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Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
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Corrigendum: Multi-modal, Multi-measure, and Multi-class Discrimination of ADHD with Hierarchical Feature Extraction

Muhammad Naveed Iqbal Qureshi1, Jooyoung Oh1, Beomjun Min2

  • 1Department of Biomedical Science and Engineering, Institute of Integrated Technology, Gwangju Institute of Science and TechnologyGwangju, South Korea.

Frontiers in Human Neuroscience
|June 6, 2017
PubMed

Keywords:
ADHD-200ANOVAextreme learning machineglobal functional connectivityhierarchical feature extractionmachine learningneuroimagingrevised recursive feature elimination

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Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
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To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
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