Corticostriatal oscillations predict high vs. low drinkers in a preclinical model of limited access alcohol consumption
Angela M. Henricks, Lucas L. Dwiel, Nicholas H. Deveau, Amanda A. Simon, Metztli J. Ruiz-Jaquez, Alan I. Green, Wilder T. Doucette
The paper uses machine learning to predict high vs. low alcohol-drinking rats based on corticostriatal oscillations and shows stimulation effects differ between groups.
bioRxiv · Dec 19, 2018 · PreprintNeuroscience