Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

Cognitive impairment is a feature of many psychiatric diseases. Here the authors aimed to identify multimodal neuromarkers that can be used to quantify and predict cognitive performance in individuals with schizophrenia using three different features of MRI and three independent cohorts.

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Detalles Bibliográficos
Autores principales: Jing Sui, Shile Qi, Theo G. M. van Erp, Juan Bustillo, Rongtao Jiang, Dongdong Lin, Jessica A. Turner, Eswar Damaraju, Andrew R. Mayer, Yue Cui, Zening Fu, Yuhui Du, Jiayu Chen, Steven G. Potkin, Adrian Preda, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Daniel S. O’Leary, Agnes McMahon, Tianzi Jiang, Vince D. Calhoun
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Science
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Acceso en línea:https://doaj.org/article/d774852e00fe40de9fd00e3eb900f16d
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Descripción
Sumario:Cognitive impairment is a feature of many psychiatric diseases. Here the authors aimed to identify multimodal neuromarkers that can be used to quantify and predict cognitive performance in individuals with schizophrenia using three different features of MRI and three independent cohorts.

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