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The Journal of Neuroscience, August 15, 2002, 22(16):7288-7296
Interaction of Inferior Temporal Cortex with Frontal Cortex and
Basal Forebrain: Double Dissociation in Strategy Implementation and
Associative Learning
David
Gaffan1,
Alexander
Easton2, and
Amanda
Parker2
1 Department of Experimental Psychology, Oxford
University, Oxford OX1 3UD, United Kingdom, and 2 School of
Psychology, Nottingham University, Nottingham NG7 2RD, United Kingdom
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ABSTRACT |
Macaque monkeys learned a strategy task in which two groups of
visual objects needed to be treated differently, one with persistent and one with sporadic object choices, to obtain food rewards. After
preoperative training, they were divided into two surgical groups of
three monkeys each. One group received crossed unilateral removals of
frontal cortex and inferior temporal cortex (IT × FC) and were
severely impaired in performing the strategy task. The other group
received bilateral transection of anterior temporal stem, amygdala, and
fornix (TS+AM+FX) and were unimpaired in performing the strategy task.
Subsequently the same animals were tested in visual object-reward
association learning. Here, confirming previous results, group IT × FC was unimpaired, whereas group TS+AM+FX was severely impaired. The
results show that the amnesic effects of TS+AM+FX cannot be generally
attributed to the partial temporal-frontal disconnection that this
lesion creates, and therefore support the hypothesis that the amnesic
effects of this lesion are caused primarily by the disconnection of
temporal cortex from ascending inputs from the basal forebrain. The
results also show that temporal-frontal interaction in strategy
implementation does not require those routes of temporal-frontal
interaction that are interrupted in TS+AM+FX, and therefore support the
hypothesis that projections to other posterior cortical areas allow
temporal and frontal cortex to interact with each other by
multisynaptic corticocortical routes in strategy implementation.
Key words:
amnesia; frontal cortex; visual memory; conditional
learning; executive function; cortical plasticity
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INTRODUCTION |
A severe memory impairment can
be produced in the monkey by surgically interrupting the axons in the
white matter of the medial temporal lobe (Gaffan et al., 2001 ; Maclean
et al., 2001 ). These axons include projections that rise from the basal
forebrain and midbrain to innervate widespread areas of lateral as well
as medial temporal cortex. The ascending axons reach the temporal
cortex through three routes (Selden et al., 1998 ): in the
fornix-fimbria, in fibers of passage through the amygdala, and in the
anterior temporal stem, which is the white matter surrounding the
amygdala dorsally and laterally. All three routes are interrupted by
the surgical excisions in H. M. [for the anterior temporal
stem damage, see Corkin et al. (1997) , their Fig.
2H-J]. A severe memory impairment results in the monkey only when all three routes (but not any subset of
only two routes) are interrupted (Gaffan et al., 2001 ). The same
functional effect can be produced by a very different surgical
manipulation in the monkey, namely disconnection by crossed unilateral
lesions of basal forebrain in one hemisphere and temporal cortex in the
other (Easton and Gaffan, 2000 , 2001 ; Easton et al., 2001 , 2002 ). The
similar effects of these two very different surgical manipulations in
the monkey, and the similarity of each of them to the effect of a third
different surgical procedure in the human brain (Corkin et al., 1997 ),
support the idea that their common feature, namely the subcortical
disconnection of temporal cortex, is the explanation of dense amnesia
after temporal lobe lesions, both in human patients and in monkeys.
Surgical section through the anterior temporal stem, amygdala, and
fornix also interrupts many potential routes of interaction between
temporal and frontal cortex, however, and it is possible that this
alone, rather than the subcortical disconnection of temporal cortex, is
sufficient to explain much of the amnesic effect of sectioning anterior
temporal stem, amygdala, and fornix. If this were true, however,
similar amnesic effects would be obtained by any other surgical
manipulation that disconnected frontal-temporal interaction. Because
the pathways of interaction between frontal and temporal cortex are
primarily ipsilateral, frontal-temporal interaction can be
disconnected by making crossed unilateral ablations of the temporal
cortex in one hemisphere and the frontal cortex in the opposite
hemisphere. This combination of ablations severely impaired monkeys'
ability to perform conditional discriminations that they learned
preoperatively (Gaffan and Harrison, 1988 , 1991 ; Parker and Gaffan,
1998 ). The main purpose of the present experiment, therefore, was to
compare directly the effects of these two surgical manipulations in two
groups of monkeys, one (group TS+AM+FX) receiving bilateral section of
anterior temporal stem, amygdala, and fornix, and the other (group
IT × FC) receiving crossed unilateral ablations of the inferior
temporal cortex in one hemisphere and the frontal cortex in the
opposite hemisphere. The animals were tested in two tasks: the
postoperative implementation of a preoperatively acquired conditional
strategy task and the postoperative new learning of object-reward associations.
