2024
Sex‐specific topological structure associated with dementia via latent space estimation
Wang S, Wang Y, Xu F, Tian X, Fredericks C, Shen L, Zhao Y, Initiative F. Sex‐specific topological structure associated with dementia via latent space estimation. Alzheimer's & Dementia 2024 PMID: 39530632, DOI: 10.1002/alz.14266.Peer-Reviewed Original ResearchHeritability and genetic contribution analysis of structural-functional coupling in human brain
Dai W, Zhang Z, Song P, Zhang H, Zhao Y. Heritability and genetic contribution analysis of structural-functional coupling in human brain. Imaging Neuroscience 2024, 2: 1-19. DOI: 10.1162/imag_a_00346.Peer-Reviewed Original ResearchSC-FCSC-FC couplingStructural connectivityHuman Connectome ProjectConnectome ProjectVisual cortexCouplingFunctional connectivityWhite matter structural connectivityCingulo-opercularDorsal attentionGenetic correlation analysisSpectrum of complex traitsAdolescent Brain Cognitive Development StudyFunctional networksComplex traitsGenetic lociCognitive Development StudyGenetic variationGenetic interplayMode networkStructural-functional couplingSpectraCollaborative Survival Analysis on Predicting Alzheimer’s Disease Progression
Xu W, Wang S, Shen L, Zhao Y. Collaborative Survival Analysis on Predicting Alzheimer’s Disease Progression. Statistics In Biosciences 2024, 1-24. DOI: 10.1007/s12561-024-09459-0.Peer-Reviewed Original ResearchAlzheimer's diseaseGenes associated with neuronal developmentAlzheimer's Disease Neuroimaging InitiativeGenetic dataAlzheimer's disease progressionGenetic variationPhenotypic varianceAD progressionGenetic featuresNeuronal developmentGenetic biomarkersAlzheimerADNI databaseMild cognitive impairmentSNPsCanonical correlation analysisGenesStructural MRI scansCombination of brain imagingBrain imagingGeneticsProgression of mild cognitive impairmentAD literatureTime-to-event outcomesTime-to-event predictionsVolume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics
Nguyen N, Hou T, Amico E, Zheng J, Huang H, Kaplan A, Petri G, Goñi J, Kaufmann R, Zhao Y, Duong-Tran D, Shen L. Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. Lecture Notes In Computer Science 2024, 15003: 519-529. DOI: 10.1007/978-3-031-72384-1_49.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingHigher-order propertiesHuman Connectome Project Young Adult datasetDistribution of cavitiesAperiodic dynamicsAperiodic activityFunctional magnetic resonance imaging dataFunctional connectomePairwise interactionsConnectomeSpatial distribution of cavitiesDynamic insightsTask-positive stateHomologous scaffoldsSpatial distributionStatePersistent homologyMagnetoencephalographyInduced connectionResting stateNeuroimaging modalitiesYoung Adult datasetCortical regionsBayesian 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 mediatorsBrainSelf‐reported hearing loss is associated with faster cognitive and functional decline but not diagnostic conversion in the ADNI cohort
Miller A, Sharp E, Wang S, Zhao Y, Mecca A, van Dyck C, O'Dell R, Initiative F. Self‐reported hearing loss is associated with faster cognitive and functional decline but not diagnostic conversion in the ADNI cohort. Alzheimer's & Dementia 2024, 20: 7847-7858. PMID: 39324520, PMCID: PMC11567835, DOI: 10.1002/alz.14252.Peer-Reviewed Original ResearchSelf-reported hearing lossFunctional Activities QuestionnaireHearing lossMild cognitive impairmentModifiable risk factorsMild cognitive impairment participantsFunctional declineImpairment diagnosisModified Preclinical Alzheimer Cognitive CompositeRate of functional declineRate of cognitive declinePreclinical Alzheimer Cognitive CompositeRisk factorsCognitive impairmentSignificant longitudinal associationsActivity QuestionnaireLongitudinal associationsAlzheimer's Disease Neuroimaging InitiativeLongitudinal relationshipCognitive compositeCN participantsIncreased riskCognitive declineParticipantsDiagnostic conversionA Principled Framework to Assess the Information-Theoretic Fitness of Brain Functional Sub-Circuits
