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1The Smith-Kettlewell Eye Research Institute, San Francisco, California; and 2Department of Neurology, Seoul National University, Seoul, Korea
Submitted 12 June 2008; accepted in final form 8 September 2008
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ABSTRACT |
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INTRODUCTION |
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Target selection deficits following muscimol-induced lesions in FEFs were shown in a recent study (Schiller and Tehovnik 2003
). In this study, monkeys were tested in a task that required target selection between two peripheral targets that appeared with asynchronous onset. The target located at the retinotopic location of the lesioned site in FEF was compromised in the selection process in comparison to the other target. Similar target selection deficits were shown in the same study in an oddity detection, visual search task. McPeek (2004)
also showed that muscimol inactivations in FEF degraded monkeys' performance (increased targeting to a distractor in the visual array of stimuli) in a similar visual search task, and the deficit became more pronounced when the perceptual difference between the oddball target and the distractors was decreased. This is consistent with a target selection deficit rather than a purely motor impairment.
In this study, we investigate the effect of muscimol inactivations in FEFs on saccade target selection in a task that requires the arbitrary pairing of each member of a set of nonspatially coded colored visual targets with a particular saccade vector (Lee et al. 2005
). This task differs significantly from both the traditional visuospatial working memory-guided saccade task (Dias and Segraves 1999
) and the visual search task (McPeek 2004
; Schiller and Tehovnik 2003
) previously used in reversible lesion studies in FEF. The working memory-guided saccade task requires the retention in visuospatial memory of the location of a single flashed visual target. Following a delay period after target extinction, a saccade is required to the same location held in memory. However, the location of the remembered target and the required saccade vector to this memory are in spatial register requiring only a simple memory to motor transformation. The visual search task requires the saliency-driven detection of an odd target among distractors. In contrast, the task used in these experiments requires the learned association of a particular color cue that appears centrally with a particular saccade vector. This saccade selection task requires access to associative memory, not working memory, for successful performance. This task also differs from other target selection tasks in that the difficulty of the task is augmented by increasing the number of arbitrary associations (NAs) that must be made, not by increasing the perceptual difficulty. In our task the perceptual difficulty of defining the correct target color remains constant across all NA conditions. A recent functional MRI (fMRI) study has indicated that the FEF is involved in the execution of this task (Lee et al. 2006
). Therefore in this study, we concentrate on determining the effect of NA on saccades guided by recall from associative memory following muscimol inactivations of FEF.
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METHODS |
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Two adult male rhesus monkeys (Macaca mulatta) weighing between 6 and 8 kg were used. Experimental procedures were approved by the Smith-Kettlewell Animal Care and Use Committee and were in compliance with the U.S. Public Health Service Guide for the Care and Use of Laboratory Animals.
A head-restraint post and titanium recording cylinders were implanted under isoflurane anesthesia and sterile surgical conditions. The recording cylinders (15 mm ID) were positioned over craniotomies centered on the left and right arcuate sulci in both animals. These sulci were visible through the intact dura at the time of surgical implantation.
Behavioral tasks
COLOR-CUED ASSOCIATIVE MEMORY-GUIDED SACCADE TASK. At the beginning of each trial, a gray fixation spot appeared at the center of the visual field (Fig. 1). While the monkey was holding fixation on the spot, an array of colored potential targets separated uniformly in direction from each other appeared in the peripheral visual field. The colored array was illuminated for 400 ms, and all target alternatives turned gray so that they were no longer distinguishable by color. After a delay randomly chosen between 400 and 800 ms, the gray fixation spot changed into one of the former target array colors. This color change at the fixation point was a cue to make a saccade and indicated which target to choose. To receive a liquid reward, the animal was required to saccade to the gray target at the array location that previously had the same color as the cue. The arbitrary association between the nonspatial color cue and the required saccade vector was held constant throughout the training and experiments. The number of alternative targets (NA) was constant at one, two, or four within a block of trials. The color presented at the fixation point was randomly sequenced among four colors, each associated with a different saccade vector. The animal was rewarded only if a saccade occurred within 1,000 ms from the cue onset and the endpoint was within 2 and 15° from the correct target in amplitude and direction, respectively. We were able to monitor saccade accuracy on-line within each block of trials. In the postlesion condition, saccades that went to the correct target quadrant became more inaccurate. We increased the size of the reward window to increase the percent of rewarded trials that were inaccurate but still went to the correct target quadrant. This procedure kept the animals working on the task.