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MATERIALS AND METHODS |
Subjects. We used six experimentally naive macaque
monkeys, S1-S6. S1 and S2 were Cynomolgus (Macaca
fascicularis), and the remaining animals were Rhesus (M. mulatta). S6 was female, and the other animals were male. At the
time of their first surgery they weighed between 3.7 and 5.6 kg.
After the completion of preoperative training the animals were
divided into two groups for surgery to equalize the preoperative
ability of the two groups. Animals S1-S3 formed group IT × FC,
which in two stages of surgery received crossed unilateral ablations of
frontal and inferior temporal cortex. Animals S4-S6 formed group
TS+AM+FX, which in two stages of surgery received bilateral transection
of the anterior temporal stem, amygdala, and fornix.
Surgery. The order in which the animals received surgical
operations is shown in Table 1. The
operations were performed under aseptic conditions. The monkeys were
anesthetized throughout surgery with barbiturate (thiopentone sodium)
administered through an intravenous cannula. The ablations were made by
aspiration under visual guidance with the aid of an operating
microscope. At the end of the operation the tissue was closed in
layers. After each operation, the animals rested for 10-14 d before
beginning postoperative behavioral testing. The surgical methods
described below are identical to those in the other recent experiments
from our laboratory that have investigated the effects of these
ablations.
Inferior temporal cortex ablation. This operation was
performed unilaterally in group IT × FC (Table 1). After coronal
incision of the skin and galea, the arch of the zygoma was removed, and the temporal muscle was detached from the cranium and retracted. A bone
flap was raised and extended with a rongeur over the area of the
ablation, and the dura mater was incised and retracted. Pia mater was
cauterized to control bleeding, and the cortical gray matter was
removed by aspiration. The extent of the ablation is shown in Figure
1. The ablation extended from the fundus
of the superior temporal sulcus to the fundus of the rhinal sulcus and
posteriorly included both banks of the anterior part of the occipitotemporal sulcus. The posterior limit of the ablation was a line
drawn perpendicular to the superior temporal sulcus, 5 mm anterior to
the inferior occipital sulcus. The anterior limit of the ablation was
the anterior tip of the superior temporal sulcus and a line drawn round
the pole from that tip to the rhinal sulcus. Within these limits all
the cortex was removed, including both banks of the anterior and
posterior middle temporal sulci.

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Figure 1.
The lesion in group IT × FC (monkeys
S1-S3). On the left of the figure the unilateral
inferior temporal ablation is shown in vertical hatching
in lateral (top) and basal (bottom) views
of the right hemisphere. On the right of the figure the
unilateral frontal ablation is shown in horizontal
hatching in lateral (top) and basal
(bottom) views of the left hemisphere, and in the center
the unilateral frontal ablation is shown in a medial view of the left
hemisphere. AS, Arcuate sulcus; CIN,
cingulate sulcus; IOS, inferior occipital sulcus;
LS, lateral sulcus; OTS, occipitotemporal
sulcus; PS, principal sulcus; ROS,
rostral sulcus; RS, rhinal sulcus; STS,
superior temporal sulcus.
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Frontal cortex ablation. This operation was performed
unilaterally in group IT × FC (Table 1). After sagittal incision
of the skin and galea, a bone flap was raised over the area of the intended ablation, and the dura mater was incised. The intention was to
remove the entire frontal cortex in one hemisphere except for primary
motor cortex. Pia mater was cauterized to control bleeding, and the
cortical gray matter was removed by aspiration. The extent of the
removal is shown in Figure 1. The cortical gray matter was removed from
the surface of the brain and from sulci within the boundary shown, and
the underlying white matter surrounding the corpus striatum was left intact.
Temporal stem and amygdala section. This operation was
performed bilaterally in group TS+AM+FX (Table 1). After coronal
incision of the skin and galea, the temporal muscle was detached from
the cranium and retracted. The zygomatic arch was left intact. The frontal and temporal bone overlying the anterior part of the lateral sulcus was removed with a rongeur. The dura mater was incised, and the
pia mater along the lip of the lower bank of the lateral sulcus was
cauterized from the temporal pole to the level of the central sulcus.
The cortex within the lower bank of the lateral sulcus was removed,
exposing the pia mater in the lower limb of the insula. The white
matter of the anterior temporal stem, adjacent to the foot of the
insula, was sectioned by aspiration. The gray matter of the
dorsolateral amygdala appeared when the section through the anterior
temporal stem was completed. Using aspiration and cautery, the
section was then extended through the amygdala until the pia mater on
the medial wall of the temporal lobe was encountered. The aim was to
section at a dorsal level in the amygdala to leave the perirhinal
cortex intact. The section through anterior temporal stem and amygdala
was then extended posteriorly to reveal the lateral ventricle and the
anterior-dorsal surface of the hippocampus. The hippocampus was left intact.