Duong-Tran D, Nguyen N, Mu S, Chen J, Bao J, Xu F, Garai S, Cadena-Pico J, Kaplan A, Chen T, Zhao Y, Shen L, Goñi J. A Principled Framework to Assess the Information-Theoretic Fitness of Brain Functional Sub-Circuits. Mathematics 2024, 12: 2967. PMID: 38979488, PMCID: PMC11230349, DOI: 10.3390/math12192967.Peer-Reviewed Original ResearchStochastic block modelMultiple levels of granularityLevels of granularityFunctional networksInformation-theoreticThreshold methodThreshold strategyFunctional connectomeSub-circuitsGranularityHuman brain connectomeNetworkHuman Connectome ProjectBlock modelBrain connectome analysisFunctional sub-circuitsTopological featuresFrameworkPrinciples frameworkConnectome ProjectBrain connectomeNetwork neuroscienceThreshold valueMultiple levelsPartitioningEstablishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling
Wang S, Wang Y, Xu F, Shen L, Zhao Y, Initiative A. Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling. Medical Image Analysis 2024, 99: 103309. PMID: 39243600, DOI: 10.1016/j.media.2024.103309.Peer-Reviewed Original ResearchBrain structural connectivityBrain connectivityStructural connectivityBrain connectivity matricesDiffusion MRITopological propertiesGenerative network modelsWhite matter fiber tractsAttributes of nodesConnectivity estimatesBrain networksGroup-level connectivityConnectivity matrixBrain regionsConnectivity architectureKnowledge of nodesAlzheimer's diseaseLatent space modelAnatomical informationGroup-level effectsImprove biological interpretationExtensive simulationsNetwork modelABC modelMedial amygdalar tau is associated with mood symptoms in preclinical Alzheimer’s disease
Li J, Tun S, Ficek-Tani B, Xu W, Wang S, Horien C, Toyonaga T, Nuli S, Zeiss C, Powers A, Zhao Y, Mormino E, Fredericks C. Medial amygdalar tau is associated with mood symptoms in preclinical Alzheimer’s disease. Biological Psychiatry Cognitive Neuroscience And Neuroimaging 2024 PMID: 39059466, DOI: 10.1016/j.bpsc.2024.07.012.Peer-Reviewed Original ResearchAssociated with mood symptomsMood symptomsAmyloid-positive individualsMedial amygdalaSeed-based functional connectivity analysisAssociated with anxiety symptomsSelf-reported mood symptomsPost hoc correlation analysisAlzheimer's diseaseFunctional connectivity analysisPreclinical Alzheimer's diseaseTau bindingOrbitofrontal cortexTau depositionAmygdalar connectivityEmotional processingAnxiety symptomsRetrosplenial cortexBetween-group differencesAmygdalaFunctional connectivityLateral amygdalaConnectivity analysisDepression scoresNeuropsychiatric symptomsMultiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits
Wen Z, Bao J, Yang S, Wen J, Zhan Q, Cui Y, Erus G, Yang Z, Thompson P, Zhao Y, Davatzikos C, Shen L. Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2024, 00: 1-5. PMID: 39371474, PMCID: PMC11452152, DOI: 10.1109/isbi56570.2024.10635581.Peer-Reviewed Original ResearchKnowledge-guided learning methods for integrative analysis of multi-omics data
Li W, Ballard J, Zhao Y, Long Q. Knowledge-guided learning methods for integrative analysis of multi-omics data. Computational And Structural Biotechnology Journal 2024, 23: 1945-1950. PMID: 38736693, PMCID: PMC11087912, DOI: 10.1016/j.csbj.2024.04.053.Peer-Reviewed Original ResearchAnalysis of multi-omics dataIntegrative analysis of multi-omics dataMulti-omics dataMulti-omics data integration methodBiological knowledgeMulti-omics data integrationMulti-omics data analysisMulti-omics studiesIntegrated analysisFunctional genomicsFunctional proteomicsData integration methodsComplex diseasesMolecular mechanismsAlzheimer's diseaseComprehensive insightGenomeProteomicsGenesAnalytical challengesPathwayAlzheimerBayesian mixed model inference for genetic association under related samples with brain network phenotype