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Our aim in using the 1-NA condition was to see whether the deficit in performance following FEF inactivations was dependent on the number of alternatives in such a way that it was present only in multiple-choice situations. Although there is only one choice present in the 1-NA condition, this task may be processed differently from the typical one-target visually guided or working memory-guided saccade task, both tasks widely used in defining the neural basis of saccade generation. In the latter tasks, only a single target appears, and the animal must suppress a saccade to its location (still present or held in memory) until the fixation light goes off. In the 1-NA condition of the choice task, only a single target is present, but the animal has to wait until the fixation light changes color. We believe that the animals treat trials of this type that appear in a block of trials intermixed with blocks of the 2-NA or 4-NA condition as a choice response. This hypothesis is supported by our previous work (Lee and Keller 2008
) in which we showed that saccade latency was significantly longer in the 1-NA condition than it was for the one target, delayed-saccade task even though a single target was present in both cases.
Note that all potential targets were gray when the cue was given, so that the target selection had to be made by recalling which of the peripheral locations was associated with the color now presented in the cue and not by a visual matching between cue and targets. Because the association of color and target locations was pretrained and fixed through all blocks of trials, the monkeys performed the task relying on a long-term symbolic association between color and target location. Therefore even though the location of the target colors were shown at the beginning of each trial (Fig. 1), a visual working memory of target configuration was not crucial for performing the task.
The two monkeys were trained on the associative-memory saccade task for a period of
6 wk. During the training period and the subsequent experimental sessions, blocks of trials with a fixed NA (randomly selected from 1-, 2-, or 4-NA) were used, and the red cue was associated with the gray target located in a direction 45° into the top right visual quadrant with the yellow cue associated with the target in the top left, the green cue with the target in the bottom left, and the blue cue with the target in the bottom right quadrants, respectively. In each block,
10 trials were recorded for each of the four potential target positions (40 trials/block).
VISUALLY GUIDED DELAYED SACCADE TASK. While the animal fixated at a central, gray fixation point, a single gray target appeared at selected peripheral locations. The monkey was required to hold fixation until the fixation point was turned off after a random interval of 300–1,000 ms. The offset of the fixation point signaled the animal to make a saccade to the peripheral target to receive a liquid reward. The peripheral target was presented at the same set of locations used in the associative memory task.
GAP-SACCADE TASK. The monkey fixated at a central gray fixation point that was turned off after a delay. After an interval of 200 ms following fixation off, a single gray target appeared at selected peripheral locations. The animal was required to maintain fixation at the location of the extinguished fixation point until the peripheral target appeared and to make a saccade to the latter target.
Neural recording, microstimulation, and location of injecting sites
Testing was performed in a dimly illuminated room. A custom real-time program controlled experimental events and data collection, running on a personal computer with dual Xeon processors and Windows XP equipped with two National Instrument multi-channel IO boards. Visual targets were displayed on a screen at a distance of 107 cm from the animal's eyes. Eye position and velocity were recorded with a video-based eye tracker (Eyelink2, SR Research, Mississauga, Ontario, Canada) and sampled at 500 Hz. The activity of neurons was recorded using tungsten microelectrodes lowered through the recording cylinder within a sharpened guide tube which abraded, but did not penetrate the dura. Before any lesions were made, we conducted a series of microelectrode recording/stimulating studies to establish the topological map of the FEFs with respect to the center of each cylinder. We noted the depth on each track where the microelectrode penetrated the dura. The depths over which neural responses were recorded were noted, and the response fields of single units or multiunit activity were roughly determined by on-line analysis.
