Gutman, Boris Avan Erp, Theo G MAlpert, KathrynChing, Christopher R KIsaev, DmitryRagothaman, AnjaniJahanshad, NedaSaremi, ArvinZavaliangos-Petropulu, ArtemisGlahn, David CShen, LiCong, ShanAlnaes, DagAndreassen, Ole AndreasDoan, Nhat TrungWestlye, Lars TKochunov, PeterSatterthwaite, Theodore DWolf, Daniel HHuang, Alexander JKessler, CharlesWeideman, AndreaNguyen, DanaMueller, Bryon AFaziola, LawrencePotkin, Steven GPreda, AdrianMathalon, Daniel HBustillo, JuanCalhoun, VinceFord, Judith MWalton, EstherEhrlich, StefanDucci, GiuseppeBanaj, NerisaPiras, FabrizioPiras, FedericaSpalletta, GianfrancoCanales-Rodriguez, Erick JFuentes-Claramonte, PaolaPomarol-Clotet, EdithRadua, JoaquimSalvador, RaymondSarró, SalvadorDickie, Erin WVoineskos, AristotleTordesillas-Gutierrez, DianaCrespo-Facorro, BenedictoSetien-Suero, EstherMayoral-van-Son, JacquelineBorgwardt, StefanSchönborn-Harrisberger, FabienneMorris, DerekDonohoe, GaryHolleran, LaurenaCannon, DaraMcDonald, ColmCorvin, AidenGill, MichaelFilho, Geraldo BusattoRosa, Pedro G PSerpa, Mauricio HZanetti, Marcus VLebedeva, IrinaKaleda, VasilyTomyshev, AlexanderCrow, TimJames, AnthonyCervenka, SimonSellgren, Carl MFatouros-Bergman, HelenaAgartz, IngridHowells, FleurStein, Dan JTemmingh, HenkUhlmann, Annede Zubicaray, Greig IMcMahon, Katie LWright, MargieCobia, DerinCsernansky, John GThompson, Paul MTurner, Jessica AWang, Lei2023-02-092023-02-092021-12-16Gutman BA, van Erp TGM, Alpert K, Ching CRK, Isaev D, Ragothaman A, et al. A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium. Hum Brain Mapp. 2022 Jan;43(1):352-372.http://hdl.handle.net/10668/18501Schizophrenia is associated with widespread alterations in subcortical brain structure. While analytic methods have enabled more detailed morphometric characterization, findings are often equivocal. In this meta-analysis, we employed the harmonized ENIGMA shape analysis protocols to collaboratively investigate subcortical brain structure shape differences between individuals with schizophrenia and healthy control participants. The study analyzed data from 2,833 individuals with schizophrenia and 3,929 healthy control participants contributed by 21 worldwide research groups participating in the ENIGMA Schizophrenia Working Group. Harmonized shape analysis protocols were applied to each site's data independently for bilateral hippocampus, amygdala, caudate, accumbens, putamen, pallidum, and thalamus obtained from T1-weighted structural MRI scans. Mass univariate meta-analyses revealed more-concave-than-convex shape differences in the hippocampus, amygdala, accumbens, and thalamus in individuals with schizophrenia compared with control participants, more-convex-than-concave shape differences in the putamen and pallidum, and both concave and convex shape differences in the caudate. Patterns of exaggerated asymmetry were observed across the hippocampus, amygdala, and thalamus in individuals with schizophrenia compared to control participants, while diminished asymmetry encompassed ventral striatum and ventral and dorsal thalamus. Our analyses also revealed that higher chlorpromazine dose equivalents and increased positive symptom levels were associated with patterns of contiguous convex shape differences across multiple subcortical structures. Findings from our shape meta-analysis suggest that common neurobiological mechanisms may contribute to gray matter reduction across multiple subcortical regions, thus enhancing our understanding of the nature of network disorganization in schizophrenia.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/schizophreniastructuresubcortical shapeAmygdalaCorpus StriatumHippocampusHumansMulticenter Studies as TopicNeuroimagingSchizophreniaThalamusresearch article34498337open accessEsquizofreniaTálamoHipocampoAmígdala del cerebeloMetaanálisisGlobo pálidoPutamenEncéfaloDosificaciónClorpromazina10.1002/hbm.256251097-0193PMC8675416https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25625https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675416/pdf