Tian X, Wang Y, Wang S, Zhao Y, Zhao Y. Bayesian mixed model inference for genetic association under related samples with brain network phenotype. Biostatistics 2024, 25: 1195-1209. PMID: 38494649, DOI: 10.1093/biostatistics/kxae008.Peer-Reviewed Original ResearchSample relatednessGenetic studiesGenetic association studiesRisk genetic variantsImaging genetics studiesPopulation structureAssociation studiesQuantitative phenotypesQuantitative geneticsGenetic basisGenetic variantsGenetic associationGenetic contributionPhenotypeRelatednessConnectivity traitsNetwork phenotypesConnectivity phenotypesMarkov chain Monte CarloMixed-effects modelsPedigreeGeneticsBiological structuresTraitsHuman Connectome ProjectHeterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition
Wang S, Constable T, Zhang H, Zhao Y. Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition. Journal Of The American Statistical Association 2024, 119: 851-863. PMID: 39371422, PMCID: PMC11451334, DOI: 10.1080/01621459.2024.2311363.Peer-Reviewed Original ResearchBayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event
Tian X, Ciarleglio M, Cai J, Greene E, Esserman D, Li F, Zhao Y. Bayesian semi-parametric inference for clustered recurrent events with zero inflation and a terminal event. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2024, 73: 598-620. PMID: 39072299, PMCID: PMC11271983, DOI: 10.1093/jrsssc/qlae003.Peer-Reviewed Original ResearchSemi-parametric inferenceRecurrent eventsAccelerated failure time modelFailure time modelEfficient sampling algorithmFrailty distributionDirichlet processPosterior inferenceSampling algorithmTime modelTerminal eventSurvival processesComplex data structuresDirichletInferenceData structureFall injury preventionAlgorithmHomological Landscape of Human Brain Functional Sub-Circuits
Duong-Tran D, Kaufmann R, Chen J, Wang X, Garai S, Xu F, Bao J, Amico E, Kaplan A, Petri G, Goni J, Zhao Y, Shen L. Homological Landscape of Human Brain Functional Sub-Circuits. Mathematics 2024, 12: 455. DOI: 10.3390/math12030455.Peer-Reviewed Original ResearchFunctional sub-circuitsHuman brain functional connectivityWhole-brain functional connectivity networksNon-local propertiesWorking memory taskWhole-brain levelBrain functional connectivityNon-localFunctional connectivity networksMemory taskEmotional tasksLimbic networkMode networkFunctional connectivityBrain connectomeWhole-brainFormalismLocal structureMotor tasksConnectivity networksSubject domainSub-circuitsTask
2023
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis
Wen Z, Bao J, Yang S, Risacher S, Saykin A, Thompson P, Davatzikos C, Huang H, Zhao Y, Shen L. Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. Lecture Notes In Computer Science 2023, 14394: 227-240. PMID: 38584725, PMCID: PMC10993314, DOI: 10.1007/978-3-031-47425-5_21.Peer-Reviewed Original Research
2022
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis
Meng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene E. Simulating time-to-event data subject to competing risks and clustering: A review and synthesis. Statistical Methods In Medical Research 2022, 32: 305-333. PMID: 36412111, DOI: 10.1177/09622802221136067.Peer-Reviewed Original ResearchSex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults
Gui Y, Zhou X, Wang Z, Zhang Y, Wang Z, Zhou G, Zhao Y, Liu M, Lu H, Zhao H. Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults. Translational Psychiatry 2022, 12: 347. PMID: 36028495, PMCID: PMC9418275, DOI: 10.1038/s41398-022-02041-6.Peer-Reviewed Original ResearchConceptsCognitive functionFluid intelligenceCognitive traitsAdolescent Brain Cognitive Development (ABCD) studyPsychiatric disordersCognitive Development StudyMediation effectMost psychiatric disordersPolygenic risk scoresBrain functionBrain structuresBrain imagingEarly etiologySex differencesDevelopment studiesPsychiatric traitsChildrenIntelligenceDisordersSchizophreniaGenetic riskAdultsTraitsCognitionAutismBayesian 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 selectionApplicationsModelNetworkPursuing sources of heterogeneity in modeling clustered population.
Li Y, Yu C, Zhao Y, Yao W, Aseltine RH, Chen K. Pursuing sources of heterogeneity in modeling clustered population. Biometrics 2022, 78: 716-729. PMID: 33527347, DOI: 10.1111/biom.13434.Peer-Reviewed Original Research