Neuroanatomical Classification in a Population-Based Sample of Psychotic Major Depression and Bipolar I Disorder with 1 Year of Diagnostic Stability
Joint Authors
Scazufca, Marcia
Zanetti, Marcus V.
Schaufelberger, Maristela S.
Ferreira, Luiz K.
Serpa, Mauricio H.
Menezes, Paulo R.
Ou, Yangming
Machado-Vieira, Rodrigo
Busatto, Geraldo F.
Doshi, Jimit
Davatzikos, Christos
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The presence of psychotic features in the course of a depressive disorder is known to increase the risk for bipolarity, but the early identification of such cases remains challenging in clinical practice.
In the present study, we evaluated the diagnostic performance of a neuroanatomical pattern classification method in the discrimination between psychotic major depressive disorder (MDD), bipolar I disorder (BD-I), and healthy controls (HC) using a homogenous sample of patients at an early course of their illness.
Twenty-three cases of first-episode psychotic mania (BD-I) and 19 individuals with a first episode of psychotic MDD whose diagnosis remained stable during 1 year of followup underwent 1.5 T MRI at baseline.
A previously validated multivariate classifier based on support vector machine (SVM) was employed and measures of diagnostic performance were obtained for the discrimination between each diagnostic group and subsamples of age- and gender-matched controls recruited in the same neighborhood of the patients.
Based on T1-weighted images only, the SVM-classifier afforded poor discrimination in all 3 pairwise comparisons: BD-I versus HC; MDD versus HC; and BD-I versus MDD.
Thus, at the population level and using structural MRI only, we failed to achieve good discrimination between BD-I, psychotic MDD, and HC in this proof of concept study.
American Psychological Association (APA)
Serpa, Mauricio H.& Ou, Yangming& Schaufelberger, Maristela S.& Doshi, Jimit& Ferreira, Luiz K.& Machado-Vieira, Rodrigo…[et al.]. 2014. Neuroanatomical Classification in a Population-Based Sample of Psychotic Major Depression and Bipolar I Disorder with 1 Year of Diagnostic Stability. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-492073
Modern Language Association (MLA)
Serpa, Mauricio H.…[et al.]. Neuroanatomical Classification in a Population-Based Sample of Psychotic Major Depression and Bipolar I Disorder with 1 Year of Diagnostic Stability. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-492073
American Medical Association (AMA)
Serpa, Mauricio H.& Ou, Yangming& Schaufelberger, Maristela S.& Doshi, Jimit& Ferreira, Luiz K.& Machado-Vieira, Rodrigo…[et al.]. Neuroanatomical Classification in a Population-Based Sample of Psychotic Major Depression and Bipolar I Disorder with 1 Year of Diagnostic Stability. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-492073
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492073