Given the heterogeneous nature of attention-deficit/hyperactivity disorder (ADHD) and the absence of established biomarkers, accurate diagnosis and effective ...

Researchers have used virtual reality games, eye tracking and machine learning to show that differences in eye movements can be used to detect ADHD, potentially providing a tool for more precise ...

This study investigates whether oculomotor dysfunction in individuals with post-COVID-19 condition can serve as a biomarker for cognitive impairment as demonstrated in other neurological conditions.

In a recent study published in Frontiers in Neuroscience, researchers developed an innovative autism spectrum disorder (ASD) detection technique for children by examining eye movement information for ...