Martel, A., Arvaneh, M., Dockree, P. et al. (1 more author) (2016) Neurophysiological correlates of mind-wandering, towards a predictive BCI-based neurofeedback. In: Müller-Putz, G.R., Huggins, J.E. and Steyrl, D., (eds.) Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future. 6th International BCI Meeting : BCI Past, Present and Future, 30 May - 03 Jun 2016, Pacific Grove, CA, USA. Graz University of Technology , p. 131. ISBN 9783851254679
Abstract
A brain computer interface (BCI) able to predict the disengagement of attention, e.g. mind-wandering episodes, regardless of the task being performed bears useful applications. Converging neuroscientific evidence has determined that our ability to remain attentive to a task, over a prolonged period of time, is subject to strong fluctuations. Recent electroencephalography (EEG) studies have identified neurophysiological signals reflecting inadequate task engagement preceding attentional lapses, in particular modulation of P300 amplitude and α-activity. The present study investigated the evolution of neurophysiological signals preceding the report of 5 different levels of attention, from on-task to mind-wandering without awareness, during a breath-counting task and a sustained attention to response task (SART).
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2016 The Authors. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Aug 2016 10:59 |
Last Modified: | 19 Jun 2020 09:21 |
Published Version: | https://castor.tugraz.at/doku/BCIMeeting2016/Proce... |
Status: | Published |
Publisher: | Graz University of Technology |
Refereed: | Yes |
Identification Number: | 10.3217/978-3-85125-467-9-131 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100764 |