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A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery

N. Grigorev, A. Savosenkov, M. Lukoyanov, A. Udoratina, N. Shusharina, A. Kaplan, A. Hramov, V. Kazantsev, S. Gordleeva
doi: https://doi.org/10.1101/2021.02.28.433220
N. Grigorev
1Lobachevsky State University of Nizhny Novgorod
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A. Savosenkov
1Lobachevsky State University of Nizhny Novgorod
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M. Lukoyanov
1Lobachevsky State University of Nizhny Novgorod
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A. Udoratina
1Lobachevsky State University of Nizhny Novgorod
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N. Shusharina
2Immanuel Kant Baltic Federal University
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A. Kaplan
3Moscow State University
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A. Hramov
4Innopolis University, Lobachevsky State University of Nizhny Novgorod
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V. Kazantsev
5Lobachevsky State University of Nizhny Novgorod, Innopolis University
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S. Gordleeva
5Lobachevsky State University of Nizhny Novgorod, Innopolis University
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  • For correspondence: gordleeva@neuro.nnov.ru
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Abstract

In this study, we address the issue of whether vibrotactile feedback can enhance the motor cortex excitability translated into the plastic changes in local cortical areas during motor imagery (MI) BCI-based training. For this purpose, we focused on two of the most notable neurophysiological effects of MI – the event-related-desynchronization (ERD) level and the increase in cortical excitability assessed with navigated transcranial magnetic stimulation (nTMS). For TMS navigation, we used individual high-resolution 3D brain MRIs. Ten BCI-naive and healthy adults participated in this study. The MI (rest or left/right hand imagery using Graz-BCI paradigm) tasks were performed separately in the presence and absence of feedback. To investigate how much the presence/absence of vibrotactile feedback in MI BCI-based training could contribute to the sensorimotor cortical activations, we compared the MEPs amplitude during MI after training with and without feedback. In addition, the ERD levels during MI BCI-based training were investigated. Our findings provide evidence that applying vibrotactile feedback during MI training leads to (i) an enhancement of the desynchronization level of mu-rhythm EEG patterns over the contralateral motor cortex area corresponding to the MI of the non-dominant hand; (ii) an increase in motor cortical excitability in hand muscle representation corresponding to a muscle engaged by the MI.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 01, 2021.
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A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery
N. Grigorev, A. Savosenkov, M. Lukoyanov, A. Udoratina, N. Shusharina, A. Kaplan, A. Hramov, V. Kazantsev, S. Gordleeva
bioRxiv 2021.02.28.433220; doi: https://doi.org/10.1101/2021.02.28.433220
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A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery
N. Grigorev, A. Savosenkov, M. Lukoyanov, A. Udoratina, N. Shusharina, A. Kaplan, A. Hramov, V. Kazantsev, S. Gordleeva
bioRxiv 2021.02.28.433220; doi: https://doi.org/10.1101/2021.02.28.433220

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