2025
Cost Efficiency of fMRI Studies Using Resting‐State Vs. Task‐Based Functional Connectivity
Zhang X, Hulvershorn L, Constable T, Zhao Y, Wang S. Cost Efficiency of fMRI Studies Using Resting‐State Vs. Task‐Based Functional Connectivity. Human Brain Mapping 2025, 46: e70260. PMID: 40543060, PMCID: PMC12182254, DOI: 10.1002/hbm.70260.Peer-Reviewed Original ResearchConceptsNeuroimaging studiesNeuropsychological outcomesFMRI conditionsGradual-onset continuous performance taskCognitive control outcomesN-back memory taskContinuous performance taskNegative emotional outcomesFMRI taskMemory taskFMRI studyPerformance tasksTask conditionsEmotional outcomesFMRITaskFunctional fingerprintsPower differentialsSociabilityOutcomesControl outcomesBayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
Li C, Tian X, Gao S, Wang S, Wang G, Zhao Y, Zhao Y. Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics. Statistics In Medicine 2025, 44: e70069. PMID: 40277222, DOI: 10.1002/sim.70069.Peer-Reviewed Original ResearchConceptsSample relatednessLongitudinal genome-wide association studiesGenome-wide association studiesBrain imaging genetic studiesMultivariate phenotypesGenetic signalsImaging genetics studiesAssociation studiesGenetic studiesGenetic variantsGenetic underpinningsGenetic contributionGenetic effectsRelatednessAdolescent Brain Cognitive DevelopmentBrain functional connectivityFunctional organizationBiological architectureFunctional connectivityRobust inferenceGeneticsPhenotypeAnalytical challengesPosterior inferenceBrain network configurationA genetically informed brain atlas for enhancing brain imaging genomics
Bao J, Wen J, Chang C, Mu S, Chen J, Shivakumar M, Cui Y, Erus G, Yang Z, Yang S, Wen Z, Zhao Y, Kim D, Duong-Tran D, Saykin A, Zhao B, Davatzikos C, Long Q, Shen L. A genetically informed brain atlas for enhancing brain imaging genomics. Nature Communications 2025, 16: 3524. PMID: 40229250, PMCID: PMC11997130, DOI: 10.1038/s41467-025-57636-6.Peer-Reviewed Original ResearchConceptsBrain imaging genomicsImaging genomicsComplex traits/diseasesSNP heritabilityFunctional annotationGenetic architecturePolygenic risk scoresGenomic investigationsGenetic ancestryDiscovery powerBrain atlasesHuman brain structureGenetic determinantsNeuroanatomical heterogeneityGenomeNeuroanatomical variationImaging endophenotypesBrain structuresMolecular levelBrain voxelsHeritabilityPhenotypic correlationsGiant regionGeneticsBrain conditionsSemiparametric joint modeling for biomarker trajectory before disease onset
Sun Y, Zhao X, Chan K, Xu W, Allore H, Zhao Y. Semiparametric joint modeling for biomarker trajectory before disease onset. Biometrics 2025, 81: ujaf064. PMID: 40433774, PMCID: PMC12117339, DOI: 10.1093/biomtc/ujaf064.Peer-Reviewed Original ResearchConceptsSemiparametric joint modelFinite-sample performanceLarge-sample propertiesConduct simulation studiesBiomarker trajectoriesNatural time scaleJoint modelEstimated regression coefficientsTime-on-studySimulation studyTrajectory functionRegression coefficientsEquationsKernelTime scalesProfile kernel
2024
Bayesian thresholded modeling for integrating brain node and network predictors
Sun Z, Xu W, Li T, Kang J, Alanis-Lobato G, Zhao Y. Bayesian thresholded modeling for integrating brain node and network predictors. Biostatistics 2024, 26: kxae048. PMID: 39780514, PMCID: PMC11823287, DOI: 10.1093/biostatistics/kxae048.Peer-Reviewed Original ResearchConceptsPrediction mechanismNetwork-level metricsExtensive simulationsNetwork predictorPrior modelsSub-networksVector-variantPosterior inferenceNodesSignal patternsPredictable componentBrain nodesSpatial contiguityBayesian regression modelsImagesHierarchyLiterature gapNetworkMetricsCommunicationAlternative approachOut-of-sample predictionsInferenceModelBayesian pathway analysis over brain network mediators for survival data
