The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Brain–machine interface in chronic stroke rehabilitation: A controlled study
Open accessAbstract
Objective: Chronic stroke patients with severe hand weakness respond poorly to rehabilitation efforts. Here, we evaluated efficacy of daily brain–machine interface (BMI) training to increase the hypothesized beneficial effects of physiotherapy alone in patients with severe paresis in a double‐blind sham‐controlled design proof of concept study. Methods: Thirty‐two chronic stroke patients with severe hand weakness were randomly assigned to 2 matched groups and participated in 17.8 ± 1.4 days of training rewarding desynchronization of ipsilesional oscillatory sensorimotor rhythms with contingent online movements of hand and arm orthoses (experimental group, n = 16). In the control group (sham group, n = 16), movements of the orthoses occurred randomly. Both groups received identical behavioral physiotherapy immediately following BMI training or the control intervention. Upper limb motor function scores, electromyography from arm and hand muscles, placebo–expectancy effects, and functional magnetic resonance imaging (fMRI) blood oxygenation level–dependent activity were assessed before and after intervention. Results: A significant group × time interaction in upper limb (combined hand and modified arm) Fugl–Meyer assessment (cFMA) motor scores was found. cFMA scores improved more in the experimental than in the control group, presenting a significant improvement of cFMA scores (3.41 ± 0.563‐point difference, p = 0.018) reflecting a clinically meaningful change from no activity to some in paretic muscles. cFMA improvements in the experimental group correlated with changes in fMRI laterality index and with paretic hand electromyography activity. Placebo–expectancy scores were comparable for both groups. Interpretation: The addition of BMI training to behaviorally oriented physiotherapy can be used to induce functional improvements in motor function in chronic stroke patients without residual finger movements and may open a new door in stroke neurorehabilitation. ANN NEUROL 2013;74:100–108
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Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
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
High-performance neuroprosthetic control by an individual with tetraplegia
Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., McMorland, A. J., Velliste, M., Boninger, M. L., & Schwartz, A. B. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61816-9 · Cited by 1,848
Reward Improves Long-Term Retention of a Motor Memory through Induction of Offline Memory Gains
Abe, M., Schambra, H., Wassermann, E. M., Luckenbaugh, D., Schweighofer, N., & Cohen, L. G. (2011) · Current Biology · doi:10.1016/j.cub.2011.02.030 · Cited by 313
Self-citationCongruent unilateral impairments for real and imagined hand movements
Sirigu, A., Cohen, L., Duhamel, J. R., Pillon, B., Dubois, B., Agid, Y., & Pierrot-Deseilligny, C. (1995) · NeuroReport · doi:10.1097/00001756-199505090-00012 · Cited by 281
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Sitaram, R., Ros, T., Stoeckel, L., Haller, S., Scharnowski, F., Lewis-Peacock, J., Weiskopf, N., Blefari, M. L., Rana, M., Oblak, E., et al. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.164 · Cited by 1,306
Self-citationBrain–computer interfaces for communication and rehabilitation
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Self-citationBrain-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
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Metadata
- Authors
- Ramos‐Murguialday, A., Broetz, D., Rea, M., Läer, L., Yilmaz, Ö., Brasil, F. L., Liberati, G., Curado, M. R., Garcia‐Cossio, E., Vyziotis, A., Cho, W., Agostini, M., Soares, E., Soekadar, S., Caria, A., Cohen, L. G., & Birbaumer, N.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2013-07
- Volume
- 74
- Issue
- 1
- Pages
- 100-108
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2133561518
- Cited by
- 994
- References
- 5
- FWCI
- 63.93
- Type
- journal article
- Language
- en
- Open access
- green
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- Ramos‐Murguialday, A., Broetz, D., Rea, M., Läer, L., Yilmaz, Ö., Brasil, F. L., Liberati, G., Curado, M. R., Garcia‐Cossio, E., Vyziotis, A., Cho, W., Agostini, M., Soares, E., Soekadar, S., Caria, A., Cohen, L. G., & Birbaumer, N. (2013). Brain–machine interface in chronic stroke rehabilitation: A controlled study. Annals of Neurology. https://doi.org/10.1002/ana.23879
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