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Neuroanatomical Classification in a Population-Based Sample of Psychotic Major Depression and Bipolar I Disorder with 1 Year of Diagnostic Stability

Serpa, Mauricio H. ; Ou, Yangming ; Schaufelberger, Maristela S. ; Doshi, Jimit ; Ferreira, Luiz K. ; Machado-Vieira, Rodrigo ; Menezes, Paulo R. ; Scazufca, Marcia ; Davatzikos, Christos ; Busatto, Geraldo F. ; Zanetti, Marcus V. Sweeney, John A.

BioMed research international, 2014-01, Vol.2014, p.706157-9 [Periódico revisado por pares]

United States: Hindawi Publishing Corporation

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Título:
Neuroanatomical Classification in a Population-Based Sample of Psychotic Major Depression and Bipolar I Disorder with 1 Year of Diagnostic Stability
Autor: Serpa, Mauricio H. ; Ou, Yangming ; Schaufelberger, Maristela S. ; Doshi, Jimit ; Ferreira, Luiz K. ; Machado-Vieira, Rodrigo ; Menezes, Paulo R. ; Scazufca, Marcia ; Davatzikos, Christos ; Busatto, Geraldo F. ; Zanetti, Marcus V.
Sweeney, John A.
Assuntos: Accuracy ; Adult ; Bipolar disorder ; Bipolar Disorder - classification ; Bipolar Disorder - diagnostic imaging ; Bipolar Disorder - pathology ; Care and treatment ; Classification ; Depressive Disorder, Major - classification ; Depressive Disorder, Major - diagnostic imaging ; Depressive Disorder, Major - pathology ; Diagnosis ; Discrimination ; Emotional disorders ; Female ; Humans ; Laboratories ; Magnetic Resonance Imaging - methods ; Major depressive disorder ; Male ; Medicine ; Methods ; Nuclear medicine ; Population ; Psychiatry ; Psychopharmacology ; Radiography ; Risk factors ; Schizophrenia ; Studies
É parte de: BioMed research international, 2014-01, Vol.2014, p.706157-9
Notas: ObjectType-Article-1
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Academic Editor: John A. Sweeney
Descrição: 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.
Editor: United States: Hindawi Publishing Corporation
Idioma: Inglês

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Neuroanatomical Classification in a Population-Based Sample of Psychotic Major Depression and Bipolar I Disorder with 1 Year of Diagnostic Stability

Serpa, Mauricio H. ; Ou, Yangming ; Schaufelberger, Maristela S. ; Doshi, Jimit ; Ferreira, Luiz K. ; Machado-Vieira, Rodrigo ; Menezes, Paulo R. ; Scazufca, Marcia ; Davatzikos, Christos ; Busatto, Geraldo F. ; Zanetti, Marcus V. Sweeney, John A.

United States: Hindawi Publishing Corporation

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