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The responses of the models to excitatory inputs reproduced a number of features of human motor unit discharge.
This study details the use and benefit of multilevel models when statistically analyzing motor unit discharge data.
Rectification is believed to produce a general shift in the EMG spectrum towards lower frequencies, including those around the mean motor unit discharge rate.
"... To estimate the potential contributions of PIC (Persistent Inward Current) activation and synaptic input patterns to motor unit discharge patterns, we examined the responses of a set of cable motoneuron models to different patterns of excitatory and inhibitory inputs.
Statistical analysis of motor unit discharge rate commonly uses the ordinary least squares based ANOVA and regression analyses or a repeated-measures ANOVA is used to account for within motor unit variance when the same motor unit is assessed multiple times.
The change in motor unit discharge rate during the fatigue task was related to the initial rate, but the direction of the change in discharge rate could not be predicted from the threshold force of recruitment or the variability in the interimpulse intervals.
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Halliday, D. M. et al. A framework for the analysis of mixed time series/point process data theory and application to the study of physiological tremor, single motor unit discharges and electromyograms.
When a contraction is held at constant force and multiple observations are made on a motor unit, the motor unit discharges are more highly correlated (ICC: 0.41), even after accounting for the effects of multiple motor unit observations.
All patients demonstrated the characteristic EMG discharges consisting of doublet, triplet or multiplet single motor unit discharges with a high intraburst frequency of between 40 400/s (Fig. 1) (Hart et al., 1997; Kiernan et al., 2001).
On EMG testing, doublet, triplet, multiple motor unit discharges and fasciculations were reported in all patients, in keeping with previous reports (Newsom-Davis and Mills, 1993; Kiernan et al., 2001; Hart et al., 2002).
The diagnosis of acquired neuromyotonia relies on the presence of clinical symptoms combined with neurophysiological findings of doublet, triplet or multiplet ('myokymic') motor unit discharges and fasciculations (Hart et al., 2002).
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