Rondeau, J. | bioRxiv Science

bioRxiv2024

Classification of psychedelic drugs based on brain-wide imaging of cellular c-Fos expression

Psilocybin, ketamine, and MDMA are psychoactive compounds that exert behavioral effects with distinguishable but also overlapping features. The growing interest in using these compounds as therapeutics necessitates preclinical assays that can accurately screen psychedelics and related analogs. We posit that a promising approach may be to measure drug action on markers of neural plasticity in native brain tissues. We therefore developed a pipeline for drug classification using light sheet fluorescence microscopy of immediate early gene expression at cellular resolution followed by machine learning. We tested male and female mice with a panel of drugs, including psilocybin, ketamine, 5-MeO-DMT, 6-fluoro-DET, MDMA, acute fluoxetine, chronic fluoxetine, and vehicle. In one-versus-rest classification, the exact drug was identified with 67% accuracy, significantly above the chance level of 12.5%. In one-versus-one classifications, psilocybin was discriminated from 5-MeO-DMT, ketamine, MDMA, or acute fluoxetine with >95% accuracy. We used Shapley additive explanation to pinpoint the brain regions driving the machine learning predictions. Our results support a novel approach for characterizing and validating psychoactive drugs with psychedelic properties.

neuroscience↗

bioRxiv2023

Frontal cortex norepinephrine, serotonin, and dopamine dynamics in an innate fear-reward behavioral model

Animals must survive by foraging for food in an uncertain and dangerous world. Neural circuits for naturalistic decision-making under these conditions must balance competing motivational demands for approaching reward and avoiding danger. To enable flexible switching between motivational states, neuromodulators are released and alter neural excitability and plasticity. The question of how neuromodulators encode motivational state is thus fundamental to systems neuroscience, yet the dynamics of neuromodulators during naturalistic decision making are not fully understood. Here, we developed a naturalistic approach/avoidance task in mice involving a tradeoff between seeking reward versus safety in the presence of looming predation risk. We utilized fiber photometry, computational behavior tracking, and local pharmacology in this task. Silencing medial prefrontal cortex (mPFC) reduced looming defensive behaviors. Moreover, by using fiber photometry combined with GPCR-based sensors, we found that cortical norepinephrine (NE) plays a more prominent role in encoding looming threats while dopamine (DA) represents reward and threat. In contrast, serotonin (5HT) dynamic negatively correlates to both emotional valences. To begin to understand neuromodulatory interactions, we used ex vivo slice physiology to understand 5HT impact on spontaneous firing of locus coeruleus NE neurons. In conclusion, monoamines such as NE, DA, 5HT can converge in their encoding of naturalistic motivated behaviors as well as dissociate from one another. By utilizing this novel innate reward-threat task, we can better understand neurochemical signaling events during natural behavior, and may contribute to the understanding of neural mechanisms underlying emotional decision-making and its implications for psychiatric disorders.

neuroscience↗