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Skepticism about Recent Evidence That Psilocybin “Liberates” Depressed Minds

Manoj K. Doss, Frederick S. Barrett, Philip R. Corlett

ACS Chemical Neuroscience August 24, 2022 DOI: 10.1021/acschemneuro.2c00461 via OpenAlex

Summary

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A critique of a Nature Medicine paper claiming psilocybin therapy reduces brain network modularity in depressed patients, an effect not seen with the SSRI S-citalopram. The authors identify multiple problems: inconsistent reporting of the primary clinical outcome, statistical flaws including a one-tailed test and a nonsignificant interaction, regression to the mean, ambiguous interpretation of resting-state fMRI data, and a missing reference to a similar study that undermines the justification for a one-tailed test. These issues cast doubt on the uniqueness and impact of the original findings and the media hype they generated.

Study at a glance

Characteristics Commentary or critique Peer reviewed
Topics Psilocybin
Keywords Ambiguity Sertindole Modularity biology Psychiatry
Citations 21
Key finding The original paper's claims about psilocybin decreasing brain network modularity are undermined by statistical flaws, inconsistent outcome reporting, and overinterpretation of resting-state data.

Abstract

A recent paper in Nature Medicine found that psilocybin therapy in patients with depression decreased brain network modularity (measured with task-free functional magnetic resonance imaging), an effect supposedly not found with the selective serotonin reuptake inhibitor S-citalopram. This decrease in network modularity also correlated with depression. Here, we raise several issues with this paper, including inconsistencies in reports of the primary clinical outcome, statistical flaws including a one-tailed test, nonsignificant interaction, and regression to the mean, the ambiguity and overinterpretation of "resting state" data, and a missing reference for a conceptually similar study that exemplifies why a one-tailed test cannot be justified. Together, these issues make us question the uniqueness and impact of these findings, as well as the unwarranted media hype that they generated.

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