Drug Self-Administration, Drug-Specific Behaviors, and Neurobehavioral Deep Learning Analyses

Pharmacokinetic-pharmacodynamics (PKPD) models have been applied to determine real-time drug concentration while in vivo imaging techniques capture real-time behavioral and neural dynamics in preclinical models. Integration of PKPD models with real-time neural activity and deep learning behavior analyses remains underexplored. This short communication explores how opioid and psychostimulant use correlates with sample drug-associated behaviors. We propose a framework for studies synchronizing PKPD modeling with long-term neuronal recordings and deep learning neurobehavioral analyses. We highlight the potential of integrative approaches to understand dynamics of SUDs in preclinical models. Such frameworks could ultimately inform maladaptive drug-related neurobehavioral adaptations.