Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk

Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk

Machine learning approaches using structural magnetic resonance imaging (sMRI) can be informative for disease classification, although their ability to predict psychosis is largely unknown. We created a model with individuals at CHR who developed psychosis later (CHR-PS+) from healthy controls (HCs)...

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Bibliographic Details
Main Authors: Zhu, Y, Maikusa, N, Radua, J, Sämann, PG, Fusar-Poli, P, Agartz, I, Andreassen, OA, Bachman, P, Baeza, I, Chen, X, Choi, S, Corcoran, CM, Ebdrup, BH, Fortea, A, Garani, RR, Glenthøj, BY, Glenthøj, LB, Haas, SS, Hamilton, HK, Hayes, RA, He, Y, Heekeren, K, Kasai, K, Katagiri, N, McGuire, P
Format: Journal article
Language:English
Published: Springer Nature [academic journals on nature.com] 2024

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