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Single-Trial Decoding of Scalp EEG under Natural Conditions
Joint Authors
Hansen, Sofie Therese
Hansen, Lars Kai
Tuckute, Greta
Pedersen, Nicolai
Steenstrup, Dea
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
There is significant current interest in decoding mental states from electroencephalography (EEG) recordings.
EEG signals are subject-specific, are sensitive to disturbances, and have a low signal-to-noise ratio, which has been mitigated by the use of laboratory-grade EEG acquisition equipment under highly controlled conditions.
In the present study, we investigate single-trial decoding of natural, complex stimuli based on scalp EEG acquired with a portable, 32 dry-electrode sensor system in a typical office setting.
We probe generalizability by a leave-one-subject-out cross-validation approach.
We demonstrate that support vector machine (SVM) classifiers trained on a relatively small set of denoised (averaged) pseudotrials perform on par with classifiers trained on a large set of noisy single-trial samples.
We propose a novel method for computing sensitivity maps of EEG-based SVM classifiers for visualization of EEG signatures exploited by the SVM classifiers.
Moreover, we apply an NPAIRS resampling framework for estimation of map uncertainty, and thus show that effect sizes of sensitivity maps for classifiers trained on small samples of denoised data and large samples of noisy data are similar.
Finally, we demonstrate that the average pseudotrial classifier can successfully predict the class of single trials from withheld subjects, which allows for fast classifier training, parameter optimization, and unbiased performance evaluation in machine learning approaches for brain decoding.
American Psychological Association (APA)
Tuckute, Greta& Hansen, Sofie Therese& Pedersen, Nicolai& Steenstrup, Dea& Hansen, Lars Kai. 2019. Single-Trial Decoding of Scalp EEG under Natural Conditions. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129667
Modern Language Association (MLA)
Tuckute, Greta…[et al.]. Single-Trial Decoding of Scalp EEG under Natural Conditions. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1129667
American Medical Association (AMA)
Tuckute, Greta& Hansen, Sofie Therese& Pedersen, Nicolai& Steenstrup, Dea& Hansen, Lars Kai. Single-Trial Decoding of Scalp EEG under Natural Conditions. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129667
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129667