2024
Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study
Rychagov N, Del Re E, Zeng V, Oykhman E, Lizano P, McDowell J, Yassin W, Clementz B, Gershon E, Pearlson G, Sweeney J, Tamminga C, Keshavan M. Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study. Schizophrenia Research 2024, 271: 169-178. PMID: 39032429, PMCID: PMC11384321, DOI: 10.1016/j.schres.2024.07.009.Peer-Reviewed Original ResearchBipolar-Schizophrenia NetworkPsychotic disordersDSM-IVIntermediate Phenotypes studyGyrification changesSchizophrenia compared to controlsBipolar I disorderRight cingulate cortexSchizoaffective disorder probandsBipolar disorder probandsDisorders compared to controlsAge-related differencesSchizoaffective disorderCingulate cortexVerbal memoryBipolar disorderAge-related changesFalse discovery rate correctionSchizophreniaCortical gyrificationHypogyriaFrontal lobeGyrificationDisordersHealthy controlsEvidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis
Meyhoefer I, Sprenger A, Derad D, Grotegerd D, Leenings R, Leehr E, Breuer F, Surmann M, Rolfes K, Arolt V, Romer G, Lappe M, Rehder J, Koutsouleris N, Borgwardt S, Schultze-Lutter F, Meisenzahl E, Kircher T, Keedy S, Bishop J, Ivleva E, McDowell J, Reilly J, Hill S, Pearlson G, Tamminga C, Keshavan M, Gershon E, Clementz B, Sweeney J, Hahn T, Dannlowski U, Lencer R. Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis. Scientific Reports 2024, 14: 13859. PMID: 38879556, PMCID: PMC11180169, DOI: 10.1038/s41598-024-64487-6.Peer-Reviewed Original ResearchConceptsSmooth pursuit eye movementsPsychosis syndromePursuit eye movementsNon-psychotic bipolar disorderNon-psychotic affective disorderEye movementsSmooth pursuit dysfunctionMultivariate pattern analysisHealthy controlsPsychiatric sampleNeurobiological markersPsychosis probandsPsychotic syndromesAffective disordersPsychosis researchBipolar disorderPsychosis statusPsychosisSensorimotor functionSensorimotor measuresIndividual levelSensorimotor dysfunctionSensorimotorDisordersPattern analysisDouble 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 connectivity
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 classificationA Brainwide Risk Score for Psychiatric Disorder Evaluated in a Large Adolescent Population Reveals Increased Divergence Among Higher-Risk Groups Relative to Control Participants
Yan W, Pearlson G, Fu Z, Li X, Iraji A, Chen J, Sui J, Volkow N, Calhoun V. A Brainwide Risk Score for Psychiatric Disorder Evaluated in a Large Adolescent Population Reveals Increased Divergence Among Higher-Risk Groups Relative to Control Participants. Biological Psychiatry 2023, 95: 699-708. PMID: 37769983, PMCID: PMC10942727, DOI: 10.1016/j.biopsych.2023.09.017.Peer-Reviewed Original ResearchFunctional network connectivityHealthy control individualsPsychiatric disordersRisk scoreEarly psychosisPsychiatric riskControl individualsStudy participantsHigh-risk groupMajor depressive disorderHigh-risk patternsPsychiatric risk assessmentCognitive Development StudyUnaffected adolescentsAdolescent Brain Cognitive Development (ABCD) studyLarge adolescent populationDepressive disorderHigh riskPsychosis scoresBipolar disorderPotential biomarkersEarly screeningPsychiatric vulnerabilityAdolescent populationDisorders
2022
Multimodal data fusion of cortical-subcortical morphology and functional network connectivity in psychotic spectrum disorder
DeRamus T, Wu L, Qi S, Iraji A, Silva R, Du Y, Pearlson G, Mayer A, Bustillo J, Stromberg S, Calhoun V. Multimodal data fusion of cortical-subcortical morphology and functional network connectivity in psychotic spectrum disorder. NeuroImage Clinical 2022, 35: 103056. PMID: 35709557, PMCID: PMC9207350, DOI: 10.1016/j.nicl.2022.103056.Peer-Reviewed Original ResearchConceptsResting-state functional network connectivityFunctional network connectivityGray matterFractional anisotropyMultimodal canonical correlation analysisSchizoaffective disorderBipolar disorderJoint independent component analysisDiagnostic categoriesFunctional brain featuresWhite matter fractional anisotropyBrain featuresPsychotic spectrum disordersClinical indicatorsMultiple diagnostic categoriesFunctional alterationsSubcortical structuresDisordersP523. Comparison of Lifetime Psychosis and Mood Symptoms in Schizophrenia, Schizoaffective Disorder, and Bipolar Disorder With Psychotic Features
