Similarity in Neuronal Firing Regimes across Mammalian Species.

UNLABELLED: The architectonic subdivisions of the brain are believed to be functional modules, each processing parts of global functions. Previously, we showed that neurons in different regions operate in different firing regimes in monkeys. It is possible that firing regimes reflect differences in underlying information processing, and consequently the firing regimes in homologous regions across animal species might be similar. We analyzed neuronal spike trains recorded from behaving mice, rats, cats, and monkeys. The firing regularity differed systematically, with differences across regions in one species being greater than the differences in similar areas across species. Neuronal firing was consistently most regular in motor areas, nearly random in visual and prefrontal/medial prefrontal cortical areas, and bursting in the hippocampus in all animals examined. This suggests that firing regularity (or irregularity) plays a key role in neural computation in each functional subdivision, depending on the types of information being carried. SIGNIFICANCE STATEMENT: By analyzing neuronal spike trains recorded from mice, rats, cats, and monkeys, we found that different brain regions have intrinsically different firing regimes that are more similar in homologous areas across species than across areas in one species. Because different regions in the brain are specialized for different functions, the present finding suggests that the different activity regimes of neurons are important for supporting different functions, so that appropriate neuronal codes can be used for different modalities.

Clinical application of eye movement tasks as an aid to understanding Parkinson's disease pathophysiology.

Parkinson's disease (PD) is a progressive neurodegenerative disorder of the basal ganglia. Most PD patients suffer from somatomotor and oculomotor disorders. The oculomotor system facilitates obtaining accurate information from the visual world. If a target moves slowly in the fronto-parallel plane, tracking eye movements occur that consist primarily of smooth-pursuit interspersed with corrective saccades. Efficient smooth-pursuit requires appropriate target selection and predictive compensation for inherent processing delays. Although pursuit impairment, e.g. as latency prolongation or low gain (eye velocity/target velocity), is well known in PD, normal aging alone results in such changes. In this article, we first briefly review some basic features of smooth-pursuit, then review recent results showing the specific nature of impaired pursuit in PD using a cue-dependent memory-based smooth-pursuit task. This task was initially used for monkeys to separate two major components of prediction (image-motion direction memory and movement preparation), and neural correlates were examined in major pursuit pathways. Most PD patients possessed normal cue-information memory but extra-retinal mechanisms for pursuit preparation and execution were dysfunctional. A minority of PD patients had abnormal cue-information memory or difficulty in understanding the task. Some PD patients with normal cue-information memory changed strategy to initiate smooth tracking. Strategy changes were also observed to compensate for impaired pursuit during whole body rotation while the target moved with the head. We discuss PD pathophysiology by comparing eye movement task results with neuropsychological and motor symptom evaluations of individual patients and further with monkey results, and suggest possible neural circuits for these functions/dysfunctions.

Normal aging affects movement execution but not visual motion working memory and decision-making delay during cue-dependent memory-based smooth-pursuit.

Aging affects virtually all functions including sensory/motor and cognitive activities. While retinal image motion is the primary input for smooth-pursuit, its efficiency/accuracy depends on cognitive processes. Elderly subjects exhibit gain decrease during initial and steady-state pursuit, but reports on latencies are conflicting. Using a cue-dependent memory-based smooth-pursuit task, we identified important extra-retinal mechanisms for initial pursuit in young adults including cue information priming and extra-retinal drive components (Ito et al. in Exp Brain Res 229:23-35, 2013). We examined aging effects on parameters for smooth-pursuit using the same tasks. Elderly subjects were tested during three task conditions as previously described: memory-based pursuit, simple ramp-pursuit just to follow motion of a single spot, and popping-out of the correct spot during memory-based pursuit to enhance retinal image motion. Simple ramp-pursuit was used as a task that did not require visual motion working memory. To clarify aging effects, we then compared the results with the previous young subject data. During memory-based pursuit, elderly subjects exhibited normal working memory of cue information. Most movement-parameters including pursuit latencies differed significantly between memory-based pursuit and simple ramp-pursuit and also between young and elderly subjects. Popping-out of the correct spot motion was ineffective for enhancing initial pursuit in elderly subjects. However, the latency difference between memory-based pursuit and simple ramp-pursuit in individual subjects, which includes decision-making delay in the memory task, was similar between the two groups. Our results suggest that smooth-pursuit latencies depend on task conditions and that, although the extra-retinal mechanisms were functional for initial pursuit in elderly subjects, they were less effective.

