2024
Multi-modal deep learning from imaging genomic data for schizophrenia classification
Kanyal A, Mazumder B, Calhoun V, Preda A, Turner J, Ford J, Ye D. Multi-modal deep learning from imaging genomic data for schizophrenia classification. Frontiers In Psychiatry 2024, 15: 1384842. PMID: 39006822, PMCID: PMC11239396, DOI: 10.3389/fpsyt.2024.1384842.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsGenomic dataGenetic markersGenomic markersBrains of individualsNucleotide polymorphismsEtiology of SZFunctional magnetic resonance imagingStructural magnetic resonance imagingMorphological featuresLayerwise relevance propagationHereditary aspectsHealthy controlsMarkersCross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs
Bi Y, Abrol A, Sui J, Calhoun V. Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs. 2024, 00: 1756-1760. DOI: 10.1109/icassp48485.2024.10446450.Peer-Reviewed Original ResearchFunctional network connectivityStructural magnetic resonance imagingCross-modality synthesisFunctional network connectivity matricesGenerative adversarial networkFunctional connectivity networksAdversarial networkSubcortical brain regionsMedical imagesNetwork connectivityFusion of MRIConnectivity networksDecentralized Mixed Effects Modeling in COINSTAC
Basodi S, Raja R, Gazula H, Romero J, Panta S, Maullin-Sapey T, Nichols T, Calhoun V. Decentralized Mixed Effects Modeling in COINSTAC. Neuroinformatics 2024, 22: 163-175. PMID: 38424371, DOI: 10.1007/s12021-024-09657-7.Peer-Reviewed Original ResearchLarge-scale analysis of dataDecentralized platformLow bandwidthData transferMemory requirementsData sharingSubstantial overheadsCOINSTACStructural magnetic resonance imagingNeuroimaging communityDataData poolNeuroimaging analysisOverheadsPrivacyLarge-scale analysisImagesMagnetic resonance imagingGray matter reductionsMedial frontal regionsDimensionalityLinear mixed-effectsModeling approachBandwidthResearch groups
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 dataFunctional and Structural Longitudinal Change Patterns in Adolescent Brain
Saha R, Saha D, Fu Z, Silva R, Calhoun V. Functional and Structural Longitudinal Change Patterns in Adolescent Brain. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38082649, DOI: 10.1109/embc40787.2023.10340079.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingStructural magnetic resonance imagingFunctional network connectivityWhole-brainGray matterBrain functional magnetic resonance imagingMagnetic resonance imagingAdolescent brainFunctional connectivityResonance imagingMultivariate patternsLongitudinal change patternsUnivariate changesAdolescentsLongitudinal changesBrainIncreasing ageFunctional changesComplementary techniquesNetwork connectivityMultimodal deep learning for Alzheimer’s disease classification and clinical score prediction
Itkyal V, Batta I, Abrol A, Calhoun V. Multimodal deep learning for Alzheimer’s disease classification and clinical score prediction. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/3053.Peer-Reviewed Original ResearchStructural magnetic resonance imagingResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingMagnetic resonance imagingFederated Linear Mixed Effects Modeling for Voxel-Based Morphometry
Basodi S, Raja R, Gazula H, Romero J, Panta S, Calhoun V. Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. 2023, 00: 1-4. DOI: 10.1109/isbi53787.2023.10230684.Peer-Reviewed Original Research