Electrical microstimulation was used to determine the depth on each penetration at which saccades were evoked at minimal current in the gap-saccade task. Pulse-train stimulation consisting of biphasic stimuli (0.25 ms each phase at 250 Hz) was delivered 100 ms after the offset of the fixation point at microelectrode advancement intervals of
1 mm. We determined the mediolateral and dorsoventral boundries of the FEFs in the anterior bank of the arcuate sulcus where the threshold for evoking saccades was 50 µA or less. These topographically organized spatial maps of the FEFs resembled those reported by Sommer and Wurtz (2000)
.
We occasionally evoked smooth pursuit eye movements at some very lateral and ventral sites in the FEFs. None of the muscimol injections were made in regions where pursuit eye movements were evoked.
Muscimol inactivations
After completing the mapping of the bilateral FEF for the low-threshold region for evoking saccades, we initiated a series of experiments using muscimol injections to determine the effect of inactivation of FEF on saccades controlled by recall from associative memory. In each of the two monkeys, we attempted to spread the location of the injection sites from lateral to medial throughout the anterior bank where the amplitude of the evoked saccades varied from 3 to 15°. For each injection site, we first lowered a microelectrode inside a guide tube. After the electrode had penetrated the dura and eye movement–related activity began to be recorded, we applied electrical stimulation at sites separated by 1 mm of electrode advancement. We located the site associated with the lowest current threshold for evoking a saccade on each penetration. The depth of this site was carefully measured on the microdrive, and the electrode was withdrawn leaving the guide tube in place. A 33-gauge hypodermic cannula was inserted into the guide tube and was lowered until its tip was located at the same depth previously occupied by the tip of the stimulating electrode. Injections of muscimol were made through the cannula using pressure injection from a Harvard minipump. The concentration of the muscimol solution was kept constant at 5 µg/µl. The normal volume of solution injected was 1 µl over a period of
2 min. The amount of solution injected was monitored by watching the movement of a small bubble against fiducial marks located on the Teflon tubing connecting the pump to the injection cannula. Following the injection, the cannula was left in place for
10 min and was withdrawn. Data collection began 0.5 h after the onset of the injection, but at this time, the effect of the inactivations was small and variable so most of the data were collected starting at 1 h. At a few sites we continued to collect data on the effect of inactivations on eye movements made in the associative memory task for times up to several hours.
In both monkeys, we also made simultaneous bilateral injections of muscimol, one in each hemifield, in addition to the unilateral injections. Because of the length of time involved in the setup for these bilateral injections, we did not use microelectrode penetrations to find the low threshold site before lowering the injecting cannula into the anterior bank. Instead, we located the cannula penetrations and their depths based on previous microelectrode results where we had good information about the size and direction of the evoked saccade. Sites were located in each cylinder where saccades of similar amplitude had been previously evoked at currents <50 µA. We advanced the two cannulas directly to these known depths before the injections were made. Pressure injections were made simultaneously through both cannulas. The concentration of the muscimol solution remained at 5 µg/µl, and the amount injected at each site was
1 µl. Following the completion of the postlesion data collection, the animal was returned to its home cage. Control data were collected the following day, and full recovery was always noted.
In each monkey, we made at least one injection of 1 µl of sterile saline in each hemifield and recorded a complete set of data after a hiatus of 1 h to control for the possibility that any negative effects produced by muscimol inactivation might have been caused by local pressure on cortical neurons or local dilution of the extracellular fluid at the injection sites. The animal's general behavior was monitored throughout the experiment by an infrared video camera.
Data analysis
Saccade behavior was measured off-line using programs written in MATLAB (The Mathworks). Markers were available for all experimental events used in each task. The onset and offset of saccades were determined by velocity criteria (30°/s radial velocity for onset and 10°/s for offset). Correct placement of these marks was checked manually and adjusted where necessary.
