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The Journal of Neuroscience, September 1, 2000, 20(17):6612-6618
Prefrontal Activation Evoked by Infrequent Target and Novel
Stimuli in a Visual Target Detection Task: An Event-Related Functional
Magnetic Resonance Imaging Study
Eiji
Kirino1, 2,
Aysenil
Belger1, 3,
Patricia
Goldman-Rakic4, and
Gregory
McCarthy1, 2
1 Veterans Administration Medical Center, West Haven,
Connecticut 06516, and Departments of 2 Neurosurgery,
3 Psychiatry, and 4 Neurobiology, Yale
University School of Medicine, New Haven, Connecticut 06510
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ABSTRACT |
An event-related functional magnetic resonance imaging study of
prefrontal cortex was conducted during which subjects performed a
visual "oddball" target detection task. Exemplars of three stimulus categories were presented at a rate of one per 1.5 sec for 10 runs,
each consisting of 132 trials. Standards were color squares of varying
sizes that were presented on ~92% of trials. Targets were color
circles of varying sizes presented irregularly on ~4% of trials.
Novels were pictures of everyday objects that were also presented
irregularly on ~4% of trials. Ten subjects participated in two
separate sessions in which they were required to count mentally or to
push a button whenever a target appeared. Targets evoked
activation within prefrontal cortex, primarily within the middle
frontal gyri (MFG). This MFG activation did not differ as a function of
the required response. Novels did not evoke significant activity within
this region despite evidence from a separate behavioral and
event-related potential study demonstrating their strong influence on
processing. In additional imaging sessions with two subjects, the rules
were reversed to require a button press whenever an object, but not a
circle, appeared. These former novels now evoked activation in the MFG,
but the former target circles did not. These experiments indicate that
MFG activation is reliably evoked by exemplars from arbitrary stimulus
categories that are mapped by experimental rules onto an arbitrary
covert or overt response.
Key words:
prefrontal cortex; P300; target detection; novelty; fMRI; visual stimuli
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INTRODUCTION |
Physiological studies in monkeys
have demonstrated dorsolateral prefrontal cortex (dPFC) involvement in
processes underlying working memory (Goldman-Rakic, 1987 ). Neuroimaging
studies in humans have supported this assertion by demonstrating dPFC
activation during various working memory tasks (Cohen et al., 1994 ;
McCarthy et al., 1994 , 1996 ; Smith et al., 1995 ; Braver et al., 1997 ;
Belger et al., 1998 ). These studies demonstrate the sensitivity of dPFC to tasks that engage "on-line" processing; however, the task
features most critical for activation are still a matter of
interpretation and debate. To illustrate, we have previously used a
visual "oddball" target detection task and found that infrequent
and irregularly presented targets reliably activated the dPFC,
particularly the middle frontal gyrus (MFG) (McCarthy et al., 1997 ).
However, the critical task properties necessary for MFG activation were
not established. Thus, MFG activation might be related to differences in probability and/or novelty of the stimuli, to attentional factors, to the nature of the response, or to the maintenance of a mental count.
A virtue of the oddball target detection task is that the number and
nature of the stimuli can be easily manipulated, and the rules
governing the mapping between stimulus categories and responses can be
rapidly changed. In addition, this task has been extensively
investigated using event-related potential (ERP) methods. Specific ERP
correlates have been well characterized (Squires et al., 1975 ), and
many have been shown to depend on the prefrontal cortex (Knight, 1984 ;
Baudena et al., 1995 ).
In the present study, we investigated the dependence of MFG activation
on these stimulus and response factors using event-related functional
magnetic resonance imaging (fMRI). Subjects were engaged in a visual
target detection that included equal numbers of task-relevant targets
and task-irrelevant novels. ERPs and performance data were recorded to
determine their differential effects on processing. To preclude
habituation to physical stimulus characteristics, targets and standards
were defined by geometric categories, with many exemplars of each
generated by varying size and color. Finally, the nature of the
response required of targets was varied. In one session subjects
mentally counted targets, and in another session subjects made button
press responses.
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MATERIALS AND METHODS |
Subjects. Ten right-handed neurologically normal
subjects (5 male and 5 female) ranging from 21 to 44 years in
age participated in these studies. All subjects gave informed consent
for a protocol approved by the Human Investigation Committee of Yale
University School of Medicine. Each subject participated in two to four
imaging sessions.
