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The Journal of Neurophysiology Vol. 82 No. 5 November 1999, pp. 2612-2632
Copyright ©1999 by the American Physiological Society
Aerospace Medical Research Unit, McGill University, Montreal, Quebec H3G 1Y6, Canada
Sylvestre, Pierre A. and
Kathleen E. Cullen.
Quantitative Analysis of Abducens Neuron Discharge Dynamics
During Saccadic and Slow Eye Movements. J. Neurophysiol. 82: 2612-2632, 1999. The mechanics of the eyeball
and its surrounding tissues, which together form the oculomotor plant,
have been shown to be the same for smooth pursuit and saccadic eye
movements. Hence it was postulated that similar signals would be
carried by motoneurons during slow and rapid eye movements. In the
present study, we directly addressed this proposal by determining which
eye movement-based models best describe the discharge dynamics of
primate abducens neurons during a variety of eye movement behaviors. We
first characterized abducens neuron spike trains, as has been
classically done, during fixation and sinusoidal smooth pursuit. We
then systematically analyzed the discharge dynamics of abducens neurons
during and following saccades, during step-ramp pursuit and during high
velocity slow-phase vestibular nystagmus. We found that the commonly
utilized first-order description of abducens neuron firing rates
(FR = b + kE + r
, where FR is firing rate, E and
are eye
position and velocity, respectively, and b,
k, and r are constants) provided an
adequate model of neuronal activity during saccades, smooth pursuit,
and slow phase vestibular nystagmus. However, the use of a second-order
model, which included an exponentially decaying term or "slide"
(FR = b + kE + r
+ uË
c
), notably improved our ability to describe
neuronal activity when the eye was moving and also enabled us to model
abducens neuron discharges during the postsaccadic interval. We also
found that, for a given model, a single set of parameters could not be
used to describe neuronal firing rates during both slow and rapid eye movements. Specifically, the eye velocity and position coefficients (r and k in the above models,
respectively) consistently decreased as a function of the mean (and
peak) eye velocity that was generated. In contrast, the bias
(b, firing rate when looking straight ahead) invariably
increased with eye velocity. Although these trends are likely to
reflect, in part, nonlinearities that are intrinsic to the extraocular
muscles, we propose that these results can also be explained by
considering the time-varying resistance to movement that is generated
by the antagonist muscle. We conclude that to create realistic and
meaningful models of the neural control of horizontal eye movements, it
is essential to consider the activation of the antagonist, as well as
agonist motoneuron pools.
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