Journal article 37 views 5 downloads
Eye movement behavior in a real-world virtual reality task reveals ADHD in children
Liya Merzon,
Kati Pettersson,
Eeva T. Aronen,
Hanna Huhdanpää,
Erik Seesjärvi,
Linda Henriksson,
Joe MacInnes 
,
Minna Mannerkoski,
Emiliano Macaluso,
Juha Salmi
,
Minna Mannerkoski,
Emiliano Macaluso,
Juha Salmi
Scientific Reports, Volume: 12, Issue: 1
Swansea University Author:
Joe MacInnes
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DOI (Published version): 10.1038/s41598-022-24552-4
Abstract
Eye movements and other rich data obtained in virtual reality (VR) environments resembling situations where symptoms are manifested could help in the objective detection of various symptoms in clinical conditions. In the present study, 37 children with attention deficit hyperactivity disorder and 36...
| Published in: | Scientific Reports |
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| ISSN: | 2045-2322 |
| Published: |
Springer Science and Business Media LLC
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa63400 |
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| Abstract: |
Eye movements and other rich data obtained in virtual reality (VR) environments resembling situations where symptoms are manifested could help in the objective detection of various symptoms in clinical conditions. In the present study, 37 children with attention deficit hyperactivity disorder and 36 typically developing controls (9–13 y.o) played a lifelike prospective memory game using head-mounted display with inbuilt 90 Hz eye tracker. Eye movement patterns had prominent group differences, but they were dispersed across the full performance time rather than associated with specific events or stimulus features. A support vector machine classifier trained on eye movement data showed excellent discrimination ability with 0.92 area under curve, which was significantly higher than for task performance measures or for eye movements obtained in a visual search task. We demonstrated that a naturalistic VR task combined with eye tracking allows accurate prediction of attention deficits, paving the way for precision diagnostics. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
1 |