|
|
||||||||
J Neurophysiol (January 1, 2003). 10.1152/jn.00148.2002
Submitted on Submitted 1 March 2002; accepted in final form 8 September 2002
Laboratory of Neurobiology, Hokkaido University Graduate School of Medicine, N15W7, Sapporo 060-8638; and Core Research for Evolutional Science and Technology, Japan Science and Technology, Saitama 332-0012, Japan
| |
ABSTRACT |
|---|
|
|
|---|
Iba, Michiyo and Toshiyuki Sawaguchi. Involvement of the Dorsolateral Prefrontal Cortex of Monkeys in Visuospatial Target Selection. J. Neurophysiol. 89: 587-599, 2003. To examine the involvement of the dorsolateral prefrontal cortex (PFC) in visuospatial target selection, we induced local, reversible inactivation with muscimol at various sites in the dorsolateral PFC of two rhesus monkeys while they performed oculomotor visual search (OVS) and oculomotor detection (OD) tasks. The OVS task required the subject to select a target stimulus from among distractors and to make a saccade to the target location (target selection was required for correct performance), whereas the OD task only required a saccade to the target (target selection was not required for correct performance). The local injection of muscimol (5 µg, 1 µl) into the dorsolateral PFC induced a specific deficit in the OVS task but not in the OD task. The deficit in the OVS task was characterized by the disordering of saccades for some (mostly a few) particular target locations as well as by prolongation of the time required for the visual search in most cases. The target locations affected by muscimol were biased to the contralateral visual field. Further, the OVS task with "pop-out" and "non-pop-out" conditions was similarly impaired by muscimol injection. These results suggest that the dorsolateral PFC plays a role in target selection in visual space to guide goal-directed motor acts and particular sites are involved in target selection for a particular visuospatial coordinate. Further, this function of the dorsolateral PFC appears to involve both top-down (active) and bottom-up (passive) target-selection/selective attention processes to control interfering information (distractors).
| |
INTRODUCTION |
|---|
|
|
|---|
Visuospatial target selection, a
form of selective attention, is an important cognitive function that
allows us to select a relevant target from among distractors, e.g.,
selecting a familiar face in a crowd. A visual search paradigm has
frequently been used to assess this cognitive function in human
psychological studies including brain activation studies (Donner
et al. 2000
; for reviews, see Kinchla 1992
;
Treisman 1988
), lesion studies in monkeys (Latto
1978
; Schiller et al. 1987
), and single-neuron recording studies in the monkey frontal eye field (FEF) to test saccade
target selection (Schall and Hanes 1993
; Schall
et al. 1995
; for a review, see Schall and Thompson
1999
). These studies have demonstrated that the posterior
parietal cortex and FEF are responsible for the target selection.
Dorsolateral areas of the prefrontal cortex (PFC), rostral to the FEF,
might also be involved in target-selection/selective attention
processes. The dorsolateral PFC is well known to play a major role in
spatial working memory (for reviews, see Funahashi and Kubota
1994
; Goldman-Rakic 1995
), and this function has
been demonstrated to be associated with spatial selective attention in
human cognitive psychological studies (for a review, see Awh and
Jonides 2001
). Indeed, the involvement of the dorsolateral PFC
in the attentional mechanism has been extensively demonstrated in brain
imaging studies in humans; this area is activated during a shifting
attention task (Corbetta et al. 1993
), divided attention task (Corbetta et al. 1991
) and sustained attention task
(Coull et al. 1998
). Further, the dorsolateral PFC is
activated during the performance of the n-back task, in which the
subject must control temporally presented distractors and pick out the
target using working memory (Carlson et al. 1998
). These
findings support the hypothesis that the dorsolateral PFC plays a role
in the target-selection/selective attention process by which items are
picked out from among distractors. Indeed, Hasegawa et al.
(2000)
used a visual search paradigm in monkeys and
demonstrated that neurons in the dorsolateral PFC are involved in
target selection, and this was confirmed by our recent study at the
neuronal level (Iba and Sawaguchi 2002
). However, there
is still very little direct evidence that the PFC is involved in
visuospatial target selection, and the functional organization of the
PFC to represent this cognitive function is still almost completely unknown.
