More Realistic Forecasting of Future Life Events After Psilocybin for Treatment-Resistant Depression
Taylor Lyons, Robin Carhart-Harris
Frontiers in Psychology October 12, 2018 DOI: 10.3389/fpsyg.2018.01721 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Sample size | 15 |
| Population | Patients with treatment-resistant depression (TRD) |
| Intervention | Psilocybin |
| Dose | 10 and 25 mg |
| Duration | One week between dosing sessions, outcomes measured one week after second session |
| Topics | Depression Psilocybin |
| Keywords | Pessimism Optimism bias Depression economics Depressive symptoms Clinical psychology Psychotherapist Cognition Hallucinogen |
| Citations | 78 |
| Key findings | Psilocybin with psychological support decreased pessimism bias and improved accuracy in predicting future life events in patients with treatment-resistant depression. |
Abstract
Background: Evidence suggests that classical psychedelics can promote enduring changes in personality, attitudes and optimism, as well as improvements in mental health outcomes.
Aim: To investigate the effects of a composite intervention, involving psilocybin, on pessimism biases in patients with treatment-resistant depression (TRD).
Methods: Patients with TRD (n = 15) and matched, untreated non-depressed controls (n = 15) performed the Prediction Of Future Life Events (POFLE) task. The POFLE task requires participants to predict the likelihood of certain life events occurring within a 30-day period, after which the actual rate of event occurrence is reported; this gives an index of potential pessimism versus optimism bias. Psilocybin was administered in two oral dosing sessions (10 and 25 mg) one week apart. Main outcome measures were collected at baseline and one week after the second dosing session.
Results: Patients showed a significant pessimism bias at baseline [t(14) = -3.260, p = 0.006; 95% CI (-0.16, -0.03), g = 1.1] which was related to the severity of their depressive symptoms (rs = -0.55, p = 0.017). One week after psilocybin treatment, this bias was significantly decreased [t(14) = -2.714, p = 0.017; 95% CI (-0.21, -0.02), g = 0.7] and depressive symptoms were greatly improved [t(14) = 7.900, p g = 1.9]; moreover, the magnitude of change in both variables was significantly correlated (r = -0.57, p = 0.014). Importantly, post treatment, patients became significantly more accurate at predicting the occurrence of future life events [t(14) = 1.857, p = 0.042; 95% CI (-0.01, 0.12), g = 0.6] whereas no such change was observed in the control subjects.
Conclusion: These findings suggest that psilocybin with psychological support might correct pessimism biases in TRD, enabling a more positive and accurate outlook.
Comparable studies
Other observational and cohort studies on psilocybin for depression, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| Psilocybin for treatment-resistant depression: fMRI-measured brain mechanisms. Patients with treatment-resistant depression | 2017 | Observational cohort | n = 19 |
| Psilocybin with psychological support improves emotional face recognition in treatment-resistant depression Patients with treatment-resistant depression and healthy controls | 2017 | Observational cohort | n = 33 |
| Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression. 17 patients with treatment-resistant depression and 18 untreated age-matched healthy... | 2018 | Observational cohort with machine learning classification | n = 35 |
| Brain dynamics predictive of response to psilocybin for treatment-resistant depression. Responders and non-responders to psilocybin therapy for depression | 2024 | Observational cohort | |
| Predicting the outcome of psilocybin treatment for depression from baseline fMRI functional connectivity. Patients with treatment-resistant depression or moderate-to-severe major depression | 2024 | Observational cohort | n = 38 |