Experimental tasks. There were three stimulus categories:
standards, targets, and novels. Each stimulus was presented for 500 msec against a white background that subtended a visual angle of
5.4 × 5.4°. The onset-to-onset interval was 1500 msec.
Standards consisted of squares of varying sizes and colors. Targets
consisted of circles of varying sizes and colors. Novels consisted of
stock photographs of everyday objects (e.g., bicycle and glasses). No individual novel or target was repeated within an imaging session.
Each imaging session consisted of 10 stimulus lists of 132 stimuli
each. Targets and novels were pseudorandomly distributed such that they
each comprised 3-5% of the stimulus items in a given list. Successive
targets and novels were separated by a minimum of eight standards.
Subjects participated in a minimum of two imaging sessions
differentiated by the response requirements. In the count session,
subjects were required to count mentally the number of target circles
presented during each list and to report that count at the conclusion
of the list. In the button press session, subjects pressed a button
whenever a target circle appeared. In both sessions, no overt or covert
response was required to either novels or standards.
In addition to these primary tasks, some subjects participated in
additional imaging sessions. Two subjects participated in an additional
session in which the roles of the circles and object pictures were
reversed; i.e., they pressed a button whenever an object picture was
presented and ignored the previous target circles. Six subjects
participated in an additional session in which they pressed one button
for target circles and a second button for both standards and novels.
A computer was used to control stimulus timing and presentation. Visual
stimuli were delivered to an active matrix LCD panel and back-projected
onto a translucent screen mounted on the patient gurney of the scanner.
The subject viewed the stimuli through a mirror mounted in the head
coil. A fiber-optic response box was used for the button press
sessions, and subjects responded with their dominant hand.
Acquisition of MRI data. Images were acquired using a 1.5 tesla General Electric Signa scanner with a standard quadrature head
coil and an advanced nuclear magnetic resonance echoplanar subsystem.
The subject's head was positioned along the canthomeatal line and
immobilized using a vacuum cushion and a forehead strap. T1-weighted
sagittal scans were used to select six contiguous coronal slices
through the frontal lobe such that the center of the fourth slice was
aligned at the most anterior point of the corpus callosum. Functional
images were acquired using a gradient echo echoplanar sequence
[repetition time (TR), 1500 msec; echo time (TE), 45 msec; , 60°;
number of excitations (NEX), 1; and voxel size, 3.2 × 3.2 × 7 mm). Each imaging run consisted of 128 images per slice. Four
radio-frequency excitations were performed before image acquisition to
achieve steady-state transverse relaxation. High-resolution anatomical
images for these six slices were acquired using a T1-weighted sequence
(TR, 500 msec; TE, 1 msec; NEX, 2; field of view, 24 cm; slice
thickness, 7 mm; imaging matrix, 128 × 64).
Functional image analysis. Following the prodecure of
McCarthy et al. (1997) , image time segments consisting of the 6 images preceding and the 10 images following each of the ~50 targets and 50 novels were excised from the 10 runs constituting each subject's data.
Segments synchronized to a random selection of 50 standards were also
excised. These images were then averaged by stimulus type, maintaining
the order of each image relative to stimulus onset. Thus, each averaged
segment consisted of the average of the ~50 segments for each of the
16 images constituting the segment. The mean of the six prestimulus
images was subtracted from each of the 16 images constituting the
averaged segment so that deviations in the poststimulus period were
relative to a zero baseline.
The averaged segments were then subjected to the following analyses.
Because the main hypotheses of the present study were predicated on
those of McCarthy et al. (1997) , the primary analysis was based on the
correlation of the time course of prefrontal event-related activation
obtained in that study. Therefore, the smoothed average of the left and
right prefrontal time waveforms of McCarthy et al. (their Fig.
3a) was correlated with the time waveform for each voxel in
the averaged segments for targets, novels, and standards of the present
study. Those voxels significantly positively correlated with the
reference waveform (p < 0.01, one-tailed t value uncorrected for multiple comparisons for a
correlation based on 16 time points or 14 df; this t value
corresponds to r > 0.55) were then superimposed on a
high-resolution anatomical image. The number of activated voxels for
each subject was tabulated for each of the following anatomical regions
in each hemisphere: superior frontal gyrus (SFG), MFG, inferior frontal
gyrus (IFG), cingulate gyrus (ACG), and white matter control regions.
