Electroencephalogram complexity analysis in children with attention-deficit/hyperactivity disorder during a visual

Hadi Zarafshan1, Ali Khaleghi1,2, Mohammad Reza Mohammadi1

  • 1a Psychiatry & Psychology Research Center , Tehran University of Medical Sciences , Tehran , Iran.

Insights

Children with attention-deficit/hyperactivity disorder (ADHD) exhibit altered brain activity complexity during cognitive tasks. This study found higher Lempel-Ziv complexity (LZC) in the right hemisphere of ADHD brains, suggesting potential posterior region and cerebellum involvement.

Area of Science:

  • Neuroscience
  • Child Psychology
  • Biomedical Engineering

Background:

  • Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder.
  • Current understanding of ADHD pathophysiology often focuses on fronto-striatal dysfunction.
  • Investigating brain activity dynamics through complexity analysis offers novel insights.

Purpose of the Study:

  • To compare electroencephalogram (EEG) complexity using Lempel-Ziv complexity (LZC) between children with ADHD and healthy controls during a cognitive task.
  • To identify differences in brain activity patterns associated with ADHD during cognitive load.

Main Methods:

  • Thirty children diagnosed with ADHD (ages 7-12) and 30 healthy controls participated.
  • EEG data were collected during a cognitive task.
  • Lempel-Ziv complexity (LZC) was computed to analyze EEG signal complexity.

Main Results:

  • Children with ADHD showed significantly higher LZC in right anterior and posterior brain regions compared to controls.
  • The ADHD group exhibited greater complexity in the right hemisphere versus the left.
  • Healthy controls displayed higher complexity in the left hemisphere compared to the right.

Conclusions:

  • Findings suggest altered brain complexity in posterior regions and potentially the cerebellum in children with ADHD.
  • The results challenge a sole focus on fronto-striatal dysfunction, highlighting broader neural network involvement.
  • EEG complexity analysis provides a valuable tool for understanding ADHD neurobiology.
Abstract