Predicting alcohol consumption from resting-state functional connectivity: Feature relevance and the potential of meta-matching.
Marco Bottino, Michael N. Smolka, Justin Böhmer, B.T. Thomas Yeo, Patrick Bach, Falk Kiefer, Bernd Lenz, Andreas Heinz, Gianna Spitta, Annika Rosenthal, Kerstin Ritter, Roshan Prakash Rane, Shreyash Garg, Emanuel Schwarz, Henrik Walter, Michael Marxen
This study uses machine learning to predict alcohol consumption from resting-state fMRI connectivity, finding weak but reproducible signals with limited predictive power.
bioRxiv · Oct 24, 2026 · PreprintNeuroscience