Church H, Khera I, Kern B, Pearlson G, Clementz B, McDowell J, Keshavan M, Tamminga C, Ivleva E, Gershon E, Keedy S. P523. Comparison of Lifetime Psychosis and Mood Symptoms in Schizophrenia, Schizoaffective Disorder, and Bipolar Disorder With Psychotic Features. Biological Psychiatry 2022, 91: s300. DOI: 10.1016/j.biopsych.2022.02.760.Peer-Reviewed Original Research
2020
O10.6. ANTERIOR VERSUS POSTERIOR HIPPOCAMPUS WITHIN PSYCHOSIS: A BSNIP STUDY
del Re E, Zeng V, Lutz O, Pearlson G, Sweeney J, Clementz B, Gershon E, Keedy S, Ivleva E, Tamminga C, Keshavan M. O10.6. ANTERIOR VERSUS POSTERIOR HIPPOCAMPUS WITHIN PSYCHOSIS: A BSNIP STUDY. Schizophrenia Bulletin 2020, 46: s26-s27. PMCID: PMC7233936, DOI: 10.1093/schbul/sbaa028.060.Peer-Reviewed Original ResearchDiagnostic groupsSum of anteriorAnterior portionGrouping of patientsMedial temporal lobe structuresTemporal lobe structuresBiotype 1Biotype 3T MRI dataBiotype 2Right subiculumHealthy controlsSubfield volumesFreeSurfer 6.0Whole hippocampusMorphometric findingsClinical ratingsHealthy populationHippocampusBipolar disorderAnatomical divisionsPosterior divisionSA disordersCognitive functionVolume decreaseAuditory 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
2018
S188. Emotional processing in Bipolar Disorder With and Without Psychosis: Findings From the Psychosis and Affective Research Domains and Intermediate Phenotypes Consortium
Trotti R, Parker D, Sabatinelli D, Tamminga C, Gershon E, Keedy S, Sweeney J, Keshavan M, Pearlson G, McDowell J, Clementz B. S188. Emotional processing in Bipolar Disorder With and Without Psychosis: Findings From the Psychosis and Affective Research Domains and Intermediate Phenotypes Consortium. Biological Psychiatry 2018, 83: s420. DOI: 10.1016/j.biopsych.2018.02.1080.Peer-Reviewed Original Research
2017
16. Investigation of the Auditory Steady State Response in Schizophrenia, Schizoaffective, Psychotic and Nonpsychotic Bipolar Disorders
Parker D, Kittle F, McDowell J, Buckley P, Keedy S, Gershon E, Sweeney J, Keshavan M, Pearlson G, Tamminga C, Clementz B. 16. Investigation of the Auditory Steady State Response in Schizophrenia, Schizoaffective, Psychotic and Nonpsychotic Bipolar Disorders. Schizophrenia Bulletin 2017, 43: s12-s13. PMCID: PMC5475461, DOI: 10.1093/schbul/sbx021.035.Peer-Reviewed Original ResearchSU5. Investigation of the Visual Steady-State Response in Schizophrenia, Schizoaffective, Psychotic, and Nonpsychotic Bipolar Disorders
Schneider Z, Parker D, Kittle F, McDowell J, Buckley P, Keedy S, Gershon E, Sweeney J, Keshavan M, Pearlson G, Tamminga C, Clementz B. SU5. Investigation of the Visual Steady-State Response in Schizophrenia, Schizoaffective, Psychotic, and Nonpsychotic Bipolar Disorders. Schizophrenia Bulletin 2017, 43: s162-s162. PMCID: PMC5476036, DOI: 10.1093/schbul/sbx024.004.Peer-Reviewed Original ResearchGenome-Wide Association Studies Of Smooth Pursuit Eye Movements Across Psychotic Disorders: Preliminary Findings From The B-Snip Sample
Lencer R, Mills L, Alliey-Rodriguez N, Reilly J, Sprenger A, McDowell J, Keshavan M, Pearlson G, McCarroll S, Tamminga C, Clementz B, Gershon E, Sweeney J, Bishop J. Genome-Wide Association Studies Of Smooth Pursuit Eye Movements Across Psychotic Disorders: Preliminary Findings From The B-Snip Sample. European Neuropsychopharmacology 2017, 27: s489. DOI: 10.1016/j.euroneuro.2016.09.580.Peer-Reviewed Original ResearchPursuit maintenancePsychotic disordersSmooth pursuit eye movementsSensorimotor processingEye movement dysfunctionSignificant neurological disordersSevere mental illnessRecent substance abusePursuit eye movementsYears of ageFunctional brain systemsPursuit deficitSensorimotor deficitsPursuit initiationBipolar-Schizophrenia NetworkPsychosis probandsEye accelerationMovement dysfunctionInterhemispheric connectionsIntermediate Phenotypes (B-SNIP) studyNeurophysiological consequencesPrimary analysisBipolar disorderMental illnessNeurological disorders
