2024
A spatially constrained independent component analysis jointly informed by structural and functional network connectivity
Fouladivanda M, Iraji A, Wu L, van Erp T, Belger A, Hawamdeh F, Pearlson G, Calhoun V. A spatially constrained independent component analysis jointly informed by structural and functional network connectivity. Network Neuroscience 2024, 1-76. DOI: 10.1162/netn_a_00398.Peer-Reviewed Original ResearchIntrinsic connectivity networksFunctional brain connectivityBrain connectivityStructural connectivityFunctional connectivityIndependent component analysisResting-state functional MRIAnalysis of group differencesBrain functional organizationFunctional network connectivityStructural-functional connectivityNeuroimaging studiesFunctional MRIWhole-brain tractographyGroup differencesRs-fMRIBrain disordersFunctional couplingSchizophreniaStatistical analysis of group differencesSubject levelFunctional organizationConnectivity networksBrainDiffusion-weighted MRICerebral Blood Flow Changes and Neuroticism in Late-Life Depression
Anderson T, Steffens D, Wang L, Pearlson G. Cerebral Blood Flow Changes and Neuroticism in Late-Life Depression. American Journal Of Geriatric Psychiatry 2024, 32: s49-s50. DOI: 10.1016/j.jagp.2024.01.121.Peer-Reviewed Original ResearchMontgomery Asberg Depression Rating ScaleLate-life depressionAsberg Depression Rating ScaleLeft putamenFrontal poleLow neuroticismGroup differencesDecreased CBFLLD subjectsDepression severityDepression groupLLD groupCerebral blood flowNever-depressed control subjectsNever-depressed healthy controlsNEO Personality InventoryNever-depressed groupDepression Rating ScaleNeuroticism personality traitFrontal lobe structuresGroup effectBrain morphological changesT1-weighted MPRAGE imagesHealthy controlsSignificant group effect
2023
Identifying psychosis subtypes use individualized covariance structural differential networks and multi-site clustering
Ji Y, Pearlson G, Bustillo J, Kochunov P, Turner J, Jiang R, Shao W, Zhang X, Fu Z, Li K, Liu Z, Xu X, Zhang D, Qi S, Calhoun V. Identifying psychosis subtypes use individualized covariance structural differential networks and multi-site clustering. Schizophrenia Research 2023, 264: 130-139. PMID: 38128344, DOI: 10.1016/j.schres.2023.12.013.Peer-Reviewed Original ResearchPsychosis subtypesSchizoaffective disorderBipolar disorderClinical phenotypeFirst-degree relativesTemporal-occipital cortexAmygdala-hippocampusClinical symptomsNeuroimaging featuresBipolar-Schizophrenia NetworkBrain alterationsHealthy controlsIntermediate Phenotypes (B-SNIP) consortiumOccipital cortexDecreased connectivitySubtypesStructural covarianceFractional amplitudeSubtype IILow-frequency fluctuationsNeurobiological heterogeneityGreater predispositionPsychosis spectrumGroup differencesDiagnostic classificationIntrinsic neural timescales in autism spectrum disorder and schizophrenia. A replication and direct comparison study
Uscătescu L, Kronbichler M, Said-Yürekli S, Kronbichler L, Calhoun V, Corbera S, Bell M, Pelphrey K, Pearlson G, Assaf M. Intrinsic neural timescales in autism spectrum disorder and schizophrenia. A replication and direct comparison study. Schizophrenia 2023, 9: 18. PMID: 36997542, PMCID: PMC10063601, DOI: 10.1038/s41537-023-00344-1.Peer-Reviewed Original ResearchIntrinsic neural timescalesPatient groupBrain areasLeft lateral occipital gyrusRight post-central gyrusAutism spectrum disorderNeural timescalesPost-central gyrusLateral occipital gyrusDirect comparison studiesSpectrum disorderOccipital gyrusSymptom severitySchizophreniaGroup differencesGyrusDisordersPresent studyGroupSeverityEvaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification
Rokham H, Falakshahi H, Fu Z, Pearlson G, Calhoun V. Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification. Human Brain Mapping 2023, 44: 3180-3195. PMID: 36919656, PMCID: PMC10171526, DOI: 10.1002/hbm.26273.Peer-Reviewed Original ResearchConceptsDynamic functional network connectivityFunctional network connectivityDSM-IVFMRI-based measuresResting-state fMRI dataBiomarker-based approachPsychosis disordersClinical courseBipolar-Schizophrenia NetworkClinical evaluationSymptomatic measuresHealthy controlsPsychotic illnessHealthy individualsNeurological observationsMental disordersReliability of diagnosisStatistical group differencesMental healthNeuroimaging techniquesStatistical ManualDiagnostic problemsGroup differencesIntermediate phenotypesDisorders
2020
Auditory paired-stimuli responses across the psychosis and bipolar spectrum and their relationship to clinical features
Parker D, Trotti R, McDowell J, Keedy S, Gershon E, Ivleva E, Pearlson G, Keshavan M, Tamminga C, Sweeney J, Clementz B. Auditory paired-stimuli responses across the psychosis and bipolar spectrum and their relationship to clinical features. Biomarkers In Neuropsychiatry 2020, 3: 100014. PMID: 36644018, PMCID: PMC9837793, DOI: 10.1016/j.bionps.2020.100014.Peer-Reviewed Original ResearchSchizoaffective disorderGroup differencesBipolar disorderAuditory paired-stimulus paradigmPaired-stimulus paradigmNeural responsesIdentification of biomarkersB-SNIPClinical featuresSignificant group differencesPsychosis subjectsBipolar-Schizophrenia NetworkPsychosis casesHealthy subjectsPreparatory periodPsychosis syndromeFrequency principal components analysisMania symptomsP50 responsePositive symptomsClinical phenotypeAffective syndromeBipolar spectrumPsychosisPutative biomarkers
2010
Aberrant processing of deviant stimuli in schizophrenia revealed by fusion of fMRI and EEG data
Calhoun V, Wu L, Kiehl K, Eichele T, Pearlson G. Aberrant processing of deviant stimuli in schizophrenia revealed by fusion of fMRI and EEG data. Acta Neuropsychiatrica 2010, 22: 127-138. PMID: 21331320, PMCID: PMC3038634, DOI: 10.1111/j.1601-5215.2010.00467.x.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingChronic schizophrenia patientsSchizophrenia patientsJoint independent component analysisHealthy control subjectsFronto-temporal regionsMagnetic resonance imagingLatency abnormalitiesDeviant stimuliControl subjectsHealthy controlsHemodynamic differencesPatientsBipolar disorderAlzheimer's diseaseResonance imagingAuditory oddball stimuliDiseaseSchizophreniaGroup differencesOddball stimuliN2 responseElectrical changesAberrant processingN2 amplitude