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

João Ricardo SatoClaudinei Eduardo BiazoliGiovanni Abrahão SalumAry GadelhaNicolas CrossleyGilson VieiraAndré ZugmanFelipe Almeida PiconPedro Mario PanMarcelo Queiroz HoexterEdson AmaroMauricio AnésLuciana Monteiro MouraMarco Antonio Gomes Del'AquillaPhilip McguireLuis Augusto RohdeEuripedes Constantino MiguelAndrea Parolin JackowskiRodrigo Affonseca Bressan

Published in: The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry (2017)

The combination of graph theory methods and an OC-SVM is a promising method to characterise neurodevelopment, and may be useful to understand the deviations leading to mental disorders.

Keyphrases

resting state
functional connectivity
machine learning
convolutional neural network
young adults
neural network
artificial intelligence
big data
deep learning
anorexia nervosa
white matter
multiple sclerosis
blood brain barrier
brain injury