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Context-Dependent Effects of Substantia Nigra Stimulation on Eye Movements

¹Department of Physiology and ²Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, Wisconsin

Submitted 29 January 2007; accepted in final form 26 March 2007

	ABSTRACT

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In a series of now classic experiments, an output structure of the basal ganglia (BG)—the substantia nigra pars reticulata (SNr)—was shown to be involved in the generation of saccades made in particular behavioral contexts, such as when memory was required for guidance. Recent electrophysiological experiments, however, call this original hypothesis into question. Here we test the hypothesis that the SNr is involved preferentially in nonvisually guided saccades using electrical stimulation. Monkeys performed visually guided and memory-guided saccades to locations throughout the visual field. On 50% of the trials, electrical stimulation of the SNr occurred. Stimulation of the SNr altered the direction, amplitude, latency, and probability of saccades. Visually guided saccades tended to be rotated toward the field contralateral to the side of stimulation, whereas memory-guided saccades tended to be rotated toward the hemifield ipsilateral to the side of stimulation. Overall, the changes in saccade vector direction were larger for memory-guided than for visually guided saccades. Both memory- and visually guided saccades were hypometric during stimulation trials, but the stimulation preferentially affected the length of memory-guided saccades. Electrical stimulation of the SNr produced decreases in visually guided saccades bilaterally. In contrast, memory-guided saccades often had increases in saccade latency bilaterally. Finally, we found approximately 10% reduction in the probability of memory-guided saccades bilaterally. Visually guided saccade probability was unaltered. Taken together the results are consistent with the hypothesis that SNr primarily influences nonvisually guided saccades. The pattern of stimulation effects suggests that SNr influence is widespread, altering the pattern of activity bilaterally across the superior colliculus map of saccades.

	INTRODUCTION

TOP ABSTRACT INTRODUCTION METHODS RESULTS DISCUSSION GRANTS ACKNOWLEDGMENTS REFERENCES

 
Saccadic eye movements rapidly realign the center of gaze to objects of interest. Voluntary saccades arise from eye fields of the prefrontal cortex (FEF) (Bruce and Goldberg 1985; Bruce et al. 1985; Schall 1997). FEF neurons have direct access to the superior colliculus (SC), a midbrain structure considered part of the final common pathway for voluntary and reflexive saccades (Moschovakis et al. 1996; Sommer and Wurtz 1998, 2000; Sparks 1986; Sparks and Hartwich-Young 1989). The FEF also has projections to structures in the brain stem involved in saccades (Stanton et al. 1988). Thus the coordinated activity of the FEF–SC and the FEF–brain stem pathways underlies the generation of voluntary saccadic eye movements (Hanes and Wurtz 2001; Schiller 1998; Schiller et al. 1979, 1980).

A lesser-understood pathway arising from FEF courses through the basal ganglia (BG). Indeed, most of the cerebral cortex projects to the input nuclei of the BG, the caudate and putamen (collectively the striatum) (Alexander et al. 1986; Nambu et al. 2002; Parthasarathy et al. 1992; Selemon and Goldman-Rakic 1985). For saccades, the inputs from FEF and dorsomedial frontal cortex (DMFC) or supplementary eye fields (SEFs) provide the principal input (Parthasarathy et al. 1992). One of the two output nuclei of the BG is the substantia nigra pars reticulata (SNr). Our current understanding of the role of the BG in eye movement control proposes that the command to initiate a voluntary saccade arises first in FEF neurons. Caudate neurons receiving FEF input are activated by the cortical drive. These caudate neurons in turn are directly connected to the SNr (Hikosaka and Sakamoto 1986; Hikosaka et al. 1989a,b,c, 1993) and contain -aminobutyric acid (GABA) (Gerfen 1985; Gerfen and Wilson 1996). Therefore the discharge of caudate neurons results in a decrease in the discharge of SNr neurons. SNr neurons are tonically active, contain GABA (Chevalier and Deniau 1990; Chevalier et al. 1981a, 1984, 1985; Hikosaka and Wurtz 1983a,d), and have direct projections to the SC. Thus decreasing SNr neuronal activity reduces inhibition of SC neurons, resulting in a robust discharge of action potentials (APs) in SC neurons signaling a command to initiate a saccade (Hikosaka and Wurtz 1983d; Hikosaka et al. 2000). A schematic of the activity profiles of the caudate, SNr, and SC during a saccade is shown in Fig. 1A.

View larger version (27K): [in this window] [in a new window]   FIG. 1. Schematic of neuronal activity in the basal ganglia–superior colliculus (BG–SC) pathway during saccades. A: vertical lines indicate action potentials. Time (in milliseconds) is shown from left to right. Discharge of phasically active caudate neurons occurs around the time of saccades. Because these neurons are GABAergic and project directly to the SNr, their increase in discharge is associated with a pause in SNr tonic activity. The pause in SNr activity releases the SC from inhibition (Hikosaka and Wurtz 1983a,d; Hikosaka et al. 1989a,b, 1993) at which point a saccade is generated. B: same as in A, except cyan vertical lines indicate hypothetical result if electrical stimulation introduces action potentials to the SNr. Duration of the electrical stimulation used was 400 ms (not drawn to scale). C: schematic of the neural circuitry relating the SNr and the SC. D: predicted results of stimulation on the onset of memory-guided eye movements. Black lines are schematic eye position traces and cyan lines are schematic eye position traces with SNr stimulation. E: same as in D for visually guided saccades. stim, stimulation trial; SNr, substantia nigra pars reticulata; iSC, intermediate layers of the superior colliculus.

In this report we describe the results of experiments in which we explore the role of the SNr in saccadic eye movement control using electrical stimulation. Our goal was twofold. First, in light of the previous muscimol results (Hikosaka and Wurtz 1985) indicating a preferential effect on memory-guided eye movements, we asked whether electrical stimulation of the SNr would also have a preferential effect on memory-guided eye movements. A demonstration of this using a second technique would provide additional evidence that the BG are principally concerned with nonvisually guided movements. Furthermore, with electrical stimulation we have control over the precise timing of the manipulation and therefore can present stimulation specifically during the preparation and initiation of the movement. Second, electrical stimulation of brain regions [deep brain stimulation (DBS)] is an increasingly popular treatment option for patients with neurological disease who are refractory to traditional medical therapies. Yet, neither is the precise mechanism of action of DBS known, nor are consistent results obtained from experiments assessing second-order effects of DBS on target structures (Anderson et al. 2003; Hashimoto et al. 2001, 2003). How the effects of DBS translate to changes in behavior are even less well understood (Anderson et al. 2003; Ashby et al. 1999; Dostrovsky et al. 2000; Hashimoto et al. 2003; Larsy et al. 2003; Perlmutter and Mink 2006). In light of the well-established relationship of SC neuronal activity and eye movements (Moschovakis et al. 1996; Sparks 2004; Wurtz et al. 2000) and the fact that the SC is a major target of the BG (Gerfen and Wilson 1996; Gerfen et al. 1982), we reasoned that establishing the efficacy of electrical stimulation of SNr on eye movements might lead to insights into the mechanism of action of DBS as well as provide a framework for future experiments exploring the role of DBS on behavior.

Here we show that electrical stimulation of the SNr influences the generation of saccadic eye movements. The directions and amplitudes of saccade vectors were altered with stimulation. The changes in saccade vectors occurred primarily during memory-guided saccades. We also found that electrical stimulation both decreased saccade latency and increased saccade latency. Finally, electrical stimulation of the SNr decreased the likelihood of both contralateral and ipsilateral memory-guided saccades. Visually guided saccade probability was unaltered. We conclude from these results that electrical stimulation of the SNr influences saccades in a manner consistent with an activation of SNr outputs. The pattern of effects of SNr stimulation on saccades indicates that the SNr has widespread effects on the SC. This is consistent with an alteration in the pattern of activity across the map of saccadic eye movements bilaterally. Preliminary reports of this work were previously published (Day et al. 2005; Liu et al. 2003).

	METHODS

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General behavioral procedures

We used a real-time experimental data acquisition and visual stimulus generation system (Tempo and VideoSync; Reflective Computing) to create the behavioral paradigms and acquire eye position and neuronal data. Monkeys were trained to sit in a custom-designed primate chair with head fixed during the experimental session (typically 3–5 h). Visual stimuli were rear-projected onto a tangent screen at 51-cm distance using a DLP projector (LP335, Infocus) with a native resolution of 1,024 x 768 and operating at 60 Hz. The background luminance was 0.28 cd/m². The visual stimulus presentation was controlled by VideoSync software (Reflective Computing) running on a dedicated PC with a 1,024 x 768 VGA video controller (Computer Boards). The PC was a slave device to the PC used for experimental control and data acquisition. Because there is an inherent time limitation in DLP projectors (both the vertical refresh rate and the vertical sync pulse) one photocell was placed on the top left corner of the screen and a second photocell was placed on the lower right corner of the screen. Both photocells sent signals (a TTL pulse) to the experimental PC within 1 ms, providing an accurate measure of stimulus onset and offset.

