2024
Evidence 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 analysis
2023
Brain Networks and Adolescent Alcohol Use
Yip S, Lichenstein S, Liang Q, Chaarani B, Dager A, Pearlson G, Banaschewski T, Bokde A, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot J, Martinot M, Artiges E, Nees F, Orfanos D, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner J, Smolka M, Vaidya N, Walter H, Whelan R, Schumann G, Garavan H. Brain Networks and Adolescent Alcohol Use. JAMA Psychiatry 2023, 80: 1131-1141. PMID: 37647053, PMCID: PMC10469292, DOI: 10.1001/jamapsychiatry.2023.2949.Peer-Reviewed Original ResearchConceptsAlcohol Use Disorders Identification TestAlcohol use riskAlcohol misuseUse riskAlcohol use disorderMale adolescentsDisorders Identification TestSingle-site studyIntervention effortsWhole-brain patternsMean ageAlcohol use dataLeading causeMagnetic resonance imaging dataMAIN OUTCOMEReward-related processesHigh riskSeparate cohortUse disordersAlcohol consumptionCurrent severityAdolescent neurodevelopmentAlcohol use behaviorsAlcohol useAUDIT scoresAge-related, multivariate associations between white matter microstructure and behavioral performance in three executive function domains
Anderson J, Calhoun V, Pearlson G, Hawkins K, Stevens M. Age-related, multivariate associations between white matter microstructure and behavioral performance in three executive function domains. Developmental Cognitive Neuroscience 2023, 64: 101318. PMID: 37875033, PMCID: PMC10618425, DOI: 10.1016/j.dcn.2023.101318.Peer-Reviewed Original ResearchConceptsExecutive function domainsResponse inhibitionWhite matter microstructureLower response inhibitionStructure-cognition relationshipsEF abilitiesBehavioral performanceCognitive imbalanceNeurocognitive testsFunction domainTest performanceYoung adulthoodFractional anisotropyBrain changesAge 12Young adultsSS performanceWhite matter FA valuesGreater relianceWhite matter changesWhite matter microstructural differencesSubjects ages 12White matter skeletonIndependent componentsMultivariate associations
2021
An opportunity for primary prevention research in psychotic disorders
Gershon ES, Lee SH, Zhou X, Sweeney JA, Tamminga C, Pearlson GA, Clementz BA, Keshavan MS, Alliey-Rodriguez N, Hudgens-Haney M, Keedy SK, Glahn DC, Asif H, Lencer R, Hill SK. An opportunity for primary prevention research in psychotic disorders. Schizophrenia Research 2021, 243: 433-439. PMID: 34315649, PMCID: PMC8784565, DOI: 10.1016/j.schres.2021.07.001.Peer-Reviewed Original Research
2019
Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort
Meda SA, Narayanan B, Chorlian D, Meyers JL, Gelernter J, Hesselbrock V, Bauer L, Calhoun VD, Porjesz B, Pearlson G. Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. Alcohol Clinical And Experimental Research 2019, 43: 1462-1477. PMID: 31009096, DOI: 10.1111/acer.14063.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAlcoholismCase-Control StudiesCohort StudiesElectroencephalographyFemaleGenetic Association StudiesGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedMultigene FamilyNeuronsPhenotypePolymorphism, Single NucleotideSignal TransductionSubstance-Related DisordersWhite PeopleYoung AdultConceptsGenetic clustersSingle nucleotide polymorphism dataSignificant genotype-phenotype associationsNucleotide polymorphism dataLipid/cholesterol metabolismLinkage-based analysisGenotype-phenotype relationshipsGenotype-phenotype associationsGene clusterCell signalingPolymorphism dataMolecular mechanismsAlcoholism datasetGenomewide associationTop hitsGenetic componentNeuronal signalingGeneticsSignalingBiological componentsRelationship pairsCholesterol metabolismNeurogenesisSNP componentParallel independent component analysis
