Estimating cognitive load during self-regulation of brain activity and neurofeedback with therapeutic brain-computer interfaces

Frontiers in Behavioral Neuroscience
Robert Bauer, A Gharabaghi

Abstract

Neurofeedback (NFB) training with brain-computer interfaces (BCIs) is currently being studied in a variety of neurological and neuropsychiatric conditions in an aim to reduce disorder-specific symptoms. For this purpose, a range of classification algorithms has been explored to identify different brain states. These neural states, e.g., self-regulated brain activity vs. rest, are separated by setting a threshold parameter. Measures such as the maximum classification accuracy (CA) have been introduced to evaluate the performance of these algorithms. Interestingly enough, precisely these measures are often used to estimate the subject's ability to perform brain self-regulation. This is surprising, given that the goal of improving the tool that differentiates between brain states is different from the aim of optimizing NFB for the subject performing brain self-regulation. For the latter, knowledge about mental resources and work load is essential in order to adapt the difficulty of the intervention accordingly. In this context, we apply an analytical method and provide empirical data to determine the zone of proximal development (ZPD) as a measure of a subject's cognitive resources and the instructional efficacy of NFB. This appro...Continue Reading

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Citations

Jun 1, 2016·Frontiers in Cellular Neuroscience·Vladislav Royter, Alireza Gharabaghi
Jul 30, 2016·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Robert BauerAlireza Gharabaghi
Jul 31, 2016·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Robert BauerAlireza Gharabaghi
Oct 30, 2016·Frontiers in Neuroscience·Alireza Gharabaghi
May 18, 2018·Journal of Neural Engineering·Fabien Lotte, Camille Jeunet
Aug 1, 2020·Frontiers in Bioengineering and Biotechnology·Robert GuggenbergerAlireza Gharabaghi
Mar 30, 2017·Frontiers in Neuroscience·Robert Bauer, Alireza Gharabaghi

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