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RESULTS |
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Effects on choice performance
Figures 2 and 3 (top plots) show the control performance of the two monkeys for the 4-NA condition before placement of the lesions. The data were pooled from one or two blocks of trials for each NA condition taken immediately before making the inactivations. The figures are organized with data for monkey S in Fig. 2 and that for monkey N in Fig. 3. Each plot shows the topological arrangement of the cue (colored disk at the center) and the four candidate target locations from the animals' viewpoint at the time that the cue color has been presented. The yellow cue signals the candidate target at the top left position is the correctly associated target. The red cue signals the target at the top right, the green cue the target at the bottom left, and the blue cue the target at the bottom right. The black symbols show each animal's saccadic endpoints on individual trials for data sorted into responses made to each of the colored cues.
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2 and 4%, respectively). In the control data, the choice errors appeared to be randomly distributed into the three wrong quadrants, but the small number of choice errors prevented statistical verification of this claim. The filled circles in Figs. 2 and 3 show movement endpoints that landed outside the 95% confidence ellipses but were directed into the correct quadrant associated with the cue color presented at the fixation point. We will refer to errors of this type as "motor errors." By definition, each animal had
5% motor errors in its prelesion data. Trials with motor errors might or might not be rewarded. The criteria for reward are given in METHODS.
The bottom four subplots in Fig. 2 show typical results following a muscimol injection for the 4-NA condition obtained 1 h after a unilateral lesion was placed in the left FEF in monkey S. The bottom four subplots in Fig. 3 show example results for monkey N for the 4-NA condition following the placement of a lesion in the left FEF. In both animals, the saccade evoked by prelesion electrical stimulation was 10° in amplitude and was directed into the right hemifield. Therefore the array of potential targets in both experiments was located with an eccentricity of 10°. In these typical results, the animals make a larger percentage of choice errors after the inactivation in comparison to this animal's prelesion control values. In the example data for monkey S (Fig. 2), the percentage of total choice errors increased to 15% (12 choice errors in 78 trials) compared with the prelesion control value for this animal of 2% error. The majority of these choice errors occurred for trials in which the correct target was located in the contralateral hemifield with respect to the side of the lesion (2 right plots in the bottom 4 panels in Fig. 2). There were 11 contralateral and 1 ipsilateral choice errors (with respect to the side of the correct target). The responses for the 4-NA condition during this FEF inactivation in monkey S also showed much greater saccadic endpoint scatter (
) for saccades directed into the correct quadrant (motor errors), particularly when the correct target was located in the hemifield contralateral to the lesion. The percentage of total motor errors for this particular inactivation was
25% (17 motor errors in 66 trials), a value well above the 5% motor error rate for prelesion controls. Again, the majority of motor errors occurred when the correct target was located in the contralateral field with respect to the side of the lesion (13 for contralateral and 4 for ipsilateral field). The number of trials with choice errors are subtracted from the total number of trials before the percentage of motor errors is computed.
In the example data for monkey N (Fig. 3, bottom 4 plots), the percentage of total choice errors increased to 28% (11 choice errors in 39 trials) compared with the prelesion control value for this animal of 4% error. Again the majority of these choice errors occurred for trials in which the correct target was located in the contralateral hemifield (2 right plots in the bottom panels in Fig. 3). There were 10 contralateral and only 1 ipsilateral choice errors. The responses for the 4-NA condition during this FEF inactivation in monkey N also showed much greater saccadic endpoint scatter (
) for saccades directed into the correct quadrant (motor errors). The percentage of total motor errors for this particular inactivation was
32% (9 motor errors in 28 trials), a value well above the 5% motor error rate for prelesion controls. Again, the majority of motor errors occurred when the correct target was located in the contralateral field (6 for contralateral and 3 for the ipsilateral field targets).
Figure 4 shows data for the 1-NA condition in both animals for the same two example inactivation sites shown in the bottom four plots in Figs. 2 and 3. In contrast to the 4-NA condition, there are no choice errors in either example for this condition. However, the percentage of motor errors was 35% (14 errors in 40 trials) in monkey S and 26% (10 motor errors in 38 trials) in monkey N, predominantly for movements directed to the contralateral side with respect to the lesion.
