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The Journal of Neuroscience, August 1, 2002, 22(15):6756-6765
A Double Dissociation within Striatum between Serial Reaction
Time and Radial Maze Delayed Nonmatching Performance in Rats
Robert G.
Mair,
Jennifer K.
Koch,
Julie B.
Newman,
James R.
Howard, and
Joshua A.
Burk
Department of Psychology, University of New Hampshire, Durham, New
Hampshire 03824
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ABSTRACT |
Lesions involving the intralaminar thalamic nuclei have been
associated with impairments in working memory and intentional motor
function in human clinical cases and animal models of amnesia. The
intralaminar nuclei have afferent and efferent connections related to
striatum. To test whether disruption of striatal function can account
for impairments produced by intralaminar lesions, we investigated the
effects of striatal lesions on two tasks known to be impaired by
intralaminar damage in the rat: radial maze delayed nonmatching (DNM),
a measure of spatial working memory, and self-paced serial reaction
time (SRT), a measure of intentional response speed. We compared the
effects of lesions in four sites: the medial and lateral caudate
putamen, nucleus accumbens, and olfactory tubercle. We found that
lesions of the medial, accumbens, or tubercle sites impaired DNM
performance, and that lesions of the lateral caudate putamen increased
choice response time for the SRT task. There was a double dissociation
between the effects of the ventral and the lateral lesions on these two
tasks. For both tasks, the effects of striatal lesions were
qualitatively similar and at least as large as intralaminar lesions in
previous studies. These results provide evidence that striatal
dysfunction can account for the DNM and SRT impairments produced by
intralaminar lesions. The dissociation of functional impairments
suggests that lateral sensorimotor areas of caudate putamen are
important for responding based on external sensory stimuli and
limbic-related areas in ventral striatum are important for responding
based on information held in working memory.
Key words:
caudate putamen; ventral striatum; serial reaction time; spatial working memory; response speed; amnesia
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INTRODUCTION |
Lesions of the intralaminar thalamic
nuclei have been associated with signs of amnesia and slow intentional
responding in human clinical cases (Von Cramon et al., 1985 ; Squire et
al., 1989 ; Mennemeier et al., 1992 , 1997 ; Van der Werf et al., 1999 , 2000 ; Exner et al., 2001 ). Intralaminar lesions in rats have been shown
to impair measures of working memory, including radial maze delayed
nonmatching (DNM) and intentional response speed, including self-paced
serial reaction time (SRT) (Mair et al., 1998 ; Burk and Mair, 2001b ).
The intralaminar nuclei provide the main thalamic input to the caudate
putamen (Berendse and Groenewegen, 1990 ; Steriade et al., 1997 ) and
receive inputs from ventral striatum through pallidothalamic and
nigrothalamic projections (Groenewegen et al., 1999a ,b ). To test
whether striatal impairment can account for deficits produced by
intralaminar lesions, we compared the effects of lesions in different
parts of the striatum on DNM and SRT performance.
In rats, the striatum can be divided into regions based on
corticostriatal projections (Berendse et al., 1992 ; Haber and
McFarland, 1999 ) and dissociable effects of lesions on behavior.
Lesions of the caudate putamen have been found to impair
stimulus-response (S-R) learning and responding based on egocentric or
vestibular information (Potegal, 1982 ; Packard et al., 1989 , 1996 ;
Kesner et al., 1993 ; McDonald and White, 1993 ; McGaugh, 1996 ) and to increase response times for well trained S-R tasks (Brasted et al.,
1998 , 1999 ; Rogers et al., 2001 ). Other results suggest that lateral
sensorimotor-related areas of caudate putamen affect processes distinct
from medial areas innervated by the cingulate and prelimbic cortex,
with medial lesions affecting acquisition or more cognitive aspects of
responding (Brown and Robbins, 1989 ; Pisa and Cyr, 1990 ; Cromwell and
Berridge, 1996 ; Devan and White, 1999 ; DeCoteau and Kesner, 2000 ). The
ventral striatum receives inputs from the hippocampus, entorhinal
cortex, basal amygdaloid complex, and limbic-related areas of
prefrontal cortex (Groenewegen et al., 1999a ,b ). Ventral areas of the
striatum are thought to be involved in reward mechanisms (Robbins and
Everitt, 1996 ; Kalivas et al., 1999 ; Kelley, 1999 ). They have also been
implicated in amnesia by clinical studies (Phillips et al., 1987 ; Abe
et al., 1998 ; Goldenberg et al., 1999 ) and in spatial working memory by
experimental studies (Floresco et al., 1997 , 1999 ; Smith-Roe et al.,
1999 ; Burk and Mair, 2001a ; Kalivas et al., 2001 ; Roullet et al.,
2001 ).
Radial maze DNM is a measure of spatial working memory or the ability
to respond based on information that must be remembered from one trial
to the next. It has been found to be affected by lesions of either the
hippocampus or prefrontal cortex as well as the intralaminar nuclei
(Porter et al., 1997 , 2000 ; Mair et al., 1998 ), and thus, we expected
it to be affected by lesions of the ventral striatum. The SRT task
measures the speed and accuracy of a well trained S-R discrimination
that does not require working memory. It has been found to be affected
by prefrontal and intralaminar lesions, but not by hippocampal lesions
(Burk and Mair, 2001b ); thus, we expected it to be impaired by caudate
putamen lesions.
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MATERIALS AND METHODS |
Subjects. Subjects were 100 male Long-Evans rats
(Charles River, Wilmington, MA) that were caged singly on a 12 hr
light/dark cycle with training occurring during the light cycle. Access
to water was restricted to training sessions and 30 min of free access at the end of the light phase each day (60 min on days when they were
not trained). Fifty rats were assigned to DNM and 50 to SRT training.
