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Normative modeling of brain morphometry in Clinical High-Risk for Psychosis.

Shalaila S HaasRuiyang GeIngrid AgartzG Paul AmmingerOle Andreas AndreassenPeter BachmanInmaculada BaezaSunah ChoiTiziano ColibazziVanessa L CropleyCamilo de la Fuente-SandovalBjørn H EbdrupAdriana ForteaPaolo Fusar-PoliBirte Yding GlenthøjLouise Birkedal GlenthøjKristen M HautRebecca A HayesKarsten HeekerenChristine I HookerWu Jeong HwangNeda JahanshadMichael KaessKiyoto KasaiNaoyuki KatagiriMinah KimJochen KindlerShinsuke KoikeTina Dam KristensenJun-Soo KwonStephen M LawrieJimmy LeeImke Lj Lemmers-JansenAshleigh LinXiaoqian MaDaniel H MathalonPhilip McGuireChantal MichelRomina MizrahiMasafumi MizunoPaul MøllerRicardo Mora-DuránBarnaby NelsonTakahiro NemotoMerete NordentoftDorte NordholmMaria A OmelchenkoChristos PantelisJose C ParienteJayachandra Mitta RaghavaFrancisco Reyes-MadrigalJan Ivar RøssbergWulf RösslerDean F SalisburyDaiki SasabayashiUlrich SchallLukasz SmigielskiGisela SugranyesMichio SuzukiTsutomu TakahashiChristian K TamnesAnastasia TheodoridouSophia I ThomopoulosPaul M ThompsonAlexander S TomyshevPeter J UhlhaasTor G VærnesTherese Amj van AmelsvoortTheo G M van ErpJames A WaltzChristina WennebergLars Tjelta WestlyeStephen J WoodJuan Helen ZhouDennis HernausMaria JalbrzikowskiRené S KahnCheryl M CorcoranSophia Frangounull null
Published in: bioRxiv : the preprint server for biology (2023)
The findings suggest the macroscale neuromorphometric measures have limited utility as diagnostic biomarkers of psychosis risk.
Keyphrases
  • resting state
  • white matter
  • functional connectivity
  • multiple sclerosis