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Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning Analysis.

Autor: Uceta M; Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain.; Department of Cellular Biology, Faculty of Biology, Complutense University of Madrid (UCM), Madrid, Spain., Cerro-León AD; Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain.; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain., Shpakivska-Bilán D; Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain.; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain., García-Moreno LM; Department of Psychobiology and Methodology in Behavioral Science, Faculty of Education, Complutense University of Madrid (UCM), Madrid, Spain., Maestú F; Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain.; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain.; Health Research Institute of the Clinical Hospital San Carlos (IdISSC), Madrid, Spain., Antón-Toro LF; Center for Cognitive and Computational Neuroscience (C3N), Complutense University of Madrid (UCM), Madrid, Spain.; Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Faculty of Psychology, Complutense University of Madrid (UCM), Madrid, Spain.

Publikováno v: Brain and behavior [Brain Behav] 2024 Nov; Vol. 14 (11), pp. e70157.