Decreased brain modularity after psilocybin therapy for depression
In an open‑label TRD trial and a double‑blind RCT in MDD, psilocybin therapy produced rapid and durable reductions in depressive symptoms. These clinical improvements correlated with a post‑treatment decrease in resting‑state brain network modularity, implicating reduced modularity as a candidate antidepressant mechanism.
Authors
- Robin Carhart-Harris
- David Nutt
- Christopher Timmermann
Published
Abstract
Importance
Psilocybin therapy shows antidepressant potential; our data link its antidepressant effects to decreased brain network modularity post-treatment.
Objective
To assess the sub-acute impact of psilocybin on brain activity in patients with depression.
Design
Pre vs post-treatment resting-state functional MRI (fMRI) was recorded in two trials: 1) Open-label treatment-resistant depression (TRD) trial with baseline vs 1 day post-treatment fMRI (April-2015 to April-2016); 2) Two-arm double-blind RCT in major depressive disorder (MDD), fMRI baseline vs 3 week after psilocybin-therapy or 6 weeks of daily escitalopram (January-2019 to March-2020).
Setting
Study visits occurred at the NIHR Imperial Clinical Research Facility.
Participants
Adult male and female patients with TRD or MDD. Intervention(s) (for clinical trials) or Exposure(s) (for observational studies)Study 1: Two oral doses of psilocybin (10mg and 25mg, fixed order, 7 days apart). fMRI was recorded at baseline and one day after the 25mg dose. Study 2: either: 2 x 25mg oral psilocybin, 3 weeks apart, plus 6 weeks of daily placebo (‘psilocybin-arm’), or 2 x 1mg oral psilocybin, 3 weeks apart, plus 6 weeks of daily escitalopram [10-20mg] (‘escitalopram-arm’). fMRI was recorded at baseline and 3 weeks after the 2nd psilocybin dose, which was the final day of the 6-week daily capsule ingestion. Main Outcome(s) and Measure(s) Beck Depression Inventory and fMRI network modularity.
Results
Study 1: In 16 adults (mean age [SD], 42.8 [10.1] years, 4 [25%] female), psilocybin therapy was associated with markedly decreased BDI scores at 1 week (mean difference, -21; 95% CI=[-27.3, -14.7], P<.001) and 6 months (mean difference, -14.19; 95% CI=[-21.3, -7.1], P<.001). Decreased network modularity at one day post-treatment correlated with treatment response at 6 months (Pearson, 0.64; P=.01). Study 2: In 43 adults (42.7 [10.5] years, 14 [33%] female), antidepressant effects favoured the psilocybin-arm at 2 (mean difference, -8.76; 95% CI=[-13.6, -3.9], P=.002) and 6 weeks (mean difference, -8.78; 95% CI=[-15.6, -2.0], P=.01). Specific to the psilocybin-arm, improvements at the 6-week primary endpoint correlated with decreased network modularity (Pearson, -0.42, P=.025).
Conclusions and Relevance
Consistent efficacy-related functional brain changes correlating with robust and reliable antidepressant effects across two studies suggest a candidate antidepressant mechanism for psilocybin therapy: decreased brain network modularity.
Research Summary of 'Decreased brain modularity after psilocybin therapy for depression'
Introduction
Depression remains highly prevalent and current antidepressant drugs have modest efficacy, problematic side effects, discontinuation issues and high relapse rates, motivating the search for new treatments. The authors describe depressive episodes using dynamical-systems language — as constrained, ‘‘attractor’’ states — and note that neuroimaging has repeatedly implicated abnormal functioning of higher-order networks such as the default mode network (DMN), executive network (EN) and salience network (SN). They further note that the 5-HT2A receptor, the principal binding site of classic serotonergic psychedelics such as psilocybin, is densely expressed across cortex overlapping these higher-order networks. Daws and colleagues set out to test whether psilocybin therapy produces sub-acute changes in spontaneous brain activity, operationalised as reduced brain network modularity in resting-state fMRI, and whether such changes relate to antidepressant outcomes. They focused on two clinical trials that included pre- and post-treatment fMRI: an open-label trial in treatment-resistant depression and a double-blind randomised controlled trial (DB-RCT) that compared psilocybin therapy with daily escitalopram. The investigators hypothesised that psilocybin would produce post-treatment network ‘‘desegregation’’ (lower modularity), that this effect would relate to clinical improvement, and that comparable changes would not be observed after escitalopram.
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Daws, R., Timmerman, C., Giribaldi, B., Sexton, J., Wall, M., Erritzoe, D., Roseman, L., Nutt, D., & Carhart-Harris, R. (2021). Decreased brain modularity after psilocybin therapy for depression. https://doi.org/10.21203/rs.3.rs-513323/v1
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Papers cited by this study that are also in Blossom
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Andersen, K. A. A., Carhart-Harris, R. L., Nutt, D. J. et al. · Acta Psychiatrica Scandinavica (2020)
Carhart-Harris, R. L., Roseman, L., Bolstridge, M. et al. · Scientific Reports (2017)
Carhart-Harris, R. L., Giribaldi, B., Watts, R. et al. · New England Journal of Medicine (2021)
Nutt, D. J., Erritzoe, D., Carhart-Harris, R. L. · Cell (2020)
Lord, L. D., Expert, P., Atasoy, S. et al. · NeuroImage (2019)
Luppi, A. I., Carhart-Harris, R. L., Roseman, L. et al. · NeuroImage (2021)
Carhart-Harris, R. L., Erritzoe, D., Williams, T. et al. · PNAS (2012)
Winkelman, M. J. · Current Drug Abuse Reviews (2014)
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Roseman, L., Leech, R., Feilding, A. et al. · Frontiers in Human Neuroscience (2014)
Barrett, F. S., Doss, M. K., Sepeda, N. D. et al. · Scientific Reports (2020)
Pasquini, L., Palhano-Fontes, F., Araújo, D. B. · Journal of Psychopharmacology (2020)
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Cited By (3)
Papers in Blossom that reference this study
Ertl, N., Ashraf, I., Azizi, L. et al. · Biorxiv (2025)
Gattuso, J. J., Perkins, D., Ruffell, S. G. D. et al. · International Journal of Neuropsychopharmacology (2022)
Vejmola, Č., Tylš, F., Piorecká, V. et al. · Translational Psychiatry (2021)
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