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

Autor(es)

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]}

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: PSYCHIATRY RESEARCH-NEUROIMAGING; v. 275, p. 14-20, MAY 30 2018.
• Citações Web of Science: 0

Resumo

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)

• Processo FAPESP: 13/10498-6 - Aprendizado de máquina em neuroimagem: desenvolvimento de métodos e aplicações clínicas em transtornos psiquiátricos
• Beneficiário: João Ricardo Sato
• Linha de fomento: Auxílio à Pesquisa - Regular
• Processo FAPESP: 13/08531-5 - Coorte de alto risco para transtornos psiquiátricos na infância: seguimento de neuroimagem após 3 anos
• Beneficiário: Andrea Parolin Jackowski
• Linha de fomento: Auxílio à Pesquisa - Regular
• Processo FAPESP: 14/07280-1 - Busca por marcadores genéticos de risco, de progressão e de reposta ao tratamento na esquizofrenia
• Beneficiário: Síntia Iole Nogueira Belangero
• Linha de fomento: Auxílio à Pesquisa - Regular
• Processo FAPESP: 13/05168-7 - Desenvolvimento de Deep Belief Networks voltadas para o suporte ao diagnóstico de transtornos psiquiátricos
• Beneficiário: Walter Hugo Lopez Pinaya
• Linha de fomento: Bolsas no Brasil - Doutorado