Psilocybin enhances insightfulness in meditation: a perspective on the global topology of brain imaging during meditation


Loading...

Date

2024

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

In this study, for the first time, we explored a dataset of functional magnetic resonance images collected during focused attention and open monitoring meditation before and after a five-day psilocybin-assisted meditation retreat using a recently established approach, based on the Mapper algorithm from topological data analysis. After generating subject-specific maps for two groups (psilocybin vs. placebo, 18 subjects/group) of experienced meditators, organizational principles were uncovered using graph topological tools, including the optimal transport (OT) distance, a geometrically rich measure of similarity between brain activity patterns. This revealed characteristics of the topology (i.e. shape) in space (i.e. abstract space of voxels) and time dimension of whole-brain activity patterns during different styles of meditation and psilocybin-induced alterations. Most interestingly, we found that (psilocybin-induced) positive derealization, which fosters insightfulness specifically when accompanied by enhanced open-monitoring meditation, was linked to the OT distance between open-monitoring and resting state. Our findings suggest that enhanced meta-awareness through meditation practice in experienced meditators combined with potential psilocybin-induced positive alterations in perception mediate insightfulness. Together, these findings provide a novel perspective on meditation and psychedelics that may reveal potential novel brain markers for positive synergistic effects between mindfulness practices and psilocybin.

Publication status

published

Editor

Book title

Volume

14 (1)

Pages / Article No.

7211

Publisher

Nature

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Computational neuroscience; Mathematics and computing; Psychology

Organisational unit

Notes

The original version of this Article contained an error in the name of author Berit Singer which was incorrectly given as Singer Berit.

Funding

Related publications and datasets

Is referenced by: 10.1038/s41598-024-59897-5