Related Experiment Video
Updated: Jul 11, 2025

Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
Published on: April 1, 2018
Editorial: Can Physical Health Conditions in Childhood Predict Attention-Deficit/Hyperactivity Disorder Symptoms in
1Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Abstract:
In this issue of the Journal, Reed et al.1 present compelling data on the cumulative effect that certain non-psychiatric health conditions, grouped by clusters according to physiologic mechanisms, could have on symptoms of attention-deficit/hyperactivity disorder (ADHD) in late adolescence. The study leverages data collected through the Millennium Cohort Study (MCS). The MCS is valuable to characterize longitudinal associations, as it follows the development of a well-characterized, population-representative sample of more than 19,000 individuals born in the United Kingdom (UK) between 2000 and 2002.2,3 At the time of the study, 7 data sweeps had been conducted between 9 months and 17 years of age. Importantly, and as has been previously done with data collected through the MCS, standardized weights were applied to account for missing data from groups that are more likely to withdraw (eg, participants from disadvantaged backgrounds). As such, the sample represents the general UK population.
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
05:48The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
Published on: June 12, 2020