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A P300-based brain-computer interface for improving attention

Arvaneh, Mahnaz orcid logoORCID: 0000-0002-5124-3497, Robertson, Ian H. orcid logoORCID: 0000-0001-8637-561X and Ward, Tomás E. orcid logoORCID: 0000-0002-6173-6607 (2019) A P300-based brain-computer interface for improving attention. Frontiers in Human Neuroscience, 12 . ISSN 1662-5161

Abstract
A Brain-computer Interface (BCI) can be used as a neurofeedback training tool to improve cognitive performance. BCIs aim to improve the effectiveness and efficiency of the conventional neurofeedback methods by focusing on the self-regulation of individualized neuromarkers rather than generic ones in a graphically appealing training environment. In this work, for the first time, we have modified a widely used P300-based speller BCI and used it as an engaging neurofeedack training game to enhance P300. According to the user's performance the game becomes more difficult in an adaptive manner, requiring the generation of a larger and stronger P300 (i.e., in terms of total energy) in response to target stimuli. Since the P300 is generated naturally without conscious effort in response to a target trial, unlike many rhythm-based neurofeedback tools, the ability to control the proposed P300-based neurofeedback training is obtained after a short calibration without undergoing tedious trial and error sessions. The performance of the proposed neurofeedback training was evaluated over a short time scale (approximately 30 min training) using 28 young adult participants who were randomly assigned to either the experimental group or the control group. In summary, our results show that the proposed P300-based BCI neurofeedback training yielded a significant enhancement in the ERP components of the target trials (i.e., 150–550 ms after the onset of stimuli which includes P300) as well as attenuation in the corresponding ERP components of the non-target trials. In addition, more centro-parietal alpha suppression was observed in the experimental group during the neurofeedback training as well as a post-training spatial attention task. Interestingly, a significant improvement in the response time of a spatial attention task performed immediately after the neurofeedback training was observed in the experimental group. This paper, as a proof-of-concept study, suggests that the proposed neurofeedback training tool is a promising tool for improving attention particularly for those who are at risk of attention deficiency.
Metadata
Item Type:Article (Published)
Refereed:Yes
Additional Information:Article number 524
Uncontrolled Keywords:brain-computer interface; neurofeedback; P300; attention; electroencephalography
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Publisher:Frontiers Media
Official URL:https://dx.doi.org/10.3389/fnhum.2018.0052
Copyright Information:© 2019 The Authors. Open Access (CC-BY 4.0)
ID Code:27534
Deposited On:11 Aug 2022 12:36 by Thomas Murtagh . Last Modified 11 Aug 2022 13:08
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