To address these problems, we combined an oculomotor visual search
(OVS) paradigm with local inactivation using muscimol in monkeys. The
OVS task employed in this study has some advantages: i.e., precise
control over the presentation of the visual stimulus in the visual
field, precise control over the subject's behavior and precise
measurement of behavioral parameters such as onset latency, velocity
and accuracy of the visual search (Chelazzi et al. 1993
,
1998
; Hasegawa et al. 2000
; Schall and
Hanes 1993
; Schall et al. 1995
). Reversible
inactivation with muscimol has been demonstrated to be useful for
examining normal functions of the frontal cortex of monkeys
(Dias and Segraves 1999
; Kurata and Hoffman
1994
; Sawaguchi and Iba 2001
; Sommer and
Tehovnik 1999
). In the present study, we found that the
injection of muscimol into the dorsolateral PFC produced a specific
deficit in the OVS task and the affected target location varied with
the injection site but was biased to the contralateral visual field.
Preliminary results have been presented in abstract form (Iba
and Sawaguchi 1998
, 2000
; Iba et al. 1998
).
| |
METHODS |
|---|
|
|
|---|
Subjects
Two rhesus monkeys (Macaca mulatta, male
"S", ~9 kg, and female "N", ~6 kg)
were used. Monkey S had been used for a few years in another
study with the oculomotor delayed-response task (Sawaguchi and
Iba 2001
) before starting the present study. The animals were treated in accordance with the "Guidelines for the Care and Use of
Laboratory Animals" of the National Institutes of Health (1985) and
the guidelines of our institute. Monkeys were housed in individual cages and supplied with food ad libitum. On training days, their water
intake was restricted, and they obtained water as a reward with task
performance. They received water ad libitum at least twice a week.
Behavioral procedures
Preliminary surgery was performed under pentobarbital anesthesia (~25mg/kg iv) and aseptic conditions. Two head-holding devices (hollow rods, 8 mm ID) were implanted on anterior and posterior portions of the skull using stainless-steel bolts (3 mm diam) with dental acrylic. To prevent infection, prophylactic antibiotics were injected intramuscularly on the day of surgery and daily for 7 days after surgery.
A few weeks after surgery, each monkey was trained to perform behavioral tasks. During task performance, the monkey sat on a primate chair with its head fixed in a dark room, facing a 21-in CRT monitor (PC-TV471, NEC) positioned ~32 cm from its eyes. The eye position (horizontal and vertical coordinates) was monitored by an infrared eye-camera system (R-21-C-A, RMS, Hirosaki, Japan). The monkeys were trained to perform an OVS task (Fig. 1A). In this task, while the monkey fixated on a central spot (white square, 0.2 × 0.2°) for 2 s, one target stimulus and seven distractors appeared at eight peripheral locations (0, 45, 90, 135, 180, 225, 270, and 315°; eccentricity 15°) as a stimulus array, and the fixation spot disappeared. When the monkey made a saccade to the target location (5° window) within a response period of 0.7 s, it obtained a drop of apple juice or water as a reward. When the first saccade during the response period did not fall within the prescribed window or when the monkey failed to respond within the allotted 0.7s, the response was defined as an error and was not rewarded. The target was usually a red cross ("original" target), and most of the data presented in RESULTS are based on this condition. However, in some sessions, we changed both the color and shape of the target; i.e., from a red cross to a green square ("reversed" target). As a "standard" condition, we used distractors that differed from the target only with regard to shape (i.e., red square for the original target but green cross for the reversed target, 1.5 × 1.5°) or color (i.e., green cross for the original target but red square for the reversed target). In addition, to examine the effect of target salience, we introduced a "conjunction" condition, in which two types of distractors, which differed from the target with regard to either shape or color (i.e., a red square and green cross), appeared in the mix. In the conjunction condition, we used only the red cross as a target. We used an OD task as a control task (Fig. 1A, bottom). The OD task was exactly the same as the OVS task except that only a target was presented as a stimulus. At the final stage of training sessions, the monkeys performed these tasks with a correct-response rate of close to 100%.
|
Injection of muscimol and experimental procedures
After training was completed, a stainless-steel cylinder (20 × 40 mm) was implanted under pentobarbital sodium anesthesia (~25 mg/kg iv) and aseptic conditions. An oval opening (~20 × 40 mm) was made in the skull with a trephine to expose the dura covering the frontal cortex, and the stainless-steel cylinder was positioned over the dorsolateral PFC with dental acrylic. Prophylactic antibiotics were injected intramuscularly on the day of surgery and daily for 7 days after surgery.