At the end of presurgical training, rats were rank ordered based on
their percentage correct over the last three sessions and divided into
blocks of five based on that ranking. One animal from each of the
blocks was randomly assigned to each of the five surgical treatments:
control, medial caudate putamen, lateral caudate putamen, accumbens,
and tubercle lesions. This matching procedure was used to ensure
initial equivalence with random assignment of rats to groups. Because a
few animals failed to reach presurgical performance criteria in a
timely manner, only nine blocks of five were available for each of the
training groups. Thus, there were nine rats assigned to each treatment
for each task.
Rats were 2 months old at the beginning of presurgical training. Those
in the DNM group were 5-5.5 months old at the start of surgery, 5.5-6
months old at the start of postsurgical training, and 7-7.5 months old
at the end of postsurgical training. Rats in the SRT group were 3-3.5
months old at the start of surgery, 3.5-4 months old at the start of
postsurgical training, and 7-7.5 months old at the end of postsurgical
training. On the day of surgery, rats in the DNM group averaged
416.6 ± 5.9 gm (SEM); rats in the SRT group averaged 395.9 ± 6.1 gm (SEM).
Surgery. The surgical procedures were based on the findings
of Burk and Mair (2001a) . The results of this study showed significant effects of medial, accumbens, and tubercle lesions on delayed matching
(DM) trained with retractable levers. The effects of the tubercle
lesion were significantly greater than any other lesion; however, the
extent of tissue damage produced by this treatment was also greater. We
used procedures identical to Burk and Mair (2001a) to produce tubercle
lesions. The procedures for the medial, lateral, and accumbens lesions
were similar to this previous study, except that the number of
injection sites was increased to produce damage more equivalent to the
tubercle lesions. Rats were anesthetized (85 mg/kg ketamine and 8.5 mg/kg xylazine, i.m.) and placed in a stereotaxic instrument, and the
skull was opened with aseptic procedures. Lesions were made by infusing 0.1 µl of a 150 mM NMDA solution through a 26 gauge cannula at 0.2 µl/m into a series of sites using a Kopf 5000 microinjection unit (Tujunga, CA). Stereotaxic coordinates were
measured in millimeters relative to bregma. For lateral caudate putamen
lesions, infusions were made at three dorsoventral (DV) levels ( 4.4,
5.4, 6.4) at anteroposterior (AP) +1.7, mediolateral (ML)
±3; AP +1, ML ±3.6; AP +0.3, ML ±4; and AP 0.4, ML ±4.4 (12 sites/hemisphere). For medial caudate putamen lesions, infusions were
made at three DV levels ( 3.8, 4.8, and 5.8) at AP +1.7, ML ±2;
AP +1, ML ±2.2; AP +0.3, ML ±2.4; and AP 0.4, ML ±2.6 (12 sites/hemisphere). For accumbens lesions, infusions were made at AP
+2.7, ML ±1 and ±2, DV 6.6 and 7.2; AP +1.7, ML ±1 and ±2, DV
6.6 and 7.4; AP +0.7, ML ±1.4, DV 6.8 and 7.6; and AP +0.7, ML
±2.4, DV 7.4 and 8 (12 sites/hemisphere). For the olfactory tubercle
lesion, infusions were made at AP +2.7, ML ±1.5, DV 8.2; AP +1.7, ML ±1.2 and ±2.4, DV 8.6; AP +0.7, ML ±1.5 and ±2.5, DV 9; and AP
0.3, ML ±2.4 and ±3.4, DV 9 (seven sites/hemisphere).
All rats were placed on ad libitum food and water
immediately after recovery from anesthesia. Water restrictions were
re-established after 10 d of recovery, and postsurgical training
began after ~2 weeks of postsurgical recovery. Rats were weighed at
least once a week throughout the experiment.
Radial maze DNM. DNM was trained using eight arm radial
mazes, and procedures have been described previously (Mair et al., 1998 ; Porter et al., 2000 ). Mazes were remotely controlled by computer
and equipped with motorized gates to control access to and egress from
arms. There were wells milled into the floors at the ends of arms in
which tap water (0.1 ml) was delivered as a reinforcer and photocells
to detect arm entries and responses to the wells. Rats were trained to
perform two different versions of DNM on alternate days. Varying-choice
DNM was designed to be solved with allocentric spatial cues and has
been found to be unaffected by prefrontal lesions; recurring-choice DNM
was designed to be solved with egocentric spatial cues and has been
found to be impaired by prefrontal lesions (Porter and Mair, 1997 ;
Porter et al., 2000 ).
Water was delivered as a reinforcer only after a correct response was
made so that there would be no odors associated with the presence of a
reinforcer to cue correct responding. The numbers of trials/session and
the automated training procedures precluded washing the maze between
trials to eliminate scents left by rats. Although odor cues have been
shown to improve radial maze learning in rats (Buresova and Bures,
1981 ), they have not proven to be needed for accurate responding in
eight arm tasks where controls for scent trails are more feasible
(Zoladek and Roberts, 1978 ; Olton and Collinson, 1979 ). Radical
olfactory bulbectomy, sufficient to induce anosmia and disrupt
vomeronasal function, has been found to produce signs of hippocampal
dysfunction that make surgical treatment questionable as a means to
investigate contributions of scent cues to radial maze responding (Hall
and Macrides, 1983 ). To our knowledge, there is no evidence that scent
trails can mediate responding in a task such as DNM, in which rats must
cross the floor of the hub several times in each of 40 trials within a
session. Nevertheless, this possibility underscores the importance of
convergent evidence from multiple behavioral tasks to establish that a
brain lesion impairs the capacity for memory.
