2024
Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia
Xing Y, Pearlson G, Kochunov P, Calhoun V, Du Y. Local-structure-preservation and redundancy-removal-based feature selection method and its application to the identification of biomarkers for schizophrenia. NeuroImage 2024, 299: 120839. PMID: 39251116, PMCID: PMC11491165, DOI: 10.1016/j.neuroimage.2024.120839.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkersBrainFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingSchizophreniaConceptsSelection methodClassification accuracy gainsGraph-based regularizationHigh-dimensional dataFeature selection methodLocal structural informationSparse regularizationAblation studiesFeature subsetPublic datasetsFeature selectionClassification accuracyExperimental evaluationAccuracy gainsSelection techniquesNetwork connectivityData transformationSuperior performanceDatasetConvergence analysisStructural informationClassificationRegularizationFeaturesDisorder prediction4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
Pusuluri K, Fu Z, Miller R, Pearlson G, Kochunov P, Van Erp T, Iraji A, Calhoun V. 4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia. Human Brain Mapping 2024, 45: e26773. PMID: 39045900, PMCID: PMC11267451, DOI: 10.1002/hbm.26773.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainCognitive DysfunctionConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetSchizophreniaYoung AdultConceptsBrain networksFunctional magnetic resonance imagingAssociated with cognitive performanceDynamics of functional brain networksAssociated with cognitionFunctional brain networksVoxel-wise changesVolumetric couplingDynamical variablesCognitive performanceTypical controlsSchizophreniaCognitive impairmentNetwork pairsMagnetic resonance imagingPair of networksCognitionAtypical variabilityResonance imagingCouplingNetwork connectivityNetwork growthImpairmentBrainStatic networksNeurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm
Jiang Y, Luo C, Wang J, Palaniyappan L, Chang X, Xiang S, Zhang J, Duan M, Huang H, Gaser C, Nemoto K, Miura K, Hashimoto R, Westlye L, Richard G, Fernandez-Cabello S, Parker N, Andreassen O, Kircher T, Nenadić I, Stein F, Thomas-Odenthal F, Teutenberg L, Usemann P, Dannlowski U, Hahn T, Grotegerd D, Meinert S, Lencer R, Tang Y, Zhang T, Li C, Yue W, Zhang Y, Yu X, Zhou E, Lin C, Tsai S, Rodrigue A, Glahn D, Pearlson G, Blangero J, Karuk A, Pomarol-Clotet E, Salvador R, Fuentes-Claramonte P, Garcia-León M, Spalletta G, Piras F, Vecchio D, Banaj N, Cheng J, Liu Z, Yang J, Gonul A, Uslu O, Burhanoglu B, Uyar Demir A, Rootes-Murdy K, Calhoun V, Sim K, Green M, Quidé Y, Chung Y, Kim W, Sponheim S, Demro C, Ramsay I, Iasevoli F, de Bartolomeis A, Barone A, Ciccarelli M, Brunetti A, Cocozza S, Pontillo G, Tranfa M, Park M, Kirschner M, Georgiadis F, Kaiser S, Van Rheenen T, Rossell S, Hughes M, Woods W, Carruthers S, Sumner P, Ringin E, Spaniel F, Skoch A, Tomecek D, Homan P, Homan S, Omlor W, Cecere G, Nguyen D, Preda A, Thomopoulos S, Jahanshad N, Cui L, Yao D, Thompson P, Turner J, van Erp T, Cheng W, Feng J. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm. Nature Communications 2024, 15: 5996. PMID: 39013848, PMCID: PMC11252381, DOI: 10.1038/s41467-024-50267-3.Peer-Reviewed Original ResearchConceptsGray matter changesDisorder constructsEnlarged striatumPsychiatric conditionsMental disordersSubcortical regionsSchizophreniaBiological foundationsMatter changesBrain imagingStriatumDisordersBiological factorsIndividualsSubtypesHealthy subjectsCross-sectional brain imagingHippocampusTemporal trajectoriesInternational cohortSubgroup 2Subgroup 1SubgroupsA confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity
Hassanzadeh R, Abrol A, Pearlson G, Turner J, Calhoun V. A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity. PLOS ONE 2024, 19: e0293053. PMID: 38768123, PMCID: PMC11104643, DOI: 10.1371/journal.pone.0293053.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlzheimer DiseaseBrainCase-Control StudiesCognitive DysfunctionConnectomeFemaleHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNerve NetRestSchizophreniaConceptsResting-state functional network connectivityFunctional network connectivityResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingAlzheimer's diseaseClassification of schizophreniaNetwork pairsPatients to healthy controlsSchizophrenia patientsNeurobiological mechanismsSZ patientsSubcortical networksCerebellum networkSchizophreniaRs-fMRIDisorder developmentMotor networkCompare patient groupsSubcortical domainSZ disorderHealthy controlsMagnetic resonance imagingDisordersNetwork connectivityFunctional abnormalities
2023
Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease
Shirzadi Z, Schultz S, Yau W, Joseph-Mathurin N, Fitzpatrick C, Levin R, Kantarci K, Preboske G, Jack C, Farlow M, Hassenstab J, Jucker M, Morris J, Xiong C, Karch C, Levey A, Gordon B, Schofield P, Salloway S, Perrin R, McDade E, Levin J, Cruchaga C, Allegri R, Fox N, Goate A, Day G, Koeppe R, Chui H, Berman S, Mori H, Sanchez-Valle R, Lee J, Rosa-Neto P, Ruthirakuhan M, Wu C, Swardfager W, Benzinger T, Sohrabi H, Martins R, Bateman R, Johnson K, Sperling R, Greenberg S, Schultz A, Chhatwal J, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Perrin R, Shaw L, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, González H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Ryan L, Silverberg N, Fleisher A, Sacrey D, Fockler J, Conti C, Veitch D, Neuhaus J, Jin C, Nosheny R, Ashford M, Flenniken D, Kormos A, Montine T, Rafii M, Raman R, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Cabrera Y, Walter S, Miller G, Coker G, Clanton T, Hergesheimer L, Smith S, Adegoke O, Mahboubi P, Moore S, Pizzola J, Shaffer E, Sloan B, Harvey D, Forghanian-Arani A, Borowski B, Ward C, Schwarz C, Jones D, Gunter J, Kantarci K, Senjem M, Vemuri P, Reid R, Fox N, Malone I, Thompson P, Thomopoulos S, Nir T, Jahanshad N, DeCarli C, Knaack A, Fletcher E, Tosun-Turgut D, Chen S, Choe M, Crawford K, Yushkevich P, Das S, Koeppe R, Reiman E, Chen K, Mathis C, Landau S, Cairns N, Householder E, Franklin E, Bernhardt H, Taylor-Reinwald L, Korecka M, Figurski M, Neu S, Nho K, Risacher S, Apostolova L, Shen L, Foroud T, Nudelman K, Faber K, Wilmes K, Thal L, Silbert L, Lind B, Crissey R, Kaye J, Carter R, Dolen S, Quinn J, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Ziolkowski J, Heidebrink J, Zbizek-Nulph L, Lord J, Mason S, Albers C, Knopman D, Johnson K, Villaneuva-Meyer J, Pavlik V, Pacini N, Lamb A, Kass J, Doody R, Shibley V, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Mintz A, Ances B, Winkfield D, Carroll M, Stobbs-Cucchi G, Oliver A, Creech M, Mintun M, Schneider S, Geldmacher D, Love M, Griffith R, Clark D, Brockington J, Marson D, Grossman H, Goldstein M, Greenberg J, Mitsis E, Shah R, Lamar M, Samuels P, Duara R, Greig-Custo M, Rodriguez R, Albert M, Onyike C, Farrington L, Rudow S, Brichko R, Kielb S, Smith A, Raj B, Fargher K, Sadowski M, Wisniewski T, Shulman M, Faustin A, Rao J, Castro K, Ulysse A, Chen S, Sheikh M, Singleton-Garvin J, Doraiswamy P, Petrella J, James O, Wong T, Borges-Neto S, Karlawish J, Wolk D, Vaishnavi S, Clark C, Arnold S, Smith C, Jicha G, El Khouli R, Raslau F, Lopez O, Oakley M, Simpson D, Porsteinsson A, Martin K, Kowalski N, Keltz M, Goldstein B, Makino K, Ismail M, Brand C, Thai G, Pierce A, Yanez B, Sosa E, Witbracht M, Kelley B, Nguyen T, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Hajjar I, Cellar J, Burns J, Swerdlow R, Brooks W, Silverman D, Kremen S, Tingus K, Lu P, Bartzokis G, Woo E, Teng E, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van Dyck C, Mecca A, Good S, MacAvoy M, Carson R, Varma P, Chertkow H, Vaitekunis S, Hosein C, Black S, Stefanovic B, Heyn C, Hsiung G, Kim E, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternak S, Rachinsky I, Kertesz A, Drost D, Rogers J, Grant I, Muse B, Rogalski E, Robson J, Mesulam M, Kerwin D, Wu C, Johnson N, Lipowski K, Weintraub S, Bonakdarpour B, Pomara N, Hernando R, Sarrael A, Rosen H, Miller B, Perry D, Turner R, Johnson K, Reynolds B, MCCann K, Poe J, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Belden C, Atri A, Clark K, Zamrini E, Sabbagh M, Killiany R, Stern R, Mez J, Kowall N, Budson A, Obisesan T, Ntekim O, Wolday S, Khan J, Nwulia E, Nadarajah S, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Maillard P, Olichney J, Carmichael O, Bates V, Capote H, Rainka M, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Burke A, Scharre D, Kataki M, Tarawneh R, Hart D, Zimmerman E, Celmins D, Miller D, Boles Ponto L, Smith K, Koleva H, Shim H, Nam K, Schtulz S, Williamson J, Craft S, Cleveland J, Yang M, Sink K, Ott B, Drake J, Tremont G, Daiello L, Ritter A, Bernick C, Munic D, O'Connell A, Mintzer J, Wiliams A, Masdeu J, Shi J, Garcia A, Newhouse P, Potkin S, Salloway S, Malloy P, Correia S, Kittur S, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Relkin N, Chiang G, Lee A, Lin M, Ravdin L, Sood A, Blanchard K, Fleischman D, Arfanakis K, Varon D, Greig M, Goldstein B, Martin K, Reist C, Sadowsky C, Martinez W, Villena T, Rosen H, Marshall G, Peskind E, Petrie E, Li G, Noble J, Voglein J, Chrem Mendez P, Surace E, Ikonomovic S, Nadkarni N, Lopera F, Ramirez L, Aguillon D, Leon Y, Ramos C, Alzate D, Baena A, Londono N, Moreno S, Laske C, Kuder-Buletta E, Graber-Sultan S, Preische O, Hofmann A, Ikeuchi T, Kasuga K, Niimi Y, Ishii K, Senda M, Cash D, Roh J, Riddle M, Menard W, Bodge C, Surti M, Takada L, Farlow M, Sanchez-Gonzalez V, Orozco-Barajas M, Renton A, Esposito B, Karch C, Marsh J, Fernanadez V, Jerome G, Herries E, Llibre-Guerra J, Johnson E, Seyfried N, Brooks W, Bechara J, Franklin E, Chen A, Chen C, Flores S, Hantler N, Hornbeck R, Jarman S, Keefe S, Koudelis D, Massoumzadeh P, McCullough A, McKay N, Nicklaus J, Pulizos C, Wang Q, Mishall S, Sabaredzovic E, Deng E, Candela M, Smith H, Hobbs D, Scott J, Xiong C, Wang P, Xu X, Li Y, Gremminger E, Ma Y, Bui R, Lu R, Martins R, Sosa Ortiz A, Daniels A, Courtney L, Mori H, Supnet-Bell, PhD (CSB) C, Xu J, Ringman J, Barthelemy N, Smith J. Etiology of White Matter Hyperintensities in Autosomal Dominant and Sporadic Alzheimer Disease. JAMA Neurology 2023, 80: 1353-1363. PMID: 37843849, PMCID: PMC10580156, DOI: 10.1001/jamaneurol.2023.3618.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAlzheimer DiseaseAmyloidogenic ProteinsAmyloidosisCohort StudiesCross-Sectional StudiesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleWhite MatterConceptsSystemic vascular riskAutosomal dominant Alzheimer's diseaseLate-onset Alzheimer's diseaseVascular riskWMH volumeGray matter volumeAlzheimer's diseaseCohort studyOlder adultsDisease Neuroimaging InitiativeMAIN OUTCOMEMatter volumeCommon magnetic resonance imaging findingCommunity-based medical centerSystemic vascular risk factorsMagnetic resonance imaging (MRI) findingsWhite matter hyperintensity volumeHarvard Aging Brain StudyVascular risk factorsResonance Imaging FindingsLongitudinal cohort studyGreater WMH volumeSporadic Alzheimer's diseasePathogenic variant carriersWhite matter hyperintensitiesRevisiting 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 ReviewOverThoughtInsulin-like growth factor binding protein-2 in at-risk adults and autopsy-confirmed Alzheimer brains
