Advanced machine learning techniques reveal multidimensional EEG abnormalities in children with ADHD: a framework for automatic diagnosis

Advanced machine learning techniques reveal multidimensional EEG abnormalities in children with ADHD: a framework for automatic diagnosis

IntroductionAttention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder that affects attention, impulse control, and multitasking abilities in children and adults. Understanding electroencephalography (EEG) characteristics of children with ADHD can provide new diagnost...

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Bibliographic Details
Main Authors: Ying Mao, Xuchen Qi, Lingyan He, Shan Wang, Zhaowei Wang, Fang Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Psychiatry
Subjects:
attention deficit hyperactivity disorder (ADHD)
electroencephalography (EEG)
functional connectivity (FC)
feature selection
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1475936/full
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