2024
Data augmentation for schizophrenia diagnosis via vision transformer-based latent diffusion model
Yang Y, Ma S, Cao S, Jia S, Bi Y, Calhoun V. Data augmentation for schizophrenia diagnosis via vision transformer-based latent diffusion model. Proceedings Of SPIE--the International Society For Optical Engineering 2024, 13252: 1325214-1325214-7. DOI: 10.1117/12.3044654.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingFunctional network connectivity matricesIndependent component analysisVision Transformer (ViTAdvanced artificial intelligence techniquesTraditional U-NetArtificial intelligence techniquesFunctional magnetic resonance imaging dataGroup independent component analysisNetwork connectivity matrixDenoising functionData augmentationImage generationIntelligence techniquesU-NetSmall datasetsDiagnosed schizophreniaSchizophrenia diagnosisGeneration taskNeuroimaging dataSchizophreniaComputational burdenConnectivity matrixMagnetic resonance imagingRelevant informationDistribution of Connectivity Strengths Across Functional Regions has Higher Entropy in Schizophrenia Patients than in Controls
Maksymchuk N, Miller R, Calhoun V. Distribution of Connectivity Strengths Across Functional Regions has Higher Entropy in Schizophrenia Patients than in Controls. 2024, 00: 37-40. DOI: 10.1109/ssiai59505.2024.10508663.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingGroup independent component analysisSchizophrenia patientsCognitive controlResting-state functional magnetic resonance imagingIntrinsic connectivity networksHealthy controlsGender-matched healthy controlsSZ patientsNeuropsychiatric disordersBrain areasBrain networksSchizophreniaDisrupted integrityBrain domainsConnection strengthIndependent component analysisConnectivity networksMagnetic resonance imagingSomatomotorDistribution of connection strengthsResonance imagingCross-sectional dataPatientsDiagnostic tests
2023
Psychopathic traits and altered resting-state functional connectivity in incarcerated adolescent girls
Allen C, Maurer J, Gullapalli A, Edwards B, Aharoni E, Harenski C, Anderson N, Harenski K, Calhoun V, Kiehl K. Psychopathic traits and altered resting-state functional connectivity in incarcerated adolescent girls. Frontiers In Neuroimaging 2023, 2: 1216494. PMID: 37554634, PMCID: PMC10406221, DOI: 10.3389/fnimg.2023.1216494.Peer-Reviewed Original ResearchAmplitude of low-frequency fluctuationPsychopathic traitsResting-state networksLow-frequency fluctuationsAssociation of psychopathic traitsCorrelates of psychopathic traitsIncarcerated adolescent girlsResting-state fMRI scansResting-state functional connectivityElevated psychopathic traitsCognitive control networkGroup independent component analysisMode network componentsInter-network connectivityIntra-network connectivityHigh-risk adolescent girlsIndependent component analysisResting-state measuresFunctional network propertiesAdolescent girlsFMRI scanningParalimbic regionsMode networkIncarcerated boysFunctional connectivityResting‐state dynamic functional network connectivity predicts cognition in 37,784 participants of UK Biobank
Sendi M, Zendehrouh E, Miller R, Salat D, Calhoun V. Resting‐state dynamic functional network connectivity predicts cognition in 37,784 participants of UK Biobank. Alzheimer's & Dementia 2023, 19 DOI: 10.1002/alz.065832.Peer-Reviewed Original ResearchFunctional network connectivityDynamic FNCDynamic functional network connectivityCognitive scoresFluid intelligenceCognitive declineAge-related cognitive declineGroup independent component analysisResting-state functional MRIBrain functional changesResting-state fMRIBrain functional network connectivityReaction timeParticipants of UK BiobankRT taskFunctional MRIRs-fMRIPairing taskCognitionIndependent component analysisUK BiobankBrainNetwork connectivityHealthy adultsData-driven componentsGroup independent components underpin responses to items from a depression scale.
Stoyanov D, Khorev V, Paunova R, Kandilarova S, Kurkin S, Calhoun V. Group independent components underpin responses to items from a depression scale. Acta Neuropsychiatrica 2023, 36: 9-16. PMID: 37088536, DOI: 10.1017/neu.2023.22.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingGroup independent component analysisSelf-evaluation scaleFrontal gyrusCingulate cortexDepression ScaleRight superior frontal gyrusFunctional magnetic resonance imaging acquisitionHealthy controlsRight middle cingulate cortexAnterior cingulate cortexMiddle frontal gyrusSuperior frontal gyrusMiddle cingulate cortexIndependent component analysisGroup independent componentStatistical parametric mappingDepressive disorderDepressive episodeBrain circuitsBrain networksNeural network patternsDiagnostic conditionsParametric mappingGyrus