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

BioMed Research International

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

Medicine

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