2023
Altered Resting-State Activity and Connectivity in Late-Life Depression with Suicidal Ideation
Wang L, Manning K, Pearlson G, Steffens D. Altered Resting-State Activity and Connectivity in Late-Life Depression with Suicidal Ideation. American Journal Of Geriatric Psychiatry 2023, 31: e22-e23. DOI: 10.1016/j.jagp.2023.02.031.Peer-Reviewed Original ResearchDefault mode networkVentrolateral prefrontal cortexLate-life depressionFunctional connectivityPrefrontal cortexOlder adultsOlder depressed adultsBrain activityDepressed adultsSuicidal ideationGreater brain activityVisual cortexWeaker functional connectivityStronger functional connectivityResting-state fMRI dataResting-state activitySuicidal behaviorWhole-brain voxelwiseNon-SI groupROI functional connectivityDepression severitySI groupCerebellar cortexCerebellar functional connectivityResting activityEvaluation 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
2015
Identifying Brain Dynamic Network States VIA GIG-ICA: Application to Schizophrenia, Bipolar and Schizoaffective Disorders
Du Y, Pearlson G, He H, Wu L, Chen J, Calhoun V. Identifying Brain Dynamic Network States VIA GIG-ICA: Application to Schizophrenia, Bipolar and Schizoaffective Disorders. 2015, 478-481. DOI: 10.1109/isbi.2015.7163915.Peer-Reviewed Original ResearchFunctional connectivity statesSchizoaffective disorderBipolar disorderSAD patientsDynamic functional networksFunctional networksConnectivity statesResting-state fMRI dataBP patientsHealthy controlsPatientsSZ patientsFunctional connectivitySimilar symptomsFMRI dataDisordersSchizophreniaMental diseasesSignificant differences