Behavioral task and electrical stimulation

Monkeys performed memory-guided and visually guided delayed saccades (Fig. 2). In the delayed-saccade task, initially a centrally located visual spot appears and monkeys are required to fixate this spot. After a random time of 500–1,500 ms, a peripheral spot appears somewhere in the visual field. After another delay (800–1,200 ms), the fixation spot is removed and this serves as a cue for the monkeys to make a saccade to the visual spot located in the periphery (Fig. 2B). The memory version of this task (Hikosaka and Wurtz 1983c) is identical except that the spot located in the visual field appears only transiently (200 ms). Monkeys must remember the location and make a saccade to that memorized location when the central spot disappears (Fig. 2A). Memory-guided and visually guided saccade trials were randomly interleaved. The target for the saccade appeared at one of eight possible locations throughout the visual field (Fig. 2D). The location of the target was also randomly interleaved. When monkeys performed a trial correctly they received a drop of water as reward. Stimulation often interfered with the ability to produce accurate saccades. To avoid having monkeys no longer participate in the task we imposed a less-restrictive criterion for accepting eye movements as correct for the stimulation trials compared with the nonstimulation trials. By 500 ms after the cue to make a saccade appeared, the eye position had to be within 3° square around the target for nonstimulated trials. For stimulated trials the eye position had to be within 10° square around the target position.

View larger version (15K): [in this window] [in a new window]   FIG. 2. Behavioral task. A: lateral view of the rhesus monkey brain is shown schematically with a stimulating electrode directed at the SNr. B: memory-guided saccade task. C: visually guided saccade task. Boxes are a schematic of the screen at which monkeys looked to perform the task. A fixation spot (red spot) located at the center of the screen appeared for a time (500–1,000 ms) then a peripheral target appeared (black spot). Monkeys were required to remain fixating the center, indicated by the square around the fixation spot, for a delay (800–1,200 ms). When the fixation spot was removed, a saccade to the peripheral spot occurred. In the memory version, the peripheral spot appeared transiently, for 200 ms. D: black spots indicate the target position used. E: time line of the memory-guided saccade task. F: time line for the visually guided saccade task. Red-filled bar is the fixation point. Black-filled bar is the target. Cyan-filled bar indicates the time during the tasks when SNr stimulation occurred. Lines marked "eye" are schematics of the eye position trace.

Surgical procedures for electrophysiology

For electrophysiological recording of single neurons and monitoring eye movements, cylinders and eye movement measuring devices were implanted in three rhesus monkeys (Macaca mulatta) using procedures described previously (Li and Basso 2005). Anesthesia was induced initially with an intramuscular injection of ketamine (5.0–15.0 mg/kg). Atropine (0.5 mg/kg) was provided to minimize salivation. Monkeys were intubated and maintained at a general anesthetic level with isoflurane. A subconjunctival coil was implanted (Judge et al. 1980). A plastic head holder for restraint and two cylinders for subsequent microelectrode recording were mounted on top of the exposed skull and secured with titanium screws and dental acrylic. Plastic hardware allowed subsequent magnetic resonance (MR) images to be obtained with minimal artifact. For access to the SNr, the two recording cylinders were placed stereotaxically (A10 L5) and angled mediolaterally approximately 40–45° depending on the angle of the SNr as determined by presurgical MR images. An antibiotic (cefadroxil, 25 mg/kg) was given 1 day before the operation and every day for a minimum of 4 days after the operation. Analgesia was provided by the administration of buprenorphine (0.01–0.03 mg/kg) and flunixin (1–2 mg/kg) for 48 h postsurgically as needed. Monkeys recovered for 1–2 wk before behavioral and physiological recording commenced. All experimental protocols were approved by the University of Wisconsin–Madison Institutional Animal Care and Use Committee and complied with or exceeded standards set by the Public Health Service policy on the humane care and use of laboratory animals.

Neuronal classification

Monkeys performed the delayed-saccade task to eight targets located throughout the visual field (Fig. 2D). SNr neurons recorded during the performance of a visually guided and/or memory-guided delayed-saccade task were classified as visual, saccade, or visual-delay saccade. We measured 200 ms of baseline discharge rate while monkeys fixated and before a visual stimulus appeared. We then measured the first 200 ms of neuronal discharge after the onset of the visual stimulus. The delay interval was defined as the discharge rate occurring 600–800 ms after the target spot appeared. The saccade interval was defined as the discharge rate occurring 50 ms before to 50 ms after the onset of the saccade. SNr neurons were classified as visual if they contained statistically significant differences (P < 0.05) in discharge rate during the visual interval compared with baseline. Saccade neurons were defined as those showing a significant difference in discharge rate during the saccade interval compared with baseline (P < 0.05). Visual-delay–saccade neurons were classified as those with statistically significant discharge rates during all three intervals compared with baseline (P < 0.05). Some visual and saccade neurons also had significant modulation during at least one other interval. For these cases we classified neurons according to which interval was maximally modulated as determined by visual inspection. Because SNr neurons often have a mixture of response types, we believe that this or any classification scheme does not separate SNr neuron types. Rather, SNr neurons are best described as representing a continuum of response types (Basso and Wurtz 2002; Handel and Glimcher 1999; Hikosaka and Wurtz 1983a,b,c; Wichmann and Kliem 2004a).

Data acquisition

Using the magnetic induction technique (Robinson and Fuchs 1969) (Riverbend Instruments), voltage signals proportional to horizontal and vertical components of eye position were filtered (eight-pole Bessel, –3 dB, 180 Hz), digitized at 16-bit resolution and sampled at 1 kHz (Measurement Computing; CIO-DAS1602/16). The data were saved for off-line analysis using an interactive computer program designed to display and measure eye position and calculate eye velocity. We used an automated procedure to define saccadic eye movements by applying velocity and acceleration criteria of 50°/s and 5,000°/s², respectively. Adequacy of the algorithm was corrected if necessary, on a trial-by-trial basis by the experimenter. Single neurons were recorded with tungsten microelectrodes (FHC) with impedances between 0.1 and 1.0 M measured at 1 kHz. Electrodes were aimed at the SNr through stainless steel guide tubes held in place by a plastic grid secured to the cylinder (Crist et al. 1988). Action potential waveforms were identified with a window discriminator (Bak Electronics) that returned a TTL pulse for each waveform that met voltage and time criteria. The TTL pulses were sent to a digital counter (National Instruments; PC-TIO-10) and were stored with a 1-ms resolution. Once an SNr neuron was isolated and characterized in the delayed-saccade task, using the same electrode, electrical stimulation commenced.

Data analysis

All statistical analyses were performed using Matlab (The MathWorks) or Oriana (Kovach Computing Services) for circular statistics. All linear data were first tested for normality using the Lilliefores test. If they passed this test of normality, we then made comparisons using parametric ANOVA or t-test (modified Bonferroni methods). If the data failed to pass normality tests, nonparametric ANOVA (Kruskal–Wallis) or Wilcoxon rank-sum tests were used. To test differences between cumulative density functions we used a two-tailed Kolmogorov–Smirnov test (Keppel 1991).

	RESULTS

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We stimulated at 61 sites in six SNrs of three monkeys. At each site we documented the response profile of the neuron recorded before introducing electrical stimulation. We observed response profiles similar to those previously reported by us and others (Basso and Wurtz 2002; Basso et al. 2005; Bayer et al. 2002; Handel and Glimcher 1999, 2000; Hikosaka and Wurtz 1983a,b,c). Of the 61 neurons in our sample, 15 of 61 (26%) were classified as visual neurons; 31 of 61 (51%) had a reduced level of activity compared with the baseline during all three intervals of the delayed-saccade task and were classified as visual-delay–saccade neurons; 12 of 61 (20%) of our sample were classified as saccade neurons because of their reduced level of discharge during the saccade interval (see METHODS). Three of 61 (3%) were classified qualitatively because of an insufficient number of trials for statistical classification. We did not encounter neurons with decreases in activity only during the delay period. Of the three classified qualitatively, one had an increase in activity at the time the visual stimulus appeared and was considered a visual neuron. Figure 3 shows two schematics of sections through the midbrain of a rhesus monkey (Mikula et al. 2007). The black squares represent locations from which electrode tracts were reconstructed from four hemispheres of two monkeys (eight in one monkey and 22 in the second). The other 31 sites come from a monkey that is still participating in experiments, although the electrode path targeting the SNr was confirmed using MR imaging.