Quesnel M, Labonté A, Picard C, Zetterberg H, Blennow K, Brinkmalm A, Villeneuve S, Poirier J, Weiner M, Aisen P, Petersen R, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Perrin R, Shaw L, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, González H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Perrin R, Ryan L, Silverberg N, Fleisher A, Weiner M, Sacrey D, Fockler J, Conti C, Veitch D, Neuhaus J, Jin C, Nosheny R, Ashford M, Flenniken D, Kormos A, Green R, Montine T, Conti C, Petersen R, Aisen P, Rafii M, Raman R, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Cabrera Y, Walter S, Miller G, Coker G, Clanton T, Hergesheimer L, Smith S, Adegoke O, Mahboubi P, Moore S, Pizzola J, Shaffer E, Sloan B, Beckett L, Harvey D, Donohue M, Jack C, Forghanian-Arani A, Borowski B, Ward C, Schwarz C, Jones D, Gunter J, Kantarci K, Senjem M, Vemuri P, Reid R, Fox N, Malone I, Thompson P, Thomopoulos S, Nir T, Jahanshad N, DeCarli C, Knaack A, Fletcher E, Harvey D, Tosun-Turgut D, Chen S, Choe M, Crawford K, Yushkevich P, Das S, Jagust W, Koeppe R, Reiman E, Chen K, Mathis C, Landau S, Morris J, MD R, Cairns N, Householder E, Franklin E, R H, Taylor-Reinwald L, Shaw L, Trojanowki J, Korecka M, Figurski M, Toga A, Crawford K, Neu S, Saykin A, Nho K, Risacher S, Apostolova L, Shen L, Foroud T, Nudelman K, Faber K, Wilmes K, Weiner M, Thal L, Khachaturian Z, Hsiao J, Silbert L, Lind B, Crissey R, Kaye J, Carter R, Dolen S, Quinn J, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Fleisher A, Ziolkowski J, Heidebrink J, Zbizek-Nulph M, Lord J, Zbizek-Nulph L, Petersen R, Mason S, Albers C, Knopman D, Johnson K, Villanueva-Meyer J, Pavlik V, Pacini N, Lamb A, Kass J, Doody R, Shibley V, Chowdhury M, Dang M, Stern Y, Honig L, Mintz A, Ances B, Morris J, Winkfield D, Carroll M, Stobbs-Cucchi G, Oliver A, Creech M, Mintun M, Schneider S, Geldmacher D, Love M, Griffith R, Clark D, Brockington J, Marson D, Grossman H, Goldstein M, Greenberg J, Mitsis E, Shah R, Lamar M, Duara R, Greig-Custo M, Rodriguez R, Albert M, Onyike C, Farrington L, Rudow S, Brichko R, Kielb S, Smith A, Raj B, Fargher K, Sadowski M, Wisniewski T, Shulman M, Faustin A, Rao J, Castro K, Ulysse A, Chen S, Sheikh M, Singleton-Garvin J, Doraiswamy P, Petrella J, James O, Wong T, Borges-Neto S, Karlawish J, Wolk D, Vaishnavi S, Clark C, Arnold S, Smith C, Jicha G, El Khouli R, Raslau F, Lopez O, Oakley M, Simpson D, Porsteinsson A, Martin K, Kowalski N, Keltz M, Goldstein B, Makino K, Ismail M, Brand C, Thai G, Pierce A, Yanez B, Sosa E, Witbracht M, Kelley B, Nguyen T, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Hajjar I, Cellar J, Burns J, Swerdlow R, Brooks W, Silverman D, Kremen S, Apostolova L, Tingus K, Lu H, Bartzokis G, Woo E, Teng E, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van Dyck C, Mecca A, Mecca A, Good S, MacAvoy M, Carson R, Varma P, Chertkow H, Vaitekunis S, Hosein C, Black S, Stefanovic B, Heyn C, Hsiung G, Kim E, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternak S, Rachinsky I, Kertesz A, Drost D, Rogers J, Grant I, Muse B, Rogalski E, Robson J, Mesulam M, Kerwin D, Wu C, Johnson N, Lipowski K, Weintraub S, Bonakdarpour B, Pomara N, Hernando R, Sarrael A, Rosen H, Miller B, Perry D, Turner R, Johnson K, Reynolds B, MCCann K, Poe J, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Belden C, Atri A, Spann B, Clark K, Zamrini E, Sabbagh M, Killiany R, Stern R, Mez J, Kowall N, Budson A, Obisesan T, Ntekim O, Wolday S, Khan J, Nwulia E, Nadarajah S, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Fletcher E, Maillard P, Olichney J, DeCarli C, Carmichael O, Bates V, Capote H, Rainka M, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Burke A, Scharre D, Kataki M, Tarawneh R, Kelley B, Hart D, Zimmerman E, Celmins D, Miller D, Ponto L, Smith K, Koleva H, Shim H, Nam K, Schultz S, Williamson J, Craft M, Cleveland J, Yang M, Sink K, Ott B, Drake J, Tremont G, Daiello L, Drake J, Sabbagh M, Ritter A, Bernick C, Munic D, Mintz A, O’Connelll A, Mintzer J, Wiliams A, Masdeu J, Shi J, Garcia A, Sabbagh M, Newhouse P, Potkin S, Salloway S, Malloy P, Correia S, Kittur S, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Relkin N, Chiang G, Lee A, Lin M, Ravdin L, Weiner M, Aisen P, Petersen R, Weiner M, Aisen P, Petersen R, Green R, Harvey D, Jack C, Jagust W, Morris J, Saykin A, Shaw L, Toga A, Trojanowki J, Neylan T, Grafman J, Green R, Montine T, Weiner M, Petersen R, Aisen P, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Walter S, Adegoke O, Mahboubi P, Hergesheimer L, Danowski S, Coker G, Clanton T, Pizzola J, Shaffer E, Nguyen-Barrera C, Neylan T, Hayes J, Finley S, Harvey D, Donohue M, Jack C, Bernstein M, Borowski B, Gunter J, Senjem M, Kantarci K, Ward C, Tosun-Turgut D, Chen R, Landau S, Koeppe R, Foster N, Reiman E, Chen K, Morris J, Perrin R, Franklin E, Shaw L, Trojanowki J, Korecka M, Figurski M, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Potkin S, Shen L, Faber K, Kim S, Nho K, Wilmes K, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Fleisher A, Stern Y, Honig L, Mintz A, Shah R, Sood A, Blanchard K, Fleischman D, Arfanakis K, Duara R, Varon D, Greig M, Doraiswamy P, Petrella J, James O, Borges-Neto S, Wong T, Porsteinsson A, Goldstein B, Martin K, Thai G, Pierce A, Reist C, Yanez B, Sosa E, Witbracht M, Sadowsky C, Martinez W, Villena T, Rosen H, Perry D, Turner R, Johnson K, Reynolds B, MCCann K, Poe J, Sperling R, Johnson K, Marshall G, Belden C, Atri A, Spann B, Clark K, Zamrini E, Sabbagh M, Obisesan T, Ntekim O, Wolday S, Nwulia E, Nadarajah S, Johnson S, Asthana S, Carlsson C, Peskind E, Petrie E, Li G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Lin M, Chiang G, Ravdin L, Relkin N, O’Connelll A, Mintzer J, Wiliams A, Mackin S, Aisen P, Raman R, Jimenez-Maggiora G, Donohue M, Gessert D, Salazar J, Zimmerman C, Walter S, Adegoke O, Mahboubi P, Mackin S, Weiner M, Aisen P, Raman R, Jack C, Landau S, Saykin A, Toga A, DeCarli C, Koeppe R, Green R, Drake E, Weiner M, Aisen P, Raman R, Donohue M, Mackin S, Nelson C, Bickford D, Butters M, Zmuda M, Jack C, Bernstein M, Borowski B, Gunter J, Senjem M, Kantarci K, Ward C, Reyes D, Koeppe R, Landau S, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Faber K, Nho K, Nudelman K, Mackin S, Rosen H, Nelson C, Bickford D, Au Y, Scherer K, Catalinotto D, Stark S, Ong E, Fernandez D, Butters M, Zmuda M, Lopez O, Oakley M, Simpson D, Javanray M, Villeneuve S, Poirier J, Breitner J, Baillet S, Bellec P, Bohbot V, Chakravarty M, Collins L, Dadar M, Ducharme S, Evans A, Geddes M, Hoge R, Multhaup G, Münter L, Rajah N, Rosa-Neto P, Soucy J, Spreng N, Tardif C, Aumont-Rodrigue G, Badawy M, Bailly J, Baril A, Boisvert L, Das S, Dauar-Tedeschi M, Dery C, Élie M, Valdez A, Fonov V, Gallago J, Greco C, Hudon L, Ituria-Medina Y, Jean G, Labonté A, Lalancette M, Leoutsakos J, Mohammediyan B, Orban P, Ourry V, Picard C, Qiu T, Quesnel M, Raoult J, Remz J, St-Onge F, Sylvain E, Tremblay-Mercier J, Tullo S, Vachon-Presseau E, Yakoub Y, Etienne P, Gauthier S, Nair V, Pruessner J, Aisen P, Anthal E, Appleby M, Ayranci G, Barkun A, Beaudry T, Bedetti C, Benbouhoud F, Boutin S, Brandt J, Carmo L, Carrier C, Chapleau M, Cheewakriengkrai L, Chen Y, Courcot B, Couture D, Craft S, Cuello C, Dansereau C, Daoust L, Dea D, Debacker C, Desautels R, Dubuc S, Duclair G, Dufour M, Eisenberg M, El-Khoury R, Farzin S, Faubert A, Ferdinand F, Fontaine D, Frappier J, Frenette J, Gagné G, Gervais V, Giles R, Gonneaud J, Gordon R, Jack C, Kat J, Kazazian C, Khachaturian Z, Knopman D, Köbe T, Kostopoulos P, Lafaille-Magnan M, LeblondBaccichet G, Lee T, Lepage C, Leppert I, Madjar C, Mahar L, Maillet D, Maltais J, Mathieu A, Mathotaarachchi S, Mayrand G, McSweeney M, Meyer P, Michaud D, Miron J, Montine T, Morris J, Near J, NewboldFox H, Nilsson N, Ozlen H, Pagé V, Pascoal T, Peillieux S, Petkova M, Binette A, Pishnamazi M, Pogossova G, Poirier A, Richer M, Rioux P, Sager M, Saint-Fort E, Salaciak A, Savard M, Sperling R, Strikwerda-Brown C, Tabrizi S, Tam A, Tariot P, Teigner E, Théroux L, Thomas R, Toussaint P, Tuwaig M, Vallée I, Venugopalan V, Verfaillie S, Vogel J, Wan K, Wang S, Yu E. Insulin-like growth factor binding protein-2 in at-risk adults and autopsy-confirmed Alzheimer brains. Brain 2023, 147: 1680-1695. PMID: 37992295, PMCID: PMC11068109, DOI: 10.1093/brain/awad398.Peer-Reviewed Original ResearchConceptsQuebec founder populationFrontal cortexRepeatable Battery for the Assessment of Neuropsychological StatusT1-weighted structural MRI scansAssessment of Neuropsychological StatusParietal brain regionsAlzheimer's diseaseStructural MRI scansEntorhinal cortex volumeDelayed memoryRisk of AD conversionNeuropsychological statusVisuospatial abilityCortex volumeBrain regionsTrend-levelSynaptic biomarkersStages of AD progressionCortical amyloid-betaCSF AD biomarkersNeuroimaging analysisPREVENT-AD cohortInferior temporalCognitive AssessmentAdult hippocampusBrain 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 ResearchMeSH KeywordsAdolescentAlcohol DrinkingAlcoholismBrainFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingUnderage DrinkingConceptsAlcohol 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 scoresCircular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data
Jo T, Kim J, Bice P, Huynh K, Wang T, Arnold M, Meikle P, Giles C, Kaddurah-Daouk R, Saykin A, Nho K, Kaddurah-Daouk R, Kueider-Paisley A, Doraiswamy P, Blach C, Moseley A, Thompson W, St John-Williams L, Mahmoudiandehkhordi S, Tenenbaum J, Welsh-Balmer K, Plassman B, Saykin A, Nho K, Risacher S, Kastenmüller G, Arnold M, Han X, Baillie R, Knight R, Dorrestein P, Brewer J, Mayer E, Labus J, Baldi P, Gupta A, Fiehn O, Barupal D, Meikle P, Mazmanian S, Rader D, Kling M, Shaw L, Trojanowski J, van Duijin C, Nevado-Holgado A, Bennett D, Krishnan R, Keshavarzian A, Vogt R, Ikram A, Hankemeier T, Thiele I, Price N, Funk C, Baloni P, Jia W, Wishart D, Brinton R, Chang R, Farrer L, Au R, Qiu W, Würtz P, Koal T, Mangravite L, Krumsiek J, Suhre K, Newman J, Moreno H, Foroud T, Sacks F, Jansson J, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Perrin R, Shaw L, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, Gonzalez H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Perrin R, Ryan L, Silverberg N, Fleisher A, Sacrey D, Fockler J, Conti C, Veitch D, Neuhaus J, Jin C, Nosheny R, Ashford M, Flenniken D, Kormos A, Montine T, Rafii M, Raman R, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Cabrera Y, Walter S, Miller G, Coker G, Clanton T, Hergesheimer L, Smith S, Adegoke O, Mahboubi P, Moore S, Pizzola J, Shaffer E, Sloan B, Harvey D, Forghanian-Arani A, Borowski B, Ward C, Schwarz C, Jones D, Gunter J, Kantarci K, Senjem M, Vemuri P, Reid R, Fox N, Malone I, Thompson P, Thomopoulos S, Nir T, Jahanshad N, DeCarli C, Knaack A, Fletcher E, Tosun-Turgut D, Chen S, Choe M, Crawford K, Yushkevich P, Das S, Koeppe R, Reiman E, Chen K, Mathis C, Landau S, Cairns N, Householder E, Franklin E, Bernhardt H, Taylor-Reinwald L, Korecka M, Figurski M, Neu S, Nho K, Risacher S, Apostolova L, Shen L, Foroud T, Nudelman K, Faber K, Wilmes K, Thal L, Silbert L, Lind B, Crissey R, Kaye J, Carter R, Dolen S, Quinn J, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Ziolkowski J, Heidebrink J, Zbizek-Nulph L, Lord J, Mason S, Albers C, Knopman D, Johnson K, Villanueva-Meyer J, Pavlik V, Pacini N, Lamb A, Kass J, Doody R, Shibley V, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Mintz A, Ances B, Winkfield D, Carroll M, Stobbs-Cucchi G, Oliver A, Creech M, Mintun M, Schneider S, Geldmacher D, Love M, Griffith R, Clark D, Brockington J, Marson D, Grossman H, Goldstein M, Greenberg J, Mitsis E, Shah R, Lamar M, Samuels P, Duara R, Greig-Custo M, Rodriguez R, Albert M, Onyike C, Farrington L, Rudow S, Brichko R, Kielb S, Smith A, Raj B, Fargher K, Sadowski M, Wisniewski T, Shulman M, Faustin A, Rao J, Castro K, Ulysse A, Chen S, Sheikh M, Singleton-Garvin J, Doraiswamy P, Petrella J, James O, Wong T, Borges-Neto S, Karlawish J, Wolk D, Vaishnavi S, Clark C, Arnold S, Smith C, Jicha G, Raslau F, Lopez O, Oakley M, Simpson D, Porsteinsson A, Martin K, Kowalski N, Keltz M, Goldstein B, Makino K, Ismail M, Brand C, Thai G, Pierce A, Yanez B, Sosa E, Witbracht M, Kelley B, Nguyen T, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Hajjar I, Cellar J, Burns J, Swerdlow R, Brooks W, Silverman D, Kremen S, Apostolova L, Tingus K, Lu P, Bartzokis G, Woo E, Teng E, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van C, Mecca A, Good S, MacAvoy M, Carson R, Varma P, Chertkow H, Vaitekunis S, Hosein C, Black S, Stefanovic B, Heyn C, Hsiung G, Kim E, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternak S, Rachinsky I, Kertesz A, Drost D, Rogers J, Grant I, Muse B, Rogalski E, Robson J, Mesulam M, Kerwin D, Wu C, Johnson N, Lipowski K, Weintraub S, Bonakdarpour B, Pomara N, Hernando R, Sarrael A, Rosen H, Miller B, Perry D, Turner R, Johnson K, Reynolds B, MCCann K, Poe J, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Belden C, Atri A, Clark K, Zamrini E, Sabbagh M, Killiany R, Stern R, Mez J, Kowall N, Budson A, Obisesan T, Ntekim O, Wolday S, Khan J, Nwulia E, Nadarajah S, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Maillard P, Olichney J, Carmichael O, Bates V, Capote H, Rainka M, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Burke A, Scharre D, Kataki M, Tarawneh R, Hart D, Zimmerman E, Celmins D, Miller D, BolesPonto L, Smith K, Koleva H, Shim H, Nam K, Schultz S, Williamson J, Craft S, Cleveland J, Yang M, Sink K, Ott B, Drake J, Tremont G, Daiello L, Drake J, Ritter A, Bernick C, Munic D, O'Connelll A, Mintzer J, Wiliams A, Masdeu J, Shi J, Garcia A, Newhouse P, Potkin S, Salloway S, Malloy P, Correia S, Kittur S, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Relkin N, Chiang G, Lee A, Lin M, Ravdin L, Petersen R, Neylan T, Grafman J, Danowski S, Nguyen-Barrera C, Hayes J, Finley S, Bernstein M, Senjem M, Foster N, Kim S, Sood A, Blanchard K, Fleischman D, Arfanakis K, Varon D, Greig M, Petrella J, Goldstein B, Martin K, Reist C, Sadowsky C, Martinez W, Villena T, Rosen H, Marshall G, Peskind E, Petrie E, Li G, Mackin S, Jimenez-Maggiora G, Drake E, Donohue M, Nelson C, Bickford D, Butters M, Zmuda M, Reyes D, Faber K, Nudelman K, Au Y, Scherer K, Catalinotto D, Stark S, Ong E, Fernandez D. Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data. EBioMedicine 2023, 97: 104820. PMID: 37806288, PMCID: PMC10579282, DOI: 10.1016/j.ebiom.2023.104820.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlzheimer DiseaseCognitive DysfunctionDeep LearningHumansLipidsMagnetic Resonance ImagingMetabolomeNeuroimagingSupervised 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 ResearchMeSH KeywordsBiomarkersBipolar DisorderBrainHumansMagnetic Resonance ImagingPhenotypePsychotic DisordersSchizophreniaConceptsPsychosis biotypesPsychosis casesBrain-based biomarkersLogistic regression modelsT1-weighted imagesBipolar-Schizophrenia NetworkHealthy controlsDisease neurobiologyPsychotic disordersClinical diagnosisStructural MRIBrain structuresGrey matter density mapsDSM diagnosesEvidence of specificityAbove-chance classification accuracyPeripheral 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 ResearchMeSH KeywordsBrainBrain MappingCognitionDefault Mode NetworkHumansInflammationMagnetic Resonance ImagingPsychotic DisordersSchizophreniaConceptsResting-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 implicationsAssociation Between False Memories and Delusions in Alzheimer Disease
McLachlan E, Ocal D, Burgess N, Reeves S, Howard R, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Perrin R, Shaw L, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, González H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Perrin R, Ryan L, Silverberg N, Fleisher A, Truran Sacrey D, Fockler J, Conti C, Veitch D, Neuhaus J, Jin C, Nosheny R, Ashford M, Flenniken D, Kormos A, Montine T, Rafii M, Raman R, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Cabrera Y, Walter S, Miller G, Coker G, Clanton T, Hergesheimer L, Smith S, Adegoke O, Mahboubi P, Moore S, Pizzola J, Shaffer E, Sloan B, Harvey D, Forghanian-Arani A, Borowski B, Ward C, Schwarz C, Jones D, Gunter J, Kantarci K, Senjem M, Vemuri P, Reid R, Fox N, Malone I, Thompson P, Thomopoulos S, Nir T, Jahanshad N, DeCarli C, Knaack A, Fletcher E, Tosun-Turgut D, Rossi Chen S, Choe M, Crawford K, Yushkevich P, Das S, Koeppe R, Reiman E, Chen K, Mathis C, Landau S, Cairns N, Householder E, Franklin E, Bernhardt H, Taylor-Reinwald L, Korecka M, Figurski M, Neu S, Nho K, Risacher S, Apostolova L, Shen L, Foroud T, Nudelman K, Faber K, Wilmes K, Thal L, Silbert L, Lind B, Crissey R, Kaye J, Carter R, Dolen S, Quinn J, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Ziolkowski J, Heidebrink J, Zbizek-Nulph L, Lord J, Mason S, Albers C, Knopman D, Johnson K, Villanueva-Meyer J, Pavlik V, Pacini N, Lamb A, Kass J, Doody R, Shibley V, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Mintz A, Ances B, Winkfield D, Carroll M, Stobbs-Cucchi G, Oliver A, Creech M, Mintun M, Schneider S, Geldmacher D, Natelson Love M, Griffith R, Clark D, Brockington J, Marson D, Grossman H, Goldstein M, Greenber J, Mitsis E, Shah R, Lamar M, Samuels P, Duara R, Greig-Custo M, Rodriguez R, Albert M, Onyike C, Farrington L, Rudow S, Brichko R, Kielb S, Smith A, Ashok Raj B, Fargher K, Sadowski M, Wisniewski T, Shulman M, Faustin A, Rao J, Castro K, Ulysse A, Chen S, Sheikh M, Singleton-Garvin J, Murali Doraiswamy P, Petrella J, James O, Wong T, Borges-Neto S, Karlawish J, Wolk D, Vaishnavi S, Clark C, Arnold S, Smith C, Jicha G, El Khouli R, Raslau F, Lopez O, Oakley M, Simpson D, Porsteinsson A, Martin K, Kowalski N, Keltz M, Goldstein B, Makino K, Seleem Ismail M, Brand C, Thai G, Pierce A, Yanez B, Sosa E, Witbracht M, Kelley B, Nguyen T, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Hajjar I, Cellar J, Burns J, Swerdlow R, Brooks W, Silverman D, Kremen S, Apostolova L, Tingus K, Lu P, Bartzokis G, Woo E, Teng E, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van Dyck C, Mecca A, Good S, MacAvoy M, Carson R, Varma P, Chertkow H, Vaitekunis S, Hosein C, Black S, Stefanovic B, Heyn C, Robin Hsiung G, Kim E, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternak S, Rachinsky I, Kertesz A, Drost D, Rogers J, Grant I, Muse B, Rogalski E, Robson J, Marsel Mesulam M, Kerwin D, Wu C, Johnson N, Liposki K, Weintraub S, Bonakdarpour B, Pomara N, Hernando R, Sarrael A, Rosen H, Miller B, Perry D, Scott Turner R, Johnson K, Reynolds B, McCann K, Poe J, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Belden C, Atri A, Clark K, Zamrini E, Sabbagh M, Killiany R, Stern R, Mez J, Kowall N, Budson A, Obisesan T, Ntekim O, Wolday S, Khan J, Nwulia E, Nadarajah S, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Maillard P, Olichney J, Carmichael O, Bates V, Capote H, Rainka M, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Burke A, Scharre D, Kataki M, Tarawneh R, Hart D, Zimmerman E, Celmins D, Miller D, Boles L, Ekstam Smith K, Koleva H, Shim H, Won Nam K, Schultz S, Williamson J, Craft S, Cleveland J, Yang M, Sink K, Ott B, Drake J, Tremont G, Daielllo L, Ritter A, Bernick C, Munic D, O'Connelll A, Mintzer J, Wiliams A, Masdeu J, Shi J, Garcia A, Newhouse P, Potkin S, Salloway S, Malloy P, Correia S, Kittur S, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Relkin N, Chiang G, Lin M, Ravdin L, Lee A, Neylan T, Grafman J, Danowski S, Nguyen-Barrera C, Hayes J, Finley S, Bernstein M, Foster N, Kim S, Sood A, Blanchard K, Arfanakis K, Fleischman D, Varon D, Reist C, Sadowsky C, Martinez W, Villena T, Peskind E, Petrie E, Li G, Mackin S, Drake E, Nelson C, Bikford D, Butters M, Zmuda M, Reyes D, Ho Au Y, Scherer K, Catalinotto D, Stark S, Ong E, Fernandez D. Association Between False Memories and Delusions in Alzheimer Disease. JAMA Psychiatry 2023, 80: 700-709. PMID: 37223934, PMCID: PMC10209823, DOI: 10.1001/jamapsychiatry.2023.1012.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlzheimer DiseaseCognitive DysfunctionCross-Sectional StudiesDelusionsFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingConceptsRey Auditory Verbal Learning TestFalse recognitionFalse memoriesRegional brain volumesWhole-brain voxel-based morphometry analysisAuditory Verbal Learning TestAlzheimer's Disease Neuroimaging InitiativeDisease Assessment ScalePresence of delusionsBrain regionsVerbal Learning TestFusiform gyrus volumeFalse recognition scoresHippocampal volumeLower regional brain volumesVoxel-based morphometry analysisCross-sectional studyDisease Neuroimaging InitiativeLogistic regression modelingSame brain regionsBrain volumeAlzheimer's diseaseLearning TestRight hippocampal volumeDelusion formationMulti-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 analysisEvaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification
Rokham H, Falakshahi H, Fu Z, Pearlson G, Calhoun V. Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification. Human Brain Mapping 2023, 44: 3180-3195. PMID: 36919656, PMCID: PMC10171526, DOI: 10.1002/hbm.26273.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceBrainDeep LearningHumansMagnetic Resonance ImagingPsychotic DisordersReproducibility of ResultsConceptsDynamic functional network connectivityFunctional network connectivityDSM-IVFMRI-based measuresResting-state fMRI dataBiomarker-based approachPsychosis disordersClinical courseBipolar-Schizophrenia NetworkClinical evaluationSymptomatic measuresHealthy controlsPsychotic illnessHealthy individualsNeurological observationsMental disordersReliability of diagnosisStatistical group differencesMental healthNeuroimaging techniquesStatistical ManualDiagnostic problemsGroup differencesIntermediate phenotypesDisordersAnatomically interpretable deep learning of brain age captures domain-specific cognitive impairment
Yin C, Imms P, Cheng M, Amgalan A, Chowdhury N, Massett R, Chaudhari N, Chen X, Thompson P, Bogdan P, Irimia A, Initiative T, Weiner M, Aisen P, Petersen R, Weiner M, Aisen P, Petersen R, Jack C, Jagust W, Trojanowki J, Toga A, Beckett L, Green R, Saykin A, Morris J, Perrin R, Shaw L, Khachaturian Z, Carrillo M, Potter W, Barnes L, Bernard M, González H, Ho C, Hsiao J, Jackson J, Masliah E, Masterman D, Okonkwo O, Perrin R, Ryan L, Silverberg N, Fleisher A, Lilly E, Weiner M, Sacrey D, Fockler J, Conti C, Veitch D, Neuhaus J, Jin C, Nosheny R, Ashford M, Flenniken D, Kormos A, Green R, Montine T, Conti C, Petersen R, Aisen P, Rafii M, Raman R, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Cabrera Y, Walter S, Miller G, Coker G, Clanton T, Hergesheimer L, Smith S, Adegoke O, Mahboubi P, Moore S, Pizzola J, Shaffer E, Sloan B, Beckett L, Harvey D, Donohue M, Jack