In each daily experimental session, muscimol hydrochloride
(RBI-Funakoshi, Tokyo, Japan), dissolved in physiological saline (5 mg/1 ml), was injected into the dorsolateral PFC. The dose of muscimol
was usually 1 µl (5 µg). Muscimol was administered with a 22-gauge
needle attached to a 5-µl syringe. The methods of injection were
similar to those in our previous study on the monkey PFC
(Sawaguchi and Iba 2001
). Briefly, the needle was
inserted into the dorsolateral PFC through the exposed dura and lowered to a depth of 3-4 mm from the surface of the dura. This positioning of
the needle was achieved with a micromanipulator attached to the
cylinder and a plastic grid with numerous holes (0.7 mm ID, 1.5 mm
apart). This method allowed us to precisely control the location of the
injection and its relocation in subsequent sessions. Furthermore, the
needle of the syringe was coated with polyurethane, and multiple
neuronal activities at the injection site were recorded using the tip
(resistance, 0.2-0.5 M
). Thus we were able to confirm that the tip
of the needle was located within the gray matter of the cortex.
Each experimental session began with six predrug blocks of OVS and OD
trials (Fig. 1B). Each block was associated with either the
OVS or OD task and lasted for 10 min. OVS blocks were offered twice as
often as OD blocks because we focused on the OVS task and no deficits
occurred for the OD task (see RESULTS). Testing was then
interrupted while muscimol was injected for 2-3 min. As in the predrug
trials, postdrug trials were segmented into blocks of OVS and OD trials
that lasted for 10 min, and again there were twice as many OVS blocks
as OD blocks. Postdrug trials lasted for
1.5 h. Only one injection
was made in each daily experimental session.
Data analysis
The effects of muscimol injection were assessed in two ways: by comparing pre- and postdrug performance and by comparing postdrug OVS trials to postdrug OD trials. We analyzed the following data: the two-dimensional trajectory of eye movement, the discrepancy between the endpoint of the first saccade and the target location, the onset latency, and the search time. The onset latency was defined as the time from the appearance of the stimulus to the beginning of the saccadic eye movement, and the search time was defined as the time from the appearance of the stimulus array to the end of the search during the response period. Each parametric measurement (discrepancy, onset latency, and search time) in the predrug trials was pooled as a control for comparison with the measurement in each postdrug block. However, because the effect of muscimol usually peaked at ~40-60 min after injection (see RESULTS), generally only the data from 30 to 60 min after muscimol injection (i.e., "postdrug" period) are given in RESULTS, and Mann-Whitney's U test was used for this analysis. Further, because no significant differences in the behavioral parameters were observed between the shape and color conditions in the standard OVS task during the predrug period (for a typical experimental session, onset latency: 159 ± 39 ms for shape and 154 ± 24 ms for color; discrepancy: 3.6 ± 4.3° for shape and 3.6 ± 4.6° for color; search time: 204 ± 42 ms for shape and 198 ± 24 ms for color), we pooled these data to reflect the "standard" condition in all analyses except the brief analysis to examine possible difference in the effect of muscimol injection between these two conditions (see Independence of target physical properties).
ICMS and histology
To make injections in the dorsolateral PFC outside the FEF, we
applied intracortical microstimulation (ICMS, a train of 22 cathodal
pulses of 300 µs duration at 333 Hz,
100 µA) at several sites in
the lateral frontal cortex before the experimental session while the
monkey was fixating on the fixation point. When saccadic eye movement
was induced by ICMS, the sites were considered to be in the FEF
(Bruce and Goldberg 1985
; Bruce et al.
1985
). We did not inject muscimol into the FEF, and all
injection sites were outside the FEF (see Fig.
2).
|
After the experiments were completed, the monkeys were deeply anesthetized with an overdose of pentobarbital sodium and perfused with physiological saline followed by formalin. After the brain was removed, it was photographed and the injection sites were reconstructed based on the coordinates of the grid used for injection. Figure 2 shows the injection sites on the surface of the left and right hemispheres of monkey N and the left hemisphere of monkey S. The injection sites were scattered throughout the periarcuate region and the caudal half of the periprincipal sulcal region; i.e., areas 8, 9, and 46 (mainly area 46). Because all of the injections were made at a depth of 3-4 mm from the surface of the dura, they were distributed in the cortex outside the sulcus.
| |
RESULTS |
|---|
|
|
|---|
General
During performance of the OD and "standard" OVS tasks (with the "original" target), muscimol (5 µg/µl, 1 µl) was injected into a total of 157 sites in the dorsolateral PFC of the two monkeys (both hemispheres for monkey N and the left hemisphere for monkey S). Of these 157 sites, muscimol induced a specific deficit in the standard OVS task, but not in the OD task, at a total of 77 sites; the remaining sites were not associated with any significant effects in either the OVS or OD task (Fig. 2). For each effective site, the error was characterized by the disordering of eye traces for some (mostly a few) particular target locations and by an increase in the discrepancy. Further, in most cases, these errors were accompanied by a significant prolongation of the search time of saccades. In some cases (n = 10), saline was injected into approximately the same sites as the effective injection sites with muscimol in different daily sessions. Saline did not have any significant effect on either the OVS or OD task at any of the injection sites. Because the standard OVS task with color- and shape-submodalities was similarly impaired by muscimol (see following text), data for these subconditions were mostly pooled for analysis.
