| Literature DB >> 29054289 |
Philipp Mews1, Erin S Calipari2.
Abstract
Drug addiction is a behavioral disorder characterized by dysregulated learning about drugs and associated cues that result in compulsive drug seeking and relapse. Learning about drug rewards and predictive cues is a complex process controlled by a computational network of neural connections interacting with transcriptional and molecular mechanisms within each cell to precisely guide behavior. The interplay between rapid, temporally specific neuronal activation, and longer-term changes in transcription is of critical importance in the expression of appropriate, or in the case of drug addiction, inappropriate behaviors. Thus, these factors and their interactions must be considered together, especially in the context of treatment. Understanding the complex interplay between epigenetic gene regulation and circuit connectivity will allow us to formulate novel therapies to normalize maladaptive reward behaviors, with a goal of modulating addictive behaviors, while leaving natural reward-associated behavior unaffected.Entities:
Keywords: Addiction; Circuits; Dopamine; Epigenetics; Reinforcement
Mesh:
Year: 2017 PMID: 29054289 PMCID: PMC6339819 DOI: 10.1016/bs.pbr.2017.08.012
Source DB: PubMed Journal: Prog Brain Res ISSN: 0079-6123 Impact factor: 2.453