You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Individual temporal and spatial dynamics of learning to control central Beta activity in neurofeedback training

Authors:

Elmeri Syrjänen, Joana Silva, Elaine Åstrand

Research group:

Neuroengineering

Publication Type:

Conference/Workshop Paper

Venue:

2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)

Publisher:

IEEE

DOI:

10.1109/ner52421.2023.10123781

Abstract

Neurofeedback (NFB) and Brain-Computer Interface (BCI) research seldom present within-session individual learning dynamics. This is even though a large proportion of NFB and BCI users cannot learn neural self-regulation required to control the feedback. Understanding the time course and learning variability between participants might allow us to design better NFB and BCI protocols to promote learning of neural self-regulation. The importance of developing novel NFB and BCI protocols becomes apparent, considering the clinical utility of these techniques. Tuning the brain to perform optimally could provide for long-term non-pharmacological treatment without any drug-associated side effects. This paper reports the strategies used by participants and the individual dynamics of central Beta NFB downregulation training and associated mental strategies for nine participants. The results showed that all participants could learn to downregulate their central Beta power in a single session, however, the dynamics of learning differed between participants. We visually identified two learning dynamics; 1) a continual decrease in Beta power and 2) an initial decrease followed by a stable level of Beta power. Topographic plots indicated high spatial variability in Beta power decreases in participants. Responses from end-of-session debriefing indicated that all participants felt they could control the feedback. Although participants could control the feedback, an optimal mental strategy for controlling central Beta power was not revealed.

Bibtex

@inproceedings{Syrjanen6992,
author = {Elmeri Syrj{\"a}nen and Joana Silva and Elaine {\AA}strand},
title = {Individual temporal and spatial dynamics of learning to control central Beta activity in neurofeedback training},
isbn = {978-1-6654-6292-1},
month = {August},
year = {2023},
booktitle = {2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/6992-}
}