Group-averaged images depicting the average of each subject's
correlation image were constructed. The correlation images for each
subject, slice, stimulus type (target and novel) and response condition
(count and button press) were spatially registered to a common image
and then averaged. The spatial registration was performed by an
operator who translated and scaled each image in the horizontal and
vertical axes to match the template image. These group-averaged
correlation images were created to visually depict the general tendency
of the correlation data.
The analyses described thus far were focused on identifying and
measuring voxels with a time course similar to that described by
McCarthy et al. (1997) . To explore for the possibility of activated voxels showing a different pattern of activation, group-averaged image
segments were similarly constructed for each stimulus and response
type. These group-averaged segments were then subjected to region of
interest (ROI) analyses in which the average time courses for voxels
within the following anatomically circumscribed regions were measured:
superior frontal gyrus, middle frontal gyrus, inferior frontal gyrus,
anterior cingulate, and white matter. Orbital frontal regions were not
circumscribed because of susceptibility artifacts and concomitant
signal loss above the eyes.
Event-related potential recording. Subsequent to all of the
fMRI sessions, an ERP experiment was conducted using the same task
timing and stimulus lists used in the imaging studies. Subjects viewed
the stimuli on a computer monitor while seated in a sound-attenuated chamber. Ten subjects (5 male and 5 female; age range, 18-44 years) participated. Of this group, seven subjects were also participants in
the fMRI studies reported here, and the additional three subjects also
had previous experience with the task. Subjects made speeded choice
button press responses to all stimuli with their dominant hand. One
button was used to respond to targets (circles), and another button was
used for all nontargets (standards and novels).
The electroencephalogram (EEG) was recorded from 10-20 standard sites
frontal (Fz), central (Cz), and parietal (Pz). These sites are located
on the scalp midline 30, 50, and 70%, respectively, of the distance
between the nasion and inion. Each of these scalp electrodes was
referenced to an electrode on the chin. A ground electrode was placed
on the forehead. A bipolar electrode pair was placed above
and over the outer canthus of the right eye to record the
electrooculogram (EOG). Impedances of all electrodes were maintained at
<5 K .
During the task, the EEG and EOG were continuously digitized at 250 Hz/channel and stored on computer disk. Digital codes synchronized to
stimulus onsets and button presses were also stored. Standards,
targets, and novels were uniquely coded, as were the standards
immediately preceding and immediately following each target and each
novel. At the conclusion of the experiment, EEG epochs of 1024 msec
duration (100 msec prestimulus, 924 msec poststimulus) associated with
each stimulus type were excised from the continuous record. The root
mean square voltage of the EOG channel was computed to identify and
discard epochs associated with eye movements and blink artifacts.
Artifact-free epochs were segregated by stimulus code and averaged by
subject. A group average across all 10 subjects was also computed.
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RESULTS |
ERPs and performance
Although acquired subsequent to the imaging sessions, the results
from the ERP sessions will be described first to establish the
influence of targets and novels on standard measures. The reaction
times (RTs) to standards were significantly shorter than the RTs to
targets and novels (F(2,18) = 40.22;
p < 0.0001), which did not differ significantly. To
assess longer-duration effects of target and novel processing, the RTs
to the standards immediately preceding and immediately following each
target and novel were segregated and averaged and are presented in
Figure 1. Repeated measures ANOVA
confirmed a strong interaction between the intervening stimulus type
(target or novel) on the RTs to the immediately following standard
(F(1,9) = 23.46; p < 0.0009). Standards preceding and following both types of nonstandards
were compared with post hoc t tests revealing a
significantly prolonged RT to standards following novels
(p < 0.05, evident in 9 of 10 subjects) and a significantly reduced RT to standards following targets
(p < 0.05, evident in 8 of 10 subjects).

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Figure 1.
Mean reaction times with SE bars are plotted for
the standards immediately preceding (Pre-Standard) and
following (Post-Standard) nonstandard, i.e., novel
(dashed line) or target (solid line).
Novels and standards required a button press with the same finger.
