biostudies-literatureUnknown25(1)Zhang HB<h4>Background</h4>Methamphetamine use disorder (MUD) is characterized by prominent psychological craving and its relapsing nature. Previous studies have linked trait impulsivity and abstinence duration to drug use, but the neural substrates of drug cue-induced craving and its relationship with these traits remain unclear in MUD.<h4>Methods</h4>We acquired high-density resting-state electroencephalography (EEG) after participants watched a five-minute video demonstrating methamphetamine use. Combining precise source imaging to reconstruct brain activities with connectome predictive modeling (CPM), we built a craving-specific network within beta band activity from two independent MUD cohorts (N=144 for model development and N=47 for validation).<h4>Results</h4>This network reveals a unifiedInternational journal of clinical and health psychology : IJCHP100551https://www.ebi.ac.uk/biostudies/studies/S-EPMC11850752biostudies-literatureAn electroencephalography connectome predictive model of craving for methamphetamine.PMC11850752Yan LYu QDing JLiu YYuan TFHuang TCao XZhang YZhang XLuo WZhang HBZhao DYin LfalseAn electroencephalography connectome predictive model of craving for methamphetamine.<h4>Background</h4>Methamphetamine use disorder (MUD) is characterized by prominent psychological craving and its relapsing nature. Previous studies have linked trait impulsivity and abstinence duration to drug use, but the neural substrates of drug cue-induced craving and its relationship with these traits remain unclear in MUD.<h4>Methods</h4>We acquired high-density resting-state electroencephalography (EEG) after participants watched a five-minute video demonstrating methamphetamine use. Combining precise source imaging to reconstruct brain activities with connectome predictive modeling (CPM), we built a craving-specific network within beta band activity from two independent MUD cohorts (N=144 for model development and N=47 for validation).<h4>Results</h4>This network reveals a unified2025-01-01T00:00:00Z2025 Jan-Mar2025-04-04T09:09:43.002Z2025-04-04T09:09:43.002ZS-EPMC118507524000794810.1016/j.ijchp.2025.100551