Detection of formal thought disorders in child and adolescent psychosis using machine learning and neuropsychometric data

Detection of formal thought disorders in child and adolescent psychosis using machine learning and neuropsychometric data

IntroductionFormal Thought Disorder (FTD) is a significant clinical feature of early-onset psychosis, often associated with poorer outcomes. Current diagnostic methods rely on clinical assessment, which can be subjective and time-consuming. This study aimed to investigate the potential of neuropsych...

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Main Authors: Przemysław T. Zakowicz, Maksymilian A. Brzezicki, Charalampos Levidiotis, Sojeong Kim, Oskar Wejkuć, Zuzanna Wisniewska, Dominika Biernaczyk, Barbara Remberk
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Psychiatry
Subjects:
child and adolescent psychosis
machine learning
cognitive psychiatry
executive deficits
formal thought disorder
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1550571/full
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https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1550571/full

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