View larger version (27K): [in this window] [in a new window]   FIG. 3. Schematic sections through the midbrain of a rhesus monkey. Anterior-posterior levels are approximate and sections were obtained from www.brainmaps.org (Mikula et al. 2007). Infundibulum and lateral geniculate nucleus were used as landmarks to reconstruct electrode tracts on these standardized sections using Horsley–Clark stereotaxic coordinates. Each square represents multiple penetrations from 2 monkeys. Reconstructions were all reflected to the left hemisphere. There were 8 sites from one monkey and 31 sites from a second monkey; 22 sites come from a third monkey that is still participating in experiments. STN, subthalamic nucleus; VTA, ventral tegmental area; SNr, substantia nigra pars reticulata; ZI, zona incerta.

To test the hypothesis that manipulation of SNr neuronal activity would preferentially influence nonvisually guided eye movements, we presented trains of electrical stimulation to the SNr during performance of delayed-saccade tasks (Fig. 2). Memory-guided and visually guided trials were randomly interleaved and electrical stimulation of the SNr occurred on 50% of all trials (randomly) at the time when the cue was provided to make a saccade (Fig. 2, E and F). The train lasted for 400 ms. An example of the effects of SNr stimulation is shown for one site in Fig. 4. The neuron recorded at this site was classified as a visual-delay–saccade neuron because of the reduced activity compared with baseline for all intervals of the delayed-saccade task (Fig. 4, A and B).

View larger version (37K): [in this window] [in a new window]   FIG. 4. SNr stimulation alters memory-guided eye movements. A: recording from an SNr neuron during performance of the delayed-saccade task. Saccades were directed to a target located in the hemifield contralateral to the recorded neuron. B: saccades were directed to the target located in the hemifield ipsilateral to the recorded neuron. Each tick is an action potential and each row of ticks is a trial. Spike density function ( = 12 ms) is superimposed on the raster. Lines below the rasters are horizontal eye position (H eye) and vertical eye position (V eye). Arrows indicate the alignment of the traces. In each panel, the left trace is aligned on the onset of the target and the right trace is aligned on the saccade onset. C: XY position traces in nonstimulation (black) and stimulation (cyan) trials. D: same as in C for memory-guided saccades. Neuron recorded at this site was classified as a visual-delay–saccade neuron. Note that there is an asymmetry in saccade gain for ipsilateral and contralateral saccades for this monkey. We believe this likely arises from the damage resulting from repeated penetrations.

Direction and amplitude of saccades

We measured the direction and the length of the vector for each saccadic eye movement made to each target location. We then computed the average direction (angle in degrees, ) and the average length (amplitude in degrees, ) of the saccades made to each target location. This was done for both the stimulation and the nonstimulation trials.

Figure 5A provides a visual comparison of the average saccade vectors made in the memory-guided saccade condition taken from the example case shown in Fig. 4D. This illustration shows that the vertical saccades were rotated downward, contralateral upward oblique saccades were rotated downward, and some saccades were rotated upward (contralateral downward oblique saccades). With respect to the site of stimulation, some saccades were rotated ipsilaterally and some were rotated contralaterally. It also shows that some vectors became longer (hypermetric) and some became shorter (hypometric) with stimulation of the SNr. This observation suggests that the influence of SNr stimulation is not all or none on saccades but has a varying and broad influence on the map of saccades within the SC. To assess the influence of SNr stimulation across the stimulation sites and across the saccade target locations, we computed the angular difference and the length difference between the saccade vectors made in the stimulation and nonstimulation trials. For the angular difference we subtracted the stimulation from the nonstimulation angle (_stim – _nonstim). We reflected the data such that negative values indicate contralateral rotations (with respect to the side of stimulation) and positive values indicate ipsilateral rotations (with respect to the side of stimulation) of the saccade vector. For the amplitude data, we computed a ratio of the vector lengths in the stimulation and the nonstimulation conditions using the equation: 1 + (_stim – _nonstim)/_nonstim, where is the length of the vector. We did this for both visually guided and memory-guided trials. We then plotted the vector differences in polar coordinates for the visually guided (Fig. 5B) and memory-guided (Fig. 5C) trials for 60 stimulation sites (see caption).

View larger version (17K): [in this window] [in a new window]   FIG. 5. SNr stimulation alters the direction and amplitude of saccadic eye movements. A: in memory-guided saccades, at one stimulation site (the same as shown in Fig. 3), saccades made to each target location are drawn as vector arrows. Each black arrow is an average of 10 saccades. Outer circle is saccade amplitude with stimulation relative to saccade amplitude without stimulation (see text for computation). Cyan arrows are the average saccade vector (10 trials) to a single target location with stimulation of the SNr. Note that the asymmetry in saccade gain is also evident in this plot. B: angular difference between the saccade vector measured with and without stimulation (see text) is plotted in polar coordinates for visually guided saccades for 8 target locations for 60 SNr stimulation sites in 3 monkeys. One site is omitted because the stimulation saccade amplitudes were largely hypermetric (outliers) and would have distorted scaling of the plot. C: difference in the angle of the saccade vector with and without SNr stimulation is plotted in polar coordinates for the same 60 stimulation sites during memory-guided trials. Arrows pointing at 0 ° indicate no difference between the stimulated and nonstimulation vector. Arrows pointing at 180 indicate that the saccade produced with stimulation was deflected to the opposite hemifield. Counterclockwise angular rotations (negative values) indicate that the saccade was rotated contralaterally with stimulation, whereas clockwise rotations (positive values) indicate that the saccade vector was rotated ipsilaterally with stimulation.

Analysis of the 60 stimulation sites revealed two important findings. First, whereas visually guided saccades were influenced by SNr stimulation, the effect of SNr stimulation on saccades was more profound for memory-guided saccades (cf. Fig. 5, C and B). The changes seen in saccades were composed of saccade vector rotations and changes in saccade vector length. Visually guided saccades, if altered, tended to be rotated contralaterally or away from the side of stimulation. Memory-guided saccades were rotated contralaterally, but also ipsilaterally. For visually guided saccades changes in saccade amplitude were rare, but evident, whereas for memory-guided saccades SNr stimulation produced mainly hypometria (vector tips <1) but also hypermetria (vector tips >1).

To quantitatively confirm these results across our sample of stimulation sites, we also plotted the distribution of angular and amplitude differences measured with and without stimulation in the visually guided and memory-guided trials in linear form (Fig. 6). The average amplitude ratio of visually guided saccades in the stimulation trials compared with the nonstimulation trials across all stimulation sites was 0.98 (Fig. 6A). This value, very close to 1, indicates that visually guided saccades, overall, were scarcely affected in length by SNr stimulation. In contrast, memory-guided saccades had an average normalized length ratio of 0.91 (Fig. 6B), indicating a 9% reduction, on average, in saccade length with SNr stimulation. A comparison of the two distributions indicated that this difference between memory-guided and visually guided saccades was statistically reliable (see Fig. 6, A and B; P < 0.001).

View larger version (18K): [in this window] [in a new window]   FIG. 6. Amplitude and direction of saccades are altered with electrical stimulation of SNr. A: distribution of the amplitudes of saccades made in the stimulation and nonstimulation conditions for visually guided trials. Saccade amplitudes were normalized to the nonstimulation saccade amplitude. Values of 1 indicate that the length of the saccade vector was the same with or without SNr stimulation (vertical, dashed gray line). Values <1 indicate that the length of the saccade vector was shorter with stimulation. Values >1 indicate that electrical stimulation of SNr produced longer vectors. Ordinate plots the number of saccades. B: same as in A for memory-guided saccades. C: number of saccades is plotted against the angular difference in degrees of the saccade vector with and without electrical stimulation of the SNr during visually guided saccade trials. Values of 0 indicate no difference in the direction of the vector with stimulation compared with nonstimulation (vertical, dashed gray line). Negative values indicate that the vector was rotated contralaterally, whereas positive values indicate that the vector was rotated ipsilaterally with SNr stimulation compared with nonstimulation. D: same as in C for memory-guided saccades. Difference between the 2 distributions shown in A and B was statistically significant (P < 0.001, Wilcoxon rank sum). Difference between the 2 distributions shown in C and D was also statistically significant (P < 0.001, Wilcoxon rank sum). All 61 sites from the 3 monkeys are included in this plot.

Stimulation with 75 and 125 Hz

In 21 sites from two monkeys we introduced 75-Hz trains of stimulation to the SNr and in 14 sites from two monkeys we introduced 125-Hz stimulation trains. All other parameters were the same as those described for the 300-Hz condition. For 11 of the total 35 sites all three frequencies of stimulation occurred.

