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 subtyping for multi-state brain functional connectome with application on preadolescent brain cognition
Chen T, Zhao H, Tan C, Constable T, Yip S, Zhao Y. Bayesian subtyping for multi-state brain functional connectome with application on preadolescent brain cognition. Biostatistics 2024, 26: kxae045. PMID: 39656842, PMCID: PMC11823269, DOI: 10.1093/biostatistics/kxae045.Peer-Reviewed Original ResearchAdolescent Brain Cognitive DevelopmentVariational inference algorithmApproximate posterior inferenceFunctional connectivityMultiple cognitive statesInference algorithmExtensive simulationsNetwork topologyNetwork featuresFunctional network patternsBrain functional connectomeBrain functional connectivityEstimation accuracySubgroups of individualsNeurobiological heterogeneityCognitive profileCognitive statesConverging evidencePosterior inferenceDetection alternativesNeuroscience literatureBrain cognitionFunctional connectomeNetworkCognitive developmentBayesian 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 mediatorsBrainA 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 levelsPartitioningTopology-based Clustering of Functional Brain Networks in an Alzheimer's Disease Cohort.
Xu F, Gao M, Chen J, Garai S, Duong-Tran D, Zhao Y, Shen L. Topology-based Clustering of Functional Brain Networks in an Alzheimer's Disease Cohort. AMIA Joint Summits On Translational Science Proceedings 2024, 2024: 449-458. PMID: 38827100, PMCID: PMC11141857.Peer-Reviewed Original ResearchFunctional brain networksDistance kernelBrain networksUnsupervised clustering techniquesMedial temporal lobeMachine learning methodsTopology-based clusteringSpectral clusteringClustering algorithmClustering techniqueLearning methodsAlzheimer's disease cohortProgressive neurodegenerative diseaseNetwork neuroscienceFunctional MRI modalitiesFunctional topologyAlzheimer's diseaseNeurodegenerative diseasesWhole-brain phenomenonNetworkBrain functional topologyKernelInvestigate variationsAlzheimerFunctional connectivity
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 selectionApplicationsModelNetwork
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