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Observational Study
. 2019 Jan 24;14(1):e0210038.
doi: 10.1371/journal.pone.0210038. eCollection 2019.

Which brain lesions produce spasticity? An observational study on 45 stroke patients

Affiliations
Observational Study

Which brain lesions produce spasticity? An observational study on 45 stroke patients

Kyoung Bo Lee et al. PLoS One. .

Abstract

Spasticity is an important barrier that can hinder the restoration of function in stroke patients. Although several studies have attempted to elucidate the relationship between brain lesions and spasticity, the effects of specific brain lesions on the development of spasticity remain unclear. Thus, the present study investigated the effects of stroke lesions on spasticity in stroke patients. The present retrospective longitudinal observational study assessed 45 stroke patients using the modified Ashworth Scale to measure muscle spasticity. Each patient was assessed four times: initially (within 2 weeks of stroke) and at 1, 3, and 6 months after the onset of stroke. Brain lesions were analyzed using voxel-based lesion symptom mapping (VLSM) with magnetic resonance imaging images. Spasticity developed to a certain degree within 3 months in most stroke patients with spasticity. The VLSM method with non-parametric mapping revealed that lesions in the superior corona radiata, posterior limb of the internal capsule, posterior corona radiata, thalamus, putamen, premotor cortex, and insula were associated with the development of upper-limb spasticity. Additionally, lesions of the superior corona radiata, posterior limb of the internal capsule, caudate nucleus, posterior corona radiata, thalamus, putamen, and external capsule were associated with the development of lower-limb spasticity. The present study identified several brain lesions that contributed to post-stroke spasticity. Specifically, the involvement of white matter tracts and the striatum influenced the development of spasticity in the upper and lower limbs of stroke patients. These results may be useful for planning rehabilitation strategies and for understanding the pathophysiology of spasticity in stroke patients.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Comparisons of spasticity following stroke.
The spasticity scores were increased significantly between initial and 3months, were not different between 3months and 6months after onset(p<0.05, Fig 1). The interaction between spasticity of upper limb and lower limb with time, was not different (p = 0.373). UE, upper extremity; LE, lower extremity.
Fig 2
Fig 2. Overlay of lesions in all the subjects with stroke (n = 45).
The color indicates the frequency of overlap.
Fig 3
Fig 3. Statistical voxel-based lesion-symptom mapping for upper limb spasticity.
The nonparametric Brubber Munzel statistical analysis was used for the continuous severe poststroke upper limb spasticity. Color scale indicates Brunner–Munzel rank order z-statistics. Only voxels significant at P<0.05 are shown. Colored bar represents the z statistics. The statistical map is displaying voxels with a minimum Z score of 2.4083. This matches the false discovery rate threshold. We set the maximum range of the Z score as 6, which be shown as being the maximum brightness.
Fig 4
Fig 4. Statistical voxel-based lesion-symptom mapping for lower limb spasticity.
The nonparametric Brubber Munzel statistical analysis was used for the continuous severe poststroke lower limb spasticity. Color scale indicates Brunner–Munzel rank order z-statistics. Only voxels significant at P<0.05 are shown. Colored bar represents the z statistics. The statistical map is displaying voxels with a minimum Z score of 2.5742. This matches the false discovery rate threshold. We set the maximum range of the Z score as 6, which be shown as being the maximum brightness.

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