2016
Polygenic risk of Alzheimer disease is associated with early- and late-life processes
Mormino EC, Sperling RA, Holmes AJ, Buckner RL, De Jager PL, Smoller JW, Sabuncu MR, Weiner M, Aisen P, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Liu E, Green R, Montine T, Petersen R, Aisen P, Gamst A, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Beckett L, Harvey D, Gamst A, Donohue M, Kornak J, Jack C, Dale A, Bernstein M, Felmlee J, Fox N, Thompson P, Schuff N, Alexander G, DeCarli C, Jagust W, Bandy D, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Morris J, Cairns N, Taylor-Reinwald L, Trojanowki J, Shaw L, Lee V, Korecka M, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Potkin S, Shen L, Kachaturian Z, Frank R, Snyder P, Molchan S, Kaye J, Quinn J, Lind B, Dolen S, Schneider L, Pawluczyk S, Spann B, Brewer J, Vanderswag H, Heidebrink J, Lord J, Petersen R, Johnson K, Doody R, Villanueva-Meyer J, Chowdhury M, Stern Y, Honig L, Bell K, Morris J, Ances B, Carroll M, Leon S, Mintun M, Schneider S, Marson D, Griffith R, Clark D, Grossman H, Mitsis E, Romirowsky A, deToledo-Morrell L, Shah R, Duara R, Varon D, Roberts P, Albert M, Onyike C, Kielb S, Rusinek H, de Leon M, Glodzik L, De Santi S, Doraiswamy P, Petrella J, Coleman R, Arnold S, Karlawish J, Wolk D, Smith C, Jicha G, Hardy P, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Mulnard R, Thai G, Mc-Adams-Ortiz C, Womack K, Mathews D, Quiceno M, Diaz-Arrastia R, King R, Weiner M, Martin-Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Swerdlow R, Apostolova L, Lu P, Bartzokis G, Silverman D, Graff-Radford N, Parfitt F, Johnson H, Farlow M, Hake A, Matthews B, Herring S, van Dyck C, Carson R, MacAvoy M, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, Robin Hsiung G, Feldman H, Mudge B, Assaly M, Kertesz A, Rogers J, Trost D, Bernick C, Munic D, Kerwin D, Mesulam M, Lipowski K, Wu C, Johnson N, Sadowsky C, Martinez W, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Frey M, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Bwayo S, Lerner A, Hudson L, Ogrocki P, Fletcher E, Carmichael O, Olichney J, DeCarli C, Kittur S, Borrie M, Lee T, Bartha D, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Saykin A, Santulli R, Schwartz E, Sink K, Williamson J, Garg P, Watkins F, Ott B, Querfurth H, Tremont G, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Mintzer J, Longmire C, Spicer K, Finger E, Rachinsky I, Rogers J, Kertesz A, Drost D, Pomara N, Hernando R, Sarrael A, Schultz S, Boles Ponto L, Shim H, Smith K, Relkin N, Chaing G, Raudin L, Smith A, Fargher K, Raj B. Polygenic risk of Alzheimer disease is associated with early- and late-life processes. Neurology 2016, 87: 481-488. PMID: 27385740, PMCID: PMC4970660, DOI: 10.1212/wnl.0000000000002922.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAlzheimer DiseaseAmyloid beta-PeptidesAniline CompoundsAtrophyBiomarkersCognition DisordersCohort StudiesEarly DiagnosisEthylene GlycolsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHippocampusHumansMaleMemory DisordersMultifactorial InheritancePolymorphism, Single NucleotidePositron-Emission TomographyYoung AdultConceptsHigher polygenic risk scorePolygenic risk scoresHippocampus volumeRisk scoreLarge observational cohort studyCommon genetic risk lociSmaller hippocampus volumesΒ-amyloid burdenObservational cohort studyGenetic riskElevated polygenic risk scoresAlzheimer's disease markersCSF β-amyloidLongitudinal cognitive declineHealthy young participantsCohort studyClinical progressionClinical symptomsAD dementiaAD markersSmaller hippocampiFlorbetapir PETAggregate genetic riskΒ-amyloidGenome-wide association studies
