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Pupil diameter does not covary with learning during single-session Neurofeedback Training
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2024 (English)In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Institute of Electrical and Electronics Engineers (IEEE), 2024Conference paper, Published paper (Refereed)
Abstract [en]

One of the major challenges in neurofeedback (NFB) research is that a large proportion of users have difficulty or cannot learn to control their neural activity when provided feedback. Studying learning from a fundamental perspective, using independent measures, during NFB training is crucial to address this challenge. Our aim in this study was to investigate whether the pupil diameter can be used as a biomarker for learning neural self-regulation. Twenty healthy subjects performed four sessions of NFB training to control different electroencephalogram (EEG) power features. We did not observe any differences in pupil diameter across NFB sessions between learners and non-learners. In addition, no correlation was found between the pupil diameter and the targeted EEG power features during NFB training for all subjects. Our results indicate that the pupil diameter does not covary with learning neural self-regulation, possibly due to confounding factors such as mental fatigue. Further studies are needed to explore whether other eye-related parameters can be linked to learning during NFB training.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024.
Series
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, ISSN 1557170X
Keywords [en]
Adversarial machine learning, Federated learning, Reinforcement learning, Self-supervised learning, Healthy subjects, Learn+, Mental fatigue, Neural activity, Neurofeedback, Power, Pupil diameter, Self regulation, Contrastive Learning
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-69843DOI: 10.1109/EMBC53108.2024.10782520Scopus ID: 2-s2.0-85214978885ISBN: 9798350371499 (print)OAI: oai:DiVA.org:mdh-69843DiVA, id: diva2:1930678
Conference
46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, USA, 15-19 July, 2024
Available from: 2025-01-23 Created: 2025-01-23 Last updated: 2025-10-10Bibliographically approved

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Silva, JoanaSyrjänen, ElmeriÅstrand, Elaine

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