Related Experiment Video
Updated: Jul 7, 2026

Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol
Published on: April 1, 2018
[Quantitative electroencephalogram analysis confirms the presence of frontal lobe deficit among attention deficit
Humberto Madera-Carrillo1, Andrés Antonio González-Garrido, Fabiola R Gómez-Velázquez
1Instituto de Neurociencias, Centro Universitario de Ciencias Biológicas y Agropecuarias, Universidad de Guadalajara, Guadalajara, Jal., México. hmadera@cucba.udg.mx
Background:
[corrected] The Attention Deficit Disorder with Hyperactivity (ADDH) Barkley model predicts concomitant deficits in working memory and in the development of a sense of time as a consequence of poor behavioral inhibition.
Objective:
To evaluate electrophysiologically Barkley's theory (1997).
Subjects And Methods:
We studied the electroencephalogram (EEG) of fifteen right-handed, normal limit IQ ADDH children (inattentive subtype), aged 7-11 years, and a control group. Subjects were studied at rest, with the eyes open (RO) while performing a time estimation task (ET). Forty-two data matrices were analyzed in three conditions: RO, ET and ET-RO, to assess broad-band spectral parameters; the anteriority, temporal-referenced and laterality quotients (Aq, Aqt and Lq, respectively); and the theta/alpha and theta/beta ratios.
Results:
Analyses of variance revealed significant differences for ES-RA, in absolute (Aq &Aqt) and relative powers (Aq). Discriminant function analysis was able to predict group membership with an accuracy over 80%, but it decreased slightly when the leave-one-out method was applied Linear discrimination based on right hemisphere Aqt values showed the highest discrimination accuracy.
Conclusions:
These results support Barkley's theory, suggesting further evaluation of the temporal-referenced anteriority quotient as a promising electrophysiological tool for the diagnosis and follow up of ADDH children.
More Related Videos
10:02Event 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
12:21Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
Published on: September 12, 2011