Effects of muscimol on the OVS and OD tasks
Figure 3 shows an example of
the effect of muscimol injection on the standard OVS task and
illustrates eye traces (horizontal and vertical components),
two-dimensional trajectories of the saccade for each of eight target
locations, separately for the pre- and postdrug periods. In this case,
muscimol was injected into the right PFC (Fig. 3, inset). As
shown in Fig. 3, OVS task performance was impaired by muscimol
injection, and this impairment was mainly restricted to the upper-left
(135°) and upper (90°) target locations: most evident for 135°.
Significant numbers of saccades to these locations were disordered
after muscimol injection, whereas only a few saccades to other
directions were affected. The frequency of errors in postdrug trials
was highest for the 135° direction (12/28, 43%) then the 90°
direction (9/24, 38%); both values were significantly higher (0/28 for
135° and 0/26 for 90°) than those in predrug trials (Fisher's
test,
2 = 12.83, df = 1, P < 0.001 for 135°;
2 = 9.49, P < 0.001 for 90°). The error frequency for
other directions in the postdrug trials was much less and not
significant compared with that in the predrug trials: 4% (1/26 vs.
0/31;
2 = 0.008, P =
0.46, NS) for 0°, 9% (2/22 vs. 0/28;
2 = 0.81, P = 0.19, NS) for 45°, 0% (0/21 vs.
0/28; NS) for 180°, 0% (0/27 vs. 0/32; NS) for 225°, 5% (1/19 vs.
0/28;
2 = 0.039, P
= 0.40, NS) for 270°, and 5% (1/21 vs. 0/27;
2 = 0.016, P = 0.44, NS)
for 315°. Figure 4 shows the data for the OD task during the same experimental session as in Fig. 3. As
shown, muscimol induced no deficits in the OD task; eye movements were
normal after injection for all target locations including the
upper-left and upper target directions. The impairments in the OVS task
were also characterized by changes in quantitative measurements of
saccades (Table 1). Discrepancies were
significantly increased for both the 135 and 90° directions in the
OVS task, and the search time also significantly prolonged for these
directions. No significant differences were found between pre- and
postdrug for the onset latency of the OVS task. Any measurements for
the OD task did not significantly change after the injection. The time
course of changes in discrepancy is shown in Fig.
5A (for the 135° location).
In this figure, to examine overall changes in discrepancy, correct and
error trials were pooled. As shown, the increase in discrepancy in the
OVS task began within 20 min after injection and reached a peak at
~60 min after injection. This increase persisted during the postdrug
period. No significant changes in discrepancy were seen in the OD task
throughout this experimental session.
|
|
|
|
To examine whether these changes in saccade parameters in the OVS task
were due to a deficit in eye movement itself, we examined eye velocity.
In Fig. 5B, the mean velocity of the first saccade for the
most impaired direction (135°) in the OVS task is plotted against its
amplitude for predrug trials (*), postdrug correct trials (
) and
postdrug error trials (
). As shown, the velocity in the OVS task was
similar among these trials.
To further examine the nature of the deficit, the endpoint of the saccade was examined, and the data are shown in Fig. 6. In Fig. 6, data for predrug trials, postdrug correct trials, and postdrug error trials for the most strongly impaired target location (135°) are shown separately. As shown in Fig. 6A, the endpoints of the first saccade during the predrug period fell within the allotted 5° window (discrepancy, mean ± SD, 1.5 ± 1.2°, n = 30). In the postdrug period, the first saccades in correct trials were directed toward the target as in the predrug trials (1.8 ± 1.4°, n = 16; Fig. 6B), whereas those in error trials were always misdirected (28.2 ± 6.9°, n = 12; Fig. 6C). These misdirected saccades appeared to be directed toward distractors rather than to random locations. In most error trials (n = 10), additional second saccades were observed during the response period (see Fig. 3), and we plotted the endpoint of the second saccade during the response period for these trials (Fig. 6D). As shown, endpoint of these second saccades in the error trials frequently fell around the target location (n = 8), although they were less accurate (4.8 ± 3.8°).
|
Thus the deficit in the OVS task was characterized by disorder of the first saccades for a few particular target locations, which appeared to be directed toward distractors and were associated with a prolongation of the search time.
Summary of deficits
Muscimol injection produced similar effects for all of the other effective sites (n = 77). Only a couple of target locations were impaired in most cases (1 direction, n = 10; 2 directions, n = 48), although some sites were associated with three (n = 18) or four (n = 1) target directions. When more than one target location was impaired, the affected location was always nearby, as shown in the example in the preceding text. For all of these effective sites, we calculated the percent changes, compared with predrug trials, in discrepancy (of the 1st saccade) and search time for the most impaired direction. The discrepancy was significantly increased for all of the effective sites (n = 77, mean ± SD, 300 ± 137%). The search time was also significantly increased for most sites (n = 59, 124 ± 18%), although the onset latency did not change for the most sites (n = 58, 108 ± 9%).
Bias of the impaired direction to the contralateral visual field
The target location affected by muscimol in the OVS task was
biased to the visual field contralateral to the injection sites. Figure
7 shows the relationship between the
injection site and the impaired target direction in the OVS task for
selected sites. As shown, injection into the left hemisphere usually
induced disordering of eye movement in the right visual field (Fig. 7,
A and C), and injection into the right hemisphere
was usually associated with impairment of the left visual field (Fig.
7B). Some sites were associated with vertical (up or down)
target locations. To examine the distribution of the impaired direction
statistically, we calculated the target location with the most
prominent impairment. The impaired direction was not distributed evenly
across the eight directions (right, n = 4; upper-right,
n = 8; upper, n = 17; upper-left, n = 20; left, n = 12; lower-left,
n = 4; lower, n = 9; lower-right, n = 3; 1-sample
2 test,
2 = 28.9, df = 7, P < 0.01), and these were biased to the visual field contralateral to the
injection site (contralateral, n = 36 vs. ipsilateral,
n = 15; 1-sample
2 test,
2 = 5.14, df = 1, P < 0.05). Impairment in the vertical direction, and particularly the upper
direction, was also frequently found.
|
To examine the relationship between the injection sites and impaired
directions in detail, we plotted the most impaired direction for each
site on the surface of the PFC (Fig. 8).
For monkey N, there appears to be a gross topographical
relationship between them with presumable horizontal and vertical
meridians, although it was not so clear-cut. For monkey S,
which had been used for a few years in our previous study to reveal the
"memory-map" with the oculomotor delayed-response paradigm
(Sawaguchi and Iba 2001
), there was not such a clear
relationship.
|
Effect of a higher dose of muscimol
In some cases (n = 5), we injected a higher dose of muscimol (10 µg, 2 µl) near the same site that was examined with a "standard" dose (5 µg, 1 µl) in a different daily session. Figure 9 shows an example of the data. In this case, injection of a standard dose of muscimol into the left hemisphere of monkey N (Fig. 9, inset) induced a deficit for the right direction (0°). The saccades toward this target were disordered (Fig. 9A), and the discrepancy was significantly increased (1.8 ± 0.7°, n = 43, predrug; 5.6 ± 5.1°, n = 36, postdrug, P < 0.01). Saccades to other directions were not affected with a standard dose of muscimol. When a higher dose of muscimol was injected into approximately the same site in a different daily session, impairment was seen for both the same right location and additional nearby target locations (Fig. 9B). The discrepancy was significantly increased in the right (0°) direction (2.3 ± 0.7°, n = 26, predrug; 5.4 ± 4.4°, n = 26, postdrug, P < 0.01), the upper-right (45°) direction (1.7 ± 0.6, n = 19, predrug; 10.9 ± 12.3°, n = 28, postdrug, P < 0.01), and the upper (90°) direction (0.9 ± 0.7°, n = 23 predrug; 14.0 ± 13.4°, n = 26 postdrug, P < 0.01). Similar results were observed at four of the five injection sites examined (Table 2); i.e., a higher dose of muscimol usually induced deficits in saccades to the target location affected by the standard dose as well as additional surrounding/nearby target locations.
|
|
Independence of target physical properties
To examine whether the deficits depended on the physical properties of the target, we changed both the shape and color of the target in some sessions (n = 15), i.e., from a cross to a square. Exactly the same results as with the original target were obtained with this "reversed" target, and Fig. 10 shows typical data. In this case, muscimol was injected into the right hemisphere of monkey N (inset) and the eye traces toward the upper-left target location (i.e., 135°) were disordered with regard to both shape and color conditions for the original target (Fig. 10A). When the target was changed to a square, a similar distortion of eye traces was observed (Fig. 10B). The parameters of saccadic eye movements for this target location also showed similar changes with the original and reversed targets (Table 3); both discrepancy and search time were significantly increased after muscimol injection for all of these conditions. Thus the deficits in the OVS task appeared to be independent of the physical properties of the target/distractors.
