Cargando…
Using genetic, cognitive and multi-modal neuroimaging data to identify ultra-high-risk and first-episode psychosis at the individual level
BACKGROUND: Group-level results suggest that relative to healthy controls (HCs), ultra-high-risk (UHR) and first-episode psychosis (FEP) subjects show alterations in neuroanatomy, neurofunction and cognition that may be mediated genetically. It is unclear, however, whether these groups can be differ...
Autores principales: | Pettersson-Yeo, W., Benetti, S., Marquand, A. F., Dell‘Acqua, F., Williams, S. C. R., Allen, P., Prata, D., McGuire, P., Mechelli, A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821374/ https://www.ncbi.nlm.nih.gov/pubmed/23507081 http://dx.doi.org/10.1017/S003329171300024X |
Ejemplares similares
-
Using Structural Neuroimaging to Make Quantitative Predictions of Symptom Progression in Individuals at Ultra-High Risk for Psychosis
por: Tognin, Stefania, et al.
Publicado: (2014) -
An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine
por: Pettersson-Yeo, William, et al.
Publicado: (2014) -
Elucidating neuroanatomical alterations in the at risk mental state and first episode psychosis: A combined voxel-based morphometry and voxel-based cortical thickness study()
por: Benetti, Stefania, et al.
Publicado: (2013) -
Pattern classification of brain activation during emotional processing in subclinical depression: psychosis proneness as potential confounding factor
por: Modinos, Gemma, et al.
Publicado: (2013) -
Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data
por: Valli, Isabel, et al.
Publicado: (2016)