Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis | Zendy

Dominik A. Moser | Zendy; Gaëlle E. Doucet | Zendy; Won Hee Lee | Zendy; Alexander Rasgon | Zendy; Hannah Krinsky | Zendy; Evan Leibu | Zendy; Alex Ing | Zendy; Günter Schumann | Zendy; Natalie Rasgon | Zendy; Sophia Frangou | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis

Author(s) -

Dominik A. Moser,

Gaëlle E. Doucet,

Won Hee Lee,

Alexander Rasgon,

Hannah Krinsky,

Evan Leibu,

Alex Ing,

Günter Schumann,

Natalie Rasgon,

Sophia Frangou

Publication year - 2018

Publication title -

jama psychiatry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.531

H-Index - 365

eISSN - 2168-6238

pISSN - 2168-622X

DOI - 10.1001/jamapsychiatry.2017.4741

Subject(s) - neuroimaging , psychosis , schizophrenia (object oriented programming) , psychology , bipolar disorder , multivariate statistics , multivariate analysis , cognition , functional magnetic resonance imaging , psychiatry , clinical psychology , medicine , neuroscience , statistics , mathematics

Alterations in multiple neuroimaging phenotypes have been reported in psychotic disorders. However, neuroimaging measures can be influenced by factors that are not directly related to psychosis and may confound the interpretation of case-control differences. Therefore, a detailed characterization of the contribution of these factors to neuroimaging phenotypes in psychosis is warranted.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research