C, Forghanian-Arani A, Borowski B, Ward C, Schwarz C, Jones D, Gunter J, Kantarci K, Senjem M, Vemuri P, Reid R, Fox N, Malone I, Thompson P, Thomopoulos S, Nir T, Jahanshad N, DeCarli C, Knaack A, Fletcher E, Harvey D, Tosun-Turgut D, Chen S, Choe M, Crawford K, Yushkevich P, Das S, Jagust W, Koeppe R, Reiman E, Chen K, Mathis C, Landau S, Morris J, Perrin R, Cairns N, Householder E, Franklin E, Bernhardt H, Taylor-Reinwald L, Shaw L, Trojanowki J, Korecka M, Figurski M, Toga A, Crawford K, Neu S, Saykin A, Nho K, Risacher S, Apostolova L, Shen L, Foroud T, Nudelman K, Faber K, Wilmes K, Weiner M, Thal L, Khachaturian Z, Hsiao J, Silbert L, Lind B, Crissey R, Kaye J, Carter R, Dolen S, Quinn J, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Fleisher A, Ziolkowski J, Heidebrink J, Zbizek-Nulph L, Lord J, Zbizek-Nulph L, Petersen R, Mason S, Albers C, Knopman D, Johnson K, Villanueva-Meyer J, Pavlik V, Pacini N, Lamb A, Kass J, Doody R, Shibley V, Chowdhury M, Rountree S, Dang M, Stern Y, Honig L, Mintz A, Ances B, Morris J, Winkfield D, Carroll M, Stobbs-Cucchi G, Oliver A, Creech M, Mintun M, Schneider S, Geldmacher D, Love M, Griffith R, Clark D, Brockington J, Marson D, Grossman H, Goldstein M, Greenberg J, Mitsis E, Shah R, Lamar M, Samuels P, Duara R, Greig-Custo M, Rodriguez R, Albert M, Onyike C, Farrington L, Rudow S, Brichko R, Kielb S, Smith A, Raj B, Fargher K, Sadowski M, Wisniewski T, Shulman M, Faustin A, Rao J, Castro K, Ulysse A, Chen S, Sheikh M, Singleton-Garvin J, Doraiswamy P, Petrella J, James O, Wong T, Borges-Neto S, Karlawish J, Wolk D, Vaishnavi S, Clark C, Arnold S, Smith C, Jicha G, Khouli R, Raslau F, Lopez O, Oakley M, Simpson D, Porsteinsson A, Martin K, Kowalski N, Keltz M, Goldstein B, Makino K, Ismail M, Brand C, Thai G, Pierce A, Yanez B, Sosa E, Witbracht M, Kelley B, Nguyen T, Womack K, Mathews D, Quiceno M, Levey A, Lah J, Hajjar I, Cellar J, Burns J, Swerdlow R, Brooks W, Silverman D, Kremen S, Apostolova L, Tingus K, Lu P, Bartzokis G, Woo E, Teng E, Graff-Radford N, Parfitt F, Poki-Walker K, Farlow M, Hake A, Matthews B, Brosch J, Herring S, van Dyck C, Mecca A, MacAvoy M, Carson R, Varma P, Chertkow H, Vaitekunis S, Hosein C, Black S, Stefanovic B, Heyn C, Hsiung G, Kim E, Mudge B, Sossi V, Feldman H, Assaly M, Finger E, Pasternak S, Rachinsky I, Kertesz A, Drost D, Rogers J, Grant I, Muse B, Rogalski E, Robson J, Mesulam M, Kerwin D, Wu C, Johnson N, Lipowski K, Weintraub S, Bonakdarpour B, Pomara N, Hernando R, Sarrael A, Rosen H, Miller B, Perry D, Turner R, Johnson K, Reynolds B, MCCann K, Poe J, Sperling R, Johnson K, Marshall G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Belden C, Spann B, Clark K, Zamrini E, Sabbagh M, Killiany R, Stern R, Mez J, Kowall N, Budson A, Obisesan T, Ntekim O, Wolday S, Khan J, Nwulia E, Nadarajah S, Lerner A, Ogrocki P, Tatsuoka C, Fatica P, Fletcher E, Maillard P, Olichney J, DeCarli C, Carmichael O, Bates V, Capote H, Rainka M, Borrie M, Lee T, Bartha R, Johnson S, Asthana S, Carlsson C, Perrin A, Burke A, Scharre D, Kataki M, Tarawneh R, Kelley B, Hart D, Zimmerman E, Celmins D, Miller D, Ponto L, Smith K, Koleva H, Shim H, Nam K, Schultz S, Williamson J, Craft S, Cleveland J, Yang M, Sink K, Ott B, Drake J, Tremont G, Daiello L, Drake J, Sabbagh M, Ritter A, Bernick C, Munic D, Mintz A, O’Connelll A, Mintzer J, Wiliams A, Masdeu J, Shi J, Garcia A, Sabbagh M, Newhouse P, Potkin S, Salloway S, Malloy P, Correia S, Kittur S, Pearlson G, Blank K, Anderson K, Flashman L, Seltzer M, Hynes M, Santulli R, Relkin N, Chiang G, Lee A, Lin M, Ravdin L, Weiner M, Aisen P, Petersen R, Weiner M, Aisen P, Petersen R, Green R, Harvey D, Jack C, Jagust W, Morris J, Saykin A, Shaw L, Toga A, Trojanowki J, Neylan T, Grafman J, Green R, Montine T, Aisen P, Jimenez G, Donohue M, Gessert D, Salazar J, Zimmerman C, Walter S, Adegoke O, Mahboubi P, Danowski S, Coker G, Clanton T, Pizzola J, Shaffer E, Nguyen-Barrera C, Neylan T, Hayes J, Finley S, Harvey D, Donohue M, Jack C, Bernstein M, Borowski B, Gunter J, Senjem M, Kantarci K, Ward C, Tosun-Turgut D, Chen S, Landau S, Koeppe R, Foster N, Reiman E, Chen K, Morris J, Perrin R, Franklin E, Shaw L, Trojanowki J, Korecka M, Figurski M, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Potkin S, Shen L, Faber K, Kim S, Nho K, Wilmes K, Schneider L, Pawluczyk S, Becerra M, Teodoro L, Dagerman K, Spann B, Brewer J, Vanderswag H, Fleisher A, Stern Y, Honig L, Mintz A, Shah R, Sood A, Blanchard K, Fleischman D, Arfanakis K, Duara R, Varon D, Greig M, Doraiswamy P, Petrella J, James O, Borges-Neto S, Wong T, Porsteinsson A, Martin K, Thai G, Pierce A, Reist C, Yanez B, Sosa E, Witbracht M, Sadowsky C, Martinez W, Villena T, Rosen H, Perry D, Turner R, Johnson K, Reynolds B, MCCann K, Poe J, Sperling R, Johnson K, Marshall G, Belden C, Spann B, Clark K, Zamrini E, Sabbagh M, Obisesan T, Ntekim O, Nwulia E, Nadarajah S, Asthana S, Carlsson C, Peskind E, Petrie E, Li G, Yesavage J, Taylor J, Chao S, Coleman J, White J, Lane B, Rosen A, Tinklenberg J, Lin M, Chiang G, Ravdin L, Relkin N, O’Connelll A, Mintzer J, Wiliams A, Mackin S, Aisen P, Raman R, Jimenez-Maggiora G, Donohue M, Gessert D, Salazar J, Zimmerman C, Walter S, Adegoke O, Mahboubi P, Mackin S, Weiner M, Aisen P, Raman R, Jack C, Landau S, Saykin A, Toga A, DeCarli C, Koeppe R, Green R, Drake E, Weiner M, Aisen P, Raman R, Donohue M, Mackin S, Nelson C, Bickford D, Butters M, Zmuda M, Jack C, Bernstein M, Borowski B, Gunter J, Senjem M, Kantarci K, Ward C, Reyes D, Koeppe R, Landau S, Toga A, Crawford K, Neu S, Saykin A, Foroud T, Faber K, Nho K, Nudelman K, Mackin S, Rosen H, Nelson C, Bickford D, Au Y, Scherer K, Catalinotto D, Stark S, Ong E, Fernandez D, Butters M, Zmuda M, Lopez O, Oakley M, Simpson D. Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2214634120. PMID: 36595679, PMCID: PMC9926270, DOI: 10.1073/pnas.2214634120.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlzheimer DiseaseBrainCognitive DysfunctionDeep LearningHumansMagnetic Resonance ImagingConceptsChronological ageDomain-specific cognitive impairmentConvolutional neural networkCognitive impairmentBrain age estimatesExecutive functionNeurocognitive measuresNeurocognitive trajectoriesMild cognitive impairmentBrain ageNormal participantsCognitive declineCN individualsSymptom severityMagnetic resonance imagesCN participantsNeuroanatomic changesDeep learning modelsIndependent samplesBrain agingIndividual patternsParticipantsLearning modelImpairmentIndividuals