|
|
Effects of "pop-out" and "non-pop-out"
To investigate target salience, i.e., so-called "pop-out", we introduced a "conjunction" condition (Fig. 1A) in addition to the standard condition (see METHODS). The standard condition was considered the pop-out condition and the conjunction condition was considered the non-pop-out condition. Before the examination of muscimol injection, we examined the onset latency of saccadic eye movement from the appearance of the stimulus array and found that it was significantly longer for the conjunction condition than for the standard condition for each subject (Table 4).
|
Of the total of 157 sites for which both standard and conjunction conditions were examined, muscimol injection induced significant effects at 77 sites. Although a few sites (5/77, 6%) were associated with deficits only in the conjunction OVS task, muscimol generally induced deficits for both the standard and conjunction conditions (72/77 sites, 94%), and the affected target location was always the same in these conditions. An example is shown in Fig. 11, which shows two-dimensional trajectories of eye movements to the affected target location. As shown, eye trajectories were largely disordered for both the standard (Fig. 11A, left) and conjunction (Fig. 11A, right) conditions of the OVS task.
|
The quantitative data for discrepancy and search time before and after muscimol injection in the preceding case are shown in Fig. 11B. The discrepancies for the OD task and the OVS task with each condition for the affected target location (90°) in the OVS task are illustrated separately for the predrug and postdrug periods. As shown, the discrepancy was significantly increased for both the standard (predrug, 2.1 ± 1.5°, n = 28; postdrug, 10.0 ± 12.8°, n = 37) and conjunction (predrug, 1.5 ± 0.8°, n = 13; postdrug, 9.7 ± 12.5°, n = 25) conditions (U test, P < 0.01 for each), and the increased discrepancy was not significantly different between these conditions (P > 0.05, NS). In contrast to the OVS task, discrepancy in the OD task did not change after injection (predrug, 2.3 ± 3.2°; postdrug, 2.2 ± 3.8°; P > 0.05, NS). Thus the local injection of muscimol affected both the standard and conjunction conditions to a similar degree. Indeed, for effective sites with deficits in both conditions (n = 72), the percent increase in discrepancy for the conjunction OVS task (for the most impaired direction) was significantly and positively correlated with that for the standard OVS task (r = 0.80, t = 11.1, df =70, P < 0.001), as shown in Fig. 12.
|
| |
DISCUSSION |
|---|
|
|
|---|
In the present study, we demonstrated that the local injection of muscimol into the dorsolateral PFC induced specific deficits in the OVS task but not in the OD task. The impaired target directions were biased to the visual field contralateral to the injection sites. Furthermore, the OVS deficit was not associated with target salience: i.e., both the standard (pop-out) and conjunction (non-pop-out) conditions were similarly affected by muscimol injection. These findings suggest that the dorsolateral PFC is involved in target selection with pop-out and non-pop-out conditions.
Involvement of the PFC in target selection/selective attention
The local injection of muscimol induced a disturbance of saccadic eye movement for some (mostly a few) particular target locations in the OVS task; i.e., the subject frequently made a misdirected first saccade, which appeared to be directed toward a nontarget stimulus (i.e., distractor) rather than the target, and the discrepancy between the endpoint of the first saccade and the target location was significantly increased. The frequency of errors was also significantly increased after injection for some particular target locations, which were characterized by the misdirection of first saccade rather than under- or overshoot toward the correct target location (see Fig. 6C). Accompanying this impairment, search time was significantly prolonged in most cases. In contrast to the OVS task, performance in the OD task, in which only the target appeared, was not affected at all, indicating that the deficits in the OVS task do not involve impairments in simple perception or saccade-generation/control mechanisms. While the OVS task requires selection of the relevant target among distractors, the OD task does not. Indeed, the onset latency of saccadic eye movements was significantly longer for the OVS task than the OD task. Therefore the OVS deficit is likely to be associated with a target-selection process by which the target is picked out from among distractors.
The deficits in the OVS task appeared to be independent of the
physical properties of the target and/or distractors; every color- and
shape- "original" and color- and shape-"reversed" condition was
impaired; this also supports the notion that the OVS deficit was
associated with target selection rather than simple visual perception
of the stimulus array/target. Further, the subject often made
additional second saccades in postdrug error trials, and their
endpoints sometimes fell around the target, indicating that the subject
sometimes could find the target after shifting its gaze. Therefore it
is unlikely that the subject forgot the target itself. Impaired memory
regarding the target features can be excluded as a possible cause of
the deficit in the OVS task; again, the results suggest that the OVS
deficit is associated with target selection. Furthermore, this finding
regarding the additional second saccade is consistent with the finding
that misdirected first saccades in the postdrug error trials were
mostly limited to a few specific target locations; also suggests that the deficits in the OVS task are associated with relative
(retinotopic), rather than absolute (craniotopic), spatial coordinates.
