2023
Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP)
Koen J, Lewis L, Rugg M, Clementz B, Keshavan M, Pearlson G, Sweeney J, Tamminga C, Ivleva E. Supervised machine learning classification of psychosis biotypes based on brain structure: findings from the Bipolar-Schizophrenia network for intermediate phenotypes (B-SNIP). Scientific Reports 2023, 13: 12980. PMID: 37563219, PMCID: PMC10415369, DOI: 10.1038/s41598-023-38101-0.Peer-Reviewed Original ResearchConceptsPsychosis biotypesPsychosis casesBrain-based biomarkersLogistic regression modelsT1-weighted imagesBipolar-Schizophrenia NetworkHealthy controlsDisease neurobiologyPsychotic disordersClinical diagnosisStructural MRIBrain structuresGrey matter density mapsDSM diagnosesEvidence of specificityAbove-chance classification accuracy
2021
Tau‐Atrophy Variability Reveals Phenotypic Heterogeneity in Alzheimer's Disease
Das S, Lyu X, Duong M, Xie L, McCollum L, Flores R, DiCalogero M, Irwin D, Dickerson B, Nasrallah I, Yushkevich P, Wolk D, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Shaw L, Liu E, Montine T, Thomas R, Donohue M, Walter S, Gessert D, Sather T, Jiminez G, Harvey D, Donohue M, Bernstein M, Fox N, Thompson P, Schuff N, DeCArli C, Borowski B, Gunter J, Senjem M, Vemuri P, Jones D, Kantarci K, Ward C, Koeppe R, Foster N, Reiman E, Chen K, Mathis C, Landau S, Cairns N, Householder E, Reinwald L, Lee V, Korecka M, Figurski M, Crawford K, Neu S, Foroud T, Potkin S, Shen L, Kelley F, Kim S, Nho K, Kachaturian Z, Frank R, Snyder P, Molchan S, Kaye J, Quinn J, Lind B, Carter R, Dolen S, Schneider L, Pawluczyk S, Beccera M, Teodoro L, Spann B, Brewer J, Vanderswag H, Fleisher A, Heidebrink J, Lord J, Petersen R, Mason S, Albers C, Knopman D, Johnson K, Doody R, Meyer J, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Bell K, Ances B, Morris J, Carroll M, Leon S, Householder E, Mintun M, Schneider S, Oliver A, Marson D, Griffith R, Clark D, Geld‐Macher D, Brockington J, Roberson E, Grossman H, Mitsis E, Toledo‐Morrell L, Shah R, Duara R, Varon D, Greig M, Roberts P, Albert M, Onyike C, D'Agostino D, Kielb S, Galvin J, Pogorelec D, Cerbone B, Michel C, Rusinek H, Leon M, Glodzik L, De Santi S, Doraiswamy P, Petrella J, Wong T, Arnold S, Karlawish J, Wolk D, Smith C, Jicha G, Hardy P, Sinha P, Oates E, Conrad G, Lopez O, Oakley M, Simpson D, Porsteinsson A, Goldstein B, Martin K, Makino K, Ismail M, Brand C, Mulnard R, Thai G, Ortiz C, Womack K, Mathers D, Quiceno M, Arrastia R, King R, Weiner M, Martin Cook K, DeVous M, Levey A, Lah J, Cellar J, Bums J, Anderson H, Swerdlow R, Apostolova L, Tingus K, Woo E, Silverman D, Lu P, Bartzokis G, Graff Radford N, Parfitt F, Kendall T, Johnson H, Farlow M, Hake A, Matthews B, Herring S, Hunt C, Dyck C, Carson R, MacAvoy M, Chertkow H, Bergman H, Hosein C, Black S, Stefanovic B, Caldwell C, 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, Kathleen Johnson N, Brigid Reynolds N, Sperling R, Johnson K, Marshall G, Frey M, Yesavage J, Taylor J, Lane B, Rosen A, Tinklenberg J, Sabbagh M, Belden C, Jacobson S, Sirrel S, Kowall N, Killiany R, Budson A, Norbash A, Johnson P, Obisesan T, Wolday S, Allard J, Lerner A, Ogrocki P, Hudson L, Fletcher E, Carmichael O, Olichney J, DeCarli C, 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, Adeli A, Zimmerman E, Celmins D, Brown A, Pearlson G, Blank K, Anderson K, Santulli R, Kitzmiller T, 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, Spicer K, Bachman D, Finger E, Pasternak S, 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. Tau‐Atrophy Variability Reveals Phenotypic Heterogeneity in Alzheimer's Disease. Annals Of Neurology 2021, 90: 751-762. PMID: 34617306, PMCID: PMC8841129, DOI: 10.1002/ana.26233.Peer-Reviewed Original ResearchConceptsData-driven subgroupsAlzheimer's diseaseLow atrophyCortical thicknessBrain regionsWhite matter hyperintensity lesionsModulatory factorsAmyloid-positive individualsSubsequent cognitive impairmentLevels of tauGray matter regionsAnn NeurolDownstream neurodegenerationHyperintensity lesionsTau neurofibrillaryTau burdenClinical trialsCognitive impairmentMatter regionsDiseaseMultiple underlying factorsNeurodegenerationAtrophyCohortSUVR
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
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
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
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