Kinematic and electromyographic tools for characterizing movement disorders in mice.

Increasing interest in rodent models for movement disorders has led to an increasing need for more accurate and precise methods for both delineating the nature of abnormal movements and measuring their severity. These studies describe application of simultaneous high-speed video kinematics with multichannel electromyography (EMG) to characterize the movement disorder exhibited by tottering mutant mice. These mice provide a uniquely valuable model, because they exhibit paroxysmal dystonia superimposed on mild baseline ataxia, permitting the examination of these two different problems within the same animals. At baseline with mild ataxia, the mutants exhibited poorly coordinated movements with increased variation of stance and swing times, and slower spontaneous walking velocities. The corresponding EMG showed reduced mean amplitudes of biceps femoris and vastus lateralis, and poorly modulated EMG activities during the step cycle. Attacks of paroxysmal dystonia were preceded by trains of EMG bursts with doublets and triplets simultaneously in the biceps femoris and vastus lateralis followed by more sustained coactivation. These EMG characteristics are consistent with the clinical phenomenology of the motor phenotype of tottering mice as a baseline of mild ataxia with intermittent attacks of paroxysmal dystonia. The EMG characteristics of ataxia and dystonia in the tottering mice also are consistent with EMG studies of other ataxic or dystonic animals and humans. These studies provide insights into how these methods can be used for delineating movement disorders in mice and for how they may be compared with similar disorders of humans.

Treadmill locomotion in normal mice-Step related multi-channel EMG profiles of thigh muscles.

Mouse models are increasingly used in current research on motor disorders. In mice, the myoelectrical activation of thigh muscles during locomotion has not yet, however, been investigated in depth. Especially intramuscular coordination has hardly been clarified. Therefore, the aims of this study were to characterize myoelectrical activity in the vastus lateralis (VL) and the biceps femoris (BF) muscle of the healthy mouse for reference purposes. The VL and the BF muscles of 12 healthy mice performing a total of 1985 steps during treadmill locomotion were investigated with two subcutaneous arrays each incorporating four electrodes. Eight-channel EMG was recorded simultaneously with high-speed videography. The EMG curves of each step were rectified and smoothed by calculating root mean square (RMS) profiles and then time-normalized for comparisons within and between animals. The EMG-activity of both muscles increased during late swing phase. The VL activity rose steeply and peaked during mid-stance phase, while the biceps activity reached a plateau during early stance phase. With increasing gait velocity, stance time decreased. The increase in gait velocity was also associated with greater EMG amplitudes. The results suggest that the BF lifts the lower hind leg during swing phase and stabilizes the leg during stance, while the VL bears the weight of the body during the stance phase.

Multi-channel EMG of the M. triceps brachii in rats during treadmill locomotion.

OBJECTIVES: The study aims at a precise characterisation of intramuscularly varying recruitment patterns within the triceps brachii muscle (long and lateral head; proximal, medial, distal regions) in the time course of averaged step cycles during locomotion. METHODS: The triceps brachii muscle of 15 Hannover rats was investigated with a supramuscular 16-electrodes grid during treadmill locomotion. Multi-channel electromyogram (EMG) was recorded simultaneously with high-speed videography. The rectified and smoothed EMG was time-normalised. EMG profiles and dynamic EMG-map series were calculated. Differences between EMG distribution patterns were tested by multivariate analysis of variance. RESULTS: In the pre-stance phase EMG activity increased especially in the proximal long head. It most likely propagated from lower muscle layers of the long head. During stance phase the EMG activity of the lateral head rose steeply and exceeded those of the long head in short time. The fastest steps show the highest EMG amplitudes. CONCLUSIONS: EMG registrations with grid electrodes help in the identification of intramuscular co-ordination processes during locomotion. While the EMG profiles characterise the time course, the topographical distribution is better represented in dynamic EMG interference maps. The dynamic changing activation patterns of triceps brachii depend on the phase of the step cycle. This clearly indicates the different functions of the muscle heads.