Nature Communications
February 12, 2025
Farid Aboharb, Pasha A. Davoudian, Ling-Xiao Shao et al.
19 citations
A machine-learning pipeline using light sheet fluorescence microscopy to measure immediate early gene expression in mouse brain tissues classified psychoactive drugs with 67% accuracy across eight conditions, significantly above the 12.5% chance level. Psilocybin was discriminated from 5-MeO-DMT, ketamine, MDMA, or acute fluoxetine with over 95% accuracy. Shapley additive explanation identified brain regions driving predictions, suggesting a novel approach for characterizing and validating psychoactive drugs with psychedelic properties.
bioRxiv : the preprint server for biology
November 23, 2024
Farid Aboharb, Pasha A Davoudian, Ling-Xiao Shao et al.
3 citations
preprint
A pipeline using light sheet fluorescence microscopy to measure immediate early gene expression in mouse brain tissues, combined with machine learning, can classify psychoactive drugs including psilocybin, ketamine, and MDMA. In one-versus-rest tests, the exact drug was identified with 67% accuracy, far above the 12.5% chance level. Psilocybin was discriminated from 5-MeO-DMT, ketamine, MDMA, or acute fluoxetine with over 95% accuracy in pairwise comparisons. Shapley additive explanation identified brain regions driving the predictions. The approach offers a novel way to characterize and validate psychedelic and related compounds.
bioRxiv (Cold Spring Harbor Laboratory)
March 10, 2026
Gabriele Floris, Sarah J. Jefferson, Jocelyne Rondeau et al.
Combining psilocybin with a phosphodiesterase-9 inhibitor (PDE9i) reduces psychedelic-like effects in mice—measured by head twitch response—while preserving antidepressant effects against chronic stress. Proteomic analysis of the medial prefrontal cortex revealed enhanced synaptogenesis and reduced GPCR signaling pathways with the combination versus psilocybin alone. This suggests a potential strategy for developing serotonergic antidepressants that maintain efficacy without the intense psychedelic experience, which currently limits scalability of psilocybin therapy.
bioRxiv (Cold Spring Harbor Laboratory)
March 8, 2026
Nitzan Geva, Sarah J. Jefferson, Emi Krishnamurthy et al.
MDMA increases spine density and the formation of new spines in the medial prefrontal cortex of mice, as shown by two-photon microscopy. Calcium imaging in the infralimbic cortex during fear extinction revealed that neural activity in this region became more correlated with the suppression of freezing behavior, indicating a strengthened role in extinction. Longitudinal cell registration showed accelerated representational drift across days in MDMA-treated mice, especially in neurons that suppressed activity to conditioned cues. These findings indicate that MDMA facilitates structural and functional neuroplasticity, which may underlie its enhancement of extinction learning.