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Attention-Deficit/Hyperactivity Disorder01:30

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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.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
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Related Experiment Video

Updated: May 6, 2026

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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Electroencephalogram synchronization analysis for attention deficit hyperactivity disorder children.

Tian Liu1, Pan Lin, Yanni Chen

  • 1The Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, P.R. China National Engineering Research Center of Health Care and Medical Devices, Xi'an Jiaotong University Branch, Xi'an, 710049, P.R. China.

Bio-Medical Materials and Engineering
|November 12, 2013
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Summary

Children with attention deficit hyperactivity disorder (ADHD) show higher brainwave synchronization in alpha and beta EEG bands compared to neurotypical children. This suggests altered brain activity in ADHD.

Keywords:
ADHDEEGsynchronization likelihood

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Area of Science:

  • Neuroscience
  • Pediatric Neurology
  • Biomedical Engineering

Background:

  • Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder.
  • Altered brain activity and connectivity are implicated in ADHD pathophysiology.
  • Electroencephalogram (EEG) is a non-invasive tool to study brain electrical activity.

Purpose of the Study:

  • To investigate differences in EEG synchronization patterns between children with ADHD and typically developing controls.
  • To identify specific EEG frequency bands affected by ADHD.

Main Methods:

  • Acquired resting-state EEG data from 13 children with ADHD and 13 controls.
  • Calculated statistical dependencies between EEG channels using synchronization likelihood.
  • Performed statistical evaluation to compare synchronization between groups.

Main Results:

  • Significantly higher synchronization was observed in the ADHD group compared to controls.
  • Elevated synchronization was specifically noted in the alpha and beta EEG frequency bands.
  • These alterations were most pronounced in the faster EEG bands.

Conclusions:

  • Synchronization of fast EEG bands is significantly altered in children with ADHD.
  • Findings suggest a relationship between ADHD and atypical cerebral dysfunction.
  • This research may contribute to a better understanding of the neurobiological underpinnings of ADHD.