Estimating multimodal brain variability in schizophrenia spectrum disorders: A worldwide ENIGMA study.
Wolfgang OmlorFinn RabeSimon FuchsGiacomo CecereStephanie HomanWerner SurbeckNils KallenFoivos GeorgiadisTobias SpillerErich SeifritzThomas WeickertJason BruggemannCynthia WeickertSteven PotkinRyota HashimotoKang SimKelly Rootes-MurdyYann QuidéJosselin HouenouNerisa BanajDaniela VecchioFabrizio PirasFederica PirasGianfranco SpallettaRaymond SalvadorAndriana KarukEdith Pomarol-ClotetAmanda RodrigueGodfrey PearlsonDavid GlahnDavid TomecekFilip SpanielAntonin SkochMatthias KirschnerStefan KaiserPeter V KochunovFeng-Mei FanOle Andreas AndreassenLars Tjelta WestlyePierre BerthetVince D CalhounFleur HowellsAnne UhlmannFreda SchefflerDan SteinFelice IasevoliMurray J CairnsVaughan J CarrStanley V CattsMaria A Di BiaseAssen JablenskyMelissa J GreenFrans A HenskensPaul KlauserCarmel LoughlandPatricia T MichieBryan MowryChristos PantelisPaul E RasserUlrich SchallRodney ScottAndrew ZaleskyAndrea de BartolomeisAnnarita BaroneMariateresa CiccarelliArturo BrunettiSirio CocozzaGiuseppe PontilloMario TranfaAnnabella Di GiorgioSophia I ThomopoulosNeda JahanshadPaul M ThompsonTheo van ErpJessica TurnerPhilipp HomanPublished in: bioRxiv : the preprint server for biology (2023)
Higher multimodal heterogeneity in frontotemporal regions potentially implies different subtypes of schizophrenia that converge on impaired frontotemporal interaction as a core feature of the disorder. Conversely, more homogeneous folding patterns in the left parahippocampal region might signify a consistent characteristic of schizophrenia shared across subtypes. These findings underscore the importance of structural brain variability in advancing our neurobiological understanding of schizophrenia, and aid in identifying illness subtypes as well as informative biomarkers.