title: Coherence between motor unit discharges in response to shared neural inputs.
abstract: Coherence analysis is widely employed to study the correlation between discharge times of simultaneously active motor units. Despite the widespread application of the technique, it has not been fully established how the characteristics of the observed coherence are related to the properties of the shared motoneuron inputs. In addition, the exact relationship between coherence and traditional measures of motor unit synchronization remains unclear. The purpose of this study was to examine the influence of shared motoneuron inputs on coherence between motor unit discharge patterns using computer simulations. Although less sensitive to motor unit firing rates than traditional synchronization-based indices, coherence tended to decrease with increasing frequency of the common input and to increase slightly when the common input frequency was close to the motor unit firing rates. In addition, coherence tended to be highest between motor units with similar firing rates. A linear association was observed between synchronization and coherence in the 15-30 Hz range and between 'common drive' and coherence in the 0-5 Hz range. The results suggest that caution should be taken when interpreting differences in coherence observed between motor units with significantly different firing properties or when comparing data with coherence in different frequency ranges.
authors.affiliation: School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Dublin, Ireland. madeleine.lowery@ucd.ie <madeleine.lowery@ucd.ie>
authors.forename: Madeleine M
authors.initials: MM
authors.lastname: Lowery
authors.forename: Lance J
authors.initials: LJ
authors.lastname: Myers
authors.forename: Zeynep
authors.initials: Z
authors.lastname: Erim
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D004525:Efferent Pathways / Q000502:physiology*; D004594:Electrophysiology / Q000379:methods; D006801:Humans; D008959:Models, Neurological; D009044:Motor Cortex / Q000502:physiology*; D009046:Motor Neurons / Q000502:physiology*; D018482:Muscle, Skeletal / Q000294:innervation / Q000502:physiology*; D009469:Neuromuscular Junction / Q000502:physiology; D009482:Neurophysiology / Q000379:methods; D016011:Normal Distribution; D012815:Signal Processing, Computer-Assisted; D013116:Spinal Cord / Q000502:physiology; D013569:Synapses / Q000502:physiology; D009435:Synaptic Transmission / Q000502:physiology