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Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

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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: Oct 26, 2025

Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
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Neurofeedback Training Protocol Based on Selecting Distinctive Features to Treat or Reduce ADHD Symptoms.

Parham Jalali1, Nasrin Sho'ouri1

  • 1Islamic Azad University, Tehran, Iran.

Clinical EEG and Neuroscience
|August 2, 2021
PubMed
Summary
This summary is machine-generated.

Electroencephalography (EEG) theta/beta ratio (TBR) may not be a reliable ADHD biomarker. A new neurofeedback (NFB) protocol targeting specific brainwave activity shows promise for managing ADHD symptoms.

Keywords:
ADHDEEGgenetic algorithmneurofeedbackpower spectral density

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Area of Science:

  • Neuroscience
  • Clinical Psychology
  • Biomedical Engineering

Background:

  • Electroencephalography (EEG) theta/beta ratio (TBR) has been investigated as a potential biomarker for Attention Deficit Hyperactivity Disorder (ADHD).
  • Previous research suggests lower TBR in individuals with ADHD compared to healthy controls, but its diagnostic and therapeutic utility remains debated.
  • Existing neurofeedback (NFB) protocols aimed at reducing TBR in the central (Cz) channel for ADHD treatment have faced scrutiny regarding their effectiveness.

Purpose of the Study:

  • To investigate the diagnostic potential of EEG-TBR in ADHD.
  • To propose and evaluate a novel NFB treatment protocol for ADHD management.
  • To identify significant EEG features distinguishing children with ADHD from healthy controls.

Main Methods:

  • EEG data were collected from 30 children with ADHD and 30 healthy controls during an attention-based task.
  • Relative power in different EEG frequency bands was calculated.
  • A genetic algorithm (GA) was employed to identify distinguishing EEG features between the groups.
  • A new NFB protocol involving modulation of alpha and delta bands in specific channels (F7, T5) was proposed.

Main Results:

  • EEG-TBR was found to be lower in children with ADHD, but the difference was not statistically significant.
  • The study proposed inhibiting alpha band activity and enhancing delta band activity in F7 or T5 channels as a novel NFB approach for ADHD.
  • No significant increase in EEG-TBR was observed in the Cz channel, questioning the efficacy of existing TBR inhibitory protocols.

Conclusions:

  • The findings cast doubt on the reliability of EEG-TBR as a sole biomarker for ADHD diagnosis.
  • The proposed NFB protocol, focusing on specific channel and frequency band modulations, offers a potential alternative for ADHD management.
  • Combining the new protocol with enhanced beta-band activity may be beneficial for treating or reducing ADHD symptoms.