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The spatial pattern of choice errors and motor errors for the 4-NA condition is examined in Fig. 6. This figure shows pooled data for each monkey in which behavior for the postlesion 4-NA condition is combined across all unilateral injection sites. Figure 6A separates the choice error rate into contralateral (C) and ipsilateral (I) hemifield errors for each animal, where the terms contralateral and ipsilateral errors refer to errors that occurred when the correct target was in the field contralateral or ipsilateral to the lesion, respectively. Contralateral errors occur more frequently than errors made when the correct target is located in the ipsilateral field (4 and 2.3 times more frequently in monkey N and monkey S, respectively). Figure 6B breaks the choice errors in the 4-NA condition down further according to direction relative to the correct target. The inset schematics in this figure clarify the definition of the directional choice errors. Each schematic is constructed for lesions placed on the left side (correct target appears on the right side). Horizontal (H) errors land near the incorrect visual stimulus that is located at the mirror image location in the opposite visual hemifield, vertical (V) errors land near the incorrect target located in the same hemifield, and oblique errors (O) land near the target diagonally opposite from the correct target. In both animals, the errors when the correct target is located contralateral to the lesion are predominantly type H. Type V and O errors are relatively rare. When the correct target is located ipsilateral to the lesion site, the predominant type of choice error among the much smaller percentage of total choice errors is type V with no oblique errors. Figure 6C shows the pooled data for motor errors. This graph shows the percentage of motor errors made when the target appeared in the contralateral (C) and ipsilateral hemifields (I) with respect to the side of the lesion separately for each animal. Motor errors like choice errors were predominantly for targets cued to the contralateral side.
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In Fig. 7C, we compare the percentage of motor errors for the delayed-saccade task and the 4-NA task. The percentage of motor errors was not significantly different in either animal between these two tasks (Wilcoxon rank sum test, P = 0.321).
We examined the behavior 1 h after injection for the four saline injections (1 injection in each hemifield in each monkey). There were no differences in the results obtained with the four injections so we combined the data for the four injections. The percentage of choice errors in the 4-NA condition was 3% for monkey S and 3% for monkey N. The percentage of motor errors was 6% for monkey S and 4% for monkey N. None of these performance measures was significantly different from the combined prelesion controls (Wilcoxon rank sum test, P > 0.05).
Effect of bilateral lesions in the FEF
Previous studies of the FEF using muscimol have only made unilateral inactivations (Dias and Segraves 1999
; McPeek 2004
; Schiller and Tehovnik 2003
; Sommer and Tehovnik1997
). Clear unilateral deficits involving working memory-guided saccades and target selection in popout visual search tasks have been shown in these previous studies. Nevertheless, it is possible that these deficits following unilateral lesions were caused by an unbalance in the operation of the bilateral FEFs and not a specific deficit in the neural mechanisms underlying these two types of visuospatial processing. The bilateral FEFs are known to inhibit each other (Schlag et al. 1998
) under selective conditions. Thus a lesion weakening one FEF may lead to the tonic inhibition of that FEF by the other that could prevent the cognitive processing required for memory-guided or target selection behavior to operate, while sparing the more reflexively driven visually guided saccades.
