Effective connectivity of functionally anticorrelated networks under LSD
This double-blind placebo-controlled study (n=25) assessed whether a change in anticorrelated networks (default mode network (DMN)/salience network (SN)) underlies the peak effects of LSD (100μg) using fMRI. Inhibitory effective connectivity from the SN to DMN became excitatory, and inhibitory effective connectivity from DMN to DAN decreased under the peak effect of LSD suggesting that diminution of the functional anticorrelation between resting state networks that may be a key neural mechanism of LSD and underlie ego dissolution.
Authors
- Franz Vollenweider
- Katrin Preller
- Adeel Razi
Published
Abstract
Background
Classic psychedelic-induced ego dissolution involves a shift in the sense of self and blurring of boundary between the self and the world. A similar phenomenon is identified in psychopathology and is associated to the balance of anticorrelated activity between the default mode network (DMN) - which directs attention inwards - and the salience network (SN) - which recruits the dorsal attention network (DAN) to direct attention outward.
Methods
To test whether change in anticorrelated networks underlie the peak effects of LSD, we applied dynamic causal modeling to infer effective connectivity of resting state functional MRI scans from a study of 25 healthy adults who were administered 100μg of LSD, or placebo.
Results
We found that inhibitory effective connectivity from the SN to DMN became excitatory, and inhibitory effective connectivity from DMN to DAN decreased under the peak effect of LSD.
Conclusions
The effective connectivity changes we identify may reflect diminution of the functional anticorrelation between resting state networks that may be a key neural mechanism of LSD and underlie ego dissolution. Our findings suggest changes to sense of self and subject-object boundaries across different states of consciousness may depend upon the organised balance of effective connectivity of resting state networks.
Research Summary of 'Effective connectivity of functionally anticorrelated networks under LSD'
Introduction
Psilocybin is a serotonergic psychedelic whose agonism at 5-HT2A receptors produces profound alterations of perception, emotion and self-experience, including graded experiences of ego dissolution. Previous work has implicated the amygdala and large-scale resting-state networks (RSNs) — notably the default mode network (DMN), central executive network (CEN) and salience network (SN) — in emotional appraisal, self-related cognition and psychopathology. However, the directional (effective) connectivity that links cortical RSNs with the amygdala during the acute psychedelic state, and how such directed interactions relate to subjective reports, remain poorly characterised. Stoliker and colleagues set out to test whether psilocybin alters top-down effective connectivity from RSNs to the amygdala and whether these directed changes associate with aspects of the acute subjective experience. Using spectral dynamic causal modelling (spDCM) to infer directional influences among predefined cortical ROIs and the amygdala, the study specifically examined changes in DMN–amygdala, CEN–amygdala and SN–amygdala interactions and related those changes to two dimensions of the 5D-ASC (changed meaning of percepts and blissful state). The primary hypothesis was reduced top-down effective connectivity from RSNs to the amygdala under psilocybin, with such changes linked to altered meaning and positive affective experiences.
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Study Details
- Study Typeindividual
- Journal
- Compound
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- APA Citation
Stoliker, D., Novelli, L., Vollenweider, F. X., Egan, G. F., Preller, K. H., & Razi, A. (2023). Effective connectivity of functionally anticorrelated networks under LSD. Biological Psychiatry, 93(3), 224-232. https://doi.org/10.1016/j.biopsych.2022.07.013
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Cited By (3)
Papers in Blossom that reference this study
Stoliker, D., Novelli, L., Khajehnejad, M. et al. · Biorxiv (2025)
Stoliker, D., Novelli, L., Vollenweider, F. X. et al. · Biological Psychiatry (2024)
Stoliker, D., Preller, K. H., Novelli, L. et al. · Molecular Psychiatry (2024)
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