2012
Association of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans
Bakken TE, Roddey JC, Djurovic S, Akshoomoff N, Amaral DG, Bloss CS, Casey BJ, Chang L, Ernst TM, Gruen JR, Jernigan TL, Kaufmann WE, Kenet T, Kennedy DN, Kuperman JM, Murray SS, Sowell ER, Rimol LM, Mattingsdal M, Melle I, Agartz I, Andreassen OA, Schork NJ, Dale AM, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Liu E, Montine T, Gamst A, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Harvey D, Kornak J, Dale A, Bernstein M, Felmlee J, Fox N, Thompson P, Schuff N, Alexander G, DeCarli C, Bandy D, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Cairns N, Taylor-Reinwald L, Trojanowki J, Shaw L, Lee V, Korecka M, Crawford K, Neu S, Foroud T, Potkin S, Shen L, Kachaturian Z, Frank R, Snyder P, Molchan S, Kaye J, Quinn J, Lind B, Dolen S, Schneider L, Pawluczyk S, Spann B, Brewer J, Vanderswag H, Heidebrink J, Lord J, Johnson K, Doody R, Villanueva-Meyer J, Chowdhury M, Stern Y, Honig L, Bell K, Morris J, Ances B, Carroll M, Leon S, Mintun M, Schneider S, Marson D, Griffith R, Clark D, Grossman H, Mitsis E, Romirowsky A, deToledo-Morrell L, Shah R, Duara R, Varon D, Roberts P, Albert M, Onyike C, Kielb S, Rusinek H, de Leon M, Glodzik L, De Santi S, Doraiswamy P, Petrella J, Coleman R, Arnold S, Karlawish J, Wolk D, Smith C, Jicha G, Hardy P, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Mulnard R, Thai G, Mc-Adams-Ortiz C, Womack K, Mathews D, Quiceno M, Diaz-Arrastia R, King R, Weiner M, Martin-Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Swerdlow R, Apostolova L, Lu P, Bartzokis G, Silverman D, Graff-Radford N, Parfitt F, Johnson H, Farlow M, Hake A, Matthews B, Herring S, van Dyck C, Carson R, MacAvoy M, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, Ging-Yuek, Hsiung R, Feldman H, Mudge B, Assaly M, Kertesz A, Rogers J, Trost D, Bernick C, Munic D, Kerwin D, Mesulam M, Lipowski K, Wu C, Johnson N, Sadowsky C, Martinez W, Villena T, Turner R, Johnson K, Reynolds B, Sperling R, Johnson K, Marshall G, Frey M, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Bwayo S, Lerner A, Hudson L, Ogrocki P, Fletcher E, Carmichael O, Olichney J, Kittur S, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, Fleisher A, Reeder S, Bates V, Capote H, Rainka M, Scharre D, Kataki M, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Santulli R, Schwartz E, Sink K, Williamson J, Garg P, Watkins F, Ott B, Querfurth H, Tremont G, Salloway S, Malloy P, Correia S, Rosen H, Miller B, Mintzer J, Longmire C, Spicer K, Finger E, Rachinsky I, Drost D, Jernigan T, McCabe C, Grant E, Ernst T, Kuperman J, Chung Y, Murray S, Bloss C, Darst B, Pritchett L, Saito A, Amaral D, DiNino M, Eyngorina B, Sowell E, Houston S, Soderberg L, Kaufmann W, van Zijl P, Rizzo-Busack H, Javid M, Mehta N, Ruberry E, Powers A, Rosen B, Gebhard N, Manigan H, Frazier J, Kennedy D, Yakutis L, Hill M, Gruen J, Bosson-Heenan J, Carlson H. Association of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans. Proceedings Of The National Academy Of Sciences Of The United States Of America 2012, 109: 3985-3990. PMID: 22343285, PMCID: PMC3309762, DOI: 10.1073/pnas.1105829109.Peer-Reviewed Original ResearchConceptsGenome-wide significant associationWide association studyCommon genetic variationCommon genetic variantsGenes genomeGenomic regionsProportional surface areasAssociated SNPsGenetic variationGenetic mechanismsAssociation studiesStrong linkage disequilibriumLinkage disequilibriumGenetic variantsSNPsNormal cortical architectureEnvironmental factorsRemainder of cortexCortical surface areaVisual cortexTwo- toGenomeHomologUTRGenes
