A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning

A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning

Objective: Attention-Deficit Hyperactivity Disorder (ADHD) is one of the most widespread neurodevelopmental disorders diagnosed in childhood. ADHD is diagnosed by following the guidelines of Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). According to DSM-5, ADHD has no...

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Bibliographic Details
Main Authors: Javier Sanchis, Sandra García-Ponsoda, Miguel A. Teruel, Juan Trujillo, Il-Yeol Song
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Attention-deficit hyperactivity disorder
Brain regions
Electroencephalogram
Feature selection methods
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024020590

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http://www.sciencedirect.com/science/article/pii/S2405844024020590

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