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Article

Self-Paced Online vs. Cue-Based Offline Brain–Computer Interfaces for Inducing Neural Plasticity

1
SMI, Department of Health Science and Technology, Aalborg University, Aalborg 9220, Denmark
2
New Zealand College of Chiropractic, Auckland 1060, New Zealand
3
Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg 9000, Denmark
4
Health and Rehabilitation Research Institute, AUT University, Auckland 0627, New Zealand
5
CEME, National University of Sciences and Technology (NUST), Islamabad 4400, Pakistan
*
Author to whom correspondence should be addressed.
Brain Sci. 2019, 9(6), 127; https://doi.org/10.3390/brainsci9060127
Received: 8 April 2019 / Revised: 23 May 2019 / Accepted: 28 May 2019 / Published: 1 June 2019
(This article belongs to the Special Issue Collection on Neural Engineering)
Brain–computer interfaces (BCIs), operated in a cue-based (offline) or self-paced (online) mode, can be used for inducing cortical plasticity for stroke rehabilitation by the pairing of movement-related brain activity with peripheral electrical stimulation. The aim of this study was to compare the difference in cortical plasticity induced by the two BCI modes. Fifteen healthy participants participated in two experimental sessions: cue-based BCI and self-paced BCI. In both sessions, imagined dorsiflexions were extracted from continuous electroencephalogram (EEG) and paired 50 times with the electrical stimulation of the common peroneal nerve. Before, immediately after, and 30 min after each intervention, the cortical excitability was measured through the motor-evoked potentials (MEPs) of tibialis anterior elicited through transcranial magnetic stimulation. Linear mixed regression models showed that the MEP amplitudes increased significantly (p < 0.05) from pre- to post- and 30-min post-intervention in terms of both the absolute and relative units, regardless of the intervention type. Compared to pre-interventions, the absolute MEP size increased by 79% in post- and 68% in 30-min post-intervention in the self-paced mode (with a true positive rate of ~75%), and by 37% in post- and 55% in 30-min post-intervention in the cue-based mode. The two modes were significantly different (p = 0.03) at post-intervention (relative units) but were similar at both post timepoints (absolute units). These findings suggest that immediate changes in cortical excitability may have implications for stroke rehabilitation, where it could be used as a priming protocol in conjunction with another intervention; however, the findings need to be validated in studies involving stroke patients. View Full-Text
Keywords: movement-related cortical potentials; EEG; brain–computer interface; neural plasticity; cortical excitability movement-related cortical potentials; EEG; brain–computer interface; neural plasticity; cortical excitability
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MDPI and ACS Style

Jochumsen, M.; Navid, M.S.; Nedergaard, R.W.; Signal, N.; Rashid, U.; Hassan, A.; Haavik, H.; Taylor, D.; Niazi, I.K. Self-Paced Online vs. Cue-Based Offline Brain–Computer Interfaces for Inducing Neural Plasticity. Brain Sci. 2019, 9, 127. https://doi.org/10.3390/brainsci9060127

AMA Style

Jochumsen M, Navid MS, Nedergaard RW, Signal N, Rashid U, Hassan A, Haavik H, Taylor D, Niazi IK. Self-Paced Online vs. Cue-Based Offline Brain–Computer Interfaces for Inducing Neural Plasticity. Brain Sciences. 2019; 9(6):127. https://doi.org/10.3390/brainsci9060127

Chicago/Turabian Style

Jochumsen, Mads, Muhammad S. Navid, Rasmus W. Nedergaard, Nada Signal, Usman Rashid, Ali Hassan, Heidi Haavik, Denise Taylor, and Imran K. Niazi 2019. "Self-Paced Online vs. Cue-Based Offline Brain–Computer Interfaces for Inducing Neural Plasticity" Brain Sciences 9, no. 6: 127. https://doi.org/10.3390/brainsci9060127

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