The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
New insights into the pathophysiology of post-stroke spasticity
Open accessAbstract
Spasticity is one of many consequences after stroke. It is characterized by a velocity-dependent increase in resistance during passive stretch, resulting from hyperexcitability of the stretch reflex. The underlying mechanism of the hyperexcitable stretch reflex, however, remains poorly understood. Accumulated experimental evidence has supported supraspinal origins of spasticity, likely from an imbalance between descending inhibitory and facilitatory regulation of spinal stretch reflexes secondary to cortical disinhibition after stroke. The excitability of reticulospinal (RST) and vestibulospinal tracts (VSTs) has been assessed in stroke survivors with spasticity using non-invasive indirect measures. There are strong experimental findings that support the RST hyperexcitability as a prominent underlying mechanism of post-stroke spasticity. This mechanism can at least partly account for clinical features associated with spasticity and provide insightful guidance for clinical assessment and management of spasticity. However, the possible role of VST hyperexcitability cannot be ruled out from indirect measures. In vivo measure of individual brainstem nuclei in stroke survivors with spasticity using advanced fMRI techniques in the future is probably able to provide direct evidence of pathogenesis of post-stroke spasticity.
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Cites
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Cited by
Spasticity, Motor Recovery, and Neural Plasticity after Stroke
Li, S. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00120 · Cited by 336
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Metadata
- Authors
- Li, S., & Francisco, G. E.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2015-04-10
- Volume
- 9
- Pages
- 192-192
- ISSN
- 1662-5161 (ISSN-L)
- OpenAlex
- W2035178968
- Cited by
- 254
- References
- 55
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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