A pupil size, eye-tracking and neuropsychological dataset from ADHD children during a cognitive task

Area of Science:

• Neuroscience
• Developmental Psychology
• Ophthalmology

Background:

• Attention Deficit/Hyperactive Disorder (ADHD) diagnosis relies solely on behavioral observations.
• Attentional networks in the brain involve circuits that regulate pupil size.
• Understanding the neurobiological underpinnings of ADHD is crucial for improved diagnosis and treatment.

Purpose of the Study:

• To present a comprehensive dataset of pupil size and gaze position during a visuospatial working memory task in children with and without ADHD.
• To provide a resource for analyzing the relationship between dynamic eye metrics, cognitive performance, and ADHD diagnosis.
• To investigate the impact of medication on pupil dynamics in children with ADHD.

Main Methods:

• Pupil size and gaze position were monitored in children diagnosed with ADHD and in typically developing control children during a visuospatial working memory task.
• Data were collected from 22 control children and 28 children diagnosed with ADHD.
• A subset of 17 children with ADHD completed the task both on and off medication.
• Scores from the Weschler Intelligence Scale for Children were also included.

Main Results:

• The dataset includes detailed time series of pupil size and gaze position for each trial and subject.
• It captures data from children with ADHD on and off medication, enabling within-subject comparisons.
• The dataset integrates eye-tracking metrics with neuropsychological test scores.

Conclusions:

• This dataset provides a valuable resource for researchers studying the neurocognitive mechanisms of ADHD.
• It facilitates the analysis of dynamic eye movement and pupil changes in relation to behavioral and cognitive profiles in ADHD.
• The data can contribute to developing more objective biomarkers for ADHD diagnosis and treatment monitoring.