2001
Regional cortical white matter reductions in velocardiofacial syndrome: a volumetric MRI analysis
Kates W, Burnette C, Jabs E, Rutberg J, Murphy A, Grados M, Geraghty M, Kaufmann W, Pearlson G. Regional cortical white matter reductions in velocardiofacial syndrome: a volumetric MRI analysis. Biological Psychiatry 2001, 49: 677-684. PMID: 11313035, DOI: 10.1016/s0006-3223(00)01002-7.Peer-Reviewed Original ResearchConceptsWhite matter reductionLobar brain regionsVelocardiofacial syndromeWhite matterBrain regionsVolumetric MRI analysisWhite matter anomaliesWhite matter volumeMatter reductionCerebral lobesAxonal integrityPsychiatric disordersCardiac defectsMatter volumeSyndromeBrain tissueGray matterLobar volumesCSF compartmentMRI analysisBrain developmentCraniofacial anomaliesUnaffected childrenNeuropsychiatric phenotypesCoronal images
1997
Medial and superior temporal gyral volumes and cerebral asymmetry in schizophrenia versus bipolar disorder
Pearlson G, Barta P, Powers R, Menon R, Richards S, Aylward E, Federman E, Chase G, Petty R, Tien A. Medial and superior temporal gyral volumes and cerebral asymmetry in schizophrenia versus bipolar disorder. Biological Psychiatry 1997, 41: 1-14. PMID: 8988790, DOI: 10.1016/s0006-3223(96)00373-3.Peer-Reviewed Original ResearchConceptsSuperior temporal gyrusAnterior superior temporal gyrusBipolar disorderSchizophrenic patientsSuperior temporal gyral volumeMagnetic resonance imaging studyTemporal lobe changesMedial temporal structuresRight anterior superior temporal gyrusResonance imaging studyGlobal brain measuresPosterior superior temporal gyrusGyral volumeHealthy controlsMRI measuresTemporal lobeBipolar patientsBipolar subjectsNormal controlsImaging studiesTemporal gyrusPatientsSchizophreniaBilateral volumesBrain measures
1996
Eye Movements and Psychopathology in Schizophrenia and Bipolar Disorder
TIEN A, ROSS D, PEARLSON G, STRAUSS M. Eye Movements and Psychopathology in Schizophrenia and Bipolar Disorder. The Journal Of Nervous And Mental Disease 1996, 184: 331-338. PMID: 8642381, DOI: 10.1097/00005053-199606000-00001.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAttentionBipolar DisorderEye MovementsFemaleHumansIntelligence TestsMaleMiddle AgedMultivariate AnalysisNeuropsychological TestsPsychiatric Status Rating ScalesPursuit, SmoothReaction TimeRegression AnalysisSaccadesSchizophreniaSchizophrenic PsychologySex FactorsVisual Perception
1992
Magnetic resonance imaging in autism: measurement of the cerebellum, pons, and fourth ventricle
Piven J, Nehme E, Simon J, Barta P, Pearlson G, Folstein S. Magnetic resonance imaging in autism: measurement of the cerebellum, pons, and fourth ventricle. Biological Psychiatry 1992, 31: 491-504. PMID: 1581425, DOI: 10.1016/0006-3223(92)90260-7.Peer-Reviewed Original Research
1991
Suprasellar cistern measures as a reflection of dementia in Alzheimer's disease but not Huntington's disease
Aylward E, Karagiozis H, Pearlson G, Folstein M. Suprasellar cistern measures as a reflection of dementia in Alzheimer's disease but not Huntington's disease. Journal Of Psychiatric Research 1991, 25: 31-47. PMID: 1827501, DOI: 10.1016/0022-3956(91)90014-2.Peer-Reviewed Original ResearchConceptsAlzheimer's diseaseSuprasellar cisternDisease patientsAD patientsTemporal lobeCognitive statusHuntington's diseaseRespective age-matched controlsBasal forebrain areasAge-matched controlsHuntington's disease patientsForebrain areasEntorhinal cortexCognitive declinePatientsDiseaseBrain widthLobeHDStatusAtrophyDementiaPerceptual ratingsCortexBicaudate ratio as a measure of caudate volume on MR images.