Fornix section. This operation was performed bilaterally in
group TS+AM+FX (Table 1). After sagittal incision of the skin and
galea, a bone flap was raised over the midline, and the dura mater was
incised over one hemisphere in a crescent shape and retracted to the
sagittal sinus. Veins running from the cortex into the sagittal sinus
and dura mater were cauterized and cut. The exposed hemisphere was
retracted with a brain spoon, and the corpus callosum was exposed. The
corpus callosum was sectioned with a glass aspirator in the midline, in
the region of the anterior thalamus and interventricular foramen,
exposing the fornix, and the fornix was sectioned with cautery and
aspiration. The flap was replaced, and the wound was closed in layers.
Histology. At the conclusion of the behavioral testing, all
of the animals were deeply anesthetized and transcardially perfused with physiological saline followed by 10% formalin. The brains were
blocked in the coronal stereotaxic plane, extracted from the cranium,
and cut on a freezing microtome in 50 µm sections in the coronal
plane. The sections were stained with cresyl violet, mounted on slides,
and coverslipped.
All three animals in group IT × FC (S1-S3) had ablations that
corresponded closely to the intended removals shown in Figure 1. The
ablations included the cortical tissue in the sulci within the intended
removal, as well as the cortex on the surface of the hemisphere. The
ablations in the animals of group TS+AM+FX (S4-S6) are shown in Figure
2. These drawings were made in the same
way as the drawings of this ablation in the initial report of the
behavioral effects of this ablation in a large series of monkeys
(Gaffan et al., 2001 ). It can be seen that the transection through
temporal stem, amygdala, and fornix was complete bilaterally in all
three animals. In animals S5 and S6, the cortical damage to the
anterior lateral temporal lobe was limited to the superior temporal
gyrus, as intended, leaving intact the visual association cortex of the
middle and inferior temporal gyri, that is, the cortex between the
fundus of the superior temporal sulcus and the fundus of the rhinal
sulcus. In animal S4, there was unintended damage in one hemisphere to
the perirhinal cortex, lateral to the rhinal sulcus. Posteriorly in all
animals the transection entered the lateral ventricle and spared the
hippocampus, as intended.

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Figure 2.
The lesion in Group TS+AM+FX (monkeys S4-S6). For
each of the three monkeys the lesion is shown on drawings of coronal
sections of a standard rhesus monkey brain at two levels, 15.5 mm
anterior to the auditory meatus (top) and 12.5 mm
anterior to it (bottom). L, Lateral
sulcus; S, superior temporal sulcus; A,
anterior middle temporal sulcus; R, rhinal
sulcus.
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Apparatus. The monkey was brought to the training apparatus
in a wheeled transport cage (floor area 600 mm wide and 500 mm deep),
which was then fixed to the front of the apparatus. The monkey could
reach out through bars at the front of the transport cage to touch a
touch-sensitive color monitor screen that was 150 mm from the front of
the cage. The screen was 380 mm wide and 280 mm high. A closed-circuit
television system allowed the experimenters to watch the monkey from
another room, and the room with the monkey and apparatus contained no
other monkeys or people during the test sessions. Small food rewards
(pellets specially formulated for monkeys, 190 mg) were delivered into
a hopper placed centrally underneath the monitor screen. A single large
food reward was delivered at the end of each training session by
opening a box that was set to one side of the centrally placed hopper.
The box contained peanuts, raisins, proprietary monkey food, fruit, and
seeds. The amount of this large reward was adjusted for individual animals to avoid obesity. Opening of the box with the large food reward, like all other aspects of the events and the experimental contingencies during any session of training, was under computer control. The purpose of delivering the large reward was to give the
animals an additional incentive to perform the tasks. The small and
large rewards dispensed in the training apparatus provided almost the
whole daily diet of the monkeys on days with a test session.
Stimulus material. The visual objects were colored
monograms, constructed from a set of 574 typographic characters that
were all different from each other. To make one object, two characters were chosen randomly from the set, each was independently given a
random color, and they were abutted side by side, just touching each
other, to form a monogram. The characters were chosen with the
constraint that no character could appear in more than one object for
any monkey. The colors were chosen with a brightness constraint that
varied with the size of the character, dimmer colors being permitted
for characters of larger area. The objects were ~35 mm high and 45 mm
wide on average. For each individual monkey, the objects to be learned,
in both of the experimental tasks, were unique to that monkey. Thus,
any variance attributable to differences between individual sets of
objects is controlled in the same way as variance attributable to
differences between individual monkeys, variance between object sets
being confounded with variance between monkeys.
Procedure: preliminary training. Animals were initially
trained to touch objects on the touch screen by autoshaping procedures similar to those described previously in detail (Gaffan et al., 1984 ).
They then learned some object-reward associations, similar to those in
the postoperative test of object-reward associative learning described
below, before beginning the preoperative training schedule described
below. Stimulus objects that were used in this preliminary training did
not reappear in the subsequent tasks.
