2017
Computational Psychiatry and the Challenge of Schizophrenia
Krystal JH, Murray JD, Chekroud AM, Corlett PR, Yang G, Wang XJ, Anticevic A. Computational Psychiatry and the Challenge of Schizophrenia. Schizophrenia Bulletin 2017, 43: 473-475. PMID: 28338845, PMCID: PMC5464204, DOI: 10.1093/schbul/sbx025.Peer-Reviewed Original ResearchConceptsComputational psychiatryReinforcement learning theoryNeural circuit modelMachine learningComplex datasetsFormal modelLarge datasetsLearning theorySchizophrenia researchDatasetSchizophreniaFormal theoryEnormous challengesPsychiatryDisordersLearningChallengesTheoryDifficultiesModelReadersApplicationsResearchPath
2014
Computational Psychiatry
Wang XJ, Krystal JH. Computational Psychiatry. Neuron 2014, 84: 638-654. PMID: 25442941, PMCID: PMC4255477, DOI: 10.1016/j.neuron.2014.10.018.Peer-Reviewed Original Research
2013
Exome-wide association study of replicable nonsynonymous variants conferring risk for alcohol dependence.
Zuo L, Saba L, Wang K, Zhang X, Krystal JH, Tabakoff B, Luo X. Exome-wide association study of replicable nonsynonymous variants conferring risk for alcohol dependence. Journal Of Studies On Alcohol And Drugs 2013, 74: 622-5. PMID: 23739027, PMCID: PMC3711352, DOI: 10.15288/jsad.2013.74.622.Peer-Reviewed Original ResearchConceptsApolipoprotein E receptor 2Risk genesNonsynonymous variantsRNA expression analysisExome-wide association studyE receptor 2Expression analysisAssociation studiesGenesWhole exomeProtein 2RNA expressionNsSNPReplicable associationsAlcohol dependenceNonhuman speciesEuropean American sampleReceptor 2UbiquitinVariantsMultiple testingSpeciesExomeBioinformaticsUBAP2