Cargando…
Bayesian computational markers of relapse in methamphetamine dependence
Methamphetamine use disorder is associated with a high likelihood of relapse. Identifying robust predictors of relapse that have explanatory power is critical to develop secondary prevention based on a mechanistic understanding of relapse. Computational approaches have the potential to identify such...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444286/ https://www.ncbi.nlm.nih.gov/pubmed/30928810 http://dx.doi.org/10.1016/j.nicl.2019.101794 |