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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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Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

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Sleep, academic achievement, and cognitive performance in children with attention-deficit hyperactivity disorder: A

Noelia Ruiz-Herrera1, Alejandro Guillén-Riquelme2, Amparo Díaz-Román1

  • 1Sleep and Health Promotion Laboratory, Mind, Brain, and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.

Journal of Sleep Research
|January 7, 2021
PubMed

Insights

Sleep disturbances significantly impact academic and cognitive abilities in children with attention-deficit hyperactivity disorder (ADHD). Addressing sleep issues can improve overall functioning in these children.

Area of Science:

  • Neuroscience
  • Pediatrics
  • Sleep Medicine

Background:

  • Attention-deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder affecting children.
  • Sleep problems are frequently reported in children with ADHD, potentially impacting their daily functioning.
  • Understanding the relationship between sleep patterns and performance is crucial for effective intervention.

Purpose of the Study:

  • To investigate how parent-reported and polysomnography (PSG)-measured sleep patterns affect academic and cognitive performance in children with ADHD.
  • To identify specific sleep variables that predict academic and cognitive outcomes in this population.

Main Methods:

  • A cohort of 91 children (aged 7-11 years) diagnosed with ADHD participated.
  • Subjective sleep quality was assessed using the Paediatric Sleep Questionnaire (PSQ) and Paediatric Daytime Sleepiness Scale (PDSS).
  • Objective sleep data were collected via polysomnography (PSG). Cognitive performance was measured using the Wechsler Intelligence Scale for Children (WISC), and academic performance was based on school grades.

Main Results:

  • Academic performance was associated with sleep duration, time in bed, night awakenings, and daytime sleepiness.
  • Cognitive performance was best predicted by rapid eye movement (REM) latency, light sleep, periodic limb movements index (PLMs), awakenings, and daytime sleepiness.
  • Both subjective and objective sleep measures revealed significant associations with performance outcomes.

Conclusions:

  • Sleep parameters are closely linked to both academic and cognitive functioning in children with ADHD.
  • Targeting sleep disturbances may offer a viable strategy to enhance the performance of children with ADHD.
  • This study highlights the importance of comprehensive sleep assessment in managing ADHD.

Keywords:
ADHDchildhooddaytime performancepolysomnography

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