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The Journal of Neurophysiology Vol. 87 No. 5 May 2002, pp. 2577-2592
Copyright ©2002 by the American Physiological Society

1Department of Experimental Psychology, University of Oxford, Oxford OX1 3UD; 2Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom; and 3Montreal Neurological Institute, Montreal, Quebec H3A 2B4, Canada
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ABSTRACT |
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Rushworth, M.F.S., K. A. Hadland, T. Paus, and P. K. Sipila. Role of the Human Medial Frontal Cortex in Task Switching: A Combined fMRI and TMS Study. J. Neurophysiol. 87: 2577-2592, 2002. We used event-related functional magnetic resonance imaging (fMRI) to measure brain activity when subjects were performing identical tasks in the context of either a task-set switch or a continuation of earlier performance. The context, i.e., switching or staying with the current task, influenced medial frontal cortical activation; the medial frontal cortex is transiently activated at the time that subjects switch from one way of performing a task to another. Two types of task-set-switching paradigms were investigated. In the response-switching (RS) paradigm, subjects switched between different rules for response selection and had to choose between competing responses. In the visual-switching (VS) paradigm, subjects switched between different rules for stimulus selection and had to choose between competing visual stimuli. The type of conflict, sensory (VS) or motor (RS), involved in switching was critical in determining medial frontal activation. Switching in the RS paradigm was associated with clear blood-oxygenation-level-dependent signal increases ("activations") in three medial frontal areas: the rostral cingulate zone, the caudal cingulate zone, and the presupplementary motor area (pre-SMA). Switching in the VS task was associated with definite activation in just one medial frontal area, a region on the border between the pre-SMA and the SMA. Subsequent to the fMRI session, we used MRI-guided frameless stereotaxic procedures and repetitive transcranial magnetic stimulation (rTMS) to test the importance of the medial frontal activations for task switching. Applying rTMS over the pre-SMA disrupted subsequent RS performance but only when it was applied in the context of a switch. This result shows, first, that the pre-SMA is essential for task switching and second that its essential role is transient and limited to just the time of behavioral switching. The results are consistent with a role for the pre-SMA in selecting between response sets at a superordinate level rather than in selecting individual responses. The effect of the rTMS was not simply due to the tactile and auditory artifacts associated with each pulse; rTMS over several control regions did not selectively disrupt switching. Applying rTMS over the SMA/pre-SMA area activated in the VS paradigm did not disrupt switching. This result, first, confirms the limited importance of the medial frontal cortex for sensory attentional switching. Second, the VS rTMS results suggest that just because an area is activated in two paradigms does not mean that it plays the same essential role in both cases.
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INTRODUCTION |
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A number of imaging studies have identified
activation within the human medial frontal cortex in tasks involving
response conflict and attention to action (Bench et al.
1993
; Botvinick et al. 1999
; Carter et
al. 1995
, 1998
; Derbyshire et al. 1998
; Jueptner et al. 1997a
,b
; Leung et al.
2000
; McDonald et al. 2000
; Pardo et al.
1991
; Paus et al. 1993
; Taylor et al.
1994
, 1997
). It has, however, proved difficult to interpret the
functional role of these activations (Paus 2001
) for a
number of reasons.
The behavioral tasks used in studies that have activated the medial
frontal cortex are often complex, and it is difficult to know exactly
which aspect of the task was critical in producing medial frontal
activation (Bench et al. 1993
; Botvinick et al. 1999
; Carter et al. 1995
; Derbyshire et
al. 1998
; Leung et al. 2000
; McDonald et
al. 2000
; Pardo et al. 1991
; Sohn et al.
2000
). There is longstanding ambiguity about whether
conflict occurs at the level of action or sensory selection in many of
the paradigms, such as Stroop (1935)
or flanker
(Eriksen and Eriksen 1974
) paradigms, used in imaging
studies of attention-to-action and response conflict (McLeod
1991
).
There is uncertainty about which medial frontal areas have attentional
or task switching functions. Some studies have had only limited spatial
resolution and others have been guided by a priori assumptions about
the region of interest to be analyzed. There has been some
inconsistency in the labeling of human medial frontal activations, and
diverse medial frontal regions are likely to have diverse functional
roles. A number of studies of response conflict have recorded
activations in a relatively dorsal region of the medial frontal cortex
defined by
10 < x < 10, 0 < y < 15, 45 < z < 55 (Talairach and Tournoux 1988
) in, around, and just
posterior to the paracingulate sulcus (Paus et al.
