Trending Now - Psychedelics Show Similar Brain Activity Patterns, Study Reveals

WHO:

Earth.com - Danilo Bzdok, a researcher at McGill University, is involved in the study.

ScienceAlert - An international team of researchers conducted the study.

WHAT:

Earth.com - The study found that five psychedelics—psilocybin, LSD, mescaline, DMT, and ayahuasca—create similar brain activity patterns.

Earth.com - The research analyzed over 500 brain scans from 267 participants.

ScienceAlert - The study identified two shared patterns: stronger communication between distinct brain networks and selective reductions in connections within some networks.

ScienceAlert - The study was published in the journal Nature Medicine.

WHERE:

Earth.com - The study included data from five countries.

WHEN:

Earth.com - The study was published in 2026.

ScienceAlert - The analysis covered 11 separate datasets.

WHY:

Earth.com - The findings aim to provide clarity in the fragmented field of psychedelic research and support mental health treatment.

ScienceAlert - The research seeks to understand how psychedelics might be used to treat depression and other disorders.

HOW:

Earth.com - The researchers combined 11 datasets to analyze brain scans, allowing for a comparison of multiple drugs.

Earth.com - The study utilized a Bayesian model to identify consistent brain patterns across the datasets.

ScienceAlert - The study pooled fMRI brain scans of participants who had taken the psychedelics.

(UPDATED April 11, 2026 11:11 UTC)

An international team of researchers, including Danilo Bzdok from McGill University, has published a study in the journal Nature Medicine that reveals five psychedelics—psilocybin, LSD, mescaline, DMT, and ayahuasca—produce similar patterns of brain activity. The research analyzed over 500 brain scans from 267 participants across five countries, identifying two key patterns: enhanced communication between distinct brain networks and selective reductions in connections within some networks. This comprehensive study, which combined 11 datasets, aims to shed light on the fragmented field of psychedelic research and explore their potential in treating depression and other mental health disorders.