Targets required a button press with a different finger.
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The group-averaged ERPs evoked by standards, targets, and novels are
shown in Figure 2. The targets elicited a
sharp negative ERP at ~200 msec (N200 or N2) that was largest in
amplitude at Cz and a large late positive ERP (P300 or P3b) at ~400
msec that was largest at Pz. The novels also elicited a large N2 at Cz
but evoked a much smaller P300 than the targets. Standards did not evoke either N2 or P300.

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Figure 2.
ERPs elicited by standards (dotted
line), novels (dashed line), and targets
(solid line). Recordings were made at midline sites over
the frontal (Fz), central (Cz), and
posterior (Pz) scalp. The N2 ERP at Cz is
indicated by a shaded arrow. The P3b ERP at
Pz is indicated by an open arrow.
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fMRI
The individual subject's data presented in Figure
3A typifies the general
results. Here, activated voxels to targets identified by correlation
with the time function of McCarthy et al. (1997) are shown as color
overlays on the subject's anatomical MRI. Activated voxels are clearly
evident in the MFG bilaterally, although the activation is greater in
the right MFG. The time course of activation is displayed in Figure
4A for the voxels
encircled in yellow within the right MFG in Figure
3A. These voxels were interrogated for the average segments
for targets, novels, and standards. A strong effect was obtained for
targets that peaked at 6 sec after the target onset. Novels and
standards did not activate these voxels. Correlation plots for novels
and standards (data not shown) did not show significant activation at
these slices for this individual.

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Figure 3.
A, Activated voxels evoked by
covertly counted targets and identified by correlation with the time
function of McCarthy et al. (1997) are shown in
red-yellow overlay on T1-weighted anatomical images for
the six slices through prefrontal cortex. Activated voxels are clearly
evident in the MFG bilaterally, although the activation is greater in
the right MFG. This individual's data typify the general pattern of
results. B, MFG activation evoked by targets to which
the subject made a button press are shown in red-yellow
overlay on T1-weighted anatomical images. As in A,
activation is bilateral but greatest in the right hemisphere. In this
and all following images, the right hemisphere
(R) is depicted on the left, and
the left hemisphere (L) is depicted on the
right.
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Figure 4.
A, Activation time courses for
targets (solid line), standards (long-dashed
line), and novels (short-dashed line) for the
activated voxels in the right MFG encircled in yellow
from Figure 3A for the covert count task. Only targets
show strong activation. B, Activation time courses for
targets (solid line) and novels (short-dashed
line) for the activated voxels in the right MFG encircled in
white from Figure 3B for the button press
task. As in A, only targets activated these MFG
voxels.
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Figure 3B shows activation data from one subject in the
button press response condition. As in the count condition depicted in
Figure 3A, the MFG was strongly activated, particularly the right hemisphere. The time waveforms for the activated voxels encircled
in white are shown in Figure 4B and
indicate strong activation by targets but not by novels. The
correlation images for the novel stimuli for this subject (data not
shown) did not reveal activation within the MFG.
The greatest number of activated voxels occurred within the MFG. A
histogram depicting the number of activated voxels within the left and
right MFG tabulated across subjects is presented in Figure
5. An ANOVA performed on these data
indicated a strong stimulus type effect in which targets activated the
MFG much greater than novels (F(1,9) = 14.2; p < 0.004) and a strong hemisphere effect in
which the right MFG was activated greater than the left MFG
(F(1,9) = 5.9; p < 0.01). Although there were numerically more activated voxels for
the button press than count conditions, this difference was not
statistically significant (F(1,9) = 0.26; p = 0.62).

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Figure 5.
The number of activated voxels (and SEM) within
the left and right MFG was tabulated across subjects.
RMFG, Right middle frontal gyrus; LMFG,
left middle frontal gyrus.
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This pattern is consistent with the group mean image data presented in
Figure 6. Here strong activation of the
MFG can be seen for both count and button press conditions in slices
1-4 for targets but not for novels. Some activation by targets of the
IFG can be observed in the most posterior slice. As for the MFG, this
activation is greater on the right than left. In addition, small
activation by novels was observed in posterior slice 5 in the right
IFG. No brain region showed a negative correlation with the reference
waveform that was consistent across subjects.

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Figure 6.
