Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data*
Falakshahi H, Rokham H, Miller R, Liu J, Calhoun V. Network Differential in Gaussian Graphical Models from Multimodal Neuroimaging Data*. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-6. PMID: 38083176, DOI: 10.1109/embc40787.2023.10340856.Peer-Reviewed Original ResearchConceptsStatic functional network connectivityGaussian graphical modelsBrain disordersBrain graphsModel of schizophreniaMiddle temporal gyrusMechanisms of brain disordersFunctional network connectivityGray matter featuresBrain network analysisTemporal gyrusGroup graphPath-based analysisCerebellar regionsGraph theory approachSchizophreniaMultimodal studiesGraphical modelsNetwork connectivityNetwork differentiationGray matterGraphical metricsControl graphPairwise edgesBrainJoint Structural and Functional Connectivity Learning Based Independent Component Analysis
Fouladivanda M, Iraji A, Wu L, Calhoun V. Joint Structural and Functional Connectivity Learning Based Independent Component Analysis. 2023, 00: 1-5. DOI: 10.1109/mlsp55844.2023.10285932.Peer-Reviewed Original ResearchJoint learning procedureIndependent component analysisFunctional connectivity informationData-driven approachLearning procedureConnectivity informationICA approachMultiple modalitiesComplementary informationComponent analysisBrain network analysisIntrinsic connectivity networksJoint approachConnectivity networksInformationIncreasing developmentDatasetBrain's intrinsic connectivity networksNetworkNetwork analysisSensitive to group differences