We made bilateral, reversible lesions in the FEFs in both animals (4 bilateral sites in monkey S and 4 bilateral sites in monkey N) to directly test the hypothesis that the dysfunction in associate memory behavior that we found following unilateral lesions was caused by specific impairments in FEF processing crucial in this behavior and not by bilateral FEF unbalance and tonic inhibition of one side of the cortex by the intact FEF. Figure 8 shows example results for the 4-NA condition from one bilateral injection experiment. The percentage of choice errors in this example was 32%, and these errors were about equally divided between those for the correct target on the right or on the left. This postlesion error rate was significantly larger than the postlesion population choice error rate for unilateral lesion sites in animal S (cf. with Fig. 5A, top graph; Wilcoxon rank sum test, P < 0.01). Figure 9A shows postlesion summary results for the percentage of choice errors as a function of NA for all the bilateral injection sites separately for each animal. Similarly to the results of unilateral lesions, the choice error rate increased significantly as a function of NA in both animals (Wilcoxon rank sum test, P < 0.001 in both animals). Comparison of the results for the 4-NA condition shown in Figs. 9A (bilateral lesions) and 5A (unilateral lesions) indicates that the error rate increased in both animals for the bilateral lesions in comparison to the rate for unilateral lesions (from 14 to 26% in monkey S and from 31.5 to 49.5% in monkey N). These increases in the rate of choice errors for bilateral lesions are 1.9 and 1.6 times larger in comparison to the rate for unilateral lesions. The directional pattern of the choice errors also changed with the bilateral lesions. Whereas the direction of the errors for unilateral lesions was predominantly to the visual stimulus horizontally opposite in the other hemifield, at least for contralateral errors (Fig. 6B, bars labeled H). In the bilateral inactivation case (Fig. 9B), the predominant type of choice error was made to the visual stimulus located in the vertical direction in the same hemifield (V type errors). Figure 9C shows the motor error rate for the bilateral lesions combined for both hemifields as a function of NA. The motor error rate was not significantly different as a function of NA in either animal (ANOVA, P > 0.05). The total motor error rate for the 4-NA condition for both hemifields combined was 52 and 55% for monkeys S and N, respectively. When comparable total motor error rates for unilateral inactivations are computed from the contralateral and ipsilateral data shown in Fig. 6C, the total rates were 58 and 48% for monkeys S and N, respectively. The small decrease in the rate of motor errors in monkey S for the bilateral case in comparison to the unilateral case was not significant (Wilcoxon rank sum test, P = 0.27), whereas the small increase in rate for monkey N was significant (Wilcoxon rank sum test, P < 0.05).
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DISCUSSION |
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Previous inactivation studies of FEFs
Previous studies using chemical inactivation of the FEFs have established that this cortical structure is necessary for saccades generated by recall from visuospatial working memory (Dias and Segraves 1999
; Sommer and Tehovnik 1997
). These studies have described several distinct types of saccadic behavioral deficits following FEF inactivations. There was a tendency for no saccades to be produced when the retinotopic location of the memory coincided with the location represented at the injection site. Those movements that were directed toward the affected region or targets adjacent to this region showed less accurate endpoint control. There was degradation in the monkeys' ability to hold fixation during the delay period, especially when the target was presented in the ipsilateral field. Finally, there was an increase in saccadic latency for movements directed into the affected field. All these deficits following inactivations were greatly reduced when visually guided saccades to single targets were studied. These observations suggest that motor execution to visible targets was relatively less affected by FEF lesions than that produced by recall from memory.
Similar effects were noted following FEF inactivations in a popout visual search task (McPeek 2004
; Schiller and Tehovnik 2003
). In addition, because there were multiple potential visual stimuli present on each trial (the odd target and distractors), these experiments produced an increased number of targeting deficits (saccades to distractor locations) when the target was located in the retinotopic region coded by the injection site. Saccadic endpoint control was more inaccurate when the movement was directed toward a target at or adjacent to the affected spatial location (McPeek 2004
). Again these deficits were milder when visually guided saccades to single targets were performed.
Comparison of the deficits produced by FEF inactivations in the traditional memory-guided task and our associative memory task
The most significant difference we report using our associative memory task is the strong dependence of the percent of choice errors produced on NA. Choice errors when multiple alternatives were present were not possible to study using the traditional memory-guided task, because only a single target location was stored in memory on each trial. In addition, we found that inaccuracy in saccadic endpoint (motor errors) did not vary with NA. Taken together, these differences in the dependence of deficits on NA suggest that two FEF mechanisms are involved in producing the results we observed. The first mechanism involves the formation of a saccadic intension vector from memory inputs and the second is the accurate execution of the saccade vector from the information present in the intension vector.