Recurring-choice DNM used the same three arms on all trials, after a
T-maze configuration with a central holding arm and two choice arms,
90° to the left and to the right of the holding arm. The sides and
top of the maze were covered, and the room was darkened to minimize
external cues. Trials consisted of a sample phase and a test phase. In
the sample phase, arms were opened for the holding arm and one of the
choice arms (the randomly selected sample for the trial), and rats were
reinforced for traveling from the holding arm to the sample arm and
then back to the holding arm, where the gate was closed to retain the
rat for the duration of the retention interval (randomly selected as 0, 6, 12, or 24 sec). At the end of the retention interval, the gates to
the three arms were opened, and reinforcement was given for entering
the choice arm not yet entered on that trial and then traveling back to
the holding arm to begin the next trial. Responses were scored as
correct when rats entered the arm where reinforcement was available without re-entering the previously reinforced sample arm (i.e., nonmatching to sample).
Varying-choice DNM differed in that arms were selected at random from
the eight arms of the maze on a trial-by-trial basis. Thus, unlike the
recurring-choice task, the spatial relationships between the choice and
holding arms changed in unpredictable ways, and the direction of a
correct choice could not be determined until the retention interval
ended. The room lights were on, and the clear polycarbonate sides and
ceiling of the arms were uncovered to reveal diverse external visual
stimuli. Varying-choice trials began with rats retained in the arm that
was last reinforced on the preceding trial (which then served as the
sample arm for the next trial). The gates to that arm and a second arm
(randomly selected from the seven alternatives as the holding arm for
that trial) then opened. Rats were reinforced for entering the holding arm, where they were retained for the duration of the retention interval (randomly selected as 0, 6, 12, or 24 sec). At the end of the
retention interval, the gates to the holding and sample arms were
opened along with the gate to a third arm (randomly selected from the
six remaining arms) that served as the nonmatching alternative for that
trial. Reinforcement was given when rats responded to the nonmatching
arm. Trials were scored as correct when the nonmatching arm was the
first one entered.
Before surgery, rats were trained to perform both varying- and
recurring-choice DNM in 40 trial sessions, switching between the two
versions on a day-by-day basis. Presurgical training was performed
until all animals assigned to a treatment reached a minimal criteria of
85% correct averaged across delays for each of the tasks. After 2 weeks of recovery from surgery, water deprivation was re-established,
and rats were trained for 10 sessions with each task, again alternating
between them on a day-by-day basis.
Self-paced serial reaction time. The SRT task was trained
using the chambers and procedures described by Burk and Mair (2001b) . Chambers were remotely controlled by computer and consisted of an
octagonal hub identical to the radial maze hubs (28 cm in diameter) with an arm (45 cm long × 9 cm wide) attached to one side. There were cylindrical response ports (6 cm diameter × 5 cm long)
centered on the other seven sides of the hub. Each port had a signal
light (2.5 cm diameter; 2.8 W) centered at the back, a well in the
floor into which water was delivered as a reinforcer, and an infrared photocell to detect head entries. There was a retractable lever at the
end of the arm (45 cm from the hub) and a photocell positioned 5 cm
from the hub to detect when rats reached the hub after pressing the
lever to begin a trial (Burk and Mair, 2001b ).
Rats initiated SRT trials by pressing the lever at the end of the arm.
This caused the signal lights in all seven ports to turn on. SRT trials
consisted of a runway response followed by a choice response. The
runway response began with the lever press and consisted of traveling
back down the arm and crossing the photocell at the entrance to the
hub. This was designed to give rats control over when stimuli were
presented and to ensure that they were in a consistent location
oriented toward the center of the hub (in an optimal position to
observe the location of the S+) at the start of the choice response.
The choice response then began as rats crossed the photocell just
before entering the hub with the lights in six of the ports turning
off, whereas the light in the seventh (randomly selected S+) port
remained illuminated. Reinforcement (0.1 ml tap water) was delivered
when rats responded to the S+ port within 3 sec of crossing the
photocell (the limited hold) without first responding to any of the
other ports.
Training sessions lasted for 96 trials or until 45 min elapsed. SRT
responses were characterized as correct (responding first to the S+
port within the 3 sec limited hold), errors of omission (failing to
respond to any port within the limited hold), and errors of commission
(responding to the wrong port within the limited hold). Response times
were measured for the runway response (the interval from when the lever
press was made to initiate the trial until the arm photocell was
crossed) and choice responses (from when the arm photocell was crossed
until a response was made to one of the response ports). Before
surgery, rats were trained to perform the SRT with the duration of the
S+ varying from 0.2 to 2 sec (to vary demands on sensory attention) to
a criterion of 85% correct (averaged across stimulus durations). The
limited hold remained 3 sec during this and all subsequent SRT training.
After recovery from surgery, rats were first trained for eight sessions
(of 96 trials) in which the S+ remained on for the length of the
limited hold (3 sec). This was done to measure response speed under
conditions in which demands on sensory attention were minimized. After
this, stimulus durations were varied at random (0.2, 0.4, 0.8, 1.2, 1.6, or 2 sec) again with a 3 sec limited hold. This training was
performed for nine sessions of 96 trials each.
To test the possible contributions of sensory or attentional factors in
any impairments observed, we trained rats postsurgically with two
additional versions of the SRT task, again following procedures
described by Burk and Mair (2001b) . To determine the ability to resist
distraction by extraneous stimuli, we compared SRT performance under
three conditions: no distraction, distraction by a bright (6.45 fl)
overhead light (40 W), and distraction by a 100 dB tone (randomly
selected as 2000, 6000, or 12,000 Hz). The type of trial (no, light, or
tone distraction) was selected at random on a trial-by-trial basis. The
light and tone distracters were presented for 0.1 sec at the same time
as the S+ (when rats first crossed the arm photocell after initiating a
trial with a lever press). To determine the ability to respond when
stimulus salience was reduced, we subsequently compared performance
when the steady-state level of background illumination was increased from 0.05 fl (no overhead light) to 0.71 fl (dim overhead light produced by a 6.5 W bulb) to 6.45 fl (bright overhead light produced by
a 40 W bulb). During salience testing, the light for a given trial
(none, dim, or bright) was turned on when trials were initiated by a
lever press and remained on until after a response was made or the
limited hold expired. These trial types were selected at random on a
trial-by trial basis. Distraction and salience were each tested for
eight sessions that lasted for 96 trials or until 45 min had elapsed.
