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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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de Moura, Adriana Miyazaki [1] ; Lopez Pinaya, Walter Hugo [1] ; Gadelha, Ary [2] ; Zugman, Andre [2] ; Noto, Cristiano [2] ; Cordeiro, Quirino [2, 3] ; Belangero, Sintia Iole [4, 2] ; Jackowski, Andrea P. [2] ; Bressan, Rodrigo A. [2] ; Sato, Joao Ricardo [2, 1]
Total Authors: 10
[1] Fed Univ ABC, Ctr Math Computat & Cognit, Rua Arcturus, 03 Jardim Antares, BR-09606070 Sao Bernardo Do Campo, SP - Brazil
[2] Univ Fed Sao Paulo, Dept Psychiat, Sao Paulo - Brazil
[3] Med Sch Santa Casa Sao Paulo, Dept Psychiat, Sao Paulo - Brazil
[4] Univ Fed Sao Paulo, Dept Morphol & Genet, Sao Paulo - Brazil
Total Affiliations: 4
Document type: Journal article
Source: PSYCHIATRY RESEARCH-NEUROIMAGING; v. 275, p. 14-20, MAY 30 2018.
Web of Science Citations: 0

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. In the following, we compared the volumetric patterns of FEP patients with patterns of SCZ and healthy controls using these scores. The FEP group had a score distribution more similar to patients with schizophrenia (p-value = .461; Cohen's d = -.15) in comparison with healthy subjects (p-value = .003; Cohen's d = .62). Structures related to the limbic system and the circuitry involved in goal-directed behaviours were the most discriminant regions. There is a distinct pattern of volumetric changes in patients with schizophrenia in contrast to healthy controls, and this pattern seem to be detectable already in FEP. (AU)

FAPESP's process: 13/10498-6 - Machine learning in neuroimaging: development of methods and clinical applications in psychiatric disorders
Grantee:João Ricardo Sato
Support type: Regular Research Grants
FAPESP's process: 13/08531-5 - High risk cohort study for psychiatric disorders in childhood: 3-year follow-up neuroimaging study
Grantee:Andrea Parolin Jackowski
Support type: Regular Research Grants
FAPESP's process: 14/07280-1 - Search for genetic markers of risk, progression and response to treatment
Grantee:Síntia Iole Nogueira Belangero
Support type: Regular Research Grants
FAPESP's process: 13/05168-7 - Development of Deep Belief Networks to support the diagnosis of psychiatric disorders
Grantee:Walter Hugo Lopez Pinaya
Support type: Scholarships in Brazil - Doctorate