2024
A multimodal Neuroimaging-Based risk score for mild cognitive impairment
Zendehrouh E, Sendi M, Abrol A, Batta I, Hassanzadeh R, Calhoun V. A multimodal Neuroimaging-Based risk score for mild cognitive impairment. NeuroImage Clinical 2024, 45: 103719. PMID: 39637673, PMCID: PMC11664180, DOI: 10.1016/j.nicl.2024.103719.Peer-Reviewed Original ResearchMild cognitive impairment riskMild cognitive impairmentMild cognitive impairment groupRisk of mild cognitive impairmentRisk scoreUK Biobank participantsFunctional network connectivityCognitive impairmentPrecursor to ADSignificant cognitive declineBiobank participantsUK BiobankMild cognitive impairment individualsGenetic risk factorsAlzheimer's diseaseFunctional MRIHigh-risk groupStructural MRIAD riskRisk factorsCognitive declineFeatures of CNGray matterDifferentiate CNParticipantsFunctionally-Adaptive Gray and White Matter Structural Basis Sets via Dynamic Fusion of Multimodal MRI Data
Duda M, Calhoun V. Functionally-Adaptive Gray and White Matter Structural Basis Sets via Dynamic Fusion of Multimodal MRI Data. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40040008, DOI: 10.1109/embc53108.2024.10782492.Peer-Reviewed Original ResearchParallel Multilink Joint ICA for Multimodal Fusion of Gray Matter and Multiple Resting fMRI Networks
Khalilullah K, Agcaoglu O, Duda M, Calhoun V. Parallel Multilink Joint ICA for Multimodal Fusion of Gray Matter and Multiple Resting fMRI Networks. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40039683, DOI: 10.1109/embc53108.2024.10782528.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingJoint independent component analysisAssociated with Alzheimer's diseaseFalse discovery rateMultimodal fusion approachGray matterAssess group differencesHealthy controlsMultimodal fusionIndependent component analysisFusion approachSensorimotor domainBrain regionsSMRI dataGroup differencesParacentral lobuleBrain functionAD pathologyConnectivity patternsDiscovery rateJoint ICAJoint relationshipAlzheimer's diseaseActivity patternsMagnetic resonance imagingGray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity
Bi Y, Abrol A, Jia S, Sui J, Calhoun V. Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity. NeuroImage 2024, 297: 120674. PMID: 38851549, DOI: 10.1016/j.neuroimage.2024.120674.Peer-Reviewed Original ResearchFunctional network connectivityMedial prefrontal cortexBrain structuresFunctional network connectivity matricesPrefrontal cortexStructural MRINetwork connectivityGray matterSelf-attention mechanismGenerative adversarial networkDeep learning architectureBrain disordersDorsolateral prefrontal cortexResearch of schizophreniaNeural signal processingIdentified functional connectivityCross-domain analysisAttention mapsStructural biomarkersAdversarial networkLearning architectureDL-PFCICA algorithmSchizophrenia patientsHigh-dimensional fMRI dataSpatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images
Shaik N, Cherukuri T, Calhoun V, Ye D. Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635528.Peer-Reviewed Original ResearchCognitive abilitiesStructural MRIAttention mechanismSchizophrenia classificationChronic mental disordersIndividual cognitive abilitiesTransfer learning paradigmDeep learning methodologyMental disordersSchizophreniaFeature mapsFeature representationConvolutional blocksAttention networkBrain MR imagesLearning paradigmSocial interactionClassification of individualsStructural brain MR imagesGray matterLearning methodologyExcitable networksClinical datasetsBrainManual observationCortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC
Rootes-Murdy K, Panta S, Kelly R, Romero J, Quidé Y, Cairns M, Loughland C, Carr V, Catts S, Jablensky A, Green M, Henskens F, Kiltschewskij D, Michie P, Mowry B, Pantelis C, Rasser P, Reay W, Schall U, Scott R, Watkeys O, Roberts G, Mitchell P, Fullerton J, Overs B, Kikuchi M, Hashimoto R, Matsumoto J, Fukunaga M, Sachdev P, Brodaty H, Wen W, Jiang J, Fani N, Ely T, Lorio A, Stevens J, Ressler K, Jovanovic T, van Rooij S, Federmann L, Jockwitz C, Teumer A, Forstner A, Caspers S, Cichon S, Plis S, Sarwate A, Calhoun V. Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC. Patterns 2024, 5: 100987. PMID: 39081570, PMCID: PMC11284501, DOI: 10.1016/j.patter.2024.100987.Peer-Reviewed Original ResearchPsychiatric disordersStructural neuroimaging studiesPattern of gray matterAutism spectrum disorderGray matterDepressive disorderMood disordersNeuroimaging studiesNeuroanatomical basisSubcortical regionsGM alterationsSpectrum disorderVBM analysisMental illnessGM patternsDisordersCollaborative InformaticsSchizophreniaMoodNeuroimaging Suite ToolkitAutismNeuroimagingVulnerabilityLarge-scale dataDeficits
2023
A brain‐wide risk score of Alzheimer’s disease based on multimodal neuroimaging predicts cognition in large N>37000 population data
Zendehrouh E, Sendi M, Calhoun V. A brain‐wide risk score of Alzheimer’s disease based on multimodal neuroimaging predicts cognition in large N>37000 population data. Alzheimer's & Dementia 2023, 19 DOI: 10.1002/alz.077591.Peer-Reviewed Original ResearchMild cognitive impairmentAD riskGenetic risk of ADCognitive scoresRisk of ADFunctional network connectivityUK BiobankAlzheimer's diseaseGenetic riskRisk scoreBackground Alzheimer’s diseaseFI scoreFluid intelligenceCognitive impairmentPopulation dataEvaluate individualsGray matterScoresRiskReaction timeBiotypesF71. NETWORK OF CO-METHYLATION ASSOCIATED WITH GREY MATTER MATURATION IN HUMAN ADOLESCENCE
Jensen D, Chen J, Turner J, Stephen J, Wang Y, Wilson T, Calhoun V, Liu J. F71. NETWORK OF CO-METHYLATION ASSOCIATED WITH GREY MATTER MATURATION IN HUMAN ADOLESCENCE. European Neuropsychopharmacology 2023, 75: s258-s259. DOI: 10.1016/j.euroneuro.2023.08.455.Peer-Reviewed Original ResearchStructural MRIBrain maturationNeuronal systemsCo-methylation network analysisPeriod of brain maturationAdolescent brain developmentAdolescent brain maturationPhases of neurodevelopmentIndependent component analysisGray matterHuman brain structureGM maturationDNAm changesCo-methylation modulesPrefrontal cortexExecutive functionFrontal poleGM volumeTime pointsSubjects aged 9Brain structuresCpG sitesSynaptic pruningBrain developmentDNA methylationEpigenetic associations with adolescent grey matter maturation and cognitive development
Jensen D, Chen J, Turner J, Stephen J, Wang Y, Wilson T, Calhoun V, Liu J. Epigenetic associations with adolescent grey matter maturation and cognitive development. Frontiers In Genetics 2023, 14: 1222619. PMID: 37529779, PMCID: PMC10390095, DOI: 10.3389/fgene.2023.1222619.Peer-Reviewed Original ResearchGM volume increaseGray matter maturationPatterns of brain maturationImprove cognitive performanceGray matterExecutive functionEpisodic memoryCognitive performanceCognitive testsBrain structuresProcessing speedBrain maturationCognitive AssessmentCognitive scoresBrain imagingAged 9BrainEpigenetic associationsAdolescentsLongitudinal cohortDNA methylationHuman neurodevelopmentDNA methylation of genesCytosine-phosphate-guanine (CpG) sitesBrain tissueNetwork 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 edgesBrainFunctional 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 connectivity
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