Predicting individual improvement in schizophrenia symptom severity at 1‐year follow‐up: Comparison of connectomic, structural, and clinical predictors

In a machine learning setting, this study aims to compare the prognostic utility of connectomic, brain structural, and clinical/demographic predictors of individual change in symptom severity in individuals with schizophrenia. Symptom severity at baseline and 1‐year follow‐up was assessed in 30 indi...

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Detalhes bibliográficos
Publicado no:Hum Brain Mapp
Main Authors: Kottaram, Akhil, Johnston, Leigh A., Tian, Ye, Ganella, Eleni P., Laskaris, Liliana, Cocchi, Luca, McGorry, Patrick, Pantelis, Christos, Kotagiri, Ramamohanarao, Cropley, Vanessa, Zalesky, Andrew
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley & Sons, Inc. 2020
Assuntos:
Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7375115/
https://ncbi.nlm.nih.gov/pubmed/32469448
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.25020
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