Assessing atypical brain functional connectivity development: An approach based on generative adversarial networks

Assessing atypical brain functional connectivity development: An approach based on generative adversarial networks

Generative Adversarial Networks (GANs) are promising analytical tools in machine learning applications. Characterizing atypical neurodevelopmental processes might be useful in establishing diagnostic and prognostic biomarkers of psychiatric disorders. In this article, we investigate the potential of...

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Bibliographic Details
Main Authors: Pedro Machado Nery Dos Santos, Sérgio Leonardo Mendes, Claudinei Biazoli, Ary Gadelha, Giovanni Abrahão Salum, Euripedes Constantino Miguel, Luis Augusto Rohde, João Ricardo Sato
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Neuroscience
Subjects:
machine learning (ML)
biomarker
neural networks
children
functional connectivity
GANs
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1025492/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.1025492/full

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