The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Changing Motor Synergies in Chronic Stroke
Abstract
Synergies are thought to be the building blocks of vertebrate movements. The inability to execute synergies in properly timed and graded fashion precludes adequate functional motor performance. In humans with stroke, abnormal synergies are a sign of persistent neurological deficit and result in loss of independent joint control, which disrupts the kinematics of voluntary movements. This study aimed at characterizing training-related changes in synergies apparent from movement kinematics and, specifically, at assessing: 1) the extent to which they characterize recovery and 2) whether they follow a pattern of augmentation of existing abnormal synergies or, conversely, are characterized by a process of extinction of the abnormal synergies. We used a robotic therapy device to train and analyze paretic arm movements of 117 persons with chronic stroke. In a task for which they received no training, subjects were better able to draw circles by discharge. Comparison with performance at admission on kinematic robot-derived metrics showed that subjects were able to execute shoulder and elbow joint movements with significantly greater independence or, using the clinical description, with more isolated control. We argue that the changes we observed in the proposed metrics reflect changes in synergies. We show that they capture a significant portion of the recovery process, as measured by the clinical Fugl-Meyer scale. A process of “tuning” or augmentation of existing abnormal synergies, not extinction of the abnormal synergies, appears to underlie recovery.
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Cites
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Robot-aided neurorehabilitation
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Self-citationCombinations of muscle synergies in the construction of a natural motor behavior
d'Avella, A., Saltiel, P., & Bizzi, E. (2003) · Nature Neuroscience · doi:10.1038/nn1010 · Cited by 1,344
The organization of human postural movements: A formal basis and experimental synthesis
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Postural Hand Synergies for Tool Use
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“Graying of the population will increase the prevalence of stroke and has prompted the development of robotic tools for delivering movement therapy (Krebs et al. 1998; Lum et al. 2002; Reinkesmeyer et al. 2000), evaluating patients’ progress, and augmenting our understanding of the process of neuro-recovery (Krebs et a…”
Neural, mechanical, and geometric factors subserving arm posture in humans
Mussa-Ivaldi, F., Hogan, N., & Bizzi, E. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-10-02732.1985 · Cited by 1,158
Self-citationCompensatory strategies for reaching in stroke
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Cited by
Timmermans, A. A., Seelen, H. A., Willmann, R. D., & Kingma, H. (2009) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-6-1 · Cited by 483
Robotic neurorehabilitation: a computational motor learning perspective
Huang, V. S., & Krakauer, J. W. (2009) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-6-5 · Cited by 425
A paradigm shift for rehabilitation robotics
Krebs, H., Dipietro, L., Levy-Tzedek, S., Fasoli, S., Rykman-Berland, A., Zipse, J., Fawcett, J., Stein, J., Poizner, H., Lo, A., et al. (2008) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2008.919498 · Cited by 162
Self-citationRobotic Measurement of Arm Movements After Stroke Establishes Biomarkers of Motor Recovery
Krebs, H. I., Krams, M., Agrafiotis, D. K., DiBernardo, A., Chavez, J. C., Littman, G. S., Yang, E., Byttebier, G., Dipietro, L., Rykman, A., et al. (2014) · Stroke · doi:10.1161/strokeaha.113.002296 · Cited by 154
Self-citationGuo, L., Wang, J., Wu, Q., Li, X., Zhang, B., Zhou, L., & Xiong, D. (2023) · JMIR mHealth and uHealth · doi:10.2196/40416 · Cited by 48
Metadata
- Authors
- Dipietro, L., Krebs, H. I., Fasoli, S. E., Volpe, B. T., Stein, J., Bever, C., & Hogan, N.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2007-08
- Volume
- 98
- Issue
- 2
- Pages
- 757-768
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2166044895
- Cited by
- 263
- References
- 86
- FWCI
- 10.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Dipietro, L., Krebs, H. I., Fasoli, S. E., Volpe, B. T., Stein, J., Bever, C., & Hogan, N. (2007). Changing Motor Synergies in Chronic Stroke. Journal of Neurophysiology. https://doi.org/10.1152/jn.01295.2006
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