The Effects of Serotonergic systems on Cognitive Flexibility and Perseverative Thinking: a comparison between SSRI, classical psychedelics, and acute tryptophan depletion in a Multilevel Meta-Analysis
Basch, R.; Cohen, M.; Peled-Avron, L.
Show abstract
Background: Serotonin has been implicated in cognitive flexibility and pathological perseverative thinking (PT), including rumination, worry, and obsessions. However, evidence remains fragmented across pharmacological manipulations, clinical populations, and outcome measures. This multilevel meta-analysis examined whether serotonergic interventions influence PT and cognitive flexibility. Methods: Preregistered and following PRISMA guidelines, we synthesized studies investigating three classes of serotonergic manipulations: acute tryptophan depletion (ATD), serotonin elevation via selective serotonin reuptake inhibitors (SSRIs), and classic serotonergic psychedelics. Three multilevel random-effects meta-analyses with cluster-robust variance estimation were conducted: (A) effects of ATD on cognitive flexibility (N = 266; 10 effect sizes), (B) effects of serotonin elevation on cognitive flexibility (N = 654; 15 effect sizes), and (C) effects of serotonin elevation on pathological perseverative thinking (N = 1,100; 20 effect sizes). Across analyses, the total sample comprised 2,030 participants and 45 effect sizes. Results: ATD did not significantly impair cognitive flexibility (g = 0.15, 95% CI [-0.07, 0.38], p = .23), and no moderation by task type, sex, or age was observed. Serotonin elevation similarly did not improve cognitive flexibility (g = -0.07, 95% CI [-0.36, 0.22], p = .63), with no significant performance differences emerging between SSRIs, classical psychedelics, or tryptophan enrichment. In contrast, serotonin elevation was associated with a significant medium-to-large reduction in perseverative thinking (g = -0.58, 95% CI [-0.76, -0.41], p < .001). Notably, while both pharmacological classes effectively reduced cognitive rigidity, SSRIs demonstrated a marginally smaller magnitude of symptom reduction compared to acute psilocybin interventions (p = .081). Furthermore, samples with a higher proportion of female participants showed larger reductions in perseverative thinking ({beta} = -1.86, p = .014), while worries exhibited marginally smaller reductions relative to obsessions ({beta} = 0.42, p = .055). Publication bias tests were non-significant across analyses. Conclusions: Serotonergic interventions robustly reduce perseverative thinking but do not consistently alter performance on laboratory measures of cognitive flexibility. These findings suggest that serotonin may influence cognitive-emotional rigidity and the subjective experience of repetitive thought more strongly than objective executive task performance. The dissociation between task-based and phenomenological outcomes aligns with contemporary models of serotonergic plasticity and highlights perseverative thinking as a potentially transdiagnostic therapeutic target of serotonergic interventions.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Computational Mechanisms Underlying Multi-Step Planning Deficits in Methamphetamine Use Disorder 93%
- Vitamin D: marker, cause or consequence of depression? An exploration using genomics 92%
- The disappointment centre of the brain gets exciting: A systematic review of habenula dysfunction in depression 92%
Similar papers in this journal
- The acute effects of cannabidiol on emotional processing and anxiety: a neurocognitive imaging study 94%
- Sex Differences in the Acute Effects of Oral THC: A Randomized, Placebo-Controlled, Crossover Human Laboratory Study 93%
- Conscious perception and the modulatory role of dopamine: no effect of the dopamine D2 agonist cabergoline on visual masking, the attentional blink, and probabilistic discrimination 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.