During manipulations of salience and distraction, stimulus duration and
location were varied at random as in the preceding task.
Statistical analyses. We measured the significance of
behavioral performances with mixed-model ANOVAs with treatment group as
a between-subject variable and task-related factors (retention interval
and task for DNM and stimulus duration, illumination condition, and
distraction condition for SRT) as within-subject factors. For
within-subject variables for which uncorrected probabilities were
significant, we also report Geisser-Greenhouse probabilities to
correct conservatively for violations of sphericity. When
between-subject variables were significant, we used the Tukey-Kramer
post hoc test with = 0.05 to test for differences
among individual means.
Histological analyses. After completion of behavioral
training, rats in the four lesion groups were killed under deep
anesthesia (100 mg/kg ketamine and 10 mg/kg xylazine, i.m.) by
transcardiac perfusion of saline followed by 5% (v/v) neutral-buffered
formalin. Brains were cryoprotected by subsequent immersion in
solutions of 10% glycerin/4% neutral-buffered formalin and then 20%
glycerin/4% neutral-buffered formalin. Tissue was then blocked in the
plane of Paxinos and Watson (1998) using an RBM 4000C mold (ASI
Instruments, Warren, MI), and sectioned frozen in the coronal plane at
30 µm. Every fifth section was then mounted and stained with either
cresyl violet or thionin for histological examination.
To test whether surgical procedures produced comparable patterns of
damage for rats in the DNM and SRT training groups, we performed
quantitative analyses of the lesions. To do this, we defined the most
anterior section in which the corpus callosum crossed the midline as
AP = 1.6 mm and the most anterior section in which the anterior
commissure crossed midline as AP = 0.0 relative to bregma (Paxinos
and Watson, 1998 ). The anterior and posterior extent of each lesion was
then determined by counting sections from these landmarks to the most
anterior and posterior sections with bilateral signs of lesions. The
cross-sectional areas of dorsal and ventral striatum were measured by
capturing digital images at AP = 1.6 and AP = 0.5 (as defined
above) using a Spot RT Color imaging system and measuring areas with
Spot Advanced software, version 3.31 (Diagnostic Instruments, Inc.,
Sterling Heights, MI). The area of dorsal striatum was measured from
the lateral ventricle along the ventral and medial surfaces of the corpus callosum and external capsule and along a horizontal line drawn
parallel to the base of the brain across the bottoms of the left and
right lateral ventricles. The area of ventral striatum was measured
using this same horizontal line, measuring along the lateral edge of
striatum, the deep margin of piriform cortex, the base of the olfactory
tubercle, and the outer margin of the nucleus accumbens shell. For both
the dorsal and ventral measurements, the area of tissue damaged by the
lesion was subtracted from these overall measures.
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RESULTS |
Histological analyses
Four rats (two in the DNM and two in the SRT studies) died before
completion of behavioral training and were thus eliminated from
histological and behavioral analyses. All rats included in these
analyses recovered uneventfully from surgery and remained healthy,
exhibiting consistent positive weight gain while completing all aspects
of postsurgical training. The NMDA lesions were characterized by loss
of neurons and proliferation of microglial cells often marked by dense
bands of gliosis and signs of necrosis adjacent to the tracks of the
cannulas used to make infusions. There was apparent tissue loss
associated with the lesions, including cavitation, enlarged ventricles,
and other signs of tissue collapse in the areas damaged. Figure
1 shows photomicrographs of
representative lesions ~1 mm anterior to bregma. Figure
2 shows drawings of the extent of the
largest and smallest lesions (based on analyses described below) for
each group at AP = 0.5 relative to bregma.

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Figure 1.
Photomicrographs of representative striatal
lesions ~1 mm anterior to bregma in the coronal plane.
A, A medial caudate putamen lesion. B, A
lateral caudate putamen lesion. C, An olfactory tubercle
lesion. D, A nucleus accumbens lesion. Calibration, 1 mm. LV, Lateral ventricle; ec, external
capsule; ac, anterior commissure; Pir,
piriform cortex; Tu, olfactory tubercle. Lesions are
described in Results.
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Figure 2.
Drawings of the largest
(gray) and smallest (black)
amounts of damage produced by each of the four lesions. The drawings
are based on quantitative measurements at 0.5 mm from bregma (see
Results for details). Drawings are on templates derived from
Paxinos and Watson (1998) with permission from the publisher.
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The medial and lateral caudate putamen lesions appeared as bands of
gliosis extending vertically through the dorsal striatum and often
apparently distorted into a curvilinear shape by the collapse of
tissue in the area of the lesion. Quantitative measures at AP = 0.5 from bregma and midway through the dorsal striatum in the DV
dimension showed that the borders of the medial lesion averaged
0.17 ± 0.04 mm (mean ± SEM) from the lateral ventricle and
1.55 ± 0.06 mm from the external capsule. In contrast, the borders of the lateral lesions were 1.46 ± 0.05 mm from the
lateral ventricle and 0.25 ± 0.05 mm from the external capsule.
For comparison, the distance between the lateral ventricle and the
external capsule at this same location averaged 2.33 ± 0.09 mm
for rats in the nucleus accumbens and olfactory tubercle groups. Thus,
there was ~0.6 mm of tissue missing in the ML dimension in both the
medial and lateral lesion groups compared with rats receiving ventral lesions. Comparison of this linear dimension with the atlas rat in
Paxinos and Watson (1998) indicated that our fixation methods produced
~30% shrinkage and therefore that these lesions damaged a band of
tissue between 0.8 and 0.9 mm wide.
