The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface
Open accessAbstract
Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke patients when applied over a large number of sessions. Here we evaluated the effect and the underlying mechanisms of three BCI training sessions in a double-blind sham-controlled design. The applied BCI is based on Hebbian principles of associativity that hypothesize that neural assemblies activated in a correlated manner will strengthen synaptic connections. Twenty-two chronic stroke patients were divided into two training groups. Movement-related cortical potentials (MRCPs) were detected by electroencephalography during repetitions of foot dorsiflexion. Detection triggered a single electrical stimulation of the common peroneal nerve timed so that the resulting afferent volley arrived at the peak negative phase of the MRCP (BCI associative group) or randomly (BCI nonassociative group). Fugl-Meyer motor assessment (FM), 10-m walking speed, foot and hand tapping frequency, diffusion tensor imaging (DTI) data, and the excitability of the corticospinal tract to the target muscle [tibialis anterior (TA)] were quantified. The TA motor evoked potential (MEP) increased significantly after the BCI associative intervention, but not for the BCI nonassociative group. FM scores (0.8 ± 0.46 point difference, P = 0.01), foot (but not finger) tapping frequency, and 10-m walking speed improved significantly for the BCI associative group, indicating clinically relevant improvements. Corticospinal tract integrity on DTI did not correlate with clinical or physiological changes. For the BCI as applied here, the precise coupling between the brain command and the afferent signal was imperative for the behavioral, clinical, and neurophysiological changes reported. This association may become the driving principle for the design of BCI rehabilitation in the future. Indeed, no available BCIs can match this degree of functional improvement with such a short intervention.
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Cites
Plasticity during stroke recovery: from synapse to behaviour
Murphy, T. H., & Corbett, D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2735 · Cited by 1,938
A review of portable FES-based neural orthoses for the correction of drop foot
Lyons, G. M., Sinkjaer, T., Burridge, J. H., & Wilcox, D. J. (2002) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2002.806832 · Cited by 277
Cited by
Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
Biasiucci, A., Leeb, R., Iturrate, I., Perdikis, S., Al-Khodairy, A., Corbet, T., Schnider, A., Schmidlin, T., Zhang, H., Bassolino, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04673-z · Cited by 649
Jovanovic, L. I., Kapadia, N., Lo, L., Zivanovic, V., Popovic, M. R., & Marquez-Chin, C. (2020) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000001163 · Cited by 36
Ribeiro, T. F., Carriello, M. A., de Paula, E. P., Garcia, A. C., Rocha, G. L. D., & Teive, H. A. G. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1195066 · Cited by 13
Metadata
- Authors
- Mrachacz-Kersting, N., Jiang, N., Stevenson, A. J. T., Niazi, I. K., Kostic, V., Pavlovic, A., Radovanovic, S., Djuric-Jovicic, M., Agosta, F., Dremstrup, K., & Farina, D.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2016-03-01
- Volume
- 115
- Issue
- 3
- Pages
- 1410-1421
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2199391040
- Cited by
- 275
- References
- 2
- FWCI
- 18.82
- Type
- journal article
- Language
- en
- Open access
- green
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- Mrachacz-Kersting, N., Jiang, N., Stevenson, A. J. T., Niazi, I. K., Kostic, V., Pavlovic, A., Radovanovic, S., Djuric-Jovicic, M., Agosta, F., Dremstrup, K., & Farina, D. (2016). Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface. Journal of Neurophysiology. https://doi.org/10.1152/jn.00918.2015
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