Tian X, Li F, Shen L, Esserman D, Zhao Y. Bayesian pathway analysis over brain network mediators for survival data. Biometrics 2024, 80: ujae132. PMID: 39530270, PMCID: PMC11555425, DOI: 10.1093/biomtc/ujae132.Peer-Reviewed Original ResearchConceptsAccelerated failure time modelFailure time modelBrain connectivityAlzheimer's Disease Neuroimaging Initiative studyMaximum information extractionResponse regressionBayesian approachInformation extractionTime modelSurvival dataNoisy componentsUnique edgeWhite matter fiber tractsNetwork configurationBrain networksInterconnection networksNetworkNetwork mediatorsBrain
2022
Bayesian network mediation analysis with application to the brain functional connectome
Zhao Y, Chen T, Cai J, Lichenstein S, Potenza M, Yip S. Bayesian network mediation analysis with application to the brain functional connectome. Statistics In Medicine 2022, 41: 3991-4005. PMID: 35795965, PMCID: PMC10131252, DOI: 10.1002/sim.9488.Peer-Reviewed Original ResearchConceptsStochastic block modelBayesian paradigmBrain functional connectomeBlock modelConnectivity weightsFunctional connectomeNetwork measurementsEffect componentApproach applicationBlock allocationOpioid abstinenceAnalytic approachNetwork neurosciencePractical illustrationTherapeutic interventionsMediation analysisNeural circuitsNetwork structureBrain functioningMediatorsFunctional networksFeature selectionApplicationsModelNetworkBayesian Interaction Selection Model for Multimodal Neuroimaging Data Analysis
Zhao Y, Wu B, Kang J. Bayesian Interaction Selection Model for Multimodal Neuroimaging Data Analysis. Biometrics 2022, 79: 655-668. PMID: 35220581, PMCID: PMC9418386, DOI: 10.1111/biom.13648.Peer-Reviewed Original ResearchIdentifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data.
Bao J, Wen Z, Kim M, Zhao X, Lee BN, Jung SH, Davatzikos C, Saykin AJ, Thompson PM, Kim D, Zhao Y, Shen L. Identifying highly heritable brain amyloid phenotypes through mining Alzheimer's imaging and sequencing biobank data. Biocomputing 2022, 27: 109-120. PMID: 34890141, PMCID: PMC8730532.Peer-Reviewed Original ResearchIdentifying imaging genetic associations via regional morphometricity estimation.
Bao J, Wen Z, Kim M, Saykin AJ, Thompson PM, Zhao Y, Shen L. Identifying imaging genetic associations via regional morphometricity estimation. Biocomputing 2022, 27: 97-108. PMID: 34890140, PMCID: PMC8730533.Peer-Reviewed Original Research
2018
Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease
Freeze B, Acosta D, Pandya S, Zhao Y, Raj A. Regional expression of genes mediating trans-synaptic alpha-synuclein transfer predicts regional atrophy in Parkinson disease. NeuroImage Clinical 2018, 18: 456-466. PMID: 29868450, PMCID: PMC5984599, DOI: 10.1016/j.nicl.2018.01.009.Peer-Reviewed Original ResearchConceptsRegional brain atrophyProgression Markers InitiativeBrain atrophyRegional atrophyParkinson's Progression Markers InitiativeMultivariable regression analysisSignificant predictorsHigh-resolution magnetic resonanceParkinson's disease pathogenesisAutosomal recessive PDPD-related genesRegional expressionResolution magnetic resonanceBrain atlasParkinson's diseaseRegional dysfunctionDisease pathogenesisAtrophyGenetic predictorsTop candidate genesExpression patternsAllen Brain AtlasRegression analysisPredictorsMagnetic resonanceRegional vulnerability in Alzheimer's disease: The role of cell‐autonomous and transneuronal processes
Acosta D, Powell F, Zhao Y, Raj A. Regional vulnerability in Alzheimer's disease: The role of cell‐autonomous and transneuronal processes. Alzheimer's & Dementia 2018, 14: 797-810. PMID: 29306583, PMCID: PMC5994366, DOI: 10.1016/j.jalz.2017.11.014.Peer-Reviewed Original Research
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