2024
Illusory generalizability of clinical prediction models
Chekroud A, Hawrilenko M, Loho H, Bondar J, Gueorguieva R, Hasan A, Kambeitz J, Corlett P, Koutsouleris N, Krumholz H, Krystal J, Paulus M. Illusory generalizability of clinical prediction models. Science 2024, 383: 164-167. PMID: 38207039, DOI: 10.1126/science.adg8538.Peer-Reviewed Original Research
2019
Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk
Tang Y, Zhou Q, Chang M, Chekroud A, Gueorguieva R, Jiang X, Zhou Y, He G, Rowland M, Wang D, Fu S, Yin Z, Leng H, Wei S, Xu K, Wang F, Krystal JH, Driesen NR. Altered functional connectivity and low-frequency signal fluctuations in early psychosis and genetic high risk. Schizophrenia Research 2019, 210: 172-179. PMID: 30685394, DOI: 10.1016/j.schres.2018.12.041.Peer-Reviewed Original ResearchConceptsFunctional connectivityHigh-risk individualsAltered functional connectivityHealthy comparison subjectsGenetic high riskGenetic high-risk individualsLow-frequency signal fluctuationsFunctional magnetic resonanceALFF abnormalitiesALFF measuresFunctional connectivity measuresBasal gangliaFirst episodeHigh riskEarly psychosisComparison subjectsSchizophrenia diathesisSchizophrenia vulnerabilityFESzGenetic riskLow-frequency fluctuationsIllnessSchizophreniaVoxel connectivityGHR
2018
Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia
Zheutlin AB, Chekroud AM, Polimanti R, Gelernter J, Sabb FW, Bilder RM, Freimer N, London ED, Hultman CM, Cannon TD. Multivariate Pattern Analysis of Genotype–Phenotype Relationships in Schizophrenia. Schizophrenia Bulletin 2018, 44: 1045-1052. PMID: 29534239, PMCID: PMC6101611, DOI: 10.1093/schbul/sby005.Peer-Reviewed Original ResearchConceptsMultivariate pattern analysisIndependent samplesVisual memoryCognitive endophenotypesPredictive strengthSchizophreniaMemoryIndividual variationPattern analysisSingle predictorCertain domainsDiscovery samplePsychiatric patientsPolygenic risk scoresPredictive powerScoresEndophenotypesPotential relationshipRelationshipRandom forestGenetic risk variantsLimited setPredictorsComprehensive setSamples
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