No-go neurons in the cerebellar oculomotor vermis and caudal fastigial nuclei: planning tracking eye movements.

The cerebellar dorsal vermis lobules VI-VII (oculomotor vermis) and its output region (caudal fastigial nuclei, cFN) are involved in tracking eye movements consisting of both smooth-pursuit and saccades, yet, the exact role of these regions in the control of tracking eye movements is still unclear. We compared the neuronal discharge of these cerebellar regions using a memory-based, smooth-pursuit task that distinguishes discharge related to movement preparation and execution from the discharge related to the processing of visual motion signals or their memory. Monkeys were required to pursue (i.e., go), or not pursue (i.e., no-go) in a cued direction, based on the memory of visual motion direction and go/no-go instructions. Most (>60 %) of task-related vermal Purkinje cells (P-cells) and cFN neurons discharged specifically during the memory period following no-go instructions; their discharge was correlated with memory of no-go instructions but was unrelated to eye movements per se during the action period of go trials. The latencies of no-go discharge of vermal P-cells and cFN neurons were similar, but were significantly longer than those of supplementary eye field (SEF) no-go neurons during an identical task. Movement-preparation signals were found in ~30 % of smooth-pursuit-related neurons in these cerebellar regions and some of them also carried visual memory signals. Our results suggest that no-go neurons are a newly revealed class of neurons, detected using the memory-based pursuit task, in the oculomotor vermis-cFN pathway and that this pathway contributes specifically to planning requiring the working memory of no-go instructions and preparation of tracking eye movements.

Cue-dependent memory-based smooth-pursuit in normal human subjects: importance of extra-retinal mechanisms for initial pursuit.

Using a cue-dependent memory-based smooth-pursuit task previously applied to monkeys, we examined the effects of visual motion-memory on smooth-pursuit eye movements in normal human subjects and compared the results with those of the trained monkeys. These results were also compared with those during simple ramp-pursuit that did not require visual motion-memory. During memory-based pursuit, all subjects exhibited virtually no errors in either pursuit-direction or go/no-go selection. Tracking eye movements of humans and monkeys were similar in the two tasks, but tracking eye movements were different between the two tasks; latencies of the pursuit and corrective saccades were prolonged, initial pursuit eye velocity and acceleration were lower, peak velocities were lower, and time to reach peak velocities lengthened during memory-based pursuit. These characteristics were similar to anticipatory pursuit initiated by extra-retinal components during the initial extinction task of Barnes and Collins (J Neurophysiol 100:1135-1146, 2008b). We suggest that the differences between the two tasks reflect differences between the contribution of extra-retinal and retinal components. This interpretation is supported by two further studies: (1) during popping out of the correct spot to enhance retinal image-motion inputs during memory-based pursuit, pursuit eye velocities approached those during simple ramp-pursuit, and (2) during initial blanking of spot motion during memory-based pursuit, pursuit components appeared in the correct direction. Our results showed the importance of extra-retinal mechanisms for initial pursuit during memory-based pursuit, which include priming effects and extra-retinal drive components. Comparison with monkey studies on neuronal responses and model analysis suggested possible pathways for the extra-retinal mechanisms.

Activity of pursuit-related neurons in medial superior temporal area (MST) during static roll-tilt.