Group mean image data for the six slices (slice
1 is most anterior; slice 6 is most
posterior). Strong activation of the MFG can be seen for both count and
button press conditions in slices 1-4 for
Targets but not for Novels. Some
activation by Targets of the inferior frontal gyrus
bilaterally can be observed in the most posterior slice. As for the
MFG, this activation is greater on the right than
left. Some activation by Novels can be
observed in posterior slices 4 and 5 in
the right inferior frontal gyrus.
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As described in Materials and Methods, two additional control
experiments were conducted for a subset of subjects in which different
response contingencies were tested. Figure
7, A and B,
compares two separate button press sessions for one subject. In Figure
7A, the standard instructions were in force in which circles
were designated as targets and object pictures were task-irrelevant novels. As shown previously, the target circles strongly activated the
MFG, whereas the novel object pictures did not. In a subsequent imaging
session the rules were switched, and object pictures were designated as
targets. As shown in Figure 7B, the picture targets now
evoked strong activation within the MFG. The former target circles
evoked no such activation. Thus, the MFG activation was evoked by
whichever stimulus category was designated target.

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Figure 7.
A, Data for the first button press
session for subject 2 (overall session 2; session 1 was the covert
count condition). Here the circles were targets, and the pictures of
everyday objects were task-irrelevant novels. Activation was evoked in
the MFG bilaterally (right dominant) for the target circles only.
B, Data for the second button press session (overall
session 3) for subject 2 in which the response rules were switched. Now
the circles were task-irrelevant (novels) and the pictures of everyday
objects were the task-relevant targets. Bilateral activation of the MFG
was evoked by the picture targets but not by the circle novels. Thus,
MFG activation was evoked by whichever stimulus category was designated
as target. C, Results for subject 3 depicted for a
choice response task in which one button was pressed for both novels
and standards and a second button was pressed for targets. Targets
evoked strong activation of the MFG, just as they had in this
subject's initial session when only a single button press was required
for targets. Although now requiring the same button press response as
the standards, the novels evoked no such activation.
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In the main experiments, positive responses were only required of the
targets. Figure 7C presents the results for one subject who
was recalled to participate in a third session in which he responded
with one button for novels and standards and a second button for
targets (the same response requirements as in the ERP and behavioral
study). As in his initial session with a single button press (results
not shown), the targets evoked strong activation of the MFG. Although
now requiring a button press response, the novels evoked no such activation.
The results reported above were based on the correlation of the time
course of each voxel with a reference time course obtained from a
previous empirical study of target processing. It is possible that this
reference waveform may have missed activation evoked by novels if that
activation were manifested in a markedly different time course. We
therefore performed an exploratory anatomical region of interest
analysis on the group-averaged segments for targets and novels. Figure
8 presents the results of the ROI
analysis for slice 3. As expected, strong activation of the MFG by
targets was noted, and the activation time course was similar to the
template used in our correlation analysis. Of particular note here is
the essentially flat average time course evoked by novels within the MFG. Thus, the lack of activation evoked by novels observed in our
previous correlation analyses was not likely attributable to
differences in the shapes of the activation time course for targets and
novels.

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Figure 8.
Results of an ROI analysis for slice 3 located 7 mm anterior to the most anterior point of the corpus callosum. Strong
bilateral activation of the MFG was evoked by targets (solid
line) but not by novels (dashed line).
Activation was markedly absent for the superior frontal gyri and the
white matter control regions. Some activation evoked by targets was
observed in right IFG and cingulate gyrus. WM, White
matter.
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DISCUSSION |
The results confirm those of McCarthy et al. (1997) in that
infrequent visual targets evoked transient activation of prefrontal cortex, principally within the right MFG. The MFG activation was not
related to a particular physical stimulus, in that there was great
variability in the size and color of both standards and targets, but
rather to a category of stimuli defined by a differential response.
When the experimental rules were redefined to designate the pictures as
targets, the activation was evoked by pictures and not by the previous
target circles. It is also unlikely that the MFG activation coded for a
particular response modality, in that activation did not differ
significantly when targets mandated the updating of a mental count or
the execution of a button press. Prefrontal activation was not an
obligatory consequence of responding per se, because novels did not
activate MFG when they required the same dominant button press as
standards (see Fig. 7C). Also, MFG activation was greatest
in the right hemisphere, ipsilateral to the responding finger.
The MFG activation cannot be explained simply as a reflection of the
subject's involuntary attention or orientation to infrequent, irregular events independent of their task relevance. Novels did not
evoke MFG activation as measured by fMRI, despite having clear effects
on processing as measured by RT and ERPs. RTs to both novels and
targets were prolonged relative to standards, even though the response
required to novels was the same as that to standards. This
latter fact is significant in that RTs to standards following novels
were also prolonged, despite the fact that standards always followed
novels (i.e., a novel or target cued the subject through experience
that a standard would immediately follow) and that subjects made the
same motor response during this sequence. Regardless of their
experience with the task, subjects reported being momentarily
distracted by the appearance of a novel that they also frequently
reported mentally naming.
The present results extend previous fMRI findings concerning the
functional role of the dPFC in cognition and the considerable literature on the homologous middle frontal regions in nonhuman primates, particularly area 46. Because the task required attention to
all stimuli but responses to only a subset, the present findings are
clear that the MFG was activated only by stimuli that required an
intended differential response. Neither attention per se nor task-irrelevant novelty was sufficient to engage this region to any
significant degree. This finding is harmonious with lesion, imaging,
and single-cell recording studies in nonhuman primates. In
physiological studies, a single neuron responds during a delay interval
only when the response, e.g., an eye movement, is intended; the same
neuronal response is not evoked by a spontaneous eye movement made in
the dark (Funahashi et al., 1991 ). Furthermore, the memoranda in
working memory tasks need not be visual stimuli; they may be auditory
or somatosensory (Bodner et al., 1996 ). They may also be the previous
response of the animal, as in the delayed alternation tasks, in which
an animal's present response depends on its previous response (Goldman
et al., 1971 ).
Related to the present finding of the specificity of activation by
targets, similarly, prefrontal neurons engaged in mnemonic processes
are not affected by the presentation of stimuli other that their
preferred targets in their memory fields. Thus, a neuron that exhibits
a mnemonic response to a given stimulus presented at 90° is not
influenced by the presentation of similar stimuli in other locations
(Funahashi et al., 1989 ) or by the presentation of a different
(nonspatial) stimulus (Wilson et al., 1993 ). These findings also show
that attention is not sufficient for MFG activation as subjects
attended to the novels and standards, yet these stimuli did not evoke
strong activation. Finally, delay-related activation is observed at the
single-cell level whether the response is manual or oculomotor (Carlson
et al., 1997 ), indicating that there is flexibility in the nature of
the index response, and the memory process can drive more than one
effector mechanism similar to our present results in humans with
counting and button press.
The present study also required response inhibition on standard and
novel trials in the button press conditions. Relevant to these results
is that a large fraction of prefrontal neurons can code for the
direction of a response, whereas other prefrontal neurons can code for
the location of a stimulus (Funahashi et al., 1993 ). Furthermore, the
stimulus coding neurons are activated whether the intended response is
to the direction of the stimulus or to a direction opposite to the
present stimulus in an antisaccade task, indicating that prefrontal
neurons can adjust different responses to the same stimulus on a
trial-by-trial basis. Whether arbitrary stimulus- response mapping
is trained or instructed, correct target detection requires the subject
(human or animal) to be sensitive to changes in context created by
recent stimulus and response events and override automatic or prepotent
responses. Thus, a unifying feature of tasks that engage the middle
frontal areas is that the response to the current stimulus requires
remembering response rules, recent past events, and associations. The
present study confirms this principle by showing that MFG activation
does not require any particular stimulus (pictures, circles, or
squares) or any particular response (counting, choice response, or
go-no-go responding). The important feature is that the response be
goal-directed and that it be guided by a memory process, even an
arbitrary one.
As expected, targets evoked a prominent P300 or P3b ERP. This ERP is
readily elicited by task-relevant stimuli regardless of the nature of
the response required. However, P300 is greatly attenuated or absent
when the required response is repeated or predictable (for review, see
Donchin and Coles, 1988 ). The novels did not evoke a large P300 but did
evoke a prominent N200 or N2. N2 has been related to the detection of
infrequent stimuli that attract attention regardless of their task
relevance, a measure of orienting (Näätänan and
Gaillard, 1983 ). For task-irrelevant novel stimuli, N2 is frequently
followed by a more frontally distributed P3a, an ERP that was not
clearly evident in the current study.
