Abstract
Rodent models of Parkinson's disease (PD) are usually assessed using measures of akinesia, but other important parkinsonian symptoms such as rigidity are only rarely quantified. This is in part due to technical difficulties in obtaining such measures in small animals. In the present study we developed quantitative methods to provide time-course assessment of the alternations of muscle tone of parkinsonian rats. A portable and miniature biomechanical stretching device was established to manually stretch the hindlimb of awake rats with muscle rigidity induced by dopamine D2-receptor antagonist raclopride (5 mg/kg, i.p.). From the measured angular displacement angle and reactive torque of sinusoidal stretches at five varied frequencies, viscoelastic components of the muscle tone can be derived. In addition, non-invasive multielectrode was applied to record the tonic and phasic components of the gastrocnemius muscle electromyogram (EMG). Our biomechanical measurements showed not only increase in stiffness (P<0.05) but also increase in viscous components (P<0.05) that matched the time course of increased amplitude of EMG activity (P<0.05). There was a significant positive correlation between all of these measures and akinesia, as measured by the conventional bar-test for catalepsy (with a correlation coefficient of 0.87 at stiffness, 0.92 at viscosity and 0.96 at amplitude of EMG). Phasic contraction counts (PCC) of voluntary EMG exhibited a significantly negative correlation with the bar test scores (correlation coefficient=-0.78). These results confirm that akinesia induced by D2-receptor blockade also induces a rigidity that shares many features with human PD. These novel techniques for quantifying biomechanical and electromyographic parameters provide objective assessment methods for investigating the time-course changes of abnormal muscle tone in rat models of PD that will be useful for evaluating novel treatments.
Original language | English |
---|---|
Pages (from-to) | 183-196 |
Number of pages | 14 |
Journal | Neuroscience |
Volume | 147 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2007 Jun 15 |
All Science Journal Classification (ASJC) codes
- General Neuroscience