Reinforcement-based cognitive biases as vulnerability factors in alcohol
addiction: From humans to animal models
Abstract
Alcohol use disorder (AUD) is one of the most common but still poorly
treated psychiatric conditions. Developing new treatments requires a
better understanding of the aetiology of symptoms and evaluation of
novel therapeutic targets in preclinical studies. Recent developments in
our understanding of the reinforcement-based cognitive biases (RBCBs)
that contribute to the development of AUD and its treatment offer new
opportunities for both clinical and preclinical research. In this
review, we first briefly describe psychological and cognitive theories
that implicate various aspects of reinforcement sensitivity in the
development, maintenance, and recurrence of alcohol addiction.
Furthermore, in separate sections, we describe studies investigating
RBCBs and their neural, neurochemical, and pharmacological correlates,
and we discuss possible interactions between RBCBs and trajectories of
AUD. Finally, we describe how recent translational studies using
state-of-the-art animal models can facilitate our understanding of the
role of reinforcement sensitivity and RBCBs in various aspects of AUD.