A similar nature of relative coordination has been observed in deficits in memory-guided saccades induced by the local injection of muscimol into the dorsolateral PFC of monkeys (Sawaguchi and Iba
1998
). In addition, the target location affected was biased to
the contralateral visual field. Similar bias has also been demonstrated
at the deficits in memory-guided saccade in previous study with
muscimol injection (Sawaguchi and Iba 2001
) or focal
lesions (Funahashi et al. 1993
).
As has been demonstrated previously, local injections of muscimol
induced inactivation of the injected site in the frontal cortex of
monkeys (Dias and Segraves 1999
; Kurata and
Hoffman 1994
; Sawaguchi and Iba 2001
;
Sommer and Tehovnik 1999
). Because the intracerebral
injection of a few microliters of muscimol suppresses the activity of
neurons within a few millimeters of the injection site for several
hours (cf. Kurata and Hoffman 1994
; Martin
1991
), the present method is useful for mapping the normal
function of a small region of the cerebral cortex. One microliter of
solution injected into cerebral tissue has been demonstrated to spread ~1 mm in diameter (Myers 1966
). Furthermore, the
effect of muscimol was dose-dependent; a higher dose of muscimol (10 µg, 2 µl) had a larger effect. We assume that this was due to the
greater spread of muscimol because additional nearby target locations
were usually impaired by the high dose. In addition, although the error
frequency for some particular target locations in the OVS task was
significantly higher in postdrug period than in the predrug period, the
subject sometimes made correct responses for those locations in
postdrug trials. This would be due to the fact that only 1 µl of
solution was usually injected and neuronal activity within a limited
region was suppressed to affect the behavioral response. The small
amount of solution would also contribute to the spatial limitation of affected target locations in each injection; neuronal activity within a
limited, particular region of the dorsolateral PFC should be
responsible for correct saccades toward some particular target locations in the OVS task.
Thus the present findings indicate that local inactivation at a
particular site in the dorsolateral PFC makes it difficult for the
subject to find/select the target in some (mostly a few) particular
locations among distractors, mainly for the contralateral visual field,
and this deficit was not due to impairment of the saccade-generation/control mechanism itself or of simple
perception/memory for the target. A specific site in the dorsolateral
PFC is likely to be involved in target selection for a particular
visuospatial, probably retinotopic, coordinate. As is well known, the
dorsolateral PFC is involved in working memory tasks like n-back tasks,
which require the subject to pick out items from short-term memory; i.e., internal world (Carlson et al. 1998
; Cohen
et al. 1997
). The present study suggests that the dorsolateral
PFC is involved in the process by which items are picked out from
distractors, which are present in the external world. Therefore it is
likely that the dorsolateral PFC is involved in the selection of items from both the internal and external worlds.
The visual search paradigm used in this study required the subjects to
select a target from among distractors, and some attentional mechanisms
should be involved in this process. Indeed, the visual search paradigm
is known to be suitable for assessing visual selective attention (for
reviews, see Egeth and Yantis 1997
; Treisman
1988
). Further, previous human brain-imaging studies have
demonstrated that the PFC is involved in attentional mechanisms
(Corbetta et al. 1991
, 1993
; Coull et al.
1998
). In addition, the dorsolateral PFC plays a major role in
spatial working memory (for reviews, see Funahashi and Kubota
1994
; Goldman-Rakic 1995
), and this cognitive function has been demonstrated to be associated with spatial selective attention (Awh et al. 2000
; for a review, see Awh
and Jonides 2001
). The present findings are consistent with
these previous findings, suggesting that the dorsolateral PFC is
involved in visuospatial selective attention, and "attentional
scotoma" mainly for the contralateral visual field might occur
following local inactivation in the dorsolateral PFC. However, because
we did not change the number of distractors or use a large variety of target/distractors, further studies are required to clarify this problem.
Contribution of the PFC to "passive" and "active" target selection
The injection of muscimol induced deficits in both the
"standard" and "conjunction" conditions, which are considered
pop-out and non-pop-out conditions (Hikosaka et al.
1993
; Treisman and Gelade 1980
), or efficient
(effortless) and inefficient (effortful) search (Leonards et al.