Recent studies have shown that rhesus macaques can perceive visual motion direction in earth-centered coordinates as accurately as humans. We tested whether coordinate frames representing smooth pursuit and/or visual motion signals in medial superior temporal area (MST) are earth centered to better understand its role in coordinating smooth pursuit. In 2 Japanese macaques, we compared preferred directions (re monkeys' head-trunk axis) of pursuit and/or visual motion responses of MSTd neurons while upright and during static whole-body roll-tilt. In the majority (41/51 = 80%) of neurons tested, preferred directions of pursuit and/or visual motion responses were not significantly different while upright and during 40° static roll-tilt. Preferred directions of the remaining 20% of neurons (n = 10) were shifted beyond the range expected from ocular counter-rolling; the maximum shift was 14°, and the mean shift was 12°. These shifts, however, were still less than half of the expected shift if MST signals are coded in the earth-centered coordinates. Virtually, all tested neurons (44/46 = 96%) failed to exhibit a significant difference between resting discharge rate while upright and during static roll-tilt while fixating a stationary spot. These results suggest that smooth pursuit and/or visual motion signals of MST neurons are not coded in the earth-centered coordinates; our results favor the head- and/or trunk-centered coordinates.

Neuronal activity in the caudal frontal eye fields of monkeys during memory-based smooth pursuit eye movements: comparison with the supplementary eye fields.

Recently, we examined the neuronal substrate of predictive pursuit during memory-based smooth pursuit and found that supplementary eye fields (SEFs) contain signals coding assessment and memory of visual motion direction, decision not-to-pursue ("no-go"), and preparation for pursuit. To determine whether these signals were unique to the SEF, we examined the discharge of 185 task-related neurons in the caudal frontal eye fields (FEFs) in 2 macaques. Visual motion memory and no-go signals were also present in the caudal FEF but compared with those in the SEF, the percentage of neurons coding these signals was significantly lower. In particular, unlike SEF neurons, directional visual motion responses of caudal FEF neurons decayed exponentially. In contrast, the percentage of neurons coding directional pursuit eye movements was significantly higher in the caudal FEF than in the SEF. Unlike SEF inactivation, muscimol injection into the caudal FEF did not induce direction errors or no-go errors but decreased eye velocity during pursuit causing an inability to compensate for the response delays during sinusoidal pursuit. These results indicate significant differences between the 2 regions in the signals represented and in the effects of chemical inactivation suggesting that the caudal FEF is primarily involved in generating motor commands for smooth-pursuit eye movements.

Neuronal activity in medial superior temporal area (MST) during memory-based smooth pursuit eye movements in monkeys.

We examined recently neuronal substrates for predictive pursuit using a memory-based smooth pursuit task that distinguishes the discharge related to memory of visual motion-direction from that related to movement preparation. We found that the supplementary eye fields (SEF) contain separate signals coding memory and assessment of visual motion-direction, decision not-to-pursue, and preparation for pursuit. Since medial superior temporal area (MST) is essential for visual motion processing and projects to SEF, we examined whether MST carried similar signals. We analyzed the discharge of 108 MSTd neurons responding to visual motion stimuli. The majority (69/108 = 64%) were also modulated during smooth pursuit. However, in nearly all (104/108 = 96%) of the MSTd neurons tested, there was no significant discharge modulation during the delay periods that required memory of visual motion-direction or preparation for smooth pursuit or not-to-pursue. Only 4 neurons of the 108 (4%) exhibited significantly higher discharge rates during the delay periods; however, their responses were non-directional and not instruction specific. Representative signals in the MSTd clearly differed from those in the SEF during memory-based smooth pursuit. MSTd neurons are unlikely to provide signals for memory of visual motion-direction or preparation for smooth pursuit eye movements.

Representation of neck velocity and neck-vestibular interactions in pursuit neurons in the simian frontal eye fields.

The smooth pursuit system must interact with the vestibular system to maintain the accuracy of eye movements in space (i.e., gaze-movement) during head movement. Normally, the head moves on the stationary trunk. Vestibular signals cannot distinguish whether the head or whole body is moving. Neck proprioceptive inputs provide information about head movements relative to the trunk. Previous studies have shown that the majority of pursuit neurons in the frontal eye fields (FEF) carry visual information about target velocity, vestibular information about whole-body movements, and signal eye- or gaze-velocity. However, it is unknown whether FEF neurons carry neck proprioceptive signals. By passive trunk-on-head rotation, we tested neck inputs to FEF pursuit neurons in 2 monkeys. The majority of FEF pursuit neurons tested that had horizontal preferred directions (87%) responded to horizontal trunk-on-head rotation. The modulation consisted predominantly of velocity components. Discharge modulation during pursuit and trunk-on-head rotation added linearly. During passive head-on-trunk rotation, modulation to vestibular and neck inputs also added linearly in most neurons, although in half of gaze-velocity neurons neck responses were strongly influenced by the context of neck rotation. Our results suggest that neck inputs could contribute to representing eye- and gaze-velocity FEF signals in trunk coordinates.

Relating neuronal firing patterns to functional differentiation of cerebral cortex.

It has been empirically established that the cerebral cortical areas defined by Brodmann one hundred years ago solely on the basis of cellular organization are closely correlated to their function, such as sensation, association, and motion. Cytoarchitectonically distinct cortical areas have different densities and types of neurons. Thus, signaling patterns may also vary among cytoarchitectonically unique cortical areas. To examine how neuronal signaling patterns are related to innate cortical functions, we detected intrinsic features of cortical firing by devising a metric that efficiently isolates non-Poisson irregular characteristics, independent of spike rate fluctuations that are caused extrinsically by ever-changing behavioral conditions. Using the new metric, we analyzed spike trains from over 1,000 neurons in 15 cortical areas sampled by eight independent neurophysiological laboratories. Analysis of firing-pattern dissimilarities across cortical areas revealed a gradient of firing regularity that corresponded closely to the functional category of the cortical area; neuronal spiking patterns are regular in motor areas, random in the visual areas, and bursty in the prefrontal area. Thus, signaling patterns may play an important role in function-specific cerebral cortical computation.

Eye-pursuit and reafferent head movement signals carried by pursuit neurons in the caudal part of the frontal eye fields during head-free pursuit.

Eye and head movements are coordinated during head-free pursuit. To examine whether pursuit neurons in frontal eye fields (FEF) carry gaze-pursuit commands that drive both eye-pursuit and head-pursuit, monkeys whose heads were free to rotate about a vertical axis were trained to pursue a juice feeder with their head and a target with their eyes. Initially the feeder and target moved synchronously with the same visual angle. FEF neurons responding to this gaze-pursuit were tested for eye-pursuit of target motion while the feeder was stationary and for head-pursuit while the target was stationary. The majority of pursuit neurons exhibited modulation during head-pursuit, but their preferred directions during eye-pursuit and head-pursuit were different. Although peak modulation occurred during head movements, the onset of discharge usually was not aligned with the head movement onset. The minority of neurons whose discharge onset was so aligned discharged after the head movement onset. These results do not support the idea that the head-pursuit-related modulation reflects head-pursuit commands. Furthermore, modulation similar to that during head-pursuit was obtained by passive head rotation on stationary trunk. Our results suggest that FEF pursuit neurons issue gaze or eye movement commands during gaze-pursuit and that the head-pursuit-related modulation primarily reflects reafferent signals resulting from head movements.

Otolith inputs to pursuit neurons in the frontal eye fields of alert monkeys.

The smooth-pursuit system must interact with the vestibular system to maintain the accuracy of eye movements in space during head movement. Maintenance of a target image on the foveae is required not only during head rotation which activates primarily semi-circular canals but also during head translation which activates otolith organs. The caudal part of the frontal eye fields (FEF) contains pursuit neurons. The majority of them receive vestibular inputs induced by whole body rotation. However, it has not been tested whether FEF pursuit neurons receive otolith inputs. In the present study, we first classified FEF pursuit neurons as belonging to one of three groups (vergence + fronto-parallel pursuit, vergence only, fronto-parallel pursuit only) based on their responses during fronto-parallel pursuit and mid-sagittal vergence-pursuit. We, then, tested discharge modulation of these neurons during fore/aft and/or right/left translation by passively moving the whole body sinusoidally at 0.33 Hz (+/-10 cm, peak velocity 19 cm/s; 0.04g). The majority of FEF pursuit neurons in all three groups were activated by fore/aft and right/left translation without a target in complete darkness. There was no correlation between the magnitude of discharge modulation and translational vestibulo-ocular reflex (VOR). Preferred directions of translational responses were distributed nearly evenly in front of the monkeys. Discharge modulation was also observed when a target moved together with whole body, requiring the monkeys to cancel the translational VOR. These results indicate that the discharge modulation of FEF pursuit neurons during whole body translation reflected otolith inputs.

