2024
A Multi-dimensional Joint ICA Model with Gaussian Copula
Agcaoglu O, Silva R, Alacam D, Calhoun V. A Multi-dimensional Joint ICA Model with Gaussian Copula. Lecture Notes In Computer Science 2024, 14366: 152-163. DOI: 10.1007/978-3-031-51026-7_14.Peer-Reviewed Original ResearchIndependent component analysisBivariate distributionMarginal distributionsGaussian copulaLogistic distributionJoint ICAImage data miningSuper-Gaussian distributionImage datasetsFunctional magnetic resonance imaging datasetsInfomax principleAlzheimer's Disease Neuroimaging InitiativeProposed algorithmData miningIdentical marginalsMagnetic resonance imaging datasetICA modelMultimodal versionICA methodJoint independent component analysisCopulasDatasetMaximum likelihoodMixing matrixNeuroimaging data
2023
Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain
Saha R, Saha D, Fu Z, Silva R, Calhoun V. Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. 2023, 00: 1-5. DOI: 10.1109/bhi58575.2023.10313489.Peer-Reviewed Original ResearchFunctional network connectivityAdolescent brainPotential gender-related differencesBilateral sensorimotor cortexStructural magnetic resonance imagingMagnetic resonance imagingBrain functional connectivityGender-related differencesSensorimotor cortexLongitudinal change patternsGrey matter dataResonance imagingJoint independent component analysisLongitudinal changesFunctional connectivityBrain developmentBrain functionEntire brainBrain connectivityBrain connectionsBrain analysisBrainSensorimotor domainModalitiesSMRI dataAny-Way Independent Component Analysis with Reference
Duan K, Silva R, Liu J, Agcaoglu O, Calhoun V. Any-Way Independent Component Analysis with Reference. 2023, 00: 1-4. DOI: 10.1109/isbi53787.2023.10230369.Peer-Reviewed Original ResearchCross-modal correlationIndependent component analysisMultiset canonical correlation analysisOptimal global solutionMultimodal fusionNoisy conditionsOrthogonality requirementCanonical correlation analysisIndependence of sourcesJoint independent component analysisSimulation resultsComponent analysisImproved accuracyComponent matricesGlobal solutionICAMultisetsMultimodal patternsOrthogonalitySymmetric data-driven fusion of diffusion tensor MRI: Age differences in white matter
Colmenares A, Hefner M, Calhoun V, Salerno E, Fanning J, Gothe N, McAuley E, Kramer A, Burzynska A. Symmetric data-driven fusion of diffusion tensor MRI: Age differences in white matter. Frontiers In Neurology 2023, 14: 1094313. PMID: 37139071, PMCID: PMC10149813, DOI: 10.3389/fneur.2023.1094313.Peer-Reviewed Original ResearchDiffusion tensor imagingAge differencesExamination of age differencesPattern of age differencesFractional anisotropyRadial diffusivityJoint independent component analysisCognitively healthy adultsWhite matterDiffusion tensor imaging parametersFluid abilitiesPrefrontal WMProcessing speedDiagnostic classificationWM pathologyDiffusion tensor imaging datasetsAging WMUnimodal analysisTensor imagingIndependent component analysisClinical samplesHealthy agingCognitionCorpus callosumHealthy adults