Olfactory tubercle lesions were virtually identical to those produced
by Burk and Mair (2001a) using the same procedures. As in this previous
study, these lesions affected the full extent of the olfactory tubercle
and involved overlying portions of the ventral pallidum and nucleus
accumbens shell. Because the ventral pallidum represents the major
output of both the shell and core areas of the nucleus
accumbens (O'Donnell et al., 1997 ; Groenewegen et al., 1999a ,b ), it
seems likely that this lesion affected functions mediated by both the
accumbens and tubercle areas of the ventral striatum. Nucleus accumbens
lesions involved both shell and core areas and extended in cases to
involve adjacent areas of septum and olfactory tubercle.
Figure 3 shows the AP limits of the four
lesions in the DNM and SRT training groups. These dimensions are
consistent with the coordinates used for the stereotaxic surgeries. In
all cases, lesions appeared to be continuous in the AP dimension,
producing damage in all sections examined between these extremes.
Figure 4 shows the cross-sectional areas
of dorsal and ventral striatum. In general, the ventral lesions seemed
to produce a greater extent of tissue loss. The most anterior measures
(AP = 1.6) are near the anterior limit of the dorsal lesions (Fig.
3); thus, it is not surprising that they were associated with
relatively little tissue loss at this level. Direct comparisons of
these measures between training groups shows that each of the four
lesions was associated with comparable patterns of damage in the DNM
and SRT groups (Figs. 3, 4). This was confirmed by t tests
showing no significant differences between the DNM and SRT training
groups for any of the quantitative measures of the lesions. Thus, the surgical treatments appear to have produced comparable damage in rats
trained to perform the SRT and DNM tasks.

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Figure 3.
The anteroposterior extent for each of the lesions
in each of the training groups in millimeters relative to bregma. The
bars show separately the average anterior (Ant) or
posterior (Post) limit at which bilateral damage was
apparent for each of the lesions for rats in the DNM and SRT training
groups. Damage was apparent in all sections examined between these
limits for all animals. There were no significant differences between
the DNM and SRT training groups for any of these measures.
Lat, lateral caudate putamen; Med, medial
caudate putamen; NAc, nucleus accumbens;
Tub, olfactory tubercle. Error bars represent SEM.
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Figure 4.
Cross-sectional areas at 1.6 and 0.5 mm anterior
to bregma for rats in each of the four lesion groups. There were no
significant differences between rats in the DNM and SRT training groups
for any of these measures. See Materials and Methods for details
on how these measures were made and analyzed. Error bars represent SEM.
Abbreviations are as in Figure 3.
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Radial maze DNM
Two rats (one tubercle and one lateral) died before completing
behavioral training. Figure 5 shows the
effects of striatal lesions on varying- and recurring-choice DNM for
the 43 surviving animals. Rats with accumbens, tubercle, or medial
caudate putamen lesions were consistently impaired compared with
controls. These impairments were more apparent for the recurring- than
for the varying-choice versions of DNM but did not appear to be
affected by the length of the retention interval. Lesions of lateral
caudate putamen had relatively little effect on performance, except at the 24 sec delay, where lateral lesions were associated with better performance for varying-choice DNM and poorer performance for recurring-choice DNM compared with controls.

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Figure 5.
Effects of striatal lesions on the percentage
correct for varying- and recurring-choice DNM trained in radial mazes.
Results are plotted separately for dorsal (medial and lateral caudate
putamen) and ventral (olfactory tubercle and nucleus accumbens)
lesions. All impairments were delay independent. Rats with accumbens
and tubercle lesions were impaired compared with controls for
recurring-choice DNM. The medial lesion group was impaired compared
with controls for both tasks. Rats with accumbens, tubercle, and medial
lesions were impaired compared with rats with lateral lesions for both
tasks. See Results for details. Error bars represent SEM.
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These trends were confirmed by ANOVA. There were significant effects of
group (F(4,38) = 10.406;
p < 0.0001), task (recurring- vs varying-choice DNM;
F(1,38) = 104.941; p < 0.0001; Geisser-Greenhouse p < 0.0001), and
retention interval (F(3,114) = 81.436;
p < 0.0001; Geisser-Greenhouse p < 0.0001). In addition, there were significant interactions between
task × group (F(4,38) = 4.987;
p = 0.0025; Geisser-Greenhouse p = 0.0025) and task × group × retention interval (F(12,114) = 2.204; p = 0.0158; Geisser-Greenhouse p = 0.0198). The
interactions between retention interval × group and retention interval × task were not significant (F values of
<1). Post hoc analyses (Tukey-Kramer, = 0.05)
showed that the tubercle, medial, and accumbens groups were all
impaired compared with the control and lateral groups. No other group
differences were significant by this measure.
To explore the simple main effects underlying the significant
interactions involving the different tasks, we performed separate ANOVAs for each of the tasks. For varying-choice DNM, there were significant main effects for group
(F(4,38) = 4.241; p = 0.0062) and retention interval
(F(3,114) = 55.314; p < 0.0001; Geisser-Greenhouse p < 0.0001) but not for
the interaction between these factors (F(12,114) = 1.346; p = 0.2026). Post hoc analyses (Tukey-Kramer, = 0.05) showed significant differences between the control and medial
groups and between the lateral group and medial, accumbens, and
tubercle groups.
For recurring-choice DNM, there were significant main effects for group
(F(4,38) = 12.727; p < 0.0001) and retention interval (F(3,114) = 42.307; p < 0.0001; Geisser-Greenhouse p < 0.0001) but not for
the interaction between them (F values of <1). Post hoc analyses (Tukey-Kramer, = 0.05) showed that the
tubercle, medial, and accumbens groups were all impaired compared with
either the control or lateral groups.
Self-paced serial reaction time
Two rats (one accumbens and one lateral) died before completing
behavioral training and thus were eliminated from behavioral analyses.
