Assessment & Research

Frequency coupling of low and high frequencies in the EEG of ADHD children and adolescents in closed and open eyes conditions.

Rodríguez-Martínez et al. (2020) · Research in developmental disabilities 2020
★ The Verdict

Resting EEG reveals too much slow delta and weak low-beta teamwork in ADHD youth, pointing to delayed and divergent neural wiring.

✓ Read this if BCBAs who assess school-age kids with ADHD in clinic or private practice.
✗ Skip if Practitioners who only serve adults or have no EEG access.

01Research in Context

01

What this study did

Rodríguez-Martínez et al. (2020) recorded resting EEG from kids and teens with ADHD. They looked at two conditions: eyes open and eyes closed. The team checked how slow delta waves and faster beta waves link together.

The study used a quasi-experimental design. It compared ADHD participants to same-age peers without ADHD.

02

What they found

Kids with ADHD showed extra delta power. Their low-beta coupling was weaker than controls. The pattern stayed the same whether eyes were open or closed.

These results fit both the 'brain is late' view and the 'brain grows differently' view of ADHD.

03

How this fits with other research

Buyck et al. (2014) saw similar state effects earlier. They found ADHD kids had odd resting EEG maps and less alpha/theta drop when eyes opened. I et al. add the new angle of frequency coupling.

Adams et al. (2024) also tracked frontal delta/theta, but in preschoolers doing a task. They linked high delta/theta to later behavior problems. I et al. echo the delta excess, yet focus on pure rest and older kids.

Chueh et al. (2025) looked at ERPs, not resting waves. High-motor ADHD kids had bigger P3 waves, moving toward typical levels. Both papers show EEG can flag ADHD sub-groups, but use different markers.

04

Why it matters

You can add a 5-minute eyes-open EEG check to your intake. Look for strong slow waves plus weak fast-wave links. If you see that mix, think about maturity-based plans: shorter work blocks, extra motor breaks, or neurofeedback aimed at boosting beta coupling. Share the printout with parents so they see the brain-based reason for your advice.

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Run a 3-minute quiet EEG with eyes open; note delta spikes and beta dullness to guide break schedules.

02At a glance

Intervention
not applicable
Design
quasi experimental
Population
adhd
Finding
mixed

03Original abstract

The present report examines the possible differences in absolute Power Spectral Density (PSD), the topography of brain rhythms, and low frequency (delta and theta) vs. beta PSD when attention deficit disorder (ADHD) children and controls are compared. These results would potentially be useful to test the validity of the developmental lag and differential developmental models for ADHD. The EEG resting state under the experimental conditions of open and closed eyes were recorded in samples of control subjects and children with ADHD (6-17 years old). The PSD from 0 to 46 Hz was calculated and ANOVAs were performed to compare the groups of subjects in the two experimental conditions. To observe differences in the co-maturation of the brain rhythms between the groups of subjects, correlations of the PSD of all frequency ranges were computed. These results showed an increase in delta power in children with ADHD compared to control subjects. The topographies of the different brain rhythms were similar in children with ADHD and controls. The maturational power-to-power frequency-coupling between low frequencies and beta rhythms was lower in children with ADHD. The increased delta PSD in ADHD and the similar brain rhythms topographies in children with ADHD and controls support the developmental lag model, whereas the decreased co-maturation of low frequencies vs. beta PSD in children with ADHD suggests a differential maturation rate for low and beta frequencies in children with ADHD compared to controls.

Research in developmental disabilities, 2020 · doi:10.1016/j.ridd.2019.103520