2024
Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis
Belyaeva I, Wang Y, Wilson T, Calhoun V, Stephen J, Adali T. Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis. 2015 23rd European Signal Processing Conference (EUSIPCO) 2024, 1362-1366. DOI: 10.23919/eusipco63174.2024.10714926.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingFunctional magnetic resonance imaging dataMultisensory integrationSensory stimuliEffect of multisensory integrationMultisensory integration effectsMultiple sensory stimuliBrain imaging modalitiesCognitive developmentBrain image analysisBrain developmental patternsSensory modalitiesBrain componentsLearning paradigmMagnetoencephalographyMagnetic resonance imagingBrainDevelopmental patternsStimuliMultiple sensesCanonical polyadic tensor decompositionMultimodal data fusion frameworkAdolescentsMultitask learning paradigmPolyadic tensor decomposition
2023
Developmental changes in endogenous testosterone have sexually‐dimorphic effects on spontaneous cortical dynamics
Picci G, Ott L, Penhale S, Taylor B, Johnson H, Willett M, Okelberry H, Wang Y, Calhoun V, Stephen J, Wilson T. Developmental changes in endogenous testosterone have sexually‐dimorphic effects on spontaneous cortical dynamics. Human Brain Mapping 2023, 44: 6043-6054. PMID: 37811842, PMCID: PMC10619376, DOI: 10.1002/hbm.26496.Peer-Reviewed Original ResearchConceptsCortical activityRobust sex differencesFunctional brain developmentTypically-developing youthSpontaneous cortical activityLowest relative powerCortical dynamicsEndogenous testosteronePrefrontal cortexExecutive functionFrontal cortexPubertal hormonesNeural circuitryResting-stateStructural MRIEffects of testosteroneSex differencesEffects of endogenous testosteroneDevelopmental changesBrain developmentReverse patternBehavioral changesGamma activityDevelopmental windowDevelopmental patternsDeep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity
Qiao C, Gao B, Liu Y, Hu X, Hu W, Calhoun V, Wang Y. Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Analysis 2023, 90: 102941. PMID: 37683445, DOI: 10.1016/j.media.2023.102941.Peer-Reviewed Original ResearchFunctional connectivityBrain functional connectivityBrain networksDynamic brain functional connectivityDeep networksFunctional brain networksInformation processing abilityBrain development studiesEmotional processingDeep learning approachFeature selection strategyMachine learning modelsProcessing abilityBrain developmentCognitive activityDeep learningAccuracy-orientedSound processingBrainDevelopmental patternsLearning approachLearning modelsMental regulationSelection strategyInformation transmission mechanism