Poster No:
795
Submission Type:
Abstract Submission
Authors:
Pablo Mallaroni1, Samuel Ereira2, Katrin Preller3, Natasha Mason1, Johannes Ramaekers1
Institutions:
1Maastricht University, Maastricht, Limburg, 2Queen Mary University of London, London, 3University of Zurich, Zurich, Switzerland
First Author:
Co-Author(s):
Introduction:
Meaningful social interactions hinge on our ability to flexibly intuit others' beliefs, a capacity rooted in the brain's ability to encode and simulate others' neural belief patterns. Self-other distinction is thus central to social cognition, and its impairment is a transdiagnostic marker of neuropsychiatric disorders. Psychedelics are suggested to ameliorate socio-cognitive functioning by impairing self-referential awareness and heightening social connectedness (Preller and Vollenweider 2019). While this self-other mergence may stem from a 5-HT2A-mediated perturbation of 'social' brain regions such as the medial prefrontal cortex (mPFC), it is unknown how this is enacted at a neurocomputational level (Stoliker, Egan et al. 2022). We hypothesise serotonergic psychedelics elicit persisting changes to self-other mergeance by impeding belief attribution in a manner that is predictable by acute changes in functional connectivity.
Methods:
Here, we fitted agent-specific reinforcement learning models to data from 21 healthy participants collected in a probabilistic false-belief task (p-FBT) + 24 hours following the administration of 15mg of psilocybin and 20 mg 2C-B in a within-subjects, placebo-controlled trial. The p-FBT requires participants to assess the probability of an event while also estimating a third-party's perspective on the same event (Ereira, Hauser et al. 2020). Importantly, participants are aware that the third-party might have access to information that differs from their own. By fitting Rescorla–Wagner learning models to subject reports, we defined leakage' parameters between belief updates for Self and Other, hypothesising greater leakage to cause beliefs for Self and Other to covary. To understand how acute perturbations in mPFC connectivity may drive aberrant belief updating, we leveraged corresponding 7T resting-state fMRI data collected 90 min after administration. Regions of interest (ROIs) were extracted from a extended theory of mind (ToM) network comprising the mPFC defined by a reverse inference Neurosynth approach (Yarkoni, Poldrack et al. 2011) and were denoised by regressing six head-motion, cerebrospinal fluid, and white matter parameters. Low-frequency signal drifts were filtered using a 128-s high-pass filter. To assess how causal changes may influence our leakage parameter we employed spectral dynamic causal modelling (sDCM), which fits the complex cross-spectral density using a (parameterized) power-law model of endogenous neuronal fluctuations (Daunizeau, David and Stephan 2011). This consequently provides the effective connectivity (EC) between regions, as well as the amplitude of endogenous neuronal fluctuations within each region. Second-level analyses on the extracted ROI EC values were performed using the Parametric Empirical Bayes Method (Morris 1983).
Results:
We find that an egocentric model parameter, quantifying the extent to which observations available to the Self erroneously update estimates of the Other's belief, is significantly reduced following the administration of a psychedelic (F(63)=7.44, p=0.008) First-level fMRI analyses derived four empirical ToM ROIs correspondent to the mPFC, Precuneous, L/R Temporal Parietal Junction (TPJ), which exceeded a DCM explained variance of 50%. ROIs exhibited widespread changes in connectivity in a manner that was interrelated with social cognition outcomes.
Conclusions:
Overall, our findings suggest psychedelics foster a less self-centred perspective of others' beliefs, further implicating the 5-HT2A receptor in social learning and offering potential mechanisms for symptomatic relief.
Emotion, Motivation and Social Neuroscience:
Social Cognition 1
Higher Cognitive Functions:
Decision Making
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling
Physiology, Metabolism and Neurotransmission :
Pharmacology and Neurotransmission 2
Keywords:
Pharmacotherapy
Social Interactions
Other - psychedelics, reinforcement learning, serotonin, dynamic causal modelling
1|2Indicates the priority used for review
Provide references using author date format
Daunizeau, J., O. David and K. E. Stephan (2011). "Dynamic causal modelling: a critical review of the biophysical and statistical foundations." Neuroimage 58(2): 312-322.
Ereira, S., T. U. Hauser, R. Moran, G. W. Story, R. J. Dolan and Z. Kurth-Nelson (2020). "Social training reconfigures prediction errors to shape Self-Other boundaries." Nature Communications 11(1): 3030.
Morris, C. N. (1983). "Parametric Empirical Bayes Inference: Theory and Applications." Journal of the American Statistical Association 78(381): 47-55.
Preller, K. H. and F. X. Vollenweider (2019). "Modulation of Social Cognition via Hallucinogens and "Entactogens"." Front Psychiatry 10: 881.
Stoliker, D., G. F. Egan, K. J. Friston and A. Razi (2022). "Neural Mechanisms and Psychology of Psychedelic Ego Dissolution." Pharmacological Reviews 74(4): 876-917.
Yarkoni, T., R. A. Poldrack, T. E. Nichols, D. C. Van Essen and T. D. Wager (2011). "Large-scale automated synthesis of human functional neuroimaging data." Nat Methods 8(8): 665-670.