Procedure: preoperative acquisition of the strategy task.
The strategy task was similar to conventional conditional learning in
that different choices were appropriate on different trials but similar
to human strategy implementation in that the strategy currently being
followed by the subject, rather than any discrete external cue,
dictated which choices were appropriate on any trial. Two means of
obtaining food reward, "persistent" and "sporadic" pursuit of the reward, were each implemented by the choice of objects
from one or the other of two arbitrarily defined classes of visual
objects, one class for the persistent strategy and the other for the
sporadic strategy.
In the main task, after the introductory training described below,
there were four pairs of objects (described under Stimulus material).
The pairs were used once each in random order in a block of four trials
and then again in a new random order in the next block of four trials
and so on until the last trial in a session. Within each pair of
objects, one of the objects, at random, was designated a
"persistence" object (type P) and the other was designated a
"sporadic" object (type S). On any trial in the task, a pair of
objects was presented side by side on the screen with its left-right
position determined at random, and the animal chose one object by
touching it. The animal had to learn by trial and error which object
was of which type. Food rewards (described under Apparatus) were
dispensed according to the schedule described below. Whichever choice
was made, both objects disappeared from the screen and an intertrial
interval of 5 sec began, during which any touch to the screen reset the interval.
The reward schedule was based on the idea that P-type objects rewarded
only a persistent attempt to gain reward from them, whereas S-type
objects rewarded only a sporadic attempt to gain reward from them. A
persistence-type reward was obtained if and only if four successive
choices of P-type objects were made on four successive trials. Choices
of type S were rewarded only if at least four successive trials had
previously passed without any S choice. Various overall strategies can
be adopted, of which the simplest is just to make persistent choices
all the time; this strategy produces one reward in every four trials.
The most efficient overall strategy is to pursue P for four trials then switch to S for just one trial then switch back to P for a further four
trials, and so on. This efficient strategy was shown by all monkeys at
the end of preoperative training and is illustrated in Figures 4 and 5.
Haphazard choices produce few rewards, as illustrated by performance
after the second operation in Figure 4.
The proficiency of an animal's performance of the task can be measured
by the ratio of trials to rewards. The most efficient strategy gives
two rewards in every five trials, a ratio of 2.5 trials per reward, and
less efficient strategies give a higher ratio. A Monte Carlo simulation
of the task showed that with random choices there would be 16.3 trials
per reward on average. We defined criterial performance as a ratio of
2.94 trials per reward, calculated on the basis that 85% of 2.94 is
optimal performance (2.5), and the criterial performance can therefore
be thought of as 85% of optimal. Training was administered in daily
sessions, and the last reward earned in each session was the large food
reward (see Apparatus). Trials in each session continued until a
predetermined number of rewards had been earned. The number of rewards
to be earned was usually 50 rewards, but this was reduced if an animal appeared reluctant to work in the early stages of training.
Preoperatively there was a program of introductory training in which
simpler versions of the task were administered. Each animal began with
only one pair of objects, and the value that the P choice accumulator
had to reach to deliver a P reward or make available an S reward, the
accumulator threshold that was set at four in the main task as
described above, was initially set at two. When the animal achieved a
ratio of 2.94 trials per reward in a single session, the accumulator
threshold was then set to three, and when the animal again reached a
ratio of 2.94 trials per reward, the accumulator threshold was finally
increased to four, and training continued until the animal achieved a
ratio of 2.94 trials per reward in each of two successive sessions. After reaching this criterion with one pair of objects, the same procedure was repeated with three further pairs one by one, but the
introductory trials with an accumulator threshold of two or three were
only one session, rather than being trained to a criterion, with the
pairs after the first pair. Each of these further three pairs of
objects was trained to the same criterion as the first pair, namely two
successive days with 2.94 or fewer trials per reward, at an accumulator
threshold of four. After criterion was reached with the fourth pair,
the four pairs were presented concurrently in each session in random
order; this was the main task as described above. Preoperative training
in this main task continued until criterial performance was attained in
each of two successive daily sessions.
Procedure: implementation of the strategy task before and after
operation. On the completion of preoperative training in the strategy task, there was a period of 14 d without training,
followed by a preoperative retention test. Subsequently, after each of the two surgical operations, there was a postoperative retention test.
In all of these retention tests, daily sessions continued until a total
of 300 rewards had been earned. In the preoperative retention test,
there were 50 rewards per session, as in preoperative training. The
same was true of those postoperative tests that showed no impairment,
that is, after the first surgery for both groups and after the second
surgery for group TS+AM+FX. After the second surgery for group IT × FC, however, performance was so severely impaired that these animals
were required to earn only 30 rewards in each session. The sessions at
this retention test continued until 300 rewards had been earned in
total, as in the previous retention tests, and thus, this retention
test consisted of 10 sessions of 30 rewards.
Procedure: postoperative object-reward associative
learning. After completing the final retention test of the
strategy task, all the animals except S5 were transferred to the
associative learning task. (S5 was transferred to a different
experiment, not described here.) The procedure was identical to that
which was followed in our previous experiments, which tested the
effects of the same lesions on the same task (Parker and Gaffan, 1998 ; Gaffan et al., 2001 ). On any trial, two objects were displayed on the
left and right sides of the screen. Any such pair of objects constituted a reward-association learning problem, one object having
been designated the correct (rewarded) one in the pair and the other
the wrong one. The monkey chose one object by touching it, and both
objects then disappeared. If the chosen object was the correct one, a
food reward (190 mg) was dispensed. During the intertrial interval of
10 sec, any touch to the screen reset the interval. Sessions continued
until 100 correct choices had been made, and the last correct choice
was rewarded with the large food reward (see Apparatus). Objects were
learned in sets of 10 problems (object pairs) concurrently. Each object
in any new set was an object that the monkey had not encountered
before. In successive runs of 10 trials, each problem was presented
once. The order of problems within a 10-trial run was random. The
animal continued daily sessions with a set of 10 until a criterion was
met of 90% correct choices in the whole session (111 or fewer trials
to earn 100 rewards), in sessions after the first session with that
set, or of 90% correct choices after the first 10 trials, in the first session with that set. Learning ability was assessed by the number of
errors committed, including those made in the criterial session, but
excluding errors made during the first 10 trials with a new set of
objects, when performance was necessarily at chance. The day after
reaching criterion on one set, the animal began training with a new
set. The animals learned three sets of 10 problems in this manner.
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RESULTS |
Preoperative acquisition of the strategy task
Table 2 shows results from
individual monkeys in learning the strategy task with four pairs of
objects acquired one after another (1-4) and subsequently with all
four of those pairs combined (All). Each session of training continued
until a certain number of rewards had been earned, and learning rate is
therefore expressed as rewards to criterion, excluding the criterial
sessions. The two groups that were subsequently assigned to receive
different surgical operations (group IT × FC and group TS+AM+FX)
learned the task preoperatively at a similar rate to each other, as is seen in the total number of rewards to criterion (Total). Furthermore, it can be seen that among the four successive object pairs (1-4), each
was on average learned more quickly than the one before. The final
column in Table 1 (First ratio) shows the trials per reward in a single
session of training, the session when all four previously learned
object pairs were combined together for the first time. It can be seen
that all animals performed at a high level in this first session.
Recovery from surgery
Recovery from surgery was uneventful in all cases. The animals did
not show any behavioral abnormalities in the home cages.
Implementation of the strategy task before and after operation
The preoperative retention test of the strategy task showed good
retention in all individuals, as shown in the left column of Table
3 (Pre). Similarly, after the first
surgical operation (Post1; see Table 1 for the sequence of surgical
operations in each animal), performance remained good in both groups.
However, after the second operation (Post2), performance was severely
impaired in group IT × FC but not in group TS+AM+FX. The group
means are shown graphically in the left panel of Figure
3. Statistical analysis confirmed the
effects seen. After the first operation there was a small but reliable
deterioration of performance, by comparison with the preoperative
retention test (F(1,4) = 28.00;
p = 0.006), but the size of this effect was not
different between the two groups
(F(1,4) < 1). The effect of the
second operation, measured by comparison with performance after the
first operation, differed markedly between the two surgical groups
(F(1,4) = 30.321; p = 0.005).

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Figure 3.
Summary of the ablation effects in both tasks. The
left panel shows implementation of the preoperatively
acquired strategy task. The origin of the vertical axis in this panel
is 2.5, which is optimal performance, and higher values indicate less
proficient performance. PRE shows the preoperative
retention test. IT or FC shows performance after the
first operation in group IT × FC; see Tables 1 and 3 for details.
TS+AM shows performance after the first operation in
group TS+AM+FX. IT×FC shows performance after the
second operation in group IT × FC. TS+AM+FX shows
performance after the second operation in group TS+AM+FX. The
right panel shows object-reward association learning.
The data from the control group in the right panel
(CONT) are from a group of normal animals,
previously reported by Gaffan et al. (2001) , performing exactly the
same task, in the same apparatus, as the present newly reported
animals. Group IT×FC in the right panel
comprises both the present newly reported animals S1-S3 and also the
animals performing the same task after the same lesions in the
experiment by Parker and Gaffan (1998) . Group TS+AM+FX
in the right panel comprises both the present newly
reported animals S4 and S6 and also the animals performing the same
task after the same lesions in the experiment by Gaffan et al. (2001) .
In each panel the error bars represent the SEMs. Data from individual
monkeys are in Table 5.
