2023
Revisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia
Harikumar A, Solovyeva K, Misiura M, Iraji A, Plis S, Pearlson G, Turner J, Calhoun V. Revisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia. Current Neurology And Neuroscience Reports 2023, 23: 937-946. PMID: 37999830, PMCID: PMC11126894, DOI: 10.1007/s11910-023-01325-8.Peer-Reviewed Original ResearchMeSH KeywordsBrainBrain MappingHumansMagnetic Resonance ImagingNeural PathwaysNeurotransmitter AgentsSchizophreniaConceptsNetwork dysconnectivityFunctional dysconnectivityExecutive functioningState fMRI studyAttentional deficitsFMRI studyHypothesized modelSalience networkBrain networksConnectivity findingsBehavioral symptomsNeurodevelopmental modelSymptom severityDysconnectivityHypothesized mechanismsSchizophreniaDeficitsVital modelsSummaryThis paperMotor symptomsFunctioningSymptomsFindingsPurpose of ReviewOverThoughtPeripheral inflammatory subgroup differences in anterior Default Mode network and multiplex functional network topology are associated with cognition in psychosis
Lizano P, Kiely C, Mijalkov M, Meda S, Keedy S, Hoang D, Zeng V, Lutz O, Pereira J, Ivleva E, Volpe G, Xu Y, Lee A, Rubin L, Hill S, Clementz B, Tamminga C, Pearlson G, Sweeney J, Gershon E, Keshavan M, Bishop J. Peripheral inflammatory subgroup differences in anterior Default Mode network and multiplex functional network topology are associated with cognition in psychosis. Brain Behavior And Immunity 2023, 114: 3-15. PMID: 37506949, PMCID: PMC10592140, DOI: 10.1016/j.bbi.2023.07.014.Peer-Reviewed Original ResearchConceptsResting-state networksHealthy controlsInter-network connectivityWorse verbal fluencyAnterior default mode networkC-reactive proteinResting-state functional networksDefault mode network connectivityRight frontoparietal networkMode network connectivityWorse cognitive performanceResting-state fMRIDefault mode networkFunctional network topologyInflammatory signatureSystemic inflammationInflammatory subgroupIL-6Neuroanatomical alterationsPsychosis probandsCo-activation patternsPsychosis spectrum disordersNetwork dysfunctionMultiple comparison correctionClinical implicationsMulti-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study
Meng X, Iraji A, Fu Z, Kochunov P, Belger A, Ford J, McEwen S, Mathalon D, Mueller B, Pearlson G, Potkin S, Preda A, Turner J, van Erp T, Sui J, Calhoun V. Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from resting data: A large N fMRI schizophrenia study. NeuroImage Clinical 2023, 38: 103434. PMID: 37209635, PMCID: PMC10209454, DOI: 10.1016/j.nicl.2023.103434.Peer-Reviewed Original ResearchConceptsIndependent component analysisData-driven approachData miningF1 scoreClassification modelReference algorithmNetwork connectivityMagnetic resonance imaging dataNetworkImaging dataPredictive resultsPatient dataFunctional magnetic resonance imaging (fMRI) dataData acquisition timeConnectivity networksFrameworkConnectivityPromising approachNew subjectMiningAnalytic approachAlgorithmDatasetAcquisition timeComponent analysis
2014
Relationships between Reward Sensitivity, Risk-Taking and Family History of Alcoholism during an Interactive Competitive fMRI Task
Yarosh HL, Hyatt CJ, Meda SA, Jiantonio-Kelly R, Potenza MN, Assaf M, D.Pearlson G. Relationships between Reward Sensitivity, Risk-Taking and Family History of Alcoholism during an Interactive Competitive fMRI Task. PLOS ONE 2014, 9: e88188. PMID: 24505424, PMCID: PMC3913753, DOI: 10.1371/journal.pone.0088188.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismBasal GangliaBrain MappingFemaleHumansMagnetic Resonance ImagingMaleRewardRisk-TakingSocial BehaviorConceptsVentral striatal activationNeural correlatesImpulsivity measuresStriatal activationFHN individualsFunctional magnetic resonance imaging (fMRI) taskVentral striatum activationSelf-report measuresImpulsivity-related measuresFunctional magnetic resonanceRisk-taking scoresReward-related networksAlcohol-dependent individualsNeural underpinningsPunishment sensitivityReward responsivenessReward sensitivityFMRI taskReward processingStriatum activationSocial tasksFHP individualsMonetary rewardsAddictive behaviorsAxis I Disorders
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
2009
Sex-dependent association of common variants of microcephaly genes with brain structure
Rimol L, Agartz I, Djurovic S, Brown A, Roddey J, Kähler A, Mattingsdal M, Athanasiu L, Joyner A, Schork N, Halgren E, Sundet K, Melle I, Dale A, Andreassen O, Weiner M, Thal L, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Gamst A, Potter W, Montine T, Anders D, Bernstein M, Felmlee J, Fox N, Thompson P, Schuff N, Alexander G, Bandy D, Koeppe R, Foster N, Reiman E, Chen K, Trojanowki J, Shaw L, Lee V, Korecka M, Toga A, Crawford K, Neu S, Harvey D, Gamst A, Kornak J, Kachaturian Z, Frank R, Snyder P, Molchan S, Kaye J, Vorobik R, Quinn J, Schneider L, Pawluczyk S, Spann B, Fleisher A, Vanderswag H, Heidebrink J, Lord J, Johnson K, Doody R, Villanueva-Meyer J, Chowdhury M, Stern Y, Honig L, Bell K, Morris J, Mintun M, Schneider S, Marson D, Griffith R, Badger B, Grossman H, Tang C, Stern J, deToledo-Morrell L, Shah R, Bach J, Duara R, Isaacson R, Strauman S, Albert M, Pedroso J, Toroney J, Rusinek H, de Leon M, De Santi S, Doraiswamy P, Petrella J, Aiello M, Clark C, Pham C, Nunez J, Smith C, Given C, Hardy P, DeKosky S, Oakley M, Simpson D, Ismail M, Porsteinsson A, McCallum C, Cramer S, Mulnard R, McAdams-Ortiz C, Diaz-Arrastia R, Martin-Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Laubinger M, Bartzokis G, Silverman D, Lu P, Fletcher R, Parfitt F, Johnson H, Farlow M, Herring S, Hake A, van Dyck C, MacAvoy M, Bifano L, Chertkow H, Bergman H, Hosein C, Black S, Graham S, Caldwell C, Feldman H, Assaly M, Hsiung G, Kertesz A, Rogers J, Trost D, Bernick C, Gitelman D, Johnson N, Mesulam M, Sadowsky C, Villena T, Mesner S, Aisen P, Johnson K, Behan K, Sperling R, Rentz D, Johnson K, Rosen A, Tinklenberg J, Ashford W, Sabbagh M, Connor D, Obradov S, Killiany R, Norbash A, Obisesan T, Jayam-Trouth A, Wang P, Auchus A, Huang J, Friedland R, DeCarli C, Fletcher E, Carmichael O, Kittur S, Mirje S, Johnson S, Borrie M, Lee T, Asthana S, Carlsson C, Potkin S, Highum D, Preda A, Nguyen D, Tariot P, Hendin B, Scharre D, Kataki M, Beversdorf D, Zimmerman E, Celmins D, Brown A, Gandy S, Marenberg M, Rovner B, Pearlson G, Blank K, Anderson K, Saykin A, Santulli R, Pare N, Williamson J, Sink K, Potter H, Raj B, Giordano A, Ott B, Wu C, Cohen R, Wilks K. Sex-dependent association of common variants of microcephaly genes with brain structure. Proceedings Of The National Academy Of Sciences Of The United States Of America 2009, 107: 384-388. PMID: 20080800, PMCID: PMC2806758, DOI: 10.1073/pnas.0908454107.Peer-Reviewed Original Research
2001
Diffusion Tensor Imaging and Axonal Tracking in the Human Brainstem
Stieltjes B, Kaufmann W, van Zijl P, Fredericksen K, Pearlson G, Solaiyappan M, Mori S. Diffusion Tensor Imaging and Axonal Tracking in the Human Brainstem. NeuroImage 2001, 14: 723-735. PMID: 11506544, DOI: 10.1006/nimg.2001.0861.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnisotropyAxonsBrain MappingBrain StemColorDifferential ThresholdFemaleHumansMagnetic Resonance ImagingMaleConceptsCorticospinal tractInferior cerebellar peduncleDiffusion tensor imagingFrontopontine tractCerebral peduncleMedial lemniscusDiffusion tensor MRIAnatomical mappingCerebellar peduncleHuman brainstemAxonal connectionsMRI parametersAxonal trackingQuantitative MRI mapsTensor imagingTractAnatomical landmarksMRI mapsIndividual tractsAnatomical knowledgeReconstructed fibersBrainstemLemniscus
1997
Measurement of frontal lobe volume on magnetic resonance imaging scans
Aylward E, Augustine A, Li Q, Barta P, Pearlson G. Measurement of frontal lobe volume on magnetic resonance imaging scans. Psychiatry Research 1997, 75: 23-30. PMID: 9287371, DOI: 10.1016/s0925-4927(97)00026-7.Peer-Reviewed Original ResearchBasal ganglia volume in adults with Down syndrome
Aylward E, Li Q, Habbak R, Warren A, Pulsifer M, Barta P, Jerram M, Pearlson G. Basal ganglia volume in adults with Down syndrome. Psychiatry Research 1997, 74: 73-82. PMID: 9204510, DOI: 10.1016/s0925-4927(97)00011-5.Peer-Reviewed Original ResearchConceptsBasal ganglia volumesGanglia volumesDS subjectsBasal gangliaDown syndromeControl subjectsDementia statusNeuropsychological test performanceBrain volumeSmaller total brain volumeVolumes of caudateTotal brain volumeBasal ganglia abnormalitiesOverall brain volumeLarger putamen volumesTotal brainGlobus pallidusPutamen volumeNormal individualsGangliaTest performanceNeuropsychological testsSignificant correlationSyndromeAgeMedial 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