During the first eight sessions, when the S+ stimulus was illuminated
throughout the 3 sec limited hold period, there were no significant
differences between groups for percentage correct
(F(4,38) = 1.123; F = 0.3601) (Fig. 6). Rats with lateral lesions tended to make more errors of omission (68.3) than rats in the
control (8.4), accumbens (9.4), medial (13.6), or tubercle (14.7)
groups. These differences were statistically significant (F(4,38) = 3.384; p = 0.0183). Post hoc analyses (Tukey-Kramer, = 0.05)
showed that the lateral group made more errors of omission than any of
the other groups. Rats in the lateral group also took longer to
complete correct choice responses, measured as the median time for
individual rats to complete correct responses after crossing the arm
photocell (Fig. 6). These differences were significant (F(4,38) = 5.060; p = 0.0023). Post hoc analyses (Tukey-Kramer, = 0.05)
showed that the lateral group took longer to make choice responses than
any of the other four groups, and that the other groups did not differ
from each other.

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Figure 6.
Effects of striatal lesions on SRT choice response
accuracy and time. Results are shown for the first eight sessions, when
stimulus duration was 3 sec, and for the next nine sessions, when
stimulus duration varied from 0.2 to 2 sec (points connected). The
percentage correct varied as a function of stimulus duration but was
not affected significantly by any of the lesions. The lateral lesion
increased response time for correct responses significantly. See
Results for a more complete description of these findings. Error bars
represent SEM.
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|
Similar results were observed for each of these measures during the
subsequent nine sessions of training when the duration of the S+
stimulus was changed to vary demands on attention. As expected, all
groups showed a decrease in the percentage correct for shorter stimuli
(Fig. 6). ANOVA showed a significant main effect for stimulus duration
(F(5,190) = 239.848; p < 0.0001; Geisser-Greenhouse p < 0.0001) but not for
treatment group (F(4,38) = 1.977;
p = 0.1177) or for the interaction of these factors
(F values of <1). Rats with lateral lesions again tended to
make more errors of omission (57) than rats in the control (13.7), accumbens (6.5), medial (16.2), or tubercle (18.7) groups. These differences were statistically significant
(F(4,38) = 3.626; p = 0.0134). Post hoc analyses (Tukey-Kramer, = 0.05)
showed that the lateral group made more errors of omission than any of
the other four groups. Decreasing stimulus duration had relatively little effect on choice response speed. If anything, rats tended to
respond faster at the shortest durations tested. Lateral striatal lesions had a robust effect on response time that changed little as a
function of stimulus duration. Medial striatal lesions produced an
intermediate level of impairment. A two-factor ANOVA of response time
showed significant main effects for group
(F(4,38) = 6.275; p = 0.0006) and for stimulus duration
(F(5,190) = 5.642; p < 0.0001; Geisser-Greenhouse p = 0.0024) as well as
an interaction between these factors
(F(20,190) = 1.685) that was
significant for the uncorrected F ratio
(p = 0.0386) but not for the more conservative Geisser-Greenhouse test (p = 0.0947).
Post hoc analyses (Tukey-Kramer, = 0.05) showed
that the lateral group had significantly longer response times than the
control, tubercle, or accumbens groups.
Choice responses in the SRT task are routine or habitual behaviors that
must be modified on a trial-by-trial basis based on sensory input (the
location of the S+ stimulus). To test whether the striatal lesions
affected habitual behaviors that do not need to be modified between
trials, we compared the time taken to execute runway and choice
responses. Runway responses were measured from when rats initiated
trials by pressing the lever until they traveled down the arm and
crossed the photocell to begin the choice response. It did not seem
reasonable to differentiate between runway responses for trials in
which S+ stimuli subsequently varied in duration or that were followed
by correct or incorrect choice responses. For this reason, we
included data from all trials in this measure. To be consistent, we
included data for all trials in determining choice response time for
this comparison (Fig. 7). We found that striatal lesions had very different effects on runway and choice response times. The nucleus accumbens group tended to take longer to
make runway responses, whereas lateral and medial lesions had virtually no effect. ANOVAs indicated that these differences were not
significant during initial training with 3 sec stimuli
(F(4,38) = 2.414; p = 0.0657) or during subsequent training with stimuli varying from 0.2 to
2 sec (F(4,38) = 1.577;
p = 0.2033). The lateral lesion had a substantial
effect on choice response time when results were analyzed for all
trials, virtually the same as when analyses were restricted to correct
responses and analyzed separately for different stimulus durations
(compare Figs. 6 and 7). ANOVAs showed significant differences during
initial training (F(4,38) = 5.060; p = 0.0023) and during subsequent training with
different stimulus durations (F(4,38) = 6.207; p = 0.0006).

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Figure 7.
Effects of striatal lesions on the time taken to
complete runway and choice responses. Results are plotted in
A for the first eight sessions, when stimulus duration
was 3 sec, and in B for the next nine sessions, when
stimulus duration varied between trials. Results were combined for
correct and incorrect responses and (in B) for different
stimulus durations. Lateral lesions produced significant increases in
choice response time (comparable with analyses of correct responses in
Fig. 3) but had little effect on runway response time. See Results and
Discussion for more complete descriptions. Error bars represent
SEM.
|
|
Presenting a brief light as a distracter tended to decrease the
percentage correct and to increase choice response time without changing group differences (Fig. 8). For
percentage correct, there was a significant main effect for distraction
(none vs tone vs light) (F(2,76) = 80.942; p < 0.0001; Geisser-Greenhouse
p < 0.0001) but not for group
(F(4,38) = 2.028; p = 0.11) or for the interaction of these factors
(F(8,76) = 1.851; p = 0.0805). For choice response time, there were significant main effects
for group (F(4,38) = 6.308;
p = 0.0005) and distraction condition
(F(2,76) = 15.124; p < 0.0001; Geisser-Greenhouse p < 0.0001) but not for
their interaction (F values of <1).

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Figure 8.
Effects of striatal lesions on the percentage
correct and correct choice response time during manipulations of
steady-state background illumination (salience) and presentation of
light and tone distracters. Both of these manipulations had significant
effects on performance, but neither had differential effects on any of
the treatment groups. Results are combined for different stimulus
durations for these figures. Error bars represent the SEM.