2016
Subcortical volumetric abnormalities in bipolar disorder
Hibar DP, Westlye LT, van Erp TG, Rasmussen J, Leonardo CD, Faskowitz J, Haukvik UK, Hartberg CB, Doan NT, Agartz I, Dale AM, Gruber O, Krämer B, Trost S, Liberg B, Abé C, Ekman CJ, Ingvar M, Landén M, Fears SC, Freimer NB, Bearden CE, Sprooten E, Glahn D, Pearlson G, Emsell L, Kenney J, Scanlon C, McDonald C, Cannon D, Almeida J, Versace A, Caseras X, Lawrence N, Phillips M, Dima D, Delvecchio G, Frangou S, Satterthwaite T, Wolf D, Houenou J, Henry C, Malt U, Bøen E, Elvsåshagen T, Young A, Lloyd A, Goodwin G, Mackay C, Bourne C, Bilderbeck A, Abramovic L, Boks M, van Haren N, Ophoff R, Kahn R, Bauer M, Pfennig A, Alda M, Hajek T, Mwangi B, Soares J, Nickson T, Dimitrova R, Sussmann J, Hagenaars S, Whalley H, McIntosh A, Thompson P, Andreassen O. Subcortical volumetric abnormalities in bipolar disorder. Molecular Psychiatry 2016, 21: 1710-1716. PMID: 26857596, PMCID: PMC5116479, DOI: 10.1038/mp.2015.227.Peer-Reviewed Original ResearchConceptsLateral ventricleBipolar disorderBDII patientsBD patientsIntracranial volumeLarger thalamic volumesSubcortical volumetric abnormalitiesLarger lateral ventriclesSignificant differencesSubcortical brain measuresCase-control differencesDevelopment of biomarkersMean hippocampusVolumetric abnormalitiesIllness onsetThalamic volumeBDI patientsGlobus pallidusSmaller hippocampiClinical subtypesDisease progressionHealthy controlsBrain changesNucleus accumbensPatients
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
2013
Resting State Electroencephalogram Oscillatory Abnormalities in Schizophrenia and Psychotic Bipolar Patients and Their Relatives from the Bipolar and Schizophrenia Network on Intermediate Phenotypes Study
Narayanan B, O’Neil K, Berwise C, Stevens MC, Calhoun VD, Clementz BA, Tamminga CA, Sweeney JA, Keshavan MS, Pearlson GD. Resting State Electroencephalogram Oscillatory Abnormalities in Schizophrenia and Psychotic Bipolar Patients and Their Relatives from the Bipolar and Schizophrenia Network on Intermediate Phenotypes Study. Biological Psychiatry 2013, 76: 456-465. PMID: 24439302, PMCID: PMC5045030, DOI: 10.1016/j.biopsych.2013.12.008.Peer-Reviewed Original ResearchConceptsFirst-degree relativesSlow beta activityFast alpha activitySZ probandsAlpha activityHealthy control subjectsBeta activityRelative risk estimatesFrontal delta activityEEG spectral activityModerate relative riskPsychotic bipolar patientsLow-frequency activityPsychotic bipolar probandsGroup independent component analysisControl subjectsRelative riskPost-hoc pair-wise comparisonsBipolar patientsGenetic predispositionIntermediate Phenotypes (B-SNIP) studyOscillatory abnormalitiesAnalysis of covarianceUnique endophenotypesBipolar disorder
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
2000
MRI findings differentiate between late‐onset schizophrenia and late‐life mood disorder
Rabins P, Aylward E, Holroyd S, Pearlson G. MRI findings differentiate between late‐onset schizophrenia and late‐life mood disorder. International Journal Of Geriatric Psychiatry 2000, 15: 954-960. PMID: 11044878, DOI: 10.1002/1099-1166(200010)15:10<954::aid-gps224>3.0.co;2-o.Peer-Reviewed Original ResearchConceptsLate-onset schizophreniaLate-life bipolar disorderBilateral cortical atrophyLarger third ventriclesRight temporal hornLate-life mood disordersLate-life depressionDegree of atrophyNormal control groupGender-matched controlsFunctional imaging studiesSulcal enlargementCortical atrophyMRI findingsTemporal hornFunctional abnormalitiesSylvian fissureMood disordersThird ventricleOutpatient servicesMRI scansPatientsAffective disordersControl groupBipolar disorder
1999
Structural and functional brain changes in bipolar disorder: a selective review
Pearlson G. Structural and functional brain changes in bipolar disorder: a selective review. Schizophrenia Research 1999, 39: 133-140. PMID: 10507524, DOI: 10.1016/s0920-9964(99)00112-7.Peer-Reviewed Original Research