The effects of lowering the stimulation frequency on saccades showed the same trend of influencing memory-guided saccades more than visually guided saccades as did the 300-Hz stimulation (Fig. 7, A and B), although the effects were slightly more subtle. Visually guided saccades were virtually unchanged in length and rotation, whereas memory-guided saccades appeared slightly hypermetric and were rotated primarily ipsilateral to the site of stimulation. Across the 35 sites, the mean angular deviation of saccade vectors measured in visually guided trials was small but measurable at 5.54° (Fig. 7, A and E), whereas for memory-guided saccades it was slightly larger at 9.44° (Fig. 7, B and F). For saccade lengths, there were also differences of the effects of stimulation for visually guided compared with memory-guided trials (Fig. 7, C and D). Interestingly in these cases stimulation produced a slight hypermetria during memory trials. The mean ratio of stimulated to nonstimulated visually guided saccade length was 0.99 (Fig. 7C). The mean ratio for memory-guided saccade amplitudes was 1.10 (Fig. 7D). These differences were small but statistically reliable (P = 0.01). Although hypometria was primarily seen using 300-Hz stimulation, hypermetria was also evident across the sample. In light of the suggestion that low-frequency stimulation for DBS often makes symptoms worse (Benabid 2003; Moro et al. 2002), it will be interesting to compare even lower frequencies of stimulation, such as 20 Hz, in the future.

View larger version (22K): [in this window] [in a new window]   FIG. 7. SNr stimulation at 75 and 125 Hz also influences memory-guided saccades. Arrangement of this figure is the same as that shown in Figs. 5, B and C and 6, A–D. In all, 35 stimulation sites from the same 3 monkeys are included; 11 of these sites overlap with those shown in Figs. 5 and 6. Angular and length deviations of saccade vectors occurring with SNr stimuation are shown for visually guided saccades in A and memory-guided saccades in B. Distributions of changes in angles are shown in E and F, whereas the distributions of length changes are shown in C and D.

The influence of SNr stimulation on saccade latency is shown in Fig. 8. Electrical stimulation of the SNr influenced the latency of both memory-guided and visually guided saccades. The same effects on saccade latency were obtained for all three stimulation parameters, although the effects of 75 and 125 Hz were less profound (Fig. 8, A–D, 300 Hz; Fig. 8, E–H, 75 and 125 Hz). Furthermore, the stimulation influenced saccade latency bilaterally. For memory-guided saccades, latency was reduced on stimulated trials compared with nonstimulation trials (Fig. 8, A and E). By approximately 200 ms, saccade latencies were increased for contralaterally directed memory-guided saccades (Fig. 8, A and E). A similar trend was evident for ipsilateral saccades (Fig. 8, B and F). Ipsilateral saccades had a reduced latency 200 ms and a prolonged saccade latency >200 ms. We confirmed this observation statistically using the Kruskal–Wallis ANOVA and determined that saccade latency was significantly different in stimulation trials compared with controls for contralateral (P < 0.001) and ipsilateral (P < 0.02) memory-guided saccades. Qualitatively similar results were obtained using 75 and 125 Hz (Fig. 8, E and F).

View larger version (23K): [in this window] [in a new window]   FIG. 8. Electrical stimulation of the SNr alters saccade latency. Cumulative distribution function (CDF) plots of saccade latencies in the different task conditions for all 61 stimulation sites. Cyan lines are for stimulated trials and black lines are for nonstimulation trials. A: CDF of saccade latency of memory-guided saccades to a target located in the hemisphere contralateral to the site of SNr stimulation. Kruskal–Wallis test showed that contralateral saccade latencies were significantly different in stimulation and nonstimulation trials (P < 0.001 at ). B: CDF of saccade latency in memory-guided saccades to a target located in the ipsilateral hemifield (Kruskal–Wallis, P < 0.02 at ). C: same as in A for visually guided saccades. D: same as in B for visually guided saccades. E and F: same results for the 75- and 125-Hz stimulation conditions. Data are from 35 stimulation sites.

Frequency of saccades

The current conceptual model of the SNr in eye movements predicts that increasing SNr neuronal activity should enhance inhibition of saccade-related SC neurons and decrease the occurrence of saccades. Consistent with this, we found that electrical stimulation of the SNr reduced the occurrence of saccades (Fig. 9), although this effect was not always as profound as we expected. In fact, the suppression of saccades with stimulation often subsided with repeated experiments in the same monkey. We saw this phenomenon in all three monkeys. To quantify the influence of SNr stimulation on saccade occurrence, we counted the number of saccades made to each target in the stimulation and control conditions. We then summed the number of saccades made in the stimulation and nonstimulation conditions across contralateral and ipsilateral directions. These sums were then divided by the number of saccades made in the nonstimulation condition. Multiplying this ratio by 100 yields the percentage of saccades made. The nonstimulation condition in both memory-guided and visually guided trials had a percentage of 100 (Fig. 9, A and B, black bars). Despite the reduced magnitude of the effect of stimulation with repeated experiments, we found that the occurrence of contralateral saccadic eye movements was reduced by roughly 6% on trials with electrical stimulation of the SNr across all three monkeys and all 61 stimulation sites. Importantly, this reduction was seen only for memory-guided trials (Fig. 9A; contralateral memory: *P = 0.03; visual: P = 0.81).

View larger version (36K): [in this window] [in a new window]   FIG. 9. Memory-guided saccade frequency is reduced with electrical stimulation of the SNr. Frequency of saccades measured from 61 stimulation sites for the 8 target locations is plotted. Gray bars represent data from the nonstimulation trials and cyan bars represent data from the stimulation trials. Data are normalized to the nonstimulation condition so that black bars have length of 100. Vertical lines on the cyan bars are 1 SD. A: contralateral saccade frequency is plotted for memory trials (2 left bars) and for visual trials (2 right bars). B: ipsilateral saccade frequency is plotted for memory trials (2 left bars) and visual trials (2 right bars). *P = 0.02; **P = 0.001. Data are from the 300-Hz condition.

In summary, we found that electrical stimulation of the SNr influenced the generation of saccades. Electrical stimulation altered the vector of the saccade produced during SNr stimulation. Frequently saccades were shorter in length and the direction of the saccade vector was rotated in stimulation trials compared with control trials. The alteration in saccade vector was also more prominent for saccades made to targets guided by memory than those with visual stimuli present to guide them. We found that SNr stimulation influenced saccade latency. In general, visually guided saccades tended to be <200 ms without stimulation and had an even shorter latency with stimulation of the SNr. Memory-guided saccades showed both a reduced latency and an increase in latency with SNr stimulation. These results suggest two influences of SNr stimulation on saccade latency. Finally, we found that the occurrence of saccades was altered with SNr stimulation. When stimulation was applied, the likelihood of producing a saccade was reduced slightly. Reduction in the occurrence of saccades was found bilaterally and was more evident in memory-guided trials than in visually guided trials.

	DISCUSSION

TOP ABSTRACT INTRODUCTION METHODS RESULTS DISCUSSION GRANTS ACKNOWLEDGMENTS REFERENCES

 
The experiments described in this report were designed with two goals in mind. First, recent electrophysiological evidence calls into question the precise nature of the role of the SNr in eye movements (Basso and Wurtz 2002; Basso et al. 2005; Bayer et al. 2002; Handel and Glimcher 1999, 2000; Sato and Hikosaka 2002). Second, a number of neurological disorders are being treated successfully with electrical stimulation of BG nuclei (Houeto et al. 2005; Larsy et al. 2003; Mayberg et al. 2005). This treatment is used despite our rather poor understanding of the mechanism underlying the effects of electrical stimulation of inhibitory neuronal structures or its relationship to normal behavior. Therefore to begin exploring these two issues, we presented electrical stimulation to the SNr, one of two inhibitory outputs of the BG, immediately before and during the generation of saccadic eye movements. We measured eye movements with and without stimulation in visually guided and memory-guided delayed saccade tasks.

We found that electrical stimulation of the SNr influenced memory-guided saccades more profoundly than visually guided saccades. We found a reduction in the occurrence of saccades made to the contralateral and the ipsilateral hemifields, only in the memory-guided task. The frequency of visually guided saccades did not change with stimulation. Stimulation of the SNr altered the characteristics of saccades. The length of the saccade vector as well as the direction of the saccade vector was changed. Often stimulation produced hypometria and sometimes produced hypermetria. Stimulation also often rotated the saccade direction. Again, this result was observed most often for memory-guided saccades. Finally, electrical stimulation of the SNr influenced saccade latency. SNr stimulation both reduced saccade latency and increased saccade latency. Later, we discuss and interpret our results within the context of previous work. We first discuss the suppression of saccades, then we discuss the changes in saccade vector and latency.