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Trial-by-trial performance at each surgical stage is illustrated in
Figure 4 from an individual animal in
group IT × FC. It can be seen that performance in the
preoperative retention test was proficient; in the illustrated
preoperative session, there were three inappropriate sporadic choices
and two failures to obtain a sporadic reward that was available, and
the rest of the session was optimal. Similarly, after a unilateral
frontal ablation in the first operation, performance remained
proficient. However, after a crossed unilateral inferior temporal
ablation in the second operation, the animal's choices became
disorganized.

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Figure 4.
Three complete sessions by animal S1 in Group
IT × FC. These are the final sessions in the three retention
tests, which were a preoperative retention test, a postoperative
retention test after the first surgery to remove frontal cortex
unilaterally, and a final postoperative retention test after the second
surgery to remove the contralateral inferior temporal cortex
unilaterally. Each letter shows the individual monkey's
choice on a single trial of the session. The letter p or
P indicates the choice of a persistence-type object, and
s or S indicates the choice of a
sporadic-type object. Lowercase letters indicate
unrewarded choices, and uppercase letters indicate
choices that produced a food reward.
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It can be seen in the final session in Figure 4 that after the second
operation, this animal not only made sporadic choices when they were
inappropriate but also failed to make sporadic choices when they were
appropriate, that is, when they would have been rewarded. The data from
all animals in the IT × FC group were analyzed to investigate the
reliability of this effect. Figure 5 shows, for each of the three retention
tests, the probability of a sporadic choice as a function of the number
of preceding persistent choices. Optimal performance requires that a
sporadic choice be made only after four persistent choices, the fourth of which is rewarded. Preoperatively and after the first surgery, choices were close to optimal, in that there was a low probability of
sporadic choices intruding into the sequence pppP and a high probability of a sporadic choice after a rewarded P choice, when a
sporadic reward was always available. After the second operation in
this group, not only did the probability of making an inappropriate sporadic choice increase, but also the probability of making an appropriate sporadic choice decreased. The data from individual monkeys
are presented in Table 4. Statistical
analyses confirmed the reliability of the effects seen. One analysis
examined choices after the sequences p, pp, or ppp. Here, the
probability of a sporadic choice showed a significant interaction of
surgical stage with number of preceding persistent choices
(F(4,8) = 5.430; Huynh-Feldt p = 0.021), as well as a significant main effect of
surgical stage (F(2,4) = 42.977;
Huynh-Feldt p = 0.009). The main effect of surgical stage confirms that sporadic choices were more frequent in these sequences after the second operation, and the interaction reflects the
fact that preoperatively the animals were increasingly less likely to
intrude a sporadic choice as the sequence pppP progressed trial by
trial, whereas postoperatively there was no such change in probability
of a sporadic choice. The preoperative behavior is rational because the
cost of intruding a sporadic choice, in terms of the increase in the
number of trials between two rewards, is greater after ppp than after
p, for example. A second analysis examined choices after the sequence
pppP, when a sporadic choice was the best choice and would always be
rewarded if made. Here, the probability of a sporadic choice declined
after the second operation (t(2) = 3.062; p = 0.046, one-tailed). Thus, the impairment was
not only a disinhibition of sporadic choices, but also a failure to
produce sporadic choices when they were appropriate. It should also be
noted, however, that although the overall performance after the second
operation was severely impaired in the ways that have been described,
it was not at chance, which would be 16.3 trials per reward (see
Materials and Methods).

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Figure 5.
Probability of a sporadic choice as a function of
preceding choices, at each of the three surgical stages in Group
IT × FC (monkeys S1-S3). The data from individual monkeys are
given in Table 4. p = an unrewarded persistent
choice; P = a rewarded persistent choice (as in
Fig. 4). indicates preoperative performance; indicates
performance after the first operation; indicates performance after
the second operation.
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A final analysis examined performance session by session after the
second operation in group IT × FC to determine whether they
showed signs of recovering performance with postoperative practice.
Figure 6 shows that, for each of the
three individual monkeys in this group, performance did not improve
over the 10 sessions of the retention test. There was no significant
correlation of performance with session number in any of the animals or
in the group as a whole (the greatest absolute correlation coefficient between trials per reward and session number in the individual monkeys
was r(8) = 0.562, p = 0.091, and the same correlation coefficient for the group mean
performance was r(8) = 0.301, p = 0.398).

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Figure 6.
