2024
4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
Pusuluri K, Fu Z, Miller R, Pearlson G, Kochunov P, Van Erp T, Iraji A, Calhoun V. 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human Brain Mapping 2024, 45: e26773. PMID: 39045900, PMCID: PMC11267451, DOI: 10.1002/hbm.26773.Peer-Reviewed Original ResearchConceptsBrain networksFunctional magnetic resonance imagingAssociated with cognitive performanceDynamics of functional brain networksAssociated with cognitionFunctional brain networksVoxel-wise changesVolumetric couplingDynamical variablesCognitive performanceTypical controlsSchizophreniaCognitive impairmentNetwork pairsMagnetic resonance imagingPair of networksCognitionAtypical variabilityResonance imagingCouplingNetwork connectivityNetwork growthImpairmentBrainStatic networksInterpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks
Qu G, Orlichenko A, Wang J, Zhang G, Xiao L, Zhang K, Wilson T, Stephen J, Calhoun V, Wang Y. Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Transactions On Medical Imaging 2024, 43: 1568-1578. PMID: 38109241, PMCID: PMC11090410, DOI: 10.1109/tmi.2023.3343365.Peer-Reviewed Original ResearchConceptsGraph transformation frameworkBrain imaging datasetsFunctional brain networksPhiladelphia Neurodevelopmental CohortConvolutional deep learningFeature embeddingPropagation weightsGraph embeddingHuman Connectome ProjectAttention mechanismImage datasetsDeep learningGraph transformationFunctional connectivityAnalyze functional brain networksTransformation frameworkDiffusion strategyBrain networksPositional encodingSpatial knowledgePrediction accuracyIndividual cognitive abilitiesEmbeddingNetworkGraph
2023
6 Graph Analysis of Resting State Functional Brain Networks and Associations with Cognitive Outcomes in Survivors on Pediatric Brain Tumor
Semmel E, Calhoun V, Hillary F, Morris R, King T. 6 Graph Analysis of Resting State Functional Brain Networks and Associations with Cognitive Outcomes in Survivors on Pediatric Brain Tumor. Journal Of The International Neuropsychological Society 2023, 29: 316-317. DOI: 10.1017/s135561772300437x.Peer-Reviewed Original ResearchSurvivors of pediatric brain tumorsFunctional brain networksWorking memoryBrain networksCognitive outcomesProcessing speedLong-term neuropsychological deficitsResting state functional magnetic resonance imagingFunctional magnetic resonance imagingMeasures of attentionCore cognitive skillsLong-term cognitive outcomesStructural brain changesSmall-moderate effect sizeFunctional network propertiesSurvivors of brain tumorsBrain tumor survivorsGraph metricsResting state dataGlobal efficiencyNeuropsychological deficitsNeuropsychological testsBrain changesGroup differencesIndependence in adulthoodDeep 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 mechanismGraph analysis of resting state functional brain networks and associations with cognitive outcomes in survivors of pediatric brain tumor
Semmel E, Calhoun V, Hillary F, Morris R, King T. Graph analysis of resting state functional brain networks and associations with cognitive outcomes in survivors of pediatric brain tumor. Neuroimage Reports 2023, 3: 100178. DOI: 10.1016/j.ynirp.2023.100178.Peer-Reviewed Original ResearchSurvivors of pediatric brain tumorsFunctional brain networksWorking memoryBrain networksFunctional magnetic resonance imagingLong-term cognitive difficultiesCognitive outcomes in adulthoodCore cognitive skillsFunctional network propertiesOutcomes in adulthoodBrain tumor survivorsGraph metricsNeuroimaging researchNeuropsychological testsBrain changesCognitive difficultiesProcessing speedCognitive outcomesHub regionsSmall-worldCognitive skillsPost hoc analysisTumor survivorsPediatric brain tumor patientsSmall-world properties