2024
Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging
Qiu L, Liang C, Kochunov P, Hutchison K, Sui J, Jiang R, Zhi D, Vergara V, Yang X, Zhang D, Fu Z, Bustillo J, Qi S, Calhoun V. Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging. Translational Psychiatry 2024, 14: 326. PMID: 39112461, PMCID: PMC11306356, DOI: 10.1038/s41398-024-03035-2.Peer-Reviewed Original ResearchConceptsFronto-limbic networkSalience networkAssociated with cognitionFronto-basal gangliaDevelopmental disordersBrain networksLimbic systemAlcohol useAssociated with alcohol useMultimodal brain networksTobacco useAssociation of alcoholPsychiatric disordersMultimodal neuroimagingDMNBrain featuresCognitionAlcohol/tobacco useDisordersAssociated with tobacco useDepressionSymptomsFunctional abnormalitiesAlcoholBrain4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
Pusuluri K, Fu Z, Miller R, Pearlson G, Kochunov P, Van Erp T, Iraji A, Calhoun V. 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human Brain Mapping 2024, 45: e26773. PMID: 39045900, PMCID: PMC11267451, DOI: 10.1002/hbm.26773.Peer-Reviewed Original ResearchConceptsBrain networksFunctional magnetic resonance imagingAssociated with cognitive performanceDynamics of functional brain networksAssociated with cognitionFunctional brain networksVoxel-wise changesVolumetric couplingDynamical variablesCognitive performanceTypical controlsSchizophreniaCognitive impairmentNetwork pairsMagnetic resonance imagingPair of networksCognitionAtypical variabilityResonance imagingCouplingNetwork connectivityNetwork growthImpairmentBrainStatic networksA Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age
Saha R, Saha D, Rahaman A, Fu Z, Liu J, Calhoun V. A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connectivity 2024, 14: 130-140. PMID: 38308475, PMCID: PMC10954605, DOI: 10.1089/brain.2023.0040.Peer-Reviewed Original ResearchFunctional network connectivityFunctional connectivityPsychiatric problemsFunctional network connectivity matricesNetwork connectivityMultivariate patternsWhole-brain functional networksIntrinsic functional connectivityPattern of functional changesBrain functional connectivityIntrinsic functional relationshipLongitudinal changesAdolescent brainAge-related changesBrain networksStudy developmental changesScanning sessionBrain functionAssociated with longitudinal changesCognitive scoresDevelopmental changesBrain developmentFunctional changesCognitionLongitudinal change patterns
2023
Fusion of Multi-Modal Neuroimaging Data and Association With Cognitive Data
LoPresto M, Akhonda M, Calhoun V, Adali T. Fusion of Multi-Modal Neuroimaging Data and Association With Cognitive Data. 2023, 00: 1-5. DOI: 10.1109/icasspw59220.2023.10193147.Peer-Reviewed Original ResearchHopkins Verbal Learning TestNeuropsychological assessment batteryCognitive dataNeuroimaging modalitiesBrief Assessment of CognitionSchizophrenia composite scoreVerbal Learning TestAssessment of CognitionMultiple neuroimaging modalitiesBrief AssessmentCross-modal connectionsLearning TestAssessment batteryCross-modal relationshipsNeuroimaging dataBrain benefitsCognitive scoresComposite scoreCognitionData-driven analysisIndependent vector analysisSchizophreniaNeuropsychologyFusion frameworkScoresSymmetric 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