Discharge of pursuit neurons in the caudal part of the frontal eye fields during cross-axis vestibular-pursuit training in monkeys.

Previous studies in monkeys have shown that pursuit training during orthogonal whole body rotation results in task-dependent, predictive pursuit eye movements. We examined whether pursuit neurons in the frontal eye fields (FEF) are involved in predictive pursuit induced by vestibular-pursuit training. Two monkeys were rotated horizontally at 20 degrees/s for 0.5 s either rightward or leftward with random inter-trial intervals. This chair motion trajectory was synchronized with orthogonal target motion at 20 degrees/s for 0.5 s either upward or downward. Monkeys were rewarded for pursuing the target. Vertical pursuit eye velocities and discharge of 23 vertical pursuit neurons to vertical target motion were compared before training and during the last 5 min of the 25-45 min training. The latencies of discharge modulation of 61% of the neurons (14/23) shortened after vestibular-pursuit training in association with a shortening of pursuit latency. However, their discharge modulation occurred after 100 ms following the onset of pursuit eye velocity. Only four neurons (4/23 = 17%) discharged before the eye movement onset. A significant change was not observed in eye velocity and FEF pursuit neuron discharge during pursuit alone after training without vestibular stimulation. Vestibular stimulation alone without a target after training induced no clear response. These results suggest that the adaptive change in response to pursuit prediction was induced by vestibular inputs in the presence of target pursuit. FEF pursuit neurons are unlikely to be involved in the initial stage of generating predictive eye movements. We suggest that they may participate in the maintenance of predictive pursuit.

Discharge of pursuit-related neurons in the caudal part of the frontal eye fields in juvenile monkeys with up-down pursuit asymmetry.

The smooth-pursuit system uses retinal image-slip-velocity information of target motion to match eye velocity to actual target velocity. The caudal part of the frontal eye fields (FEF) contains neurons whose activity is related to direction and velocity of smooth-pursuit eye movements (pursuit neurons), and these neurons are thought to issue a pursuit command. During normal pursuit in well-trained adult monkeys, a pursuit command is usually not differentiable from the actual eye velocity. We examined whether FEF pursuit neurons signaled the actual eye velocity during pursuit in juvenile monkeys that exhibited intrinsic differences between upward and downward pursuit capabilities. Two, head-stabilized Japanese monkeys of 4 years of age were tested for sinusoidal vertical pursuit of target motion at 0.2-1.2 Hz (+/-10 degrees, peak target velocity 12.5-75.0 degrees/s). Gains of downward pursuit were 0.8-0.9 at 0.2-1.0 Hz, and peak downward eye velocity increased up to approximately 60 degrees/s linearly with target velocity, whereas peak upward eye velocity saturated at 15-20 degrees/s. The majority of downward FEF pursuit neurons increased the amplitude of their discharge modulation almost linearly up to 1.2 Hz. The majority of upward FEF pursuit neurons also increased amplitude of modulation nearly linearly as target frequency increased, and the regression slope was similar to that of downward pursuit neurons despite the fact that upward peak eye velocity saturated at approximately 0.5 Hz. These results indicate that the responses of the majority of upward FEF pursuit neurons did not signal the actual eye velocity during pursuit. We suggest that their activity reflected primarily the required eye velocity.

Involvement of the cerebellar dorsal vermis in vergence eye movements in monkeys.

