title: A simulation study to examine the effect of common motoneuron inputs on correlated patterns of motor unit discharge.
abstract: The influence of common oscillatory inputs to the motoneuron pool on correlated patterns of motor unit discharge was examined using model simulations. Motor unit synchronization, in-phase fluctuations in mean firing rates known as 'common drive', and the coefficient of variation of the muscle force were examined as the frequency and amplitude of common oscillatory inputs to the motoneuron pool were varied. The amount of synchronization, the peak correlation between mean firing rates and the coefficient of variation of the force varied with both the frequency and amplitude of the common input signal. Values for 'common drive' and the force coefficient of variation were highest for oscillatory inputs at frequencies less than 5 Hz, while synchronization reached a maximum when the frequency of the common input was close to the average motor unit firing rate. The frequency of the common input signal for which the highest levels of synchronization were observed increased as motoneuron firing rates increased in response to higher target force levels. The simulation results suggest that common low-frequency oscillations in motor unit firing rates and short-term synchronization result from oscillatory activity in different bands of the frequency spectrum of shared motoneuron inputs. The results also indicate that the amount of synchronization between motor unit discharges depends not only on the amplitude of the shared input signal, but also on its frequency in relation to the present firing rates of the individual motor units.
authors.affiliation: Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Illinois, USA. m-lowery@northwestern.edu
authors.forename: Madeleine M
authors.initials: MM
authors.lastname: Lowery
authors.forename: Zeynep
authors.initials: Z
authors.lastname: Erim
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D002118:Calcium / Q000378:metabolism; D002415:Cats; D003198:Computer Simulation; D004558:Electric Stimulation / Q000379:methods; D008959:Models, Neurological; D009046:Motor Neurons / Q000145:classification / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D011188:Potassium / Q000378:metabolism; D013997:Time Factors
chemical_list: D011188:Potassium; D002118:Calcium