[Source:  Science Daily]

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 diagnosis of attention deficits. Their approach could also be used as the basis for an ADHD therapy, and with some modifications, to assess other conditions, such as autism.

ADHD is a common attention disorder that affects around six percent of the world’s children. Despite decades of searching for objective markers, ADHD diagnosis is still based on questionnaires, interviews and subjective observation. The results can be ambiguous, and standard behavioural tests don’t reveal how children manage everyday situations. Recently, a team consisting of researchers from Aalto University, the University of Helsinki, and Åbo Akademi University developed a virtual reality game called EPELI that can be used to assess ADHD symptoms in children by simulating situations from everyday life.

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