Frontal-eyed primates use both smooth pursuit in frontoparallel planes (frontal pursuit) and pursuit-in-depth (vergence pursuit) to track objects moving slowly in 3-dimensional (3D) space. To understand how 3D-pursuit signals represented in frontal eye fields are processed further by downstream pathways, monkeys were trained to pursue a spot moving in 3D virtual space. We characterized pursuit signals in Purkinje (P) cells in the cerebellar dorsal vermis and their discharge during vergence pursuit. In 41% of pursuit P-cells, 3D-pursuit signals were observed. However, the majority of vermal-pursuit P-cells (59%) discharged either for vergence pursuit (43%) or for frontal pursuit (16%). Moreover, the majority (74%) of vergence-related P-cells carried convergence signals, displaying both vergence eye position and velocity sensitivity during sinusoidal and step vergence eye movements. Preferred frontal-pursuit directions of vergence + frontal-pursuit P-cells were distributed in all directions. Most pursuit P-cells (73%) discharged before the onset of vergence eye movements; the median lead time was 16 ms. Muscimol infusion into the sites where convergence P-cells were recorded resulted in a reduction of peak convergence eye velocity, of initial convergence eye acceleration, and of frontal-pursuit eye velocity. These results suggest involvement of the dorsal vermis in conversion of 3D-pursuit signals and in convergence eye movements.

Saccular stimulation of the human cortex: a functional magnetic resonance imaging study.

Recent imaging studies have reported the projection of semicircular canal signals onto wide regions of the cerebral cortex but little is known about otolith projections onto the cerebral cortex. We used functional magnetic resonance imaging (fMRI) to investigate the activation of the cortex by loud clicks that selectively stimulate the sacculus. Twelve normal volunteers were presented with auditory stimuli via an earphone containing a piezo electric element. High-intensity [maximum volume of 120 dB (SPL)] or low-intensity [maximum volume of 110 dB (SPL)] clicks were delivered at a frequency of 1 Hz and lasted 1 ms. We first checked that the high-intensity, but not low-intensity, clicks stimulated the sacculus by determining the vestibular evoked myogenic potentials. We then analyzed two task conditions (high- and low-intensity clicks) in a boxcar paradigm. We obtained gradient echo echo-planar images by using a 1.5 T MRI system. We analyzed the fMRI time series data with SPM2. High-intensity clicks activated wide areas of the cortex, namely, the frontal lobe (prefrontal cortex, premotor cortex, and frontal eye fields), parietal lobe (the region around the intraparietal sulcus, temporo-parietal junction, and paracentral lobule), and cingulate cortex. These areas are similar to those reported in previous imaging studies that analyzed the cortical responses to the activation of the semicircular canals. Thus, semicircular canal and otolith/saccular signals may be processed in similar regions of the human cortex.

Directional asymmetry in vertical smooth-pursuit and cancellation of the vertical vestibulo-ocular reflex in juvenile monkeys.

Young primates exhibit asymmetric eye movements during vertical smooth-pursuit across a textured background such that upward pursuit has low velocity and requires many catch-up saccades. The asymmetric eye movements cannot be explained by the un-suppressed optokinetic reflex resulting from background visual motion across the retina during pursuit, suggesting that the asymmetry reflects most probably, a low gain in upward eye commands (Kasahara et al. in Exp Brain Res 171:306-321, 2006). In this study, we examined (1) whether there are intrinsic differences in the upward and downward pursuit capabilities and (2) how the difficulty in upward pursuit is correlated with the ability of vertical VOR cancellation. Three juvenile macaques that had initially been trained only for horizontal (but not vertical) pursuit were trained for sinusoidal pursuit in the absence of a textured background. In 2 of the 3 macaques, there was a clear asymmetry between upward and downward pursuit gains and in the time course of initial gain increase. In the third macaque, downward pursuit gain was also low. It did not show consistent asymmetry during the initial 2 weeks of training. However, it also exhibited a significant asymmetry after 4 months of training, similar to the other two monkeys. After 6 months of training, these two monkeys (but not the third) still exhibited asymmetry. As target frequency increased in these two monkeys, mean upward eye velocity saturated at approximately 15 degrees /s, whereas horizontal and downward eye velocity increased up to approximately 40 degrees /s. During cancellation of the VOR induced by upward whole body rotation, downward eye velocity of the residual VOR increased as the stimulus frequency increased. Gain of the residual VOR during upward rotation was significantly higher than that during horizontal and downward rotation. The time course of residual VOR induced by vertical whole body step-rotation during VOR cancellation was predicted by addition of eye velocity during pursuit and VOR x1. These results support our view that the directional asymmetry reflects the difference in the organization of the cerebellar floccular region for upward and downward directions and the preeminent role of pursuit in VOR cancellation.

Frontal cortical control of smooth-pursuit.

To maintain optimal clarity of objects moving slowly in three dimensional space, frontal eyed-primates use both smooth-pursuit and vergence (depth) eye movements to track precisely those objects and maintain their images on the foveae of left and right eyes. The caudal parts of the frontal eye fields contain neurons that discharge during smooth-pursuit. Recent results have provided a new understanding of the roles of the frontal eye field pursuit area and suggest that it may control the gain of pursuit eye movements, code predictive visual signals that drive pursuit, and code commands for smooth eye movements in a three dimensional coordinate frame.

The vestibular-related frontal cortex and its role in smooth-pursuit eye movements and vestibular-pursuit interactions.

In order to see clearly when a target is moving slowly, primates with high acuity foveae use smooth-pursuit and vergence eye movements. The former rotates both eyes in the same direction to track target motion in frontal planes, while the latter rotates left and right eyes in opposite directions to track target motion in depth. Together, these two systems pursue targets precisely and maintain their images on the foveae of both eyes. During head movements, both systems must interact with the vestibular system to minimize slip of the retinal images. The primate frontal cortex contains two pursuit-related areas; the caudal part of the frontal eye fields (FEF) and supplementary eye fields (SEF). Evoked potential studies have demonstrated vestibular projections to both areas and pursuit neurons in both areas respond to vestibular stimulation. The majority of FEF pursuit neurons code parameters of pursuit such as pursuit and vergence eye velocity, gaze velocity, and retinal image motion for target velocity in frontal and depth planes. Moreover, vestibular inputs contribute to the predictive pursuit responses of FEF neurons. In contrast, the majority of SEF pursuit neurons do not code pursuit metrics and many SEF neurons are reported to be active in more complex tasks. These results suggest that FEF- and SEF-pursuit neurons are involved in different aspects of vestibular-pursuit interactions and that eye velocity coding of SEF pursuit neurons is specialized for the task condition.

Frontal cortical dysfunction in Parkinson's disease (PD): Comparison of memory-based smooth-pursuit and anti-saccade tasks, and neuropsychological and motor symptom evaluations.

We reported recently that during a memory-based smooth-pursuit task, most Parkinson's disease (PD) patients exhibited normal cue-information memory but impaired smooth-pursuit preparation and execution. A minority of PD patients had abnormal cue-information memory or difficulty in understanding the task. To further examine differences between these two groups, we assigned an anti-saccade task and compared correct rates with various neuropsychological and motor symptom evaluations. The anti-saccade task requires voluntary saccades in the opposite direction to a visual stimulus, and patients with frontal cortical impairments are known to exhibit reflexive saccades (errors). We classified PD patients into 2 groups: one with normal cue-information memory during memory-based smooth-pursuit (n = 14), and the other with abnormal cue-information memory or with difficulty in understanding the memory task (n = 6). The two groups had significantly different anti-saccade correct rates and frontal assessment battery (FAB) scores (P < 0.01). Anti-saccade correct rates of individual patients (n = 20) correlated significantly with FAB scores (P < 0.01) but not with age, Hoehn-Yahr stage, unified PD rating scale (UPDRS) part III or mini-mental state examination (MMSE) scores. Among FAB subtests, significant correlation was obtained only with motor programming scores. These results suggest that performance of memory-based smooth-pursuit and/or anti-saccades depend on frontal cortical function or dysfunction.