Only the first mechanism is heavily dependent on the number of choices present in associative memory. A second major difference in the two tasks is that in the traditional working memory paradigm the difficulty of the task is increased by lengthening the duration of the delay period over which the memory trace must be maintained. In the associative memory task there is no delay period—the monkey can make a saccade as soon as the color cue is revealed. Difficulty, at least for choice behavior, in this task is increased by increasing NA. Execution errors (motor errors) do not increase with NA.
Although we focus our explanation of the effects of the inactivations on role of the FEFs in the conversion from memory to intention, our results do not rule out an alternative role for the FEFs. The role of the FEFs in our task may instead be to aid in the suppression of incorrect, alternative-choice processes. Our previous neural recording study in FEF (Lee and Keller 2008
) provides some support for this alternative interpretation of these results. In the previous study, we showed that the postcue buildup of activity in visuomotor cells in FEFs was actually more rapid in the 4-NA condition than in the 2- or 1-NA condition. To account for this unexpected finding, we suggested that fixation activity in other cells in the FEFs was raised in the behaviorally more difficult 4-NA condition and that this increased level of fixation activity raised the effective neural threshold for generating a saccade.
Associative memory involves the learned association of a set of nonspatial sensory stimuli with spatially directed saccades, whereas the visuospatial working memory task involves a single visual stimulus and a saccadic eye movement, both of which have the same spatial coordinates. In both types of experiments, it seems unlikely that the object memory coding of color is located in the FEFs (Bichot et al. 1996
; Ferrera et al. 1999
). For the working memory task, at least major portions of the memory are located in the dorsolateral prefrontal cortex rostral to the FEFs (Sawaguchi and Iba 2001
). Associative memory is located in portions of inferior temporal cortex and the prefrontal cortex (see Wise and Murray 2000
for a review). Both these regions project to the FEFs (Leichnetz and Goldberg 1988
), possibly providing a pathway over which the nonspatial object information and/or association information is directed to the FEFs where the saccadic intention vector is formed. It seems unlikely that we affected the memory itself with our FEF inactivations. Rather, the effect is more likely to be produced at the level of memory projections to topographically arranged neural circuits in the FEFs where a saccadic intention vector could be formed from the nonspatially coded memory inputs. In this hypothesis, saccades to single visual targets would be executed by the remaining distributed nodes of the saccadic system even in the face of FEF lesions, but with less accuracy than that observed in controls. The lateral intraparietal area may be one of these nodes because inactivation lesions there do not produce deficits in target selection or traditional memory-guided saccades (Wardak et al. 2002
).
The postlesion data presented in Fig. 7C show that visually guided saccades to single targets and choice saccades in the 4-NA condition have equal motor error rates that are much larger than those observed for prelesion controls support this hypothesis. To arrive at this conclusion, it is important to remember that we first eliminated trials in which choice errors occurred before the rate of motor errors was computed. Saccadic execution, if directed to the correct quadrant, shows the same degree of saccadic dysmetria for the 4-NA task as for visually guided saccades to single targets.
Comparison of visual search tasks and the associative memory task
Popout visual search paradigms following FEF inactivations show similar problems in target selection and execution to those present in our FEF inactivations, but the results for visual search have not been quantified, so it is difficult to make comparisons across tasks (McPeek 2004
; Schiller and Tehovnik 2003
). The spatial extent (usually a whole hemifield) of both types of deficits in our inactivations was broader than that reported for visual-search tasks and memory-guided saccade tasks. We found no consistent difference in the percentage of choice errors between trials in which the target was located at either position in the affected hemifield, so we pooled data for the trials in which the target was in the hemifield contralateral or ipsilateral to the lesion site.
The lack of a differential effect of target direction within the contralateral field on the rate of choice errors may be caused by the diffusion of muscimol, although we used similar amounts of the drug and measured effects at similar postlesion times to those used in the study by Dias and Segraves (1999)
. The latter authors found more pronounced effects within a quadrant of the visual field but did see smaller effects within a whole hemifield. Alternatively, our more spatially distributed effects may be caused by the rapid change of directional preference as a function of penetration depth through the FEFs as shown in Bruce et al. (1985)
. These investigators reported directional differences as great as 90° in electrically evoked saccades with electrode advances in FEFs of only a couple of millimeters. A third explanation may be that the translation process from sensory discrimination to saccade intention is spatially much more widely distributed within FEF in the multiple choice task so that lesions of the same size produced a wider directional deficit for our choice task than they did for the working memory task in previous studies using muscimol lesions in the FEFs.