1996a
,b
). When such activations have been recorded in response
conflict studies, they have sometimes been assigned to cingulate
cortex, but they may be in a human equivalent of the presupplementary motor area (pre-SMA) (Crosson et al. 1999
; Deiber
et al. 1999
; Luppino et al. 1991
;
Matsuzaka et al. 1992
; Picard and Strick 1996
; Sakai et al. 1998
-2000
).
Although medial frontal activation has been prominent in imaging
studies (Paus et al. 1998
), there is a paucity of
inactivation or lesion data to constrain its interpretation. Just
because an activation change is recorded in an area when two tasks are
compared does not mean that the area carries out a cognitive operation that is essential for one task but not the other. It is
known from animal studies that the activity of single neurons can be modulated during a task even when interference studies indicate that
the neurons of the area are not essential for the task's performance.
For example, the activity of single cells in the dorsal and ventral
premotor cortices is modulated when a monkey reaches, but removal or
inactivation of the premotor cortices causes only minor disruption of
reaching (Passingham 1988
; Rea et al.
1987
; Wise et al. 1996
). Instead interference
studies suggest that the premotor cortex is important for aspects of
motor learning and the selection of learned movements (Kurata
and Hoffman 1993
; Kurata and Hoshi 1999
;
Passingham 1993
; Petrides 1986
;
Schluter et al. 1998
, 1999
). Moreover it is now becoming
clear that the situation is even more complicated in the case of
functional magnetic resonance imaging (fMRI). A combined fMRI,
single-unit and field-potential recording study recently suggested that
the fMRI signal was more closely correlated with field potential
recording than with action potentials recorded from single cells
(Logothetis et al. 2001
). If this is the case,
then fMRI responses may be more reflective of the afferent input to a
brain area than the area's output.
Finally, a related issue concerns when an activated brain
area makes its critical contribution to the performance of the task. Knowing an area's critical time of operation may help elucidate the
nature of the cognitive process it performs in a task. It is not clear
if the temporal resolution of human neuroimaging techniques, even
event-related fMRI, is sufficient to disentangle the temporal order in
which brain activity occurs in different areas. The interposition of
large delays within a task (McDonald et al. 2000
) may
allow temporal separation of task components, but it may also
drastically alter the nature of the task by introducing a need for new
cognitive processes such as working memory.
To address these issues, we have used event-related fMRI to define
medial frontal activation in two simple task-set-switching paradigms.
In one paradigm, the response-switching paradigm (RS), switching and
conflict only occurred with respect to response selection. Subjects
selected between responses on each trial, but the rules for response
selection varied between trial blocks. In the second, the
visual-switching (VS) paradigm, attentional switching and conflict
occurred in relation to the selection of sensory attributes. Subjects
selected between stimuli according to their shapes or colors; the
critical dimension varied between trial blocks. We have previously
described the VS and RS paradigms as manipulating attentional and
intentional sets, respectively (Rushworth et al. 2001c
).
Switching in both paradigms is associated with similar increases in
processing demands as indexed by reaction time (RT) increases after
switching (M.F.S. Rushworth, R. E. Passingham, and A. C. Nobre, unpublished data). For both VS and RS paradigms, our analysis
was performed by comparing increases in event-related blood-oxygenation-level-dependent (BOLD) signals ("activations") that were time-locked either with the "switch" cue, which
instructed subjects to switch from one way of performing the task to
the other, or the control "stay" cue, which just instructed
subjects to continue performing the paradigm in the same way as before. We recorded prominent dorsomedial frontal activation in both paradigms. The pre-SMA was activated in the RS task.
So that we could assess whether and when
dorsomedial frontal activity was essential for
task-switching, we used frameless stereotaxy (Paus
1999
) to direct repetitive transcranial magnetic stimulation
(rTMS) at the activated region while subjects performed the two
paradigms. TMS can be used to disrupt, reversibly and transiently, the
normal activity of a brain area (Hