Computational Phenotypes of Decision Making in Heroin Addiction

Decision-making is strongly affected by drugs of abuse. The ability to exert self-control and resist to temptation and craving is severely impaired in addiction and this can give rise to impulsivity and risk-seeking behavior. These changes however may be malleable, and existing pharmacological and psychosocial treatments seem to restore these decision processes to a healthier state. The goal of this project is to study how craving and treatment for addiction may impact the neural computations underlying these types of decision-making in a dynamic way. Using fMRI, computational modeling, and choice experiments in patients with opioid use disorder, our aim is to design a set of robust screening tools that can be used in the clinic at the individual level.

Collaborators: Anna B Konova, Silvia Lopez-Guzman, John Rotrosen, Stephen Ross and Paul W Glimcher.

Questions? You may contact Silvia – or Anna –