| Literature DB >> 24126041 |
Yao Liu1, Li Juan Ao, Gang Lu, Elizabeth Leong, Qiang Liu, Xiao Hong Wang, Xian Lun Zhu, Tin Fung David Sun, Zhou Fei, Tian Jiu, Xiang Hu, Wai Sang Poon.
Abstract
Gait analysis is a systematic collection of quantitative information on bodily movements during locomotion. Gait analysis has been employed clinically in stroke patients for their rehabilitation planning. In animal studies, gait analysis has been employed for the assessment of their locomotive disturbances in ischemic stroke, spinal cord injury and Parkinson's disease. The aims of the work reported here were to identify the gait parameters, collected from the computer-generated CatWalk System, that change after unilateral intracerebral hemorrhage (ICH) in the acute stage and long term up to 56 days post-ICH. The results showed that with the collagenase-induced unilateral striatal lesion, the rats displayed a significant contralateral decrease in print and maximum contact area and paw intensity, a diagonal increase in the stance duration of the left front and right hind paws, a significant decrease in the stride length of all four limbs, and foot pattern instability as reflected by the base of support, support on styles, and cadence. These deficits, including those in print area, stance and pressure, were demonstrated throughout the long-term period following ICH. The correlations between the gait parameters, lesion volume and asymmetrical forelimb use were also reported in this paper. This work has provided a systematic description on gait parameters in the classical striatal ICH model, which might become an essential assessment tool in future studies of pathophysiology and the development of novel treatments for experimental unilateral intracerebral hemorrhage with gait deficits.Entities:
Keywords: Gait analysis; Hematoma volume; Intracerebral hemorrhage; Long term investigation; Unilateral striatal impairment
Mesh:
Year: 2013 PMID: 24126041 DOI: 10.1016/j.bbr.2013.10.007
Source DB: PubMed Journal: Behav Brain Res ISSN: 0166-4328 Impact factor: 3.332