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Presenting a bright steady-state light throughout a trial to reduce
stimulus salience had similar effects; the percentage correct was
reduced, whereas correct choice response time was increased. For
percentage correct, an ANOVA showed significant main effects for group
(F(4,38) = 3.399; p = 0.018) and background illumination condition (none vs dim vs bright)
(F(2,76) = 325.348; p < 0.0001; Geisser-Greenhouse p < 0.0001) but not for
the interaction of these factors (F values of <1). For
correct choice response time, there were significant effects of group
(F(4,38) = 5.328; p = 0.0017) and illumination condition
(F(2,76) = 64.28; p < 0.0001; Geisser-Greenhouse p < 0.0001) but not for
the interaction of these factors (F values of <1). Thus,
both the manipulations of distraction and salience had their expected
effects on behavior (reducing the percentage correct and increasing
response time); however, neither changed the effects of the striatal
lesions significantly. Comparison of results across tasks shows that
the effects of striatal lesions on SRT responding were remarkably
stable throughout postsurgical training, even with manipulations of
stimulus duration, distraction, and salience that were sufficient to
produce substantial changes in the overall SRT performance of all
groups (compare Figs. 6-8).
 |
DISCUSSION |
The intralaminar nuclei and striatal function
Lesions in discrete areas of striatum produced impairments
comparable with the effects of intralaminar lesions for both radial maze DNM and SRT (Mair et al., 1998 ; Burk and Mair, 2001b ). These results confirm our previous findings for DM trained with retractable levers (Burk and Mair, 2001a ). The DM task has also been shown to be
impaired by unilateral lesions of ventral striatum with unilateral
inactivation of the intralaminar nuclei in the opposite, but not the
same, hemisphere (Porter et al., 2001 ). Comparable evidence for the
interdependence of striatum and thalamus has yet to be reported for SRT
or radial maze DNM. The intralaminar nuclei have been implicated in the
control of attention and arousal (Kinomura et al., 1996 ; Purpura and
Schiff, 1997 ; Steriade, 1997 ). Matsumoto et al. (2001) recorded
posterior intralaminar neurons in awake monkeys during sensorimotor
conditioning and found that they responded in a broadly tuned manner to
stimuli in multiple sensory modalities. Inactivation of these neurons
affected both learning-related sensory responses of tonically active
neurons in the striatum and conditioned behavioral responses to these stimuli. Although evidence is lacking for rats, these results suggest a
role for the thalamus in activating conditional responses in the
striatum that might explain the similar effects of intralaminar and
striatal lesions on behavior.
There was a double dissociation between the effects of lesions
involving the lateral caudate putamen and ventral areas within the
accumbens or tubercle sites. Rats with lateral lesions were impaired
performing SRT, exhibiting more errors of omission and longer choice
response times than controls or rats with accumbens or tubercle
lesions. Lateral lesions had no effect on varying-choice or
recurring-choice DNM at short delays and nonsignificant (and opposite)
trends for these tasks at longer delays (Fig. 5). Neither of the
ventral lesions affected SRT performance, but both produced significant
delay-independent DNM impairments compared with control and lateral
groups. The medial group was impaired for DNM but exhibited an
intermediate level of impairment for SRT that did not differ
significantly from the control or lateral groups. Thus, there is more
ambiguity in the dissociation between impairments produced by lateral
and medial lesions. It is not clear whether the relatively small
effects of medial lesions on SRT reflect the spread of pathology into
lateral sensorimotor areas or impairments specifically related to
functions mediated by medial areas of caudate putamen. The finding of a
double dissociation is important for demonstrating the specificity of a
lesion effect. In SRT and DNM, water reinforcement is given for
responding to one side of an octagonal hub based on either recent
history of arm entries or the location of a luminance cue. The double
dissociation between these tasks suggests that the effects of
intralaminar lesions on remembering and intentional S-R responding may
be related to the effects of these lesions on different parts of striatum.
Effects of lateral caudate putamen lesions
Lateral caudate putamen lesions increased the time taken to
execute choice but not runway responses (Fig. 7). Both of these responses are sequential locomotor acts initiated by activity of the
rat. It is unclear how the selective decrease in choice response speed
could be explained as a general inability to perform sequential motor
actions (Cromwell and Berridge, 1996 ; Aldridge and Berridge, 1998 ) or
to respond based on egocentric or vestibular information (Potegal,
1982 ; Kesner et al., 1993 ; Packard and McGaugh, 1996 ). Similarly, the
extent of presurgical training, the accuracy of responding immediately
after surgery, and the stability of impairments throughout postsurgical
training make it seem unlikely that these deficits were related to
difficulty learning S-R relationships (White, 1997 ; Devan and White,
1999 ). Although each of these hypotheses may fail to provide a
convincing account for our results, none were tested directly, and
thus, none were contradicted by these findings.
There are a number of reports that caudate putamen lesions increase
response times for well trained S-R tasks that require selection
between response alternatives based on stimulus information presented
at the start of a trial (Brown and Robbins, 1989 ; Brasted et al., 1997 ,
1998 , 1999 ; Rogers et al., 2001 ). Choice responses differ from runway
responses in that they require rats to attend to an external stimulus,
select between response alternatives, and modify an ongoing response
based on the location of the luminance cue. Thus, the increase in
choice response time seems consistent with evidence from other studies
that the sensorimotor striatum is important for response selection
(Brown and Robbins, 1989 ; Brasted et al., 1999 ; Adams et al., 2001 ) or
for changing routine motor responses based on environmental or
contextual cues (Marsden and Obesco, 1994 ; Brown and Marsden,
1998 ).
