2024
Inter-Modality Source Coupling: A Fully-Automated Whole-Brain Data-Driven Structure-Function Fingerprint Shows Replicable Links to Reading in a Large-Scale (N8K) Analysis
Kotoski A, Liu J, Morris R, Calhoun V. Inter-Modality Source Coupling: A Fully-Automated Whole-Brain Data-Driven Structure-Function Fingerprint Shows Replicable Links to Reading in a Large-Scale (N8K) Analysis. IEEE Transactions On Biomedical Engineering 2024, 71: 3383-3389. PMID: 38968021, DOI: 10.1109/tbme.2024.3423703.Peer-Reviewed Original ResearchReading abilityBrain structuresSchool-aged childrenResting-stateStructural magnetic resonance imagingInferior frontal areasFunctional brain changesInferior parietal lobuleHigher reading abilityFunctional connectivity patternsLow reading abilityLingual gyrusNeural basisParietal lobuleReading developmentBrain changesCognitive processesReplication linksRs-fMRICortical regionsReading scoresBrain functionCognitive growthFrontal areasConnectivity patternsDouble Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses
Soleimani N, Pearlson G, Iraji A, Calhoun V. Double Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses. 2024, 00: 1-4. DOI: 10.1109/isbi56570.2024.10635116.Peer-Reviewed Original ResearchAutism spectrum disorderMental illnessBipolar disorderMental disordersManifestations of mental illnessAssociated with mental illnessFunctional network connectivityFunctional network connectivity patternsNetwork connectivity patternsDisorder-specificDepressive disorderNeural underpinningsSpectrum disorderPsychological disordersNeuroimaging techniquesConnectivity patternsDisordersSchizophreniaHealthy controlsIllnessBrainFunctional changesMDDAutismNetwork connectivityCross‐cohort replicable resting‐state functional connectivity in predicting symptoms and cognition of schizophrenia
Zhao C, Jiang R, Bustillo J, Kochunov P, Turner J, Liang C, Fu Z, Zhang D, Qi S, Calhoun V. Cross‐cohort replicable resting‐state functional connectivity in predicting symptoms and cognition of schizophrenia. Human Brain Mapping 2024, 45: e26694. PMID: 38727014, PMCID: PMC11083889, DOI: 10.1002/hbm.26694.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingNegative symptomsFunctional connectivityCognitive impairmentPrediction of negative symptomsResting-state functional connectivityAssociated with reduced cognitive functionDebilitating mental illnessHealthy controlsPredicting functional connectivityEarly adulthood onsetPositive symptomsNeural underpinningsSchizophreniaCognitive functionSensorimotor networkPredicting symptomsMental illnessConnectivity patternsClinical interventionsMagnetic resonance imagingAdulthood onsetSymptomsImpairmentResonance imagingThe overlap across psychotic disorders: A functional network connectivity analysis
Dini H, Bruni L, Ramsøy T, Calhoun V, Sendi M. The overlap across psychotic disorders: A functional network connectivity analysis. International Journal Of Psychophysiology 2024, 201: 112354. PMID: 38670348, PMCID: PMC11163820, DOI: 10.1016/j.ijpsycho.2024.112354.Peer-Reviewed Original ResearchConceptsFunctional network connectivitySchizoaffective disorderPsychotic disordersHealthy controlsBipolar-Schizophrenia NetworkFunctional network connectivity analysisStatic functional network connectivityResting-state fMRINetwork connectivity analysisPatterns of activityPsychiatric disordersDisorder groupSchizophreniaConnectivity analysisHC groupBipolarConnectivity patternsDisordersPatient groupSymptom scoresGroup of patientsPANSSSchizoaffectiveFMRINetwork connectivityRevealing complex functional topology brain network correspondences between humans and marmosets
Li Q, Calhoun V, Iraji A. Revealing complex functional topology brain network correspondences between humans and marmosets. Neuroscience Letters 2024, 822: 137624. PMID: 38218321, DOI: 10.1016/j.neulet.2024.137624.Peer-Reviewed Original ResearchConceptsWhole-brain functional connectivityFunctional brain connectivityDorsal attention networkFunctional connectivity patternsBrain connectivityMarmoset monkey brainBrain networksTopological characteristicsMode networkFunctional connectivityCognitive functionVisual networkNon-human primatesMonkey brainAttention networkConnectivity patternsNeural connectionsBrainFunctional correspondenceConnectome
2023
Transdiagnostic indicators predict developmental changes in cognitive control resting-state networks.
Picci G, Petro N, Son J, Agcaoglu O, Eastman J, Wang Y, Stephen J, Calhoun V, Taylor B, Wilson T. Transdiagnostic indicators predict developmental changes in cognitive control resting-state networks. Development And Psychopathology 2023, 36: 1-11. PMID: 37615120, PMCID: PMC11140239, DOI: 10.1017/s0954579423001013.Peer-Reviewed Original ResearchResting-state networksExposure to childhood traumaLatent growth curve analysisResting-state fMRI studiesResting-state functional networksWithin-network connectivityFunctional networksMental health symptomsGrowth curve analysisLevels of dysregulationCognitive controlFMRI studyChildhood traumaNeurobiological processesTraumatic exposureDevelopmental trajectoriesHealth symptomsClinical populationsLongitudinal designPredictive utilityPsychopathologyDevelopmental changesYouth riskConnectivity patternsGreater levels