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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375115/
https://www.ncbi.nlm.nih.gov/pubmed/32469448
http://dx.doi.org/10.1002/hbm.25020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375115/
https://www.ncbi.nlm.nih.gov/pubmed/32469448
http://dx.doi.org/10.1002/hbm.25020

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