Ventral striatum, retrieval, and amnesia
The ventral striatum has been implicated in nonspatial (Brown et
al., 1996 ; Lee et al., 1999 ; Fenu et al., 2001 ) as well as spatial
memory. In addition, it is an important point of interaction between
limbic areas thought to represent information held in working memory
and motor circuits controlling responding (Fig. 9). It receives inputs from the
hippocampal formation, entorhinal cortex, basal amygdaloid complex, and
prefrontal cortex and projects directly to the ventral pallidum,
substantia nigra, and ventral tegmental and midbrain extrapyramidal
areas and indirectly to the thalamus, prefrontal cortex, and dorsal
striatum (Nauta and Domesick, 1978 ; Groenewegen et al., 1996 , 1999a ,b ).
Thus, the ventral striatum appears organized to play a role in
retrieval or the ability to guide responding based on information held
in memory.

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Figure 9.
Relationship between ventral striatopallidal
pathways and locations of lesions associated with global amnesia in
humans. The ventral striatum (VStr) receives projections
from the hippocampal formation (HF), entorhinal
cortex (Ent), basal amygdaloid complex
(BAC), and limbic areas of prefrontal cortex
(PFC) (PL, IL,
AI, and OR) and projects through ventral
pallidum (VP) and substantia nigra pars reticulata
(SNr) to the midline (Mid), intralaminar
(IL), mediodorsal (MD), and ventromedial
(VM) thalamic nuclei. Areas implicated in
amnesias associated with medial temporal lobe damage are in
red, areas implicated in anterior communicating artery
disease are in blue, and thalamic damage in is in
green. See Discussion for details and
references.
|
|
The delay-independent effects of ventral lesions on DNM in Figure 5 are
in keeping with impairment in a process such as retrieval, which
is required for remembering at all retention intervals. Ventral
striatal lesions also produce delay-independent impairments of DM for
retractable levers (Burk and Mair, 2001a ) and DNM for odors (R. G. Mair, unpublished data). Although consistent, these results raise
concern about alternative explanations based on deficits in motivation,
attention, or response selection that might also account for a
delay-independent impairment. This concern was addressed in the present
study by comparing the effects of lesions on DNM and SRT. The normal
SRT performance of the tubercle and accumben groups demonstrates spared
capacity to orient and respond to external stimuli, resist distraction,
and respond selectively to the sides of octagonal chambers identical to
the radial maze hubs. Because both tasks were trained with water
reinforcement, the double dissociation between them also seems
inconsistent with a motivational explanation for the DNM deficit.
There is convergent evidence implicating the ventral striatum and
associated pallidothalamocortical circuitry in memory. Lesions of
intralaminar nuclei (Mair et al., 1998 ) and the prefrontal cortex
(Porter and Mair, 1997 ; Porter et al., 2000 ) have been found to produce
radial maze DNM impairments comparable with ventral lesions in the
present study. Equivalent lesions in these intralaminar, striatal, and
prefrontal sites have also been found to produce delay-independent
impairments of DM trained with retractable levers (Burk and Mair, 1998 ,
1999 , 2001a ; Mair et al., 1998 ), an effect confirmed in crossed
inactivation studies (Porter et al., 2001 ). Chang et al. (2002)
recorded neuronal responses in freely moving rats performing a
comparable DM task and found similar correlations with behavioral
events for neurons in the prefrontal cortex and nucleus accumbens.
Delayed responding on a radial maze has been shown to be impaired by
reversible bilateral inactivation of the nucleus accumbens, ventral
pallidum, mediodorsal thalamus, or prefrontal cortex or by crossed
inactivation of the prefrontal cortex in one hemisphere and either the
thalamus or nucleus accumbens in the other (Seamans and Phillips, 1994 ;
Seamans et al., 1995 ; Floresco et al., 1999a ,b ). Interestingly, these
effects were observed with inactivation before testing but not before
training, a pattern consistent with impaired retrieval. Recently,
Kalivas et al. (2001) have shown that delayed alternation trained in a
T-maze is impaired when the ventral pallidum is pharmacologically
stimulated, and that these effects are blocked by local infusion of
saclofen, a GABAB antagonist, into the
dorsomedial thalamus. This finding suggests that inhibition of the
intralaminar and mediodorsal nuclei (Groenewegen et al., 1999a ) by
GABAergic pallidothalamic afferents may underlie the effects of ventral
striatal lesions on spatial memory.
Clinical investigations have identified the medial temporal lobe,
thalamus, and basal forebrain as locations of lesions producing amnesia
(Zola-Morgan and Squire, 1993 ). Studies of anterior communicating artery disease with minimal pathology have identified the ventral striatum as the core area in the basal forebrain damaged in cases of
amnesia (Phillips et al., 1987 ; Abe et al., 1998 ; Goldenberg et al.,
1999 ). The entorhinal cortex, the amygdala, and the hippocampal system
provide afferent input to the ventral striatum and have been implicated
in clinical and experimental studies of medial temporal lobe amnesia
(Zola-Morgan and Squire, 1993 ). The midline, intralaminar, and
mediodorsal thalamic nuclei have afferent and efferent connections with
the ventral striatum and have been identified as sites of pathology in
cases of amnesia associated with Korsakoff's disease, thalamic
infarct, and trauma (Squire et al., 1989 ; Mair, 1994 ; Van der Werf et
al., 2000 ). Thus, the ventral striatal pathways implicated in spatial
working memory in the rat suggest functional links between the limbic
system, striatum, and thalamus that might help to explain the
localization of lesions producing global amnesia in humans (Fig.
9).
 |
FOOTNOTES |
Received Jan. 29, 2002; revised April 11, 2002; accepted May 10, 2002.
This work was supported by National Institute of Neurological Disorders
and Stroke Grant NS26855. We thank Tim Carlone, Shelly Folz,
Christina Mair, Matt Lauzon, Jessica Maehr, Jamie Renner, Melissa Rose,
Monique Teran, and Meg Toupin for assistance.
Correspondence should be addressed to Robert G. Mair, Department of
Psychology, University of New Hampshire, Durham, NH 03824. E-mail:
rgm{at}cisunix.unh.edu.
 |
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