Aylward E, Schwartz J, Machlin S, Pearlson G. Bicaudate ratio as a measure of caudate volume on MR images. American Journal Of Neuroradiology 1991, 12: 1217-22. PMID: 1763757, PMCID: PMC8331458.Peer-Reviewed Original Research
1990
Magnetic resonance imaging evidence for a defect of cerebral cortical development in autism
Piven J, Berthier M, Starkstein S, Nehme E, Pearlson G, Folstein S. Magnetic resonance imaging evidence for a defect of cerebral cortical development in autism. American Journal Of Psychiatry 1990, 147: 734-739. PMID: 2343916, DOI: 10.1176/ajp.147.6.734.Peer-Reviewed Original ResearchConceptsControl subjectsMagnetic resonance imaging (MRI) scansCerebral cortical malformationsResonance imaging scansCerebral cortical developmentAutistic subjectsMigration of neuronsMonths of gestationPathogenesis of autismCerebral cortexCortical malformationsImaging scansCortical developmentMacrogyriaPathogenesisMalformationsAbnormalitiesSubjectsScansMagnetic resonancePolymicrogyriaGestationCortexNeuronsMRI
1985
Symptomatic, Familial, Perinatal, and Social Correlates of Computerized Axial Tomography (CAT) Changes in Schizophrenics and Bipolars
PEARLSON G, GARBACZ D, MOBERG P, AHN H, DEPAULO J. Symptomatic, Familial, Perinatal, and Social Correlates of Computerized Axial Tomography (CAT) Changes in Schizophrenics and Bipolars. The Journal Of Nervous And Mental Disease 1985, 173: 42-50. PMID: 3965611, DOI: 10.1097/00005053-198501000-00007.Peer-Reviewed Original ResearchConceptsVentricular enlargementFamily historyNegative symptomsComputerized axial tomography scanLateral ventricular enlargementAxial tomography scanPast psychiatric historyEarly brain damageMarked ventricular enlargementSubgroup of schizophrenicsPoor premorbid adjustmentLateral ventricularTomography changesBrain ratioPatient groupBrain damageTomography scanPsychiatric illnessPsychiatric historyBipolar patientsNormal controlsEarly onsetPatientsPremorbid adjustmentSignificant proportion
1984
Lateral ventricular enlargement associated with persistent unemployment and negative symptoms in both schizophrenia and bipolar disorder
Pearlson G, Garbacz D, Breakey W, Ahn H, DePaulo J. Lateral ventricular enlargement associated with persistent unemployment and negative symptoms in both schizophrenia and bipolar disorder. Psychiatry Research 1984, 12: 1-9. PMID: 6589656, DOI: 10.1016/0165-1781(84)90133-1.Peer-Reviewed Original Research
1981
COMPUTERISED TOMOGRAPHIC SCAN CHANGES IN MANIC-DEPRESSIVE ILLNESS
Pearlson G, Veroff A. COMPUTERISED TOMOGRAPHIC SCAN CHANGES IN MANIC-DEPRESSIVE ILLNESS. The Lancet 1981, 318: 470. PMID: 6115222, DOI: 10.1016/s0140-6736(81)90798-4.Peer-Reviewed Original Research