ERP measurements were included in the present experiment solely to
document that novels significantly affected processing. It is
nevertheless interesting to note that circumstances that evoked MFG
activation (as measured by fMRI) were the same as those that evoked
P300 or P3b and not N2-P3a. P3a is diminished by prefrontal lesions,
suggesting that prefrontal cortex is critical for orienting or novelty
detection (Knight, 1984 ). This hypothesis is supported by the combined
study of ERPs and fMRI (Opitz et al., 1999 ) that postulated that one of
three dipoles for auditory novel P300 was located in the right PFC,
where fMRI activation was observed in response to novel sounds. These
authors suggested that PFC is engaged in accessing and retrieving
semantic concepts related to novel stimuli. The lack of fMRI activation
by novels within prefrontal cortex in the present study cannot be
easily reconciled with this role.
Tasks that reliably evoke P3a often use stimuli that are characterized
by affective attributes, e.g., the sound of a dog barking or telephone
ringing (Knight, 1984 ) among a background of tone pips or electrical
shocks among finger vibratory stimuli (Yamaguchi and Knight, 1991 ).
More recent studies from our laboratory have suggested that both
auditory and visual stimuli with affective attributes activated more
inferior frontal regions (Hinton et al., 1999 ; Kirino et al., 1999 ).
Thus, it may be that the affective nature of novel stimuli is critical
in evoking prefrontal activation. The visual novels presented here were
everyday objects with little or no affective content.
Analogous to results described for ERPs (Knight, 1984 ), it is possible
that the first few novels activated the MFG but that the activation
rapidly habituated. This early activation might not be evident in the
across-runs fMRI average given the unfavorable signal-to-noise ratio.
We attempted to examine this possibility by separately averaging the
first and last two novels of each run. We did not observe MFG
activation evoked by the initial novels; however, such an effect may
have been obscured by greater noise evident in these averages based on
few trials.
This experiment was focused on the MFG and guided by our previous
studies that have activated this region. However, in addition to the
MFG, targets evoked focal activation in the right posterior inferior
frontal gyrus, just anterior to the insula. This activation was also
evident in the anatomical ROI analysis (Fig. 8). Lesser activation of
this region was also noted for novels in Figure 6. These activations
were unpredicted and require replication. Our anatomical ROI analysis
also revealed that targets evoked a small activation of the ACG (Fig.
8), a region proposed as a critical element in an anterior attention
system (Posner and Petersen, 1990 ). Co-activation of the ACG and dPFC
has been previously observed by different investigators using different
working memory tasks (Petrides et al., 1993 ; D'Esposito et al., 1995 ),
although exceptions have been noted (Paulesu et al., 1993 ). Carter et
al. (1998) have recently reported that the ACG, but not dPFC, is
activated in tasks emphasizing response competition. This latter
hypothesis is consistent with the assertion of Pardo et al. (1990) that
the ACG is involved in selecting among competing response alternatives and the observation of Paus et al. (1993) that the ACG activation is
greater when stimulus and response are incompatible, such as making a
saccade away from a visual stimulus. This proposed role for the ACG in
selecting among response alternatives is generally compatible with our
emphasis on the mapping of stimulus categories to differential
responses. This formulation might predict that novels would also
activate the ACG to the extent that the delayed RTs for novels observed
in our behavioral study reflected increased uncertainty about the
correct response. Alternately, if the increased RT reflected
longer encoding and naming for pictures, then no ACG activation to
novels should be expected. A fuller exploration of the
processing stages responsible for this increased RT is necessary to
address this issue.
 |
FOOTNOTES |
Received Aug. 30, 1999; revised June 14, 2000; accepted June 16, 2000.
This work was supported by the Department of Veterans Affairs and by
National Institute of Mental Health Grants MH-05286 and MH-44866.
Correspondence should be addressed to Dr. Gregory McCarthy, Brain
Imaging and Analysis Center, Box 3808, Duke University Medical Center,
Durham, NC 27710. E-mail: gregory.mccarthy{at}duke.edu.
 |
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