Exploratory factor analysis of MRI brain structure measures in schizophrenia
Tien A, Eaton W, Schlaepfer T, McGilchrist I, Menon R, Richard P, Aylward E, Barta P, Strauss M, Pearlson G. Exploratory factor analysis of MRI brain structure measures in schizophrenia. Schizophrenia Research 1996, 19: 93-101. PMID: 8789907, DOI: 10.1016/0920-9964(96)88520-3.Peer-Reviewed Original ResearchConceptsSuperior temporal gyrusSchizophrenia groupNormal groupTemporal gyrusStructural brain abnormalitiesLateral temporal lobe structuresBrain volume measuresTemporal lobe structuresSpecific brain regionsPosterior superior temporal gyrusBrain structure measuresBasal gangliaBrain abnormalitiesCortical greyEntorhinal cortexBrain regionsSchizophrenic subjectsNeuropsychiatric dataLobe structuresSchizophreniaSignificant differencesSignificant correlationGray regionGyrusFactor structure
1995
Cingulate gyrus in schizophrenic patients and normal volunteers
Noga J, Aylward E, Barta P, Pearlson G. Cingulate gyrus in schizophrenic patients and normal volunteers. Psychiatry Research 1995, 61: 201-208. PMID: 8748465, DOI: 10.1016/0925-4927(95)02612-2.Peer-Reviewed Original ResearchConceptsSeverity of hallucinationsCingulate gyrusNormal volunteersMagnetic resonance imaging sectionsPosterior cingulate gyrusPatient groupSchizophrenic patientsBrain volumeParental socioeconomic statusCingulate regionsPatientsCingulate structuresSocioeconomic statusInverse correlationGyrusInterrater reliabilityBonferroni correctionSchizophreniaSeverityVolunteersHallucinationsImaging sectionsLateral asymmetryGroup
1991
Cortical circumferential profile of SPECT cerebral perfusion in Alzheimer's disease
Harris G, Links J, Pearlson G, Camargo E. Cortical circumferential profile of SPECT cerebral perfusion in Alzheimer's disease. Psychiatry Research 1991, 40: 167-180. PMID: 1780390, DOI: 10.1016/0925-4927(91)90008-e.Peer-Reviewed Original ResearchConceptsCerebral perfusionAlzheimer's diseaseRegional cerebral perfusionElderly control subjectsCerebral cortex functionControl subjectsCortex functionEntire cortexCircumferential profilesNeuroimaging studiesDiseaseIntersubject comparisonsPerfusionCortexDecrease variabilityPatientsIodoamphetamineBrain edgesUser-friendly method for rapid brain and CSF volume calculation using transaxial MRI images
Harris G, Rhew E, Noga T, Pearlson G. User-friendly method for rapid brain and CSF volume calculation using transaxial MRI images. Psychiatry Research 1991, 40: 61-68. PMID: 1946841, DOI: 10.1016/0925-4927(91)90029-p.Peer-Reviewed Original Research
1986
Cold Water Stress Abolishes Hyperactivity Produced by Cortical Suction Lesions Without Altering Noradrenergic Depletion
Moran T, Zern K, Pearlson G, Kubos K, Robinson R. Cold Water Stress Abolishes Hyperactivity Produced by Cortical Suction Lesions Without Altering Noradrenergic Depletion. Behavioral Neuroscience 1986, 100: 422-426. PMID: 3730151, DOI: 10.1037/0735-7044.100.3.422.Peer-Reviewed Original ResearchConceptsSuction lesionsControl animalsSham-operated control animalsFirst postoperative weekWeekly intervalsDevelopment of hyperactivityCold water swimmingPostoperative periodNoradrenergic depletionNorepinephrine depletionPostoperative weekCatecholamine depletionBehavioral hyperactivitySwim testLesion groupLesionsHyperactivityWeekly stress
1984
Effect of anterior-posterior lesion location on the asymmetrical behavioral and biochemical response to cortical suction ablations in the rat
Pearlson G, Kubos K, Robinson R. Effect of anterior-posterior lesion location on the asymmetrical behavioral and biochemical response to cortical suction ablations in the rat. Brain Research 1984, 293: 241-250. PMID: 6697218, DOI: 10.1016/0006-8993(84)91231-9.Peer-Reviewed Original ResearchConceptsSuction ablationLesion locationRight hemisphereConcentrations of norepinephrineContralateral cortexCortical lesionsAnterior lesionsLocus coeruleusSpontaneous activityNeurotransmitter pathwaysLocomotor activityGreater reductionLesionsRatsCortexBehavioral findingsBiochemical responsesAblationAnalysis of varianceAnterior-posterior axisNorepinephrineCoeruleusHyperactivityHemisphere