Journal of Neuroscience, Vol 9, 1163-1178, Copyright © 1989 by Society for Neuroscience
Cortical areas involved in OKN and VOR in cats: cortical lesions
RJ Tusa, JL Demer and SJ Herdman
Department of Neurology, Johns Hopkins Hospital, Baltimore, Maryland 21205.
Eye movements evoked by optokinetic and vestibular stimulation were
measured by scleral search coil before and up to 8 weeks after unilateral
cortical lesions in 11 cats. During both monocular and binocular viewing
conditions, several deficits in the velocity-storage component of
optokinetic nystagmus (OKN) were found. At low target velocities, the final
steady-state slow-phase eye velocity and the peak value of optokinetic
afternystagmus (OKAN) were reduced for slow phases towards the side of the
lesion. At high target velocities OKN and OKAN were no longer elicited. The
time constant of OKAN was also reduced for slow phases towards the side of
the lesion. These deficits in OKN and OKAN were quantitatively similar in
cats with large cortical (LC) lesions involving all known visual areas and
in cats with suprasylvian (SS) lesions involving areas 21a, 21b, PMLS, and
VLS. Ablation of areas 17 and 18 alone had no effect, but when combined
with section of the corpus callosum (17/18+CC) resulted in a qualitatively
similar but less severe deficit as the LC and SS lesions. By 3 weeks
postoperatively, OKN recovered to near preoperative values in cats with SS
lesions. Vestibular adaptive capabilities were impaired during the duration
of the study in cats with LC, SS, and 17/18+CC lesions. Cats with these
lesions could not normally increase VOR gain for slow phases directed
ipsilateral to the lesion, and following vestibular adaptation most of
these cats developed persistent asymmetries in VOR gain and VOR time
constants. These results can be better conceptualized using a mathematical
model of the vestibulo-ocular and optokinetic system adapted from Robinson
(1977). This model contains a single positive- feedback velocity storage
loop common to the VOR and OKN systems and a retinal-slip velocity
nonlinearity. Our results suggest that SS cortex improves the retinal-slip
nonlinearity feeding into the velocity- storage system by extending its
range and increasing its gain. The SS cortex depends in part upon areas 17
and 18 either directly, or indirectly via the corpus callosum, for
processing of high retinal-slip velocities. Cerebral cortex is also
involved in increasing the gain of the velocity-storage loop during
vestibular adaptation for ipsilaterally directed slow phases.