Your browser doesn't support javascript.
loading
Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors.
Kottaram, Akhil; Johnston, Leigh A; Tian, Ye; Ganella, Eleni P; Laskaris, Liliana; Cocchi, Luca; McGorry, Patrick; Pantelis, Christos; Kotagiri, Ramamohanarao; Cropley, Vanessa; Zalesky, Andrew.
Afiliación
  • Kottaram A; Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia.
  • Johnston LA; Melbourne Neuropsychiatry Centre, The University of Melbourne, Melbourne, Victoria, Australia.
  • Tian Y; Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia.
  • Ganella EP; Melbourne Brain Centre Imaging Unit, The University of Melbourne, Melbourne, Victoria, Australia.
  • Laskaris L; Melbourne Neuropsychiatry Centre, The University of Melbourne, Melbourne, Victoria, Australia.
  • Cocchi L; Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia.
  • McGorry P; Melbourne Neuropsychiatry Centre, The University of Melbourne, Melbourne, Victoria, Australia.
  • Pantelis C; Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia.
  • Kotagiri R; Cooperative Research Centre for Mental Health, Carlton, Victoria, Australia.
  • Cropley V; Melbourne Neuropsychiatry Centre, The University of Melbourne, Melbourne, Victoria, Australia.
  • Zalesky A; Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia.
Hum Brain Mapp ; 41(12): 3342-3357, 2020 08 15.
Article en En | MEDLINE | ID: mdl-32469448
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Esquizofrenia / Corteza Cerebral / Neuroimagen / Sustancia Gris / Aprendizaje Automático / Red en Modo Predeterminado Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Esquizofrenia / Corteza Cerebral / Neuroimagen / Sustancia Gris / Aprendizaje Automático / Red en Modo Predeterminado Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos