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Related Concept Videos

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

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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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EEG Global Coherence in Scholar ADHD Children during Visual Object Processing.

Loyda Hernández-Andrade1, Ana Cristina Hermosillo-Abundis2, Brenda Lesly Betancourt-Navarrete1

  • 1Facultad de Psicología, Benemérita Universidad Autónoma de Puebla, Puebla 72000, Mexico.

International Journal of Environmental Research and Public Health
|May 28, 2022
PubMed
Summary

Children with attention deficit hyperactivity disorder (ADHD) exhibit distinct electroencephalography (EEG) patterns during visual processing tasks. These EEG differences, particularly in delta and theta bands, may serve as biomarkers for visual processing deficits in ADHD.

Keywords:
ADHDEEGcoherenceschool-aged childrenvisual perception

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Clinical Psychology

Background:

  • Attention deficit hyperactivity disorder (ADHD) is a primary cause of academic difficulties in children.
  • Visuospatial dysfunction is a significant contributor to cognitive underperformance in children with ADHD.

Purpose of the Study:

  • To investigate electroencephalography (EEG) alterations linked to ADHD during visual object processing.
  • To identify specific EEG characteristics associated with visuospatial deficits in school-aged children with ADHD.

Main Methods:

  • Multichannel EEG recordings were conducted on 16-year-old children using Navon's visual object processing paradigm.
  • Global coherence was analyzed during the processing of local and global visual stimuli (consistent, inconsistent, neutral).

Main Results:

  • Children with ADHD demonstrated significant differences in global weighted coherence when processing inconsistent visual stimuli compared to controls.
  • Individuals with ADHD exhibited longer response times during the visual processing task.
  • Delta and theta EEG frequency bands proved crucial for distinguishing between ADHD and control groups.

Conclusions:

  • EEG coherence and low-frequency spectral power show potential as biomarkers for visual processing deficits in ADHD.
  • Findings contribute to understanding academic underachievement in children with ADHD and inform diagnostic interventions.