Trials per reward in each of the 10 sessions of
the final postoperative retention test in Group IT × FC (monkeys
S1-S3). , S1; , S2; , S3.
|
|
Postoperative object-reward associative learning
Figure 3, right panel, shows errors to criterion during
object-reward association learning. Results from the individual
animals are given in Table 5. The data
from the control group in Figure 3 (CONT) are from a
previously reported group of eight normal Rhesus and Cynomolgus
monkeys, performing exactly the same task, in the same apparatus, as
the present newly reported animals [these were animals A1-R1 in Table
4 in Gaffan et al. (2001) ]. Group IT × FC in Figure 3,
right panel, comprises the present newly reported animals
S1-S3 and also the two animals that performed the same task after the
same lesions in an earlier experiment [these were animals OP5 and OP6
in Table 3 in Parker and Gaffan (1998) ]. The errors to criterion per
set of 10 problems that were made by the new animals S1-S3 were
similar to those made by the two animals with the same lesions in the
earlier experiment (Table 5). Group TS+AM+FX in Figure 3, right
panel, comprises the present newly reported animals S4 and S6 (S5
did not perform this task; see Materials and Methods) and also the four
animals that performed the same task after the same lesions in an
earlier experiment [animals A3, B3, C1, and O2 in Table 4 in Gaffan et
al. (2001) ]. The errors to criterion per set of 10 problems that were
made by the new animals S4 and S6 were similar to those made by the four animals with the same lesions in the earlier experiment (Table 5).
ANOVA showed that the three groups in Figure 3 differed
significantly in their proficiency of associative learning
(F(2,16) = 33.695, p = 0.000). A designed comparison using the pooled error term showed that
learning in group TS+AM+FX was significantly less proficient than in
group IT × FC (t(16) = 6.377, p = 0.000).
 |
DISCUSSION |
The most important aspect of the preoperative data in the strategy
task was the good performance that we observed when four pairs of
objects, which had been learned separately, were first put together and
tested concurrently. The ratio of trials to rewards reflects
proficiency in the task, optimal performance producing a ratio of 2.5 and chance performance a ratio of 16.3. The average of 3.03 in the
first session with the four separately learned pairs put together for
the first time (Table 2, First ratio) therefore represents good
performance. This shows that the animals had not learned to use
specific objects as conditional discrimination cues in learning the
four pairs separately. In principle, an animal could have learned, for
example, that in the first pair a reward for choosing object 1 is an
instruction cue to switch to object 2, and vice versa. If so, however,
there would have been no transfer when all four pairs were put together
and now a reward for object 1 is followed by a choice between some
different pair of objects, say 7 and 8, which have never been trained
with objects 1 and 2. The good transfer to concurrent testing indicates
that the animals had learned a more abstract rule, linking each object to one or other of the two available strategies for obtaining reward.
This abstract rule, linking objects to strategies, is similar to some
aspects of human cognitive capacity that are dependent on frontal
function, including planning, the sequential organization of actions,
and the application of strategies (Luria, 1966 ; Milner, 1982 ; Shallice,
1982 ; Duncan, 1986 ; Owen et al., 1990 ; Shallice and Burgess, 1991 ). In
these human tasks, like the present strategy task and unlike previous
conditional learning tasks with monkeys, there is frequently no
discrete conditional cue that signals the appropriate action.
After crossed unilateral removals of frontal and inferior temporal
cortex, in group IT × FC, the impairment in implementing the
preoperatively learned strategy task was severe (Fig. 3) and stable
(Fig. 6). Furthermore, the impairment in this task was not simply a
failure to inhibit sporadic choices. Not only did the probability of an
inappropriate sporadic choice increase postoperatively, but also the
probability of an appropriate sporadic choice decreased (Fig. 5). The
result was a general disorganization of choices (Fig. 4). At the same
time, these animals were quite unimpaired in learning object-reward
associations (Fig. 3, right panel), confirming
previous results (Parker and Gaffan, 1998 ). These results, taken
together, strengthen the existing evidence (for review, see Gaffan,
2002 ) that the prefrontal cortex is involved in learning and retrieving
any kind of information that is not adequately processed in other, more
specialized cortical areas. This includes, as the present results
indicate, the retrieval of abstract rules.
The opposite pattern of results was produced by bilateral section of
anterior temporal stem, amygdala, and fornix, in group TS+AM+FX.
Confirming previous results, these animals were severely impaired in
object-reward associative learning (Fig. 3, right panel). The new and striking finding from this group,
however, was that they implemented the preoperatively learned strategy task at an almost normal level of proficiency (Fig. 3, left
panel). This result shows that the severe and general
memory impairment shown by these animals in new postoperative learning
(Gaffan et al., 2001 ) is not attributable to temporal-frontal
disconnection. It also adds powerfully to the evidence (Easton and
Gaffan, 2000 ; Gaffan et al., 2001 ) that these animals' impairment in
acquiring new memories is much more severe than their impairment in
retrieving memories that were acquired preoperatively.
There are several possible routes by which frontal cortex and inferior
temporal cortex might communicate in the implementation of a strategy.
Peripheral routes of interaction (Eacott and Gaffan, 1989 ) and
interhemispheric routes, through the forebrain commissures or
indirectly through subcortical structures that communicate across the
midline, are clearly not sufficient for normal performance, in the
light of the impairment seen in the animals with crossed unilateral
removals. Furthermore, the normal performance of the strategy task by
the animals with section of temporal stem, amygdala, and fornix (Fig.
