experiences Questionnaire.
2.^Ego dissolution is thought to be synonymous with peak experiences and mystical experiences, which are also terms used to describe the main existential subjective effect of classic psychedelics and have been related to therapeutic outcomes.
3.^Prediction errors are the information in each layer that is not predicted by descending predictions.
4.^Updating predictions can occur through immediate inference or updating the generative model of the world.
5.^Predictions are referred to as synonymous with beliefs.
6.^Both endogenous and exogenous signals are referred to as sensory signals/sensory impressions/sensory information.
7.^A key factor of belief updating involves beliefs about hidden variables of the world (i.e., variables which cannot be directly observed and rely on inference).
8.^This idea draws reference to Hermann Von Helmholtz’s idea that perception is unconscious inference and the notion of uncertainty being computed in sub-personal processes beneath the level of subjective awareness (Yon and Frith, 2021).
9.^Precision is modulated by higher level cognition, such as cognitive biases, context and belief in the reliability of information. Exploration of these ideas is reviewed in Yon and Frith (2021).
10.^The free energy landscape refers to the graph of the (high dimensional) free energy functional across the configuration state space of the system. This free energy landscape is then traversed to find the free energy minima, mathematically operationalized by the Bayesian variational free energy minimization (or the maximization of the log model evidence) algorithms. Visualizing the free energy landscape helps to explain how the network of local minima and transition states determines properties, such as cognitive flexibility, which signify transitions between free energy minima. The REBUS model is a description of the neural state-space optimization which theorizes that psychedelics flatten the shape (i.e., curvature) of free energy landscape hence it is easier to transit between cognitive (and brain) states resulting in higher cognitive flexibility. The REBUS model associates to the updating of posterior beliefs, and by extension the range of hypotheses, or precision, underlying belief updating.
11.^Neuroplasticity in psychedelic research is hypothesized and supported by early research, that suggest neuroplasticity primarily mediation by the modulation of Brain-Derived Neurotrophic Factor (BDNF). Plasticity mechanisms on a molecular, neuronal, synaptic, and dendritic level are also under investigation.
12.^Narrative self, which is closely related to the Freudian concept of ego, is identified in relation to the default mode network (
13.^If we imagined the distribution of variance as a sort of compass, we might hypothesize some association between reduced precision selecting alternative hypotheses and the desegregation of large-scale connectivity pathways.
14.^Complexity is suggested as an important feature alongside precision. Interested readers are directed to
15.^These theories are not explored in this review. Interested readers are directed to
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Summary
Keywords
precision, hierarchical predictive coding, psychedelics, ego dissolution, belief updating
Citation
Stoliker D, Egan GF and Razi A (2022) Reduced Precision Underwrites Ego Dissolution and Therapeutic Outcomes Under Psychedelics. Front. Neurosci. 16:827400. doi: 10.3389/fnins.2022.827400
Received
02 December 2021
Accepted
02 February 2022
Published
17 March 2022
Volume
16 - 2022
Edited by
Andrea Nani, University of Turin, Italy
Reviewed by
Ioannis Pappas, University of Southern California, United States
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© 2022 Stoliker, Egan and Razi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Devon Stoliker, devon.stoliker@monash.edu
This article was submitted to Perception Science, a section of the journal Frontiers in Neuroscience
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