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The Journal of Neurophysiology Vol. 88 No. 3 September 2002, pp. 1533-1544
Copyright ©2002 by the American Physiological Society
Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, Queen Square London, WC1N 3BG, United Kingdom
Jones, Kelvin E.,
Antonia F. de
C. Hamilton, and
Daniel M. Wolpert.
Sources of Signal-Dependent Noise During Isometric
Force Production. J. Neurophysiol. 88: 1533-1544, 2002. It has been proposed that the invariant
kinematics observed during goal-directed movements result from reducing
the consequences of signal-dependent noise (SDN) on motor output. The
purpose of this study was to investigate the presence of SDN during
isometric force production and determine how central and peripheral
components contribute to this feature of motor control. Peripheral and
central components were distinguished experimentally by comparing
voluntary contractions to those elicited by electrical stimulation of
the extensor pollicis longus muscle. To determine other factors of motor-unit physiology that may contribute to SDN, a model was constructed and its output compared with the empirical data. SDN was
evident in voluntary isometric contractions as a linear scaling of
force variability (SD) with respect to the mean force level. However,
during electrically stimulated contractions to the same force levels,
the variability remained constant over the same range of mean forces.
When the subjects were asked to combine voluntary with
stimulation-induced contractions, the linear scaling relationship
between the SD and mean force returned. The modeling results highlight
that much of the basic physiological organization of the motor-unit
pool, such as range of twitch amplitudes and range of recruitment
thresholds, biases force output to exhibit linearly scaled SDN. This is
in contrast to the square root scaling of variability with mean force
present in any individual motor-unit of the pool. Orderly recruitment
by twitch amplitude was a necessary condition for producing linearly
scaled SDN. Surprisingly, the scaling of SDN was independent of the
variability of motoneuron firing and therefore by inference,
independent of presynaptic noise in the motor command. We conclude that
the linear scaling of SDN during voluntary isometric contractions is a
natural by-product of the organization of the motor-unit pool that does
not depend on signal-dependent noise in the motor command. Synaptic
noise in the motor command and common drive, which give rise to the variability and synchronization of motoneuron spiking, determine the
magnitude of the force variability at a given level of mean force output.
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