CatWalk gait analysis in assessment of functional recovery after sciatic nerve injury

Abstract

Following peripheral nerve injury repair, improved behavioural outcome may be the most important evidence of functionality of axon regeneration after any repair strategy. A range of behavioural testing paradigms have been developed for peripheral nerve injury research. Complete injury of the adult rat sciatic nerve is frequently used in combination with walking track analysis. Despite its wide-spread use, these walking track analyses are unsuitable for the simultaneous assessment of both dynamic and static gait parameters. Conversely, a novel automated gait analysis system, i.e. CatWalk can simultaneously measure dynamic as well as static gait parameters and, importantly, it's easy to control for the speed of locomotion which can strongly affect gait parameters. In a previous study, CatWalk was already successfully used to examine deficits in both dynamic and static gait parameters using the sciatic nerve lesion model with a 1cm gap characterized by absence of recovery [Deumens R, Jaken RJ, Marcus MA, Joosten EA. The CatWalk gait analysis in assessment of both dynamic and static gait changes after adult rat sciatic nerve resection. J Neurosci Methods 2007;164:120–30]. Using the sciatic nerve crush injury model (validated with the static sciatic index) and a follow-up period of 12 weeks, we now show that CatWalk can also measure behavioural recovery. In particular dynamic gait parameters, coordination measures, and the intensity of paw prints are of interest in detecting recovery as far as these parameters completely return to pre-operative values after crush injury. We conclude that CatWalk can be used as a complementary approach to other behavioural testing paradigms to assess clinically relevant behavioural benefits, with a main advantage that CatWalk demonstrates both static and dynamic gait parameters at the same time.