Investigating brain structural patterns in first episode psychosis and schizophrenia using MRI and a machine learning approach

In this study, we employed the Maximum Uncertainty Linear Discriminant Analysis (MLDA) to investigate whether the structural brain patterns in first episode psychosis (FEP) patients would be more similar to patients with chronic schizophrenia (SCZ) or healthy controls (HC), from a schizophrenia model perspective. Brain regions volumetric data were estimated by using MRI images of SCZ and FEP patients and HC. First, we evaluated the MLDA performance in discriminating SCZ from controls, which provided a score based on a model for changes in brain structure in SCZ.

Source: Psychiatry Research: Neuroimaging - March 6, 2018 Category: Psychiatry Authors: Adriana Miyazaki de Moura, Walter Hugo Lopez Pinaya, Ary Gadelha, Andr é Zugman, Cristiano Noto, Quirino Cordeiro, Sintia Iole Belangero, Andrea P. Jackowski, Rodrigo A. Bressan, João Ricardo Sato Source Type: research