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, 1-31. 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 MRI
2023
Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study
Zhi D, Jiang R, Pearlson G, Fu Z, Qi S, Yan W, Feng A, Xu M, Calhoun V, Sui J. Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study. Biological Psychiatry 2023, 95: 828-838. PMID: 38151182, PMCID: PMC11006588, DOI: 10.1016/j.biopsych.2023.12.019.Peer-Reviewed Original ResearchFunctional network connectivityCognitive abilitiesABCD studyMental healthLongitudinal predictionBehavioral developmentSleep problemsBrain functional network connectivityHigher cognitive abilitiesDefault mode networkChildren's behavioral developmentUnique protective factorsBrain functional connectivityCognitive controlTriple interactionFamily conflictMode networkMediation analysisFunctional connectivityInfluence behaviorFunctional networksProtective factorsSchool environmentChildhood developmentEnvironmental exposuresAltered 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 activity
2021
Response Inhibition Circuit Dysregulation in Substance Use Disorders Identified With Event-Related Potential-Derived Functional Connectivity
Steele V, Tootell A, Butler D, Fix S, Stevens M, Pearlson G, Bernat E. Response Inhibition Circuit Dysregulation in Substance Use Disorders Identified With Event-Related Potential-Derived Functional Connectivity. Biological Psychiatry 2021, 89: s350. DOI: 10.1016/j.biopsych.2021.02.873.Peer-Reviewed Original ResearchSubstance use disordersCircuit dysregulationUse disordersFunctional connectivityEvent-related potentials
2019
Increased ventromedial prefrontal cortex activity and connectivity predict poor sertraline treatment outcome in late‐life depression
Emam H, Steffens DC, Pearlson G, Wang L. Increased ventromedial prefrontal cortex activity and connectivity predict poor sertraline treatment outcome in late‐life depression. International Journal Of Geriatric Psychiatry 2019, 34: 730-737. PMID: 30761621, PMCID: PMC6480406, DOI: 10.1002/gps.5079.Peer-Reviewed Original ResearchConceptsLate-life depressionSelective serotonin reuptake inhibitorsNonresponder groupFunctional connectivitySSRI responseMADRS scoresResting-state functional magnetic resonance imaging (fMRI) scansMontgomery-Åsberg Depression Rating ScaleMajor depressive disorder patientsPrefrontal cortexMagnetic resonance imaging (MRI) scansFunctional magnetic resonance imaging (fMRI) scansSubgenual cingulate areaSerotonin reuptake inhibitorsDepressive disorder patientsAcute treatment responseResonance imaging scansDepression Rating ScaleLower functional connectivityHigher functional connectivityFalse discovery rate correctionResting-state activityDefault mode networkROI connectivityAntidepressant treatment
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
2014
Multivariate analysis reveals genetic associations of the resting default mode network in psychotic bipolar disorder and schizophrenia
Meda SA, Ruaño G, Windemuth A, O’Neil K, Berwise C, Dunn SM, Boccaccio LE, Narayanan B, Kocherla M, Sprooten E, Keshavan MS, Tamminga CA, Sweeney JA, Clementz BA, Calhoun VD, Pearlson GD. Multivariate analysis reveals genetic associations of the resting default mode network in psychotic bipolar disorder and schizophrenia. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: e2066-e2075. PMID: 24778245, PMCID: PMC4024891, DOI: 10.1073/pnas.1313093111.Peer-Reviewed Original ResearchConceptsDefault mode networkPsychotic bipolar disorderUnaffected first-degree relativesFirst-degree relativesSZ probandsResting-state functional MRI scansBipolar disorderMode networkFunctional MRI scansLong-term potentiationBrain's default mode networkGlobal enrichment analysisSubset of controlsPatient groupHealthy controlsDMN modulationDrug treatmentImmune responsePsychiatric disordersStudy subjectsMRI scansDMN connectivityMultivariate analysisFunctional connectivitySchizophrenia
2007
A Maximal-Correlation Approach Using ICA for Testing Functional Network Connectivity Applied to Schizophrenia
Jafri M, Pearlson G, Calhoun V. A Maximal-Correlation Approach Using ICA for Testing Functional Network Connectivity Applied to Schizophrenia. 2007, 468-471. DOI: 10.1109/isbi.2007.356890.Peer-Reviewed Original Research
1999
New insights on the neuroanatomy of schizophrenia
Pearlson G. New insights on the neuroanatomy of schizophrenia. Current Psychiatry Reports 1999, 1: 41-45. PMID: 11122904, DOI: 10.1007/s11920-999-0009-x.Peer-Reviewed Original Research