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




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BioMed Research International - Volume 2014 2014, Article ID 706157, 9 pages -

Research Article

Laboratory of Psychiatric Neuroimaging LIM-21, Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Dr. Ovídio Pires de Campos Street, 3rd Floor, LIM-21, Nuclear Medicine Center, 05403-010 São Paulo, SP, Brazil

Center for Interdisciplinary Research on Applied Neurosciences NAPNA, Nuclear Medicine Center, University of São Paulo, Dr. Ovídio Pires de Campos Street, 3rd Floor, LIM-21, Nuclear Medicine Center, 05403-010 São Paulo, SP, Brazil

Section of Biomedical Image Analysis SBIA, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA

Laboratory of Neuroscience LIM-27, Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Dr. Ovídio Pires de Campos Street, 3rd Floor, LIM-27, Institute of Psychiatry, 05403-010 São Paulo, SP, Brazil

Department of Preventive Medicine, Faculty of Medicine, University of São Paulo, 455 Dr. Arnaldo Avenue, 01246-903 São Paulo, SP, Brazil

Laboratory of Psychopharmacology and Clinical Psychophysiology LIM-23, Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Dr. Ovídio Pires de Campos Street, Ground Floor, LIM-23, Institute of Psychiatry, 05403-010 São Paulo, SP, Brazil

Received 3 October 2013; Revised 10 December 2013; Accepted 10 December 2013; Published 19 January 2014

Academic Editor: John A. Sweeney

Copyright © 2014 Mauricio H. Serpa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.





Autor: Mauricio H. Serpa, Yangming Ou, Maristela S. Schaufelberger, Jimit Doshi, Luiz K. Ferreira, Rodrigo Machado-Vieira, Paulo R.

Fuente: https://www.hindawi.com/



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