2024
Neurostructural 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 1Subgroups
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
2018
Statistical tests and identifiability conditions for pooling and analyzing multisite datasets
Zhou H, Singh V, Johnson S, Wahba G, Fleisher A, Preda A, Pierce A, Mintz A, Lerner A, Norbash A, Levey A, Rosen A, Smith A, Ulysse A, Budson A, Saykin A, Kertesz A, Oliver A, Hake A, Burke A, Furst A, Sarrael A, Porsteinsson A, Toga A, Lamb A, Lee A, Raj B, Lane B, Yanez B, Ances B, Mudge B, Lind B, Stefanovic B, Goldstein B, Goldstein B, Bonakdarpour B, Matthews B, Borowski B, Ott B, Reynolds B, Miller B, Spann B, Sadowsky C, Ward C, Bernick C, Smith C, Mathis C, Onyike C, Heyn C, Hosein C, Leach C, Belden C, van Dyck C, Clark C, Wu C, Jack C, Albers C, Brand C, Bodge C, Nelson C, Tatsuoka C, Carlsson C, Mathews D, Nguyen D, Catalinotto D, D’Agostino D, Silverman D, Marson D, Varon D, Harvey D, Fernandez D, Wolk D, Bachman D, Bickford D, Clark D, Geldmacher D, Hart D, Holtzman D, Jones D, Knopman D, Perry D, Winkfield D, Fleischman D, Miller D, Reyes D, Gessert D, Gessert D, Kerwin D, Drost D, Massoglia D, Simpson D, Munic D, Scharre D, Celmins D, Zimmerman E, Teng E, Coleman E, Zamrini E, Mitsis E, Peskind E, Lilly E, Ong E, Finger E, Oates E, Shaffer E, Sosa E, Woo E, Rogalski E, Petrie E, Reiman E, Drake E, Franklin E, Householder E, Fletcher E, Parfitt F, Hefti F, Thai G, Marshall G, Marshall G, Li G, Conrad G, Tremont G, Bartzokis G, Hsiung G, Chiang G, Pearlson G, Jicha G, Sorensen G, Jimenez G, Vanderswag H, Grossman H, Capote H, Bergman H, Chertkow H, Feldman H, Fillit H, Rosen H, Rosen H, Koleva H, Shim H, Rachinsky I, Fruehling J, Mintzer J, Hayes J, Ziolkowski J, Brewer J, Lah J, Singleton-Garvin J, Cellar J, Brosch J, Tinklenberg J, Karlawish J, Villanueva-Meyer J, Gunter J, Kaye J, Burns J, Petrella J, Salazar J, Yesavage J, Yesavage J, Allard J, Lord J, Hetelle J, Brockington J, Morris J, Hsiao J, Morris J, Olichney J, Trojanowki J, Rogers J, Grafman J, Quinn J, Kass J, Taylor J, Heidebrink J, Anderson K, Blank K, Crawford K, Smith K, Bell K, Friedl K, Johnson K, Tingus K, DeMarco K, Sink K, Johnson K, Kantarci K, Faber K, Faber K, Behan K, Harless K, Makino K, Nudelman K, Scherer K, Spicer K, Chen K, Nam K, Martin K, Poki-Walker K, Martin K, Arfanakis K, Johnson K, Fargher K, Lipowski K, Nho K, Womack K, Flashman L, Beckett L, Honig L, Thal L, Thal L, Shaw L, Kuller L, Shen L, Apostolova L, Teodoro L, Hergesheimen L, Hergesheimer L, Silbert L, Ravdin L, Taylor-Reinwald L, Schneider L, Daiello L, Mesulam M, Ismail M, Korecka M, Raichle M, Seltzer M, Mesulam M, Carrillo M, Carroll M, Kataki M, Greig M, Greig-Custo M, Albert M, Love M, Mintun M, Farlow M, Sadowski M, Sabbagh M, Creech M, Hynes M, Quiceno M, Oakley M, Senjem M, Bernstein M, Becerra M, Witbracht M, Keltz M, Lamar M, Butters M, Yang M, Borrie M, Donohue M, Lin M, Weiner M, Weiner M, Figurski M, Assaly M, Rainka M, Zmuda M, Donohue M, Dang M, Sheikh M, Gaikwad M, Chowdhury M, Trncic N, Johnson N, Kowalksi N, Pacini N, Buckholtz N, Kowall N, Graff-Radford N, Fox N, Cairns N, Schuff N, Foster N, Relkin N, Oyonumo N, Pomara N, Brawman-Mintzer O, James O, Ogunlana O, Lopez O, Carmichael O, Doraiswamy P, Fatica P, Johnson P, Samuels P, Aisen P, Malloy P, Thompson P, Ogrocki P, Maillard P, Davies P, Hardy P, Snyder P, Snyder P, Tariot P, Lu P, Varma P, Vemuri P, Doody R, Carter R, Shah R, Griffith R, Yeh R, Duara R, Tarawneh R, Turner R, Hernando R, Sperling R, Raman R, Carson R, Frank R, El Khouli R, Bartha R, Koeppe R, Santulli R, Green R, Killiany R, Petersen R, Rodriguez R, Swerdlow R, Wolday S, Borges-Neto S, Stark S, Jacobson S, Black S, Harding S, Weintraub S, Asthana S, Vaishnavi S, Dolen S, Mason S, Kremen S, Walter S, Herring S, Mackin S, Neu S, Finley S, Sirrel S, Kittur S, Pawluczyk S, Schneider S, Kielb S, Reeder S, Correia S, Pasternack S, Pasternak S, Salloway S, Johnson S, Johnson S, Chao S, Arnold S, Potkin S, Paul S, Potkin S, Kim S, Schultz S, Landau S, Rountree S, Foroud T, Wong T, Villena T, Neylan T, Obisesan T, Montine T, Lee T, Pavlik V, Bates V, Logovinsky V, Sossi V, Shibley V, Lee V, Martinez W, Jagust W, Brooks W, Pavlosky W, Potter W, Stern Y, Au Y, Cabrera Y, Khachaturian Z. Statistical tests and identifiability conditions for pooling and analyzing multisite datasets. Proceedings Of The National Academy Of Sciences Of The United States Of America 2018, 115: 1481-1486. PMID: 29386387, PMCID: PMC5816202, DOI: 10.1073/pnas.1719747115.Peer-Reviewed Original Research
2012
Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia
Sui J, He H, Liu J, Yu Q, Adali T, Pearlson G, Calhoun V. Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2012, 2012: 2692-2695. PMID: 23366480, DOI: 10.1109/embc.2012.6346519.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlgorithmsFemaleHumansMagnetic Resonance ImagingMaleMultivariate AnalysisSchizophreniaYoung AdultConceptsMulti-set canonical correlation analysisData fusionMulti-modal fusionDisparate data setsMultiple data typesJoint independent component analysisData typesFusion modelJoint informationData setsIndependent component analysisHigher decomposition accuracyEffective mannerCanonical correlation analysisDecomposition accuracyLimited viewEffective approachPromising approachBiomedical imagingFusionComponent analysisAccuracyIllness biomarkersInformationSet
2000
A weighted least‐squares algorithm for estimation and visualization of relative latencies in event‐related functional MRI
Calhoun V, Adalı T, Kraut M, Pearlson G. A weighted least‐squares algorithm for estimation and visualization of relative latencies in event‐related functional MRI. Magnetic Resonance In Medicine 2000, 44: 947-954. PMID: 11108633, DOI: 10.1002/1522-2594(200012)44:6<947::aid-mrm17>3.0.co;2-5.Peer-Reviewed Original Research
1991
User-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