2000
; Schall and Thompson 1999
), respectively. The characteristic degree of OVS deficits was similar for almost all of
the cases for which both conditions were examined. Pop-out is
considered to be a feature search for space and/or object, whereas
non-pop-out is considered to be a conjunction search for feature
integration (Treisman and Gelade 1980
). Further, the
pop-out condition has been suggested to be controlled by a bottom-up
("passive")-driven attention system, whereas the non-pop-out
condition is controlled by a top-down ("active")-driven attention
system (Hikosaka et al. 1993
). Therefore the
dorsolateral PFC may be involved in both bottom-up (passive)- and
top-down (active)-driven target-selection systems; this area may play a
role in specifying the target by controlling various interfering
information to enable an appropriate goal-directed behavior in a given situation.
Target-selection networks and the role of the dorsolateral PFC
The dorsolateral PFC appears to be involved in both active
and passive target-selection processes as described in the preceding text, and we suggest that this area is involved in selective attention processes associated with target selection. However, we do not conclude
that this is the only area that is important for target selection/selective attention. Previous studies have demonstrated that
the posterior parietal cortex (Bushnell et al. 1981
;
Corbetta et al. 1991
, 1993
, 1995
; Steinmetz et
al. 1994
) and frontal eye field (FEF) (Donner et al.
2000
; Schall et al. 1995
) are also involved in
target selection. To attend to a relevant visual stimulus in clutter,
cortical networks may be activated to perceive the stimulus and act as
accordingly. The dorsolateral PFC has strong neuronal connections with
the posterior parietal cortex (Petrides and Pandya 1984
)
and FEF (Arikuni et al. 1988
; Watanabe-Sawaguchi et al. 1991
). The dorsolateral PFC may work together with these other brain regions during target-selection processes: i.e., these areas may form target-selection networks/systems to work together.
However, the dorsolateral PFC appears to have a unique position because
it has been suggested that this area is hierarchically the highest
among neocortical areas (Felleman and Van Essen 1991
) and links sensory input with motor output (Fuster 1998
).
Therefore it is likely that the dorsolateral PFC links target-selection processes with motor output/execution and thus plays a role in guiding
goal-directed behavior (i.e., a role of motor-programming/planning) by
using target-selection processes; i.e., by controlling various interference information.
| |
ACKNOWLEDGMENTS |
|---|
This research was supported by a Research Fellowship from the Japan Society for the Promotion of Science for Young Scientists (H10-DC1-2687) and by the Corporation Research Program of the Primate Research Institute, Kyoto University to M. Iba and by Grants-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Science, Sports and Culture (08279105, 11170203) to T. Sawaguchi.
| |
FOOTNOTES |
|---|
Address for reprint requests: T. Sawaguchi, Laboratory of Neurobiology, Hokkaido University Graduate School of Medicine, N15W7, Kita-ku, Sapporo 060-8638, Japan (E-mail: toshi-sw{at}med.hokudai.ac.jp).
| |
REFERENCES |
|---|
|
|
|---|
an fMRI study.
J Cogn Neurosci
12 Suppl 2:
61-75, 2000[Web of Science][Medline].This article has been cited by other articles:
![]() |
J. Tanji and E. Hoshi Role of the Lateral Prefrontal Cortex in Executive Behavioral Control Physiol Rev, January 1, 2008; 88(1): 37 - 57. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. F. Rossi, N. P. Bichot, R. Desimone, and L. G. Ungerleider Top Down Attentional Deficits in Macaques with Lesions of Lateral Prefrontal Cortex J. Neurosci., October 17, 2007; 27(42): 11306 - 11314. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Gazzaley, J. Rissman, J. Cooney, A. Rutman, T. Seibert, W. Clapp, and M. D'Esposito Functional Interactions between Prefrontal and Visual Association Cortex Contribute to Top-Down Modulation of Visual Processing Cereb Cortex, September 1, 2007; 17(suppl_1): i125 - i135. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Kuboshima-Amemori and T. Sawaguchi Plasticity of the Primate Prefrontal Cortex Neuroscientist, June 1, 2007; 13(3): 229 - 240. [Abstract] [PDF] |
||||
![]() |
Y. Sakurai and S. Takahashi Dynamic Synchrony of Firing in the Monkey Prefrontal Cortex during Working-Memory Tasks J. Neurosci., October 4, 2006; 26(40): 10141 - 10153. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. A. Berlin, E. T. Rolls, and U. Kischka Impulsivity, time perception, emotion and reinforcement sensitivity in patients with orbitofrontal cortex lesions Brain, May 1, 2004; 127(5): 1108 - 1126. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Fukushima, I. Hasegawa, and Y. Miyashita Prefrontal Neuronal Activity Encodes Spatial Target Representations Sequentially Updated After Nonspatial Target-Shift Cues J Neurophysiol, March 1, 2004; 91(3): 1367 - 1380. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |