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Cortical excitability correlates with the event-related desynchronization during brain-computer interface control

Daly, Ian and Blanchard, C and Holmes, N (2018) 'Cortical excitability correlates with the event-related desynchronization during brain-computer interface control.' Journal of Neural Engineering. ISSN 1741-2552 (In Press)

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Abstract

Objective Brain-computer interfaces (BCIs) based on motor control have been suggested as tools for stroke rehabilitation. Some initial successes have been achieved with this approach, however the mechanism by which they work is not yet fully understood. One possible part of this mechanism is a, previously suggested, relationship between the strength of the event-related desynchronization (ERD), a neural correlate of motor imagination and execution, and corticospinal excitability. Additionally, a key component of BCIs used in neurorehabilitation is the provision of visual feedback to positively reinforce attempts at motor control. However, the ability of visual feedback of the ERD to modulate the activity in the motor system has not been fully explored. Approach We investigate these relationships via transcranial magnetic stimulation delivered at different moments in the ongoing ERD related to hand contraction and relaxation during BCI control of a visual feedback bar. Main results We identify a significant relationship between ERD strength and corticospinal excitability, and find that our visual feedback does not affect corticospinal excitability. Significance Our results imply that efforts to promote functional recovery in stroke by targeting increases in corticospinal excitability may be aided by accounting for the time course of the ERD.

Item Type: Article
Uncontrolled Keywords: brain state dependent brain stimulation, EEG, BCI, TMS, ERD, neurorehabilitation, motor evoked potentials
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 31 Jan 2018 13:46
Last Modified: 24 Sep 2019 15:15
URI: http://repository.essex.ac.uk/id/eprint/21303

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