3) shows that several possible routes of within-hemisphere temporal-frontal communication are not necessary for normal
performance of the task. One such route is the monosynaptic,
corticocortical route of interaction between frontal and inferior
temporal cortex in the uncinate fascicle (Ungerleider et al., 1989 ),
which is cut as part of the anterior temporal stem section in these
animals. The present study reinforces the conclusion from other
experiments that this monosynaptic route is necessary only for a small
subset of tasks, namely conditional discriminations with a visual
instruction cue (Eacott and Gaffan, 1992 ; Gaffan and Eacott, 1995a ,b ;
Gutnikov et al., 1997 ). Another possible route of within-hemisphere
temporal-frontal communication is mediated by the basal forebrain,
through frontal influence on the basal forebrain and basal forebrain
influence on the temporal lobe cortex (Mesulam and Mufson, 1984 ; Ongur
et al., 1998 ; Rempel-Clower and Barbas, 1998 ). Like the monosynaptic route, this route is also ruled out as necessary for the performance of
the strategy task by the unimpaired performance of the animals with
section of fornix, amygdala, and temporal stem.
Discussing the negative effects of uncinate fascicle section,
Gaffan and Eacott (1995b) suggested that temporal and frontal cortex
could interact within each hemisphere within the corpus striatum, to
which they both project. Wise et al. (1996) proposed a detailed model
in which the corpus striatum potentiates behavioral rules. These
suggestions offer one possible route through which temporal cortex and
frontal cortex might interact in implementing the strategy task.
However, parsimony argues against this proposal. In simple visual
association learning for reward, several lines of evidence show that
visual information can be retrieved from inferior temporal cortex, and
used to select the choice of the appropriate object, by some other
route than by the projection from inferior temporal cortex to the
corpus striatum. First, electrophysiological recordings from this
region, namely the part of the caudate-putamen that receives the
projection from inferior temporal cortex, show that in monkeys learning
visual object-reward associations, the activity of the cells does not
encode information about the object-reward associations or about the
animals' choices (Brown et al., 1995 ). Second, the output from the
basal ganglia is ultimately, via the thalamus, primarily to the frontal
cortex itself (for review, see Wise et al., 1996 ), and therefore visual
choices in visual reward-association learning, which is unimpaired by
crossed unilateral lesions of frontal and temporal cortex, cannot be
mediated by this route. Third, if a large area of nonvisual cortex is
removed in the monkey, the animal can no longer make visual choices of any kind, although the basal ganglia and the visual cortex including inferior temporal cortex, are both intact (Nakamura and Mishkin, 1986 ).
These three lines of evidence suggest that in object-reward association memory, the crucial output of inferior temporal cortex is
to cortex (as further specified below) and not to the corpus striatum.
However, if that transcortical output is sufficient and necessary for
performance of visual object-reward association tasks, it is
parsimonious to suppose that the same transcortical output is also
involved in other more complex visual tasks, including conditional
discriminations and the present strategy task.
This hypothesis is illustrated in Figure
7. The posterior cortical areas referred
to in Figure 7 include parietal and prestriate cortical areas, which
receive projections from both frontal cortex and inferior temporal
cortex. We assume that these posterior areas can represent
differentially the implementation of the two strategies for pursuit of
food reward, persistent and sporadic, because those two strategies
differ in the pattern of eye movements and hand movements that the
animal makes. Frontal input to these posterior cortical areas therefore
could selectively activate the representation of the currently active
strategy, and reciprocal temporal connections with these posterior
cortical areas could then activate the representations of the
appropriate objects for that strategy. A similar hypothesis of temporal
interaction with posterior cortex in memory retrieval has been put
forward to explain visual neglect (Gaffan and Hornak, 1997 ). These
transcortical associative networks are created, as our previous results
have indicated (Easton and Gaffan, 2000 , 2001 ; Easton et al., 2001 ,
2002 ), by the influence of the basal forebrain on cortical association
formation. Once created, however, they do not need basal forebrain
input to function normally in implementation of the strategy or action
that has been learned.

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Figure 7.
Proposed routes of interaction between inferior
temporal cortex (ITC) and prefrontal cortex
(PFC) in the two present tasks. For each task,
heavy lines and arrows indicate pathways
that are necessary, and light lines and
arrows indicate pathways that exist but are not
necessary for that task.
|
|
 |
FOOTNOTES |
Received March 6, 2002; revised May 13, 2002; accepted May 24, 2002.
This research was supported by a grant from the Medical Research
Council UK.
Correspondence should be addressed to Dr. D. Gaffan, Department of
Experimental Psychology, Oxford University, South Parks Road, Oxford
OX1 3UD, UK. E-mail: gaffan{at}psy.ox.ac.uk.
 |
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