Saccade latency
We found no significant difference in saccade latency across NA conditions in the control data collected before the inactivations (Fig. 5C, bottom graph). This lack of effect of NA on saccadic reaction time in the control data in the two highly trained monkeys used in this experiment stands in contrast to our previous report of an increase in latency with NA in less well-trained monkeys (Thiem et al. 2008
). Saccade latency did increase following inactivations, particularly for contralateral movements, but this increase did not consistently depend on NA.
The lack of an increase in saccade latency as a function of NA found in our experimental animals is an apparent violation of Hick's Law (Hick 1952
). However, in Hick's work in human subjects, it is important to note that error rate was held constant across NA condition. With human subjects, it is relatively easy to achieve this with the proper instructions to the subjects, but it is more difficult to do in monkey subjects. In our two animals, the choice error rate increased as function of NA in the prelesion controls (see Fig. 5A). Thus we do not believe that our results refute Hick's Law.
Directional effects
We found an interesting directional pattern for the choice errors in the 4-NA condition following inactivations. The large majority of choice errors occurred when the central color cue was associated with a correct target located in the contralateral hemifield. Among the preponderance of total contralateral errors, we found that most were directed toward the visual stimulus located horizontally in the ipsilateral hemifield (H type errors) with respect to the correct target. Only a few were made to the visual stimulus located vertically in the same hemifield (V errors) or to the stimulus located diagonally opposite the target (O errors). We speculate that unilateral FEF inactivation weakens the networks in the FEFs receiving associative memory inputs for potential targets located in the contralateral hemifield that accounts for the contralateral preponderance of choice errors. The cause of the horizontal bias in contralateral choice errors is not so clear but may result from the fact that the potential target in the H position is closer in both physical space and color space to the correct target than the only other target in the ipsilateral field, the potential target at the O position.
Deficits following bilateral lesions
The deficits produced by unilateral inactivations in the FEFs in this study and in previous studies (Dias and Segraves 1999
; McPeek 2004
; Sawaguchi and Iba 2001
; Schiller and Tehovnik 2003
; Sommer and Tehovnik 1997
) may have been caused by an imbalance in the operation of the bilateral FEF and not by a specific deficit in the neural mechanisms underlying memory or target selection. The bilateral FEF are known to inhibit each other under selective conditions (Schlag et al. 1998
). Thus a lesion weakening one FEF may lead to the tonic inhibition of that FEF by the other that could prevent the cognitive processing required for memory-guided or target selection behavior to operate while sparing the more reflexively driven visually guided saccades.
To address this possibility, we also made, for the first time, simultaneous inactivations in both FEF. The results following bilateral lesions showed that approximately twice as many choice errors appeared in comparison to the results obtained for unilateral inactivations. We conclude that the FEF are involved in the generation of saccades from both working and associative memory. The approximate doubling of choice errors following bilateral FEF lesions in comparison to the unilateral lesions suggests that the effect of unilateral lesions is not to cause a general inhibition of the lesioned side, but instead involves specific FEF mechanisms concerned with the translation of memory into spatially directed action.
Comparison of Figs. 5B and 8B shows that the spatial pattern of choice errors shifts from a predominance of the H pattern for unilateral lesions to a predominance of the V type for bilateral lesions. When bilateral lesions are made, targets in neither hemifield are relatively disadvantaged as they are for unilateral lesions. This condition allows the closest target in physical space (V type errors) to predominate.
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GRANTS |
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FOOTNOTES |
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Address for reprint requests and other correspondence: E. L. Keller, Smith-Kettlewell Eye Research Inst., 2318 Fillmore St., San Francisco, CA 94563 (E-mail: elk{at}ski.org)
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