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 structuresDisordersCharacterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression
Wen J, Fu C, Tosun D, Veturi Y, Yang Z, Abdulkadir A, Mamourian E, Srinivasan D, Skampardoni I, Singh A, Nawani H, Bao J, Erus G, Shou H, Habes M, Doshi J, Varol E, Mackin R, Sotiras A, Fan Y, Saykin A, Sheline Y, Shen L, Ritchie M, Wolk D, Albert M, Resnick S, Davatzikos C, 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, 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, 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, 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, Geldmacher D, Brockington J, Roberson E, Grossman H, Mitsis E, deToledo-Morrell L, Shah R, Duara R, Varon D, Greig M, Roberts P, Albert M, Onyike C, DAgostino II D, Kielb S, Galvin J, Pogorelec D, Cerbone B, Michel C, Rusinek H, Leon M, Glodzik L, 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, Mathews D, Quiceno M, Arrastia R, King R, Weiner M, Cook K, DeVous M, Levey A, Lah J, Cellar J, Burns J, Anderson H, Swerdlow R, Apostolova L, Tingus K, Woo E, Silverman D, Lu P, Bartzokis G, 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, 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, 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 D, Johnson S, Asthana S, Carlsson C, Potkin S, Preda A, Nguyen D, Tariot P, 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, Drost D, Pomara N, Hernando R, Sarrael A, Schultz S, Ponto L, Shim H, Smith K, Relkin N, Chaing G, Raudin L, Smith A, Fargher K, Raj B. Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression. JAMA Psychiatry 2022, 79: 464-474. PMID: 35262657, PMCID: PMC8908227, DOI: 10.1001/jamapsychiatry.2022.0020.Peer-Reviewed Original ResearchMeSH KeywordsAlzheimer DiseaseBrainCognitionDepressionDepressive Disorder, MajorFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleNeuroimagingConceptsLate-life depressionHealthy control individualsClinical symptomsSubset of individualsControl individualsGray matter brain volumeWidespread brain atrophyWhite matter fractional anisotropyMajor depressive disorderHigher depression severityGenetic profileBrain atrophyClinical outcomesClinical manifestationsDepressive disorderPossible disease mechanismsMAIN OUTCOMEBrain agingGeneral populationDepression severityMulticenter consortiumBrain volumeCognitive impairmentMulticenter sampleAlzheimer's disease
2020
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA
Radua J, Vieta E, Shinohara R, Kochunov P, Quidé Y, Green M, Weickert C, Weickert T, Bruggemann J, Kircher T, Nenadić I, Cairns M, Seal M, Schall U, Henskens F, Fullerton J, Mowry B, Pantelis C, Lenroot R, Cropley V, Loughland C, Scott R, Wolf D, Satterthwaite T, Tan Y, Sim K, Piras F, Spalletta G, Banaj N, Pomarol-Clotet E, Solanes A, Albajes-Eizagirre A, Canales-Rodríguez E, Sarro S, Di Giorgio A, Bertolino A, Stäblein M, Oertel V, Knöchel C, Borgwardt S, du Plessis S, Yun J, Kwon J, Dannlowski U, Hahn T, Grotegerd D, Alloza C, Arango C, Janssen J, Díaz-Caneja C, Jiang W, Calhoun V, Ehrlich S, Yang K, Cascella N, Takayanagi Y, Sawa A, Tomyshev A, Lebedeva I, Kaleda V, Kirschner M, Hoschl C, Tomecek D, Skoch A, van Amelsvoort T, Bakker G, James A, Preda A, Weideman A, Stein D, Howells F, Uhlmann A, Temmingh H, López-Jaramillo C, Díaz-Zuluaga A, Fortea L, Martinez-Heras E, Solana E, Llufriu S, Jahanshad N, Thompson P, Turner J, van Erp T, collaborators E, Glahn D, Pearlson G, Hong E, Krug A, Carr V, Tooney P, Cooper G, Rasser P, Michie P, Catts S, Gur R, Gur R, Yang F, Fan F, Chen J, Guo H, Tan S, Wang Z, Xiang H, Piras F, Assogna F, Salvador R, McKenna P, Bonvino A, King M, Kaiser S, Nguyen D, Pineda-Zapata J. Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA. NeuroImage 2020, 218: 116956. PMID: 32470572, PMCID: PMC7524039, DOI: 10.1016/j.neuroimage.2020.116956.Peer-Reviewed Original Research
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 treatmentType 2 diabetes mellitus, brain atrophy, and cognitive decline.
Moran C, Beare R, Wang W, Callisaya M, Srikanth V, 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, McAdams-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. Type 2 diabetes mellitus, brain atrophy, and cognitive decline. Neurology 2019, 92: e823-e830. PMID: 30674592, PMCID: PMC7987953, DOI: 10.1212/wnl.0000000000006955.Peer-Reviewed Original ResearchConceptsBaseline cortical thicknessType 2 diabetes mellitusCortical thicknessCognitive declineAlzheimer's diseaseCognitive functionDiabetes mellitusCerebrovascular disease burdenGlucose-lowering agentsPresence of T2DMLower cortical thicknessLongitudinal relationshipAlzheimer's Disease Neuroimaging Initiative (ADNI) cohortMild cognitive impairmentStudy entryBrain atrophyBlood glucoseDisease burdenInitiative cohortT2DMBrain MRICognitive impairmentNormal cognitionRelevant covariatesOlder people