Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders
Zhu T, Wang W, Chen Y, Kranzler H, Li C, Bi J. Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2023, 9: 326-336. PMID: 37696489, PMCID: PMC10976073, DOI: 10.1016/j.bpsc.2023.08.010.Peer-Reviewed Original ResearchNicotine use disorderHealthy controlsFunctional connectivity featuresUse disordersMagnetic resonance imagingNUD subjectsVisual cortexResonance imagingClinical metricsFunctional connectivityNoninvasive toolNeural phenotypesSample of individualsMulti-task learningTransdiagnostic approachUK BiobankReplication setGenetic profileMarkersReplication sampleHighest areaDisordersDepressionAUDBody of literature