Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback

Abstract This paper provides the framework and supporting evidence for a highly efficient closed-loop paradigm that modifies a classic learning scenario using real-time brain activity in order to improve learning performance in a perceptual-cognitive training paradigm known as 3-dimensional multiple...

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Autores principales:	Brendan Parsons, Jocelyn Faubert
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/df84bec7d6964d1593588f7306837ce3
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spelling	oai:doaj.org-article:df84bec7d6964d1593588f7306837ce32021-12-02T14:21:58ZEnhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback10.1038/s41598-021-83456-x2045-2322https://doaj.org/article/df84bec7d6964d1593588f7306837ce32021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83456-xhttps://doaj.org/toc/2045-2322Abstract This paper provides the framework and supporting evidence for a highly efficient closed-loop paradigm that modifies a classic learning scenario using real-time brain activity in order to improve learning performance in a perceptual-cognitive training paradigm known as 3-dimensional multiple object tracking, or 3D-MOT. Results demonstrate that, over 10 sessions, when manipulating this novel task by using real-time brain signals, speed and degree of learning can be substantially improved compared with a classic learning system or an active sham-control group. Superior performance persists even once the feedback signal is removed, which suggests that the effects of enhanced training are consolidated and do not rely on continued feedback. This type of learning paradigm could contribute to overcoming one of the fundamental limitations of neurofeedback and other cognitive enhancement techniques, a lack of observable transfer effects, by utilizing a method that can be directly integrated into the context in which improved performance is sought.Brendan ParsonsJocelyn FaubertNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Brendan Parsons Jocelyn Faubert Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback
description	Abstract This paper provides the framework and supporting evidence for a highly efficient closed-loop paradigm that modifies a classic learning scenario using real-time brain activity in order to improve learning performance in a perceptual-cognitive training paradigm known as 3-dimensional multiple object tracking, or 3D-MOT. Results demonstrate that, over 10 sessions, when manipulating this novel task by using real-time brain signals, speed and degree of learning can be substantially improved compared with a classic learning system or an active sham-control group. Superior performance persists even once the feedback signal is removed, which suggests that the effects of enhanced training are consolidated and do not rely on continued feedback. This type of learning paradigm could contribute to overcoming one of the fundamental limitations of neurofeedback and other cognitive enhancement techniques, a lack of observable transfer effects, by utilizing a method that can be directly integrated into the context in which improved performance is sought.
format	article
author	Brendan Parsons Jocelyn Faubert
author_facet	Brendan Parsons Jocelyn Faubert
author_sort	Brendan Parsons
title	Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback
title_short	Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback
title_full	Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback
title_fullStr	Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback
title_full_unstemmed	Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback
title_sort	enhancing learning in a perceptual-cognitive training paradigm using eeg-neurofeedback
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/df84bec7d6964d1593588f7306837ce3
work_keys_str_mv	AT brendanparsons enhancinglearninginaperceptualcognitivetrainingparadigmusingeegneurofeedback AT jocelynfaubert enhancinglearninginaperceptualcognitivetrainingparadigmusingeegneurofeedback
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Enhancing learning in a perceptual-cognitive training paradigm using EEG-neurofeedback

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