M167. MACHINE LEARNING CLASSIFICATION OF FIRST-EPISODE PSYCHOSIS USING CORTICAL THICKNESS IN A LARGE MULTICENTER MRI STUDY

BACKGROUND: Machine learning classifications of first-episode psychosis (FEP) using neuroimaging have predominantly analyzed brain volumes. Some studies examined cortical thickness data, but most of them have used parcellation approaches with data from single sites, which limits claims of generaliza...

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Pubblicato in:Schizophr Bull
Autori principali: Pigoni, Alessandro, Dwyer, Dominic, Squarcina, Letizia, Borgwardt, Stefan, Crespo-Facorro, Benedicto, Dazzan, Paola, Smesny, Stefan, Spaniel, Filip, Spalletta, Gianfranco, Sanfelici, Rachele, Antonucci, Linda A, Reuf, Anne, Oeztuerk, Oemer, Schmidt, André, Ciufolini, Simone, Harrisberger, Fabienne, Langbein, Kerstin, Reichenbach, Juergen, Zaytseva, Yulia, Bellani, Marcella, Ruggeri, Mirella, Lasalvia, Antonio, Tordesillas-Gutiérrez, Diana, Koutsouleris, Nikolaos, Brambilla, Paolo
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2020
Soggetti:
Poster Session II
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7234338/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/schbul/sbaa030.479
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