Résumé
Kinematic gait analysis in the sagittal plane has frequently been used to characterize motor deficits in multiple sclerosis (MS). We describe the application of these techniques to identify gait deficits in a mouse model of MS, known as experimental autoimmune encephalomyelitis (EAE). Paralysis and motor deficits in mice subjected to EAE are typically assessed using a clinical scoring scale. However, this scale yields only ordinal data that provides little information about the precise nature of the motor deficits. EAE disease severity has also been assessed by rotarod performance, which provides a measure of general motor coordination. By contrast, kinematic gait analysis of the hind limb in the sagittal plane generates highly precise information about how movement is impaired. To perform this procedure, reflective markers are placed on a hind limb to detect joint movement while a mouse is walking on a treadmill. Motion analysis software is used to measure movement of the markers during walking. Kinematic gait parameters are then derived from the resultant data. We show how these gait parameters can be used to quantify impaired movements of the hip, knee, and ankle joints in EAE. These techniques may be used to better understand disease mechanisms and identify potential treatments for MS and other neurodegenerative disorders that impair mobility.
Langue d'origine | English |
---|---|
Numéro d'article | e56032 |
Journal | Journal of Visualized Experiments |
Volume | 2017 |
Numéro de publication | 129 |
DOI | |
Statut de publication | Published - nov. 4 2017 |
Note bibliographique
Funding Information:We would like to acknowledge Sid Chedrawe for his technical assistance with filming. This work was supported by funding from the MS Society of Canada (EGID 2983).
Publisher Copyright:
© 2017 Journal of Visualized Experiments.
ASJC Scopus Subject Areas
- General Neuroscience
- General Chemical Engineering
- General Biochemistry,Genetics and Molecular Biology
- General Immunology and Microbiology