Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning.

Journal: The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry
PMID: 28635541

Abstract

OBJECTIVES: One of the major challenges facing psychiatry is how to incorporate biological measures in the classification of mental health disorders. Many of these disorders affect brain development and its connectivity. In this study, we propose a novel method for assessing brain networks based on the combination of a graph theory measure (eigenvector centrality) and a one-class support vector machine (OC-SVM).

Authors

  • João Ricardo Sato
    Center of Mathematics, Computing and Cognition, Federal University of ABC, São Bernardo do Campo, Brazil; Graduate Program in Neuroscience and Cognition, Federal University of ABC, Santo André, Brazil. Electronic address: joao.sato@ufabc.edu.br.
  • Claudinei Eduardo Biazoli
    Center of Mathematics, Computation and Cognition, Universidade Federal Do ABC, Santo Andre, Brazil.
  • Giovanni Abrahão Salum
    National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
  • Ary Gadelha
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
  • Nicolas Crossley
    Institute of Psychiatry, King's College London, London, United Kingdom.
  • Gilson Vieira
    Department of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil.
  • André Zugman
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
  • Felipe Almeida Picon
    National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
  • Pedro Mario Pan
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
  • Marcelo Queiroz Hoexter
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
  • Edson Amaro
    Department of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil.
  • Mauricio Anés
    National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
  • Luciana Monteiro Moura
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
  • Marco Antonio Gomes Del'aquilla
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
  • Philip McGuire
    Institute of Psychiatry, King's College London, London, United Kingdom.
  • Luis Augusto Rohde
    National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
  • Euripedes Constantino Miguel
    National Institute of Developmental Psychiatry for Children and Adolescents, CNPq, São Paulo, Brazil.
  • Andrea Parolin Jackowski
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.
  • Rodrigo Affonseca Bressan
    Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal De Sao Paulo (UNIFESP), Sao Paulo, Brazil.

Keywords

External Resources

Popular Topics
Recent Journals