SNr stimulation suppressed saccades bilaterally

Current schemes of the role of the SNr in saccades in monkeys rely on the well-known and strong projection from the SNr to the ipsilateral SC (Beckstead et al. 1981; Graybiel 1978; Harting and Van Lieshout 1991; Harting et al. 1988; Hikosaka and Wurtz 1983d; Huerta et al. 1991). A crossed SNr–SC pathway was recently studied in the anesthetized cat (Jiang et al. 2003). Single-pulse orthodromic, antidromic, and anatomical methods demonstrate that the crossed projection is GABAergic and inhibits SC activity, similar to the uncrossed pathway (Chevalier and Deniau 1990; Chevalier et al. 1981b; Hikosaka and Wurtz 1983d). Our stimulation results revealing a suppression of saccades bilaterally are consistent with this observation and indicate that the monkey SNr may inhibit both SCs. Furthermore, because injection of muscimol into the SNr to inhibit SNr output results in increases in saccades (Hikosaka and Wurtz 1985) and electrical stimulation shown here results in decreases in saccades, we propose that although other effects are possible, SNr stimulation influences behavior through activation of the inhibitory output of the SNr targeting both SCs.

In the anesthetized cat, the neurons constituting the uncrossed pathway are tonically active and pause for the presentation of moving visual stimuli. In contrast, the crossed pathway neurons are transiently active at the onset of a moving visual stimulus. Based on their data, the authors concluded that the crossed pathway suppressed unwanted movements whereas the uncrossed pathway simultaneously released a desired orienting movement (Jiang et al. 2003). In our sample of SNr sites, some neurons had gradual increases in activity during the delay period of the delayed-saccade task like those reported previously (Sato and Hikosaka 2002), but we did not often see transient increases in SNr neuronal activity with visual stimuli. Further, we did not explore the responses of our sample to moving visual stimuli, so a direct comparison with the results obtained in cats is not possible. Finally, because we used trains of electrical stimuli rather than single pulses, we think it is unlikely that we would selectively alter the behavior of individual neurons, precluding a comparison of the effects of stimulation on different neuronal response types. Further work will be required to determine whether a similar, functional organization of the crossed and uncrossed pathway appears in monkeys as it does in cats.

SNr stimulation alters saccade direction and amplitude

Based on previous work showing that reducing SNr activity with muscimol, the GABA agonist, results in irrepressible saccades, we expected that electrical stimulation would activate SNr neuronal output pathways and result in a profound suppression of saccades. That we did not see a complete suppression of eye movements may indicate that stimulation had effects other than that shown in Fig. 1B. For example, activation of presynaptic input fibers arising from the caudate nucleus might be activated along with the SNr output fibers. If this happened, we might expect the electrical stimulation to inactivate the SNr by increasing local inhibition. Thus the effects of SNr stimulation may reflect a mixture of activation and inactivation of SNr activity. Based on our finding that saccades were suppressed, we think that although there may be mixed local effects of stimulation, the effects on behavior result from activation of the output pathway. That the suppression was not often as profound as we anticipated may reflect these mixed effects or may reflect a depletion of neurotransmitter resulting from long stimulation trains. Interestingly, the initial experiments often did show profound effects on saccade occurrence that waned with repeated experiments. Similar reductions in the efficacy of stimulation were reported in dorsal premotor cortex (Churchland and Shenoy 2007). Therefore another possibility is that the reduced effects and decline in efficacy of SNr stimulation result from active compensation or tissue damage. Sorting this out will require further experiments.

Nevertheless, across the sample of 61 sites, SNr stimulation did alter saccades when they were produced. Both the direction and the amplitude of the saccade vector were altered. The alteration in vectors was more prominent for memory-guided saccades than for visually guided saccades. This is consistent with the hypothesis that the SNr plays a preferential role in nonvisually guided movements (Hikosaka and Wurtz 1983c; Wichmann and Kliem 2004). However, in contrast to the previous recording results, other recordings of SNr neurons during saccades showed little difference between the activity of SNr neurons during performance of visually guided and memory-guided saccades (Bayer et al. 2002). One possibility for this difference, as suggested by the latter authors (Bayer et al. 2002), is that the rate of reward for visually guided versus memory-guided eye movements differed between the two recording studies. It is unlikely that differences in the rate of reward can explain the differences we obtained with electrical stimulation because our monkeys were given rewards virtually regardless (the electronic windows were increased on stimulation trials) of their performance to encourage continued participation in the task. Rather, our results are consistent with the role of the BG in behavior more generally (Mishkin and Petri 1984). When salient sensory information is present, the BG are less critical for movement (Glickstein and Stein 1991; Morris et al. 1996). In contrast, when sensory information is absent or provides no new information, the BG are critical. For saccades, this may result simply because generating the burst in SC neurons (Moschovakis et al. 1988a,b, 1996; Özen et al. 2004) is more dependent on decreases in SNr activity when no cortical (Helminski and Segraves 2003; Paré and Wurtz 1997, 2001; Sommer and Wurtz 2000) or cerebellar (May et al. 1990) drive is present.

The idea that the burst in SC neurons is influenced differently by the loss of SNr inhibition when an excitatory drive is present is suggested by the subtle differences in saccade vector rotation in visually guided versus memory-guided saccades (Figs. 5–7). The difference in efficacy of stimulation with and without a visual drive (presumably excitatory) suggests a hypothesis for the type of inhibition arising from the SNr to the SC. We suggest that the inhibition arising from the SNr acts as a shunting inhibition (Borg-Graham et al. 1998), decreasing the efficacy of other excitatory inputs to SC neurons. Rather than producing a hyperpolarizing "hole" in one region of the SC, the inhibition from the SNr may act to sculpt the SC population activity determining where a saccade will be made. Future experiments in vivo and in vitro, altering SNr activity, and recording from SC populations can address these important issues.

SNr stimulation alters saccade latency

SNr stimulation both reduced saccade latency and prolonged saccade latency. SNr stimulation also influenced both visually guided and memory-guided saccade latency. In our minds, the results of stimulation on saccade latency are the most difficult to understand with what is currently known about the function of the SNr–SC pathway in monkeys. The prediction based on current knowledge is that electrical stimulation of the SNr should activate an inhibitory drive to the SC and increase saccade latency. However, we saw decreases in latency <200 ms and increases in latency >200 ms. One possibility is that current spread from the SNr to the adjacent internal capsule activating excitatory inputs to the SC arising from cortex. This was suggested as an explanation for the monosynaptic excitatory postsynaptic potentials recorded in SC neurons with stimulation of the SNr (Karabelas and Moschovakis 1985). We think this interpretation is unlikely for two reasons. First, we routinely increased the stimulation current 80 µA, to purposefully activate the internal capsule fibers. As confirmation of the current spread into the capsule, 80 µA usually evoked shoulder twitches. We then reduced the current intensity for the experiments. Second, given the stimulation parameters we used (60 µA, 300 Hz) we would expect that driving excitatory input to the SC directly would evoke saccades with latencies shorter than what we generally observed (Bruce and Goldberg 1985; Robinson 1972; Robinson and Fuchs 1969). Therefore as we suggested earlier the electrical stimulation may initially disinhibit the SC and then subsequently inhibit the SC. One way this may come about is if inhibitory caudate fibers projecting to the SNr (Hikosaka et al. 1993) are activated, initially resulting in a suppression of SNr activity. Because our trains were long (400 ms), GABA may be depleted, thus allowing SNr neurons to recover from inhibition and then inhibit SC neurons.

A second possibility is that the SNr neurons project to GABAergic interneurons that are known to exist in the SC (Behan and Kime 1996; Behan et al. 2002). A projection to interneurons was not demonstrated directly (Bickford and Hall 1992), although anatomical experiments in rat, cat, and monkey suggest that the pathway from the SNr to the SC has more nuances than appreciated by the model developed from the monkey experiments (Beckstead 1983; Beckstead et al. 1981; Deniau and Thierry 1997; Harting et al. 1988). There are at least three pathways from the SNr to the SC. The first is uncrossed, arises from the lateral SNr, and projects to the superficial layers of the SC and the dorsal intermediate layers of the SC. The second is uncrossed, arises from the medial SNr, and projects to the lower intermediate layers of the SC and the deep layers of the SC. The third is crossed and terminates in the contralateral SC (Gerfen et al. 1982; Harting and Van Lieshout 1991; Harting et al. 1988; Huerta et al. 1991; Jayaraman et al. 1977; Jiang et al. 2003; Mana and Chevalier 2001). Furthermore, dorsally located neurons in the SNr tend to project more rostrally in the SC compared with ventrally located SNr neurons that tend to project more caudally in SC (Gerfen et al. 1982). These anatomical results suggest that further inquiry into the topographical organization of the SNr–SC pathway in the behaving monkey would be a worthwhile effort.

A recent study of eye movements in PD patients indicates that the BG dysfunction associated with this disease impairs voluntary movement initiation but also impairs the ability to suppress reflexively driven saccades. This lesser-appreciated symptom was determined by measuring an increase in saccadic intrusions (errors) during the delay period of a delayed antisaccade task (Amador et al. 2006; Briand et al. 1999). Although controversial, according to classical models of BG dysfunction in PD the net effect of reduced dopamine tone is to increase the inhibitory output of the BG (Albin et al. 1995). Thus the decreased latency reported here may be interpreted as evidence that the stimulation acts to inactivate the SNr, but also may indicate that electrical stimulation mimics the PD state and increases the inhibitory output. We propose that the stimulation increases the inhibitory output of the BG and produces an inability to suppress a reflexive saccade. Indeed, that BG are involved in reflex suppression is well documented (Basso and Evinger 1996; Basso et al. 1993, 1996; Mink and Thatch 1991a,b). Thus consistent with the recent work in humans (Amador et al. 2006; Briand et al. 2001), our stimulation experiments suggest that the BG may play a role in both reflexive and nonvisually guided, voluntary eye movements.

Clinical implications for DBS

The technique of electrical stimulation is used experimentally to mimic naturally occurring neuronal signals (Bruce et al. 1985; Hanks et al. 2006; Salzman et al. 1990; Schiller and Stryker 1972). In contrast, the original rationale for using electrical stimulation clinically as a treatment for certain neurological diseases was to produce a temporary lesion (Benabid 2003). Because the neurosurgical treatment of certain diseases involved making lesions electrolytically, Benabid (2003) reasoned that he could produce a temporary lesion by chronically stimulating the nucleus rather than permanently damaging it. Since then, there has been a wealth of investigation aimed at understanding how DBS alters neural tissue (e.g., Anderson et al. 2003; Dostrovsky et al. 2000; Hashimoto et al. 2003; Larsy et al. 2003; McIntyre et al. 2004; Montgomery and Baker 2000). However, comparatively less effort is aimed at understanding how the effects of stimulation translate to behavior. Based on the results reported here, we believe that future experiments using the SNr–SC pathway and eye movements should provide a powerful model system in which to explore the contribution of SNr activity to saccade control, downstream effects of DBS on the discharge properties of SC neurons, and also the mechanism of DBS on behavior.

	GRANTS

TOP ABSTRACT INTRODUCTION METHODS RESULTS DISCUSSION GRANTS ACKNOWLEDGMENTS REFERENCES

 
This work was supported by National Eye Institute Grant EY-13692 and an Esther A. and Joseph Klingenstein Foundation grant to M. A. Basso. We also acknowledge the support of National Center for Research Resources Grant P51 RR-000167 to the Wisconsin National Primate Research Center.

	ACKNOWLEDGMENTS

TOP ABSTRACT INTRODUCTION METHODS RESULTS DISCUSSION GRANTS ACKNOWLEDGMENTS REFERENCES

 
We thank J. Munch and J. J. Pokorny for technical support during the initial stages of these experiments, T.J.G. Day for participating in preliminary data analysis, and the Parkinson Disease Foundation for funding the summer student fellowship to T.J.G. Day. We also thank J. Grewal and S. Shatadal for histology and colleagues X. Li, B. Kim, and Dr. Kae Nakamura for comments on the manuscript.

	FOOTNOTES

 
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Address for reprint requests and other correspondence: M. A. Basso, Department of Physiology, University of Wisconsin–Madison, Medical School, 1300 University Ave., Room 127 SM1, Madison, WI 53706 (E-mail: michele{at}physiology.wisc.edu)

	REFERENCES

TOP ABSTRACT INTRODUCTION METHODS RESULTS DISCUSSION GRANTS ACKNOWLEDGMENTS REFERENCES

 
Albin RL, Young AB, Penney JB. The functional anatomy of disorders of the basal ganglia. Trends Neurosci 18: 63–63, 1995.[CrossRef][Web of Science][Medline]

Alexander GE, DeLong MR, Strick PL. Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu Rev Neurosci 9: 357–381, 1986.[CrossRef][Web of Science][Medline]

Amador SC, Hood AJ, Schiess MC, Izor R, Sereno AB. Dissociating cognitive deficits involved in voluntary eye movement dysfunctions in Parkinson's disease patients. Neuropsychologia 44: 1475–1482, 2006.[CrossRef][Web of Science][Medline]

Anderson ME, Postupna N, Ruffo M. Effects of high-frequency stimulation in the internal globus pallidus on the activity of thalamic neurons in the awake monkey. J Neurophysiol 89: 1150–1160, 2003.[Abstract/Free Full Text]

Ashby P, Kim YJ, Kumar R, Lang AE, Lozano AM. Neurophysiological effects of stimulation through electrodes in the human subthalamic nucleus. Brain 122: 1919–1931, 1999.[Abstract/Free Full Text]

Basso MA, Evinger C. An explanation for reflex blink hyperexcitability in Parkinson's disease. II. Nucleus raphe magnus. J Neurosci 16: 7318–7330, 1996.[Abstract/Free Full Text]

Basso MA, Pokorny JJ, Liu P. Activity of monkey substantia nigra pars reticulata neurons during smooth pursuit eye movements. Eur J Neurosci 22: 448–464, 2005.[CrossRef][Web of Science][Medline]

Basso MA, Powers AS, Evinger C. An explanation for reflex blink hyperexcitability in Parkinson's disease. I. Superior colliculus. J Neurosci 16: 7308–7317, 1996.[Abstract/Free Full Text]

Basso MA, Strecker RE, Evinger C. Midbrain 6-hydroxydopamine lesions modulate blink reflex excitability. Exp Brain Res 94: 88–96, 1993.[Web of Science][Medline]

Basso MA, Wurtz RH. Neuronal activity in substantia nigra pars reticulata during target selection. J Neurosci 22: 1883–1894, 2002.[Abstract/Free Full Text]

Bayer HM, Handel A, Glimcher PW. Eye position and memory saccade related responses in substantia nigra pars reticulata. Exp Brain Res 154: 428–441, 2002.[CrossRef]

Beckstead RM. Long collateral branches of substantia nigra pars reticulata axons to thalamus, superior colliculus and reticular formation in monkey and cat. Multiple retrograde neuronal labeling with fluorescent dyes. Neuroscience 10: 767–779, 1983.[CrossRef][Web of Science][Medline]

Beckstead RM, Edwards SB, Frankfurter A. A comparison of the intranigral distribution of nigrotectal neurons labeled with horseradish peroxidase in the monkey, cat, and rat. J Neurosci 1: 121–125, 1981.[Abstract]

Behan M, Kime NM. Intrinsic circuitry in the deep layers of the cat superior colliculus. Vis Neurosci 13: 1031–1042, 1996.[Web of Science][Medline]

Behan M, Steinhacker K, Jeffrey-Borger S, Meredith M. Chemoarchitecture of GABAergic neurons in the ferret superior colliculus. J Comp Neurol 452: 334–359, 2002.[CrossRef][Web of Science][Medline]

Benabid AL. Deep brain stimulation for Parkinson's disease. Curr Opin Neurobiol 13: 696–706, 2003.[CrossRef][Web of Science][Medline]

Bickford ME, Hall WC. The nigral projection to predorsal bundle cells in the superior colliculus of the rat. J Comp Neurol 319: 11–33, 1992.[CrossRef][Web of Science][Medline]

Borg-Graham LJ, Monier C, Fregnac Y. Visual input evokes transient and strong shunting inhibition in visual cortical neurons. Nature 393: 369–373, 1998.[CrossRef][Medline]

Briand KA, Hening W, Poizner H, Sereno AB. Automatic orienting of visuospatial attention in Parkinson's disease. Neuropsychologia 39: 1240–1249, 2001.[CrossRef][Web of Science][Medline]

Briand KA, Strallow D, Hening W, Poizner H, Sereno AB. Control of voluntary and reflexive saccades in Parkinson's disease. Exp Brain Res 129: 38–48, 1999.[CrossRef][Web of Science][Medline]

Bruce CJ, Goldberg ME, Bushnell MC, Stanton GB. Primate frontal eye fields. II. Physiological and anatomical correlates of electrically evoked eye movements. J Neurophysiol 54: 714–734, 1985.[Abstract/Free Full Text]

Chevalier G, Deniau JM. Disinhibition as a basic process in the expression of striatal functions. Trends Neurosci 13: 277–280, 1990.[CrossRef][Web of Science][Medline]

Chevalier G, Deniau JM, Thierry AM, Feger J. The nigro-tectal pathway. An electrophysiological reinvestigation in the rat. Brain Res 213: 253–263, 1981a.[CrossRef][Web of Science][Medline]

Chevalier G, Thierry AM, Shibazaki T, Feger J. Evidence for a GABAergic inhibitory nigrotectal pathway in the rat. Neurosci Lett 21: 67–70, 1981b.[CrossRef][Web of Science][Medline]

Chevalier G, Vacher S, Deniau JM. Inhibitory nigral influence on tectospinal neurons, a possible implication of basal ganglia in orienting behavior. Exp Brain Res 53: 320–326, 1984.[Web of Science][Medline]

Chevalier G, Vacher S, Deniau JM, Desban M. Disinhibition as a basic process in the expression of striatal functions. I. The striato-nigral influence on tecto-spino/tecto-diencephalic neurons. Brain Res 334: 215–226, 1985.[CrossRef][Web of Science][Medline]

Churchland MM, Shenoy KV. Delay of movement caused by disruption of cortical preparatory activity. J Neurophysiol 97: 348–359, 2007.[Abstract/Free Full Text]

Crist CF, Yamasaki DSG, Komatsu H, Wurtz RH. A grid system and a microsyringe for single cell recording. J Neurosci Methods 26: 117–122, 1988.[CrossRef][Web of Science][Medline]

Day TJ, Liu P, Basso MA. Substantia nigra neurons influences saccades and superior colliculus neurons. Program No. 1673. 2005 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience, 2005.

Deniau JM, Thierry AM. Anatomical segregation of information processing in the rat substantia nigra pars reticulata. Adv Neurol 74: 83–96, 1997.[Web of Science][Medline]

Dostrovsky JO, Levy R, Wu JP, Hutchison WD, Tasker RR, Lozano AM. Microstimulation-induced inhibition of neuronal firing in human globus pallidus. J Neurophysiol 84: 570–574, 2000.[Abstract/Free Full Text]

Gerfen CR. The neostriatal mosaic. I. Compartmental organization of projections from the striatum to the substantia nigra in the rat. J Comp Neurol 236: 454–476, 1985.[CrossRef][Web of Science][Medline]

Gerfen CR, Staines WA, Arbuthnott GW, Fibiger HC. Crossed connections of the substantia nigra in the rat. J Comp Neurol 207: 283–303, 1982.[CrossRef][Web of Science][Medline]

Gerfen CR, Wilson CJ. The Basal Ganglia. Amsterdam: Elsevier, 1996.

Glickstein M, Stein J. Paradoxical movement in Parkinson's disease. Trends Neurosci 14: 480–482, 1991.[CrossRef][Web of Science][Medline]

Graybiel AM. Organization of the nigrotectal connection: an experimental tracer study in the cat. Brain Res 143: 339–348, 1978.[CrossRef][Web of Science][Medline]

Handel A, Glimcher PW. Quantitative analysis of substantia nigra pars reticulata activity during a visually guided saccade task. J Neurophysiol 82: 3458–3475, 1999.[Abstract/Free Full Text]

Handel A, Glimcher PW. Contextual modulation of substantia nigra pars reticulata neurons. J Neurophysiol 83: 3042–3048, 2000.[Abstract/Free Full Text]

Hanes DP, Wurtz RH. Interaction of the frontal eye field and superior colliculus for saccade generation. J Neurophysiol 85: 804–815, 2001.[Abstract/Free Full Text]

Hanks TD, Ditterich J, Shadlen MN. Microstimulation of macaque area LIP affects decision-making in a motion discrimination task. Nat Neurosci 9: 682–689, 2006.[CrossRef][Web of Science][Medline]

Harting JK, Huerta MF, Hashikawa T, Weber JT, Van Lieshout DP. Neuroanatomical studies of the nigrotectal projections in the cat. J Comp Neurol 278: 615–631, 1988.[CrossRef][Web of Science][Medline]

Harting JK, Van Lieshout DP. Spatial relationships of axons arising from the substantia nigra, spinal trigeminal nucleus, and pedunclopontine tegmental nucleus within the intermediate gray of the cat superior colliculus. J Comp Neurol 305: 543–558, 1991.[CrossRef][Web of Science][Medline]

Hashimoto T, Elder CM, DeLong MR, Vitek JL. Responses of pallidal neurons to electrical stimulation of the subthalamic nucleus in experimental parkinsonism. Soc Neurosci Abstr 750.5, 2001.

Hashimoto T, Elder CM, Okun MS, Patrick SK, Vitek JL. Stimulation of the subthalamic nucleus changes the firing pattern of pallidal neurons. J Neurosci 23: 1916–1923, 2003.[Abstract/Free Full Text]

Helminski JO, Segraves MA. Macaque frontal eye field input to saccade-related neurons in the superior colliculus. J Neurophysiol 90: 1046–1062, 2003.[Abstract/Free Full Text]

Hikosaka O, Sakamoto M. Cell activity in monkey caudate nucleus preceding saccadic eye movements. Exp Brain Res 63: 659–662, 1986.[CrossRef][Web of Science][Medline]

Hikosaka O, Sakamoto M, Miyashita N. Effects of caudate nucleus stimulation on substantia nigra cell activity in monkey. Exp Brain Res 95: 457–472, 1993.[Web of Science][Medline]

Hikosaka O, Sakamoto M, Usui S. Functional properties of monkey caudate neurons. I. Activities related to saccadic eye movements. J Neurophysiol 61: 780–798, 1989a.[Abstract/Free Full Text]

Hikosaka O, Sakamoto M, Usui S. Functional properties of monkey caudate neurons. II. Visual and auditory responses. J Neurophysiol 61: 799–813, 1989b.[Abstract/Free Full Text]

Hikosaka O, Sakamoto M, Usui S. Functional properties of monkey caudate neurons. III. Activities related to expectation of target and reward. J Neurophysiol 61: 814–832, 1989c.[Abstract/Free Full Text]

Hikosaka O, Takikawa Y, Kawagoe R. Role of the basal ganglia in the control of purposive saccadic eye movements. Physiol Rev 80: 953–978, 2000.[Abstract/Free Full Text]

Hikosaka O, Wurtz RH. Visual and oculomotor functions of monkey substantia nigra pars reticulata. I. Relation of visual and auditory responses to saccades. J Neurophysiol 49: 1230–1253, 1983a.[Free Full Text]

Hikosaka O, Wurtz RH. Visual and oculomotor functions of monkey substantia nigra pars reticulata. II. Visual responses related to fixation of gaze. J Neurophysiol 49: 1254–1267, 1983b.[Free Full Text]

Hikosaka O, Wurtz RH. Visual and oculomotor functions of monkey substantia nigra pars reticulata. III. Memory-contingent visual and saccade responses. J Neurophysiol 49: 1268–1284, 1983c.[Free Full Text]

Hikosaka O, Wurtz RH. Visual and oculomotor functions of monkey substantia nigra pars reticulata. IV. Relation of substantia nigra to superior colliculus. J Neurophysiol 49: 1285–1301, 1983d.[Free Full Text]

Hikosaka O, Wurtz RH. Modification of saccadic eye movements by GABA-related substances. II. Effects of muscimol in monkey substantia nigra pars reticulata. J Neurophysiol 53: 292–308, 1985.[Abstract/Free Full Text]

Houeto JL, Karachi C, Mallet L, Pillon B, Yelnik J, Mesnage V, Welter ML, Navarro S, Pelissolo A, Damier P, Pidoux B, Dormont D, Cornu P, Agid Y. Tourette's syndrome and deep brain stimulation. J Neurol Neurosurg Psychiatry 76: 992–995, 2005.[Abstract/Free Full Text]

Huerta MF, Van Lieshout DP, Harting JK. Nigrotectal projections in the primate Galago crassicaudatus. Exp Brain Res 87: 389–401, 1991.[Web of Science][Medline]

Jayaraman A, Batton III, RR, Carpenter MB. Nigrotectal projections in the monkey: an autoradiographic study. Brain Res 135: 147–152, 1977.[CrossRef][Web of Science][Medline]

Jiang H, Stein BE, McHaffie JG. Opposing basal ganglia processes shape midbrain visuomotor activity bilaterally. Nature 423: 982–986, 2003.[CrossRef][Medline]

Judge SJ, Richmond BJ, Chu FC. Implantation of magnetic search coils for measurement of eye position: an improved method. Vision Res 20: 535–538, 1980.[CrossRef][Web of Science][Medline]

Karabelas AB, Moschovakis AK. Nigral inhibitory termination on efferent neurons of the superior colliculus: an intracellular horseradish peroxidase study in the cat. J Comp Neurol 239: 309–329, 1985.[CrossRef][Web of Science][Medline]

Keppel G. Design and Analysis: A Researcher's Handbook. Upper Saddle River, NJ: Prentice Hall, 1991.

Larsy D, Vitek JL, Lozano AM. Surgical Treatment of Parkinson's Disease and Other Movement Disorders. Clifton, NJ: Humana Press, 2003.

Li X, Basso MA. Competitive stimulus interactions within single response fields of superior colliculus neurons. J Neurosci 25: 11357–11373, 2005.[Abstract/Free Full Text]

Liu P, Munch J, Basso MA. Microstimulation of the substantia nigra pars reticulata influences saccadic eye movements in the monkey. Program No. 72.4. 2003 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience, 2003.

Mana S, Chevalier G. The fine organization of nigro-collicular channels with additional observations of their relationships with acetylcholinesterase in the rat. Neuroscience 106: 357–374, 2001.[CrossRef][Web of Science][Medline]

May PJ, Hartwich-Young R, Nelson J, Sparks DL, Porter JD. Cerebellotectal pathways in the macaque: Implications for collicular generation of saccades. Neuroscience 36: 305–324, 1990.[CrossRef][Web of Science][Medline]

Mayberg HS, Lozano AM, Voon V, McNeely HE, Seminowicz D, Hamani C, Schwalb JM, Kennedy SH. Deep brain stimulation for treatment-resistent depression. Neuron 45: 651–660, 2005.[CrossRef][Web of Science][Medline]

McIntyre CC, Mori S, Sherman DL, Thakor NV, Vitek JL. Electric field and stimulating influence generated by deep brain stimulation of the subthalamic nucleus. Clin Neurophysiol 115: 589–595, 2004.[CrossRef][Web of Science][Medline]

Mikula S, Trotts I, Stone J, Jones EG. Internet-enabled high-resolution brain mapping and virtual microscopy. Neuroimage 35: 9–15, 2007.[CrossRef][Web of Science][Medline]

Mink JW, Thatch WT. Basal ganglia motor control. II. Late pallidal timing relative to movement onset and inconsistent coding of movement parameters. J Neurophysiol 65: 301–329, 1991a.[Abstract/Free Full Text]

Mink JW, Thatch WT. Basal ganglia motor control. III. Pallidal ablation: normal reaction time, muscle cocontraction, and slow movement. J Neurophysiol 65: 330–351, 1991b.[Abstract/Free Full Text]

Mishkin M, Petri HL. Memories and Habit: Some Implications for the Analysis of Learning and Retention. New York: Guilford, 1984.

Montgomery EBJ, Baker KB. Mechanisms of deep brain stimulation and future technical developments. Neurol Res 22: 259–266, 2000.[Web of Science][Medline]

Moro E, Esselink RJA, Xie J, Hommel M, Benabid AL, Pollak P. The impact on Parkinson's disease of electrical parameter settings in STN stimulation. Neurology 59: 706–713, 2002.[Abstract/Free Full Text]

Morris ME, Iansek R, Matyas TA, Summers JJ. Stride length regulation in Parkinson's disease: normalization strategies and underlying mechanisms. Brain 119: 551–568, 1996.[Abstract/Free Full Text]

Moschovakis AK, Karabelas AB, Highstein SM. Structure–function relationships in the primate superior colliculus. I. Morphological classification of efferent neurons. J Neurophysiol 60: 232–262, 1988a.[Abstract/Free Full Text]

Moschovakis AK, Karabelas AB, Highstein SM. Structure–function relationships in the primate superior colliculus. II. Morphological identification of presaccadic neurons. J Neurophysiol 60: 263–302, 1988b.[Abstract/Free Full Text]

Moschovakis AK, Scudder CA, Highstein SM. The microscopic anatomy and physiology of the mammalian saccadic system. Prog Neurobiol 50: 133–254, 1996.[CrossRef][Web of Science][Medline]

Nambu A, Kaneda K, Tokuno H, Takada M. Organization of corticostriatal motor inputs in monkey putamen. J Neurophysiol 88: 1830–1842, 2002.[Abstract/Free Full Text]

Özen G, Helms MC, Hall WC. The intracollicular neuronal network. In: The Superior Colliculus: New Approaches for Studying Sensorimotor Integration, edited by Hall WC, Moschovakis AK. Boca Raton, FL: CRC Press, 2004, p. 147–158.

Paré M, Wurtz RH. Monkey posterior parietal cortex neurons antidromically activated from superior colliculus. J Neurophysiol 78: 3493–3497, 1997.[Abstract/Free Full Text]

Paré M, Wurtz RH. Progression in neuronal processing for saccadic eye movements from parietal cortex area LIP to superior colliculus. J Neurophysiol 85: 2545–2562, 2001.[Abstract/Free Full Text]

Parthasarathy HB, Schall JD, Graybiel AM. Distributed but convergent ordering of corticostriatal projections: analysis of frontal eye field and supplementary eye field in the macaque monkey. J Neurosci 12: 4468–4488, 1992.[Abstract]

Perlmutter JS, Mink JW. Deep brain stimulation. Annu Rev Neurosci 29: 229–257, 2006.[CrossRef][Web of Science][Medline]

Robinson DA. Eye movements evoked by collicular stimulation in the alert monkey. Vision Res 12: 1795–1808, 1972.[CrossRef][Web of Science][Medline]

Robinson DA, Fuchs AF. Eye movements evoked by stimulation of frontal eye fields. J Neurophysiol 32: 637–648, 1969.[Free Full Text]

Salzman CD, Britten KH, Newsome WT. Cortical microstimulation influences perceptual judgments of motion detection. Nature 346: 174–177, 1990.[CrossRef][Medline]

Sato M, Hikosaka O. Role of primate substantia nigra pars reticulata in reward-oriented saccadic eye movement. J Neurosci 22: 2363–2373, 2002.[Abstract/Free Full Text]

Schall JD. Visuomotor areas of the frontal lobe. In: Cerebral Cortex, edited by Rockland K, Kaas JH. New York: Plenum Press, 1997, p. 527–638.

Schiller PH. The neural control of visually guided eye movements. In: Cognitive Neuroscience of Attention, edited by Richards JE. Mahwah, NJ: Erlbaum, 1998, p. 3–50.

Schiller PH, Stryker M. Single-unit recording and stimulation in superior colliculus of the alert rhesus monkey. J Neurophysiol 35: 915–924, 1972.[Free Full Text]

Schiller PH, True SD, Conway JL. Effects of frontal eye field and superior colliculus ablation on eye movements. Science 206: 590–592, 1979.[Abstract/Free Full Text]

Schiller PH, True SD, Conway JL. Deficits in eye movements following frontal eye field and superior colliculus ablations. J Neurophysiol 44: 1175–1189, 1980.[Abstract/Free Full Text]

Selemon LD, Goldman-Rakic PS. Longitudinal topography and interdigitation of corticostriatal projections in the rhesus monkey. J Neurosci 5: 776–794, 1985.[Abstract]

Sommer MA, Wurtz RH. Frontal eye field neurons orthodromically activated from the superior colliculus. J Neurophysiol 80: 3331–3335, 1998.[Abstract/Free Full Text]

Sommer MA, Wurtz RH. Composition and topographic organization of signals sent from the frontal eye field to the superior colliculus. J Neurophysiol 83: 1979–2001, 2000.[Abstract/Free Full Text]

Sparks DL. Translation of sensory signals into commands for control of saccadic eye movements: role of primate superior colliculus. Physiol Rev 66: 118–171, 1986.[Abstract/Free Full Text]

Sparks DL. Commands for coordinated eye and head movements in the primate superior colliculus. In: The Superior Colliculus: New Approaches for Studying Sensorimotor Integration, edited by Hall WC, Moschovakis AK. Boca Raton, FL: CRC Press, 2004, p. 303–318.

Sparks DL, Hartwich-Young R. The neurobiology of saccadic eye movements. The deep layers of the superior colliculus. Rev Oculomot Res 3: 213–256, 1989.[Medline]

Stanton GB, Bruce CJ, Goldberg ME. Frontal eye field efferents in the macaque monkey. II. Topography of terminal fields in midbrain and pons. J Comp Neurol 271: 493–506, 1988.[CrossRef][Web of Science][Medline]

White JM, Sparks DL, Stanford TR. Saccades to remembered target locations: an analysis of systematic and variable errors. Vision Res 34: 79–92, 1994.[CrossRef][Web of Science][Medline]

Wichmann T, Kliem MA. Neuronal activity in the primate substantia nigra pars reticulata during the performance of simple and memory-guided elbow movements. J Neurophysiol 91: 815–827, 2004.[Abstract/Free Full Text]

Wurtz RH, Basso MA, Paré M, Sommer MA. The superior colliculus and the cognitive control of movement. In: The New Cognitive Neurosciences (2nd ed.), edited by Gazzaniga MS. Cambridge, MA: The MIT Press, 2000, p. 573–587.

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