2024
Frequency modulation increases the specificity of time-resolved connectivity: A resting-state fMRI study
Faghiri A, Yang K, Faria A, Ishizuka K, Sawa A, Adali T, Calhoun V. Frequency modulation increases the specificity of time-resolved connectivity: A resting-state fMRI study. Network Neuroscience 2024, 1-28. DOI: 10.1162/netn_a_00372.Peer-Reviewed Original ResearchSliding window Pearson correlationTime-resolved networksSingle sideband modulationTime-resolved connectivityResting-state fMRI studiesSideband modulationFunctional magnetic resonance imagingFunctional network connectivityResting-state functional magnetic resonance imagingActivity time seriesTypical controlsFrequency modulationLow-frequency informationStateEpisode of psychosisNetwork connectivityHuman brainSub-corticalSuperior performanceFMRI studyCortical regionsSearching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities
Fu Z, Batta I, Wu L, Abrol A, Agcaoglu O, Salman M, Du Y, Iraji A, Shultz S, Sui J, Calhoun V. Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities. NeuroImage 2024, 292: 120617. PMID: 38636639, DOI: 10.1016/j.neuroimage.2024.120617.Peer-Reviewed Original ResearchConceptsFunctional MRIStructural MRIResting-state scanSpatial similarity analysisMental health researchBrain markersDiffusion MRIAge differencesBrain featuresNeuromarkersBrain disordersYoung adult cohortBrain developmentWell-replicatedHuman brainBrainDiffusion MRI dataData-driven analysisDisordersSimilarity analysisAge cohortsGeneralizabilityPopulation-based researchAdult cohortAge-specific adaptation
2023
Higher-Order Organization in the Human Brain From Matrix-Based Rényi’s Entropy
Li Q, Yu S, Madsen K, Calhoun V, Iraji A. Higher-Order Organization in the Human Brain From Matrix-Based Rényi’s Entropy. 2023, 00: 1-5. DOI: 10.1109/icasspw59220.2023.10193346.Peer-Reviewed Original ResearchS-entropyHigher-order interactionsResting-state fMRI dataEstimate statistical dependenciesProbability distribution functionFMRI dataInformation processingHuman brainHigher-orderInformation interactionMutual informationMultivariate mutual informationTotal correlationOrderMultivariate time seriesInteractionHigher-order informationDependenceTopological Correction of Subject-Level Intrinsic Connectivity Networks
Lewis N, Iraji A, Miller R, Calhoun V. Topological Correction of Subject-Level Intrinsic Connectivity Networks. 2023, 00: 1-4. DOI: 10.1109/isbi53787.2023.10230598.Peer-Reviewed Original ResearchContrast-to-noiseIntrinsic connectivity networksTopological propertiesState-of-the-art methodsFunctional magnetic resonance imagingState-of-the-artFMRI signalsFunctional networksSpatial mappingLow contrast-to-noiseConnectivity networksSimilarity constraintTopological correctnessSubject-specific informationSpatial informationNetworkVoxelHuman brain