Detection of formal thought disorders in child and adolescent psychosis using machine learning and neuropsychometric data
This study demonstrates the feasibility of using neuropsychological tests and machine learning to identify FTD in early-onset psychosis. Early identification of FTD may facilitate targeted interventions and improve clinical outcomes. Further research is needed to validate these findings in larger, more diverse populations and to explore the underlying neurocognitive mechanisms.
Authors
- Barbara Remberk (ORCID: https://orcid.org/0000-0001-7776-009X)
- Zuzanna Wisniewska
- Maksymilian Aleksander Brzezicki (ORCID: https://orcid.org/0000-0002-0079-4934)
- Sojeong Kim (ORCID: https://orcid.org/0000-0003-4970-4116)
- Przemyslaw Temistokles Zakowicz (ORCID: https://orcid.org/0000-0003-4114-7116)
- Charalampos Levidiotis
- Oskar Wejkuć
- Dominika Biernaczyk
Institutions
- Poznan University of Medical Sciences (PL)
- University of Oxford (GB)
- Institute of Psychiatry and Neurology (PL)
- University of Zielona Góra (PL)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-03-17
- DOI
- https://doi.org/10.3389/fpsyt.2025.1550571
- Citations
- 4
- Primary Topic
- Personality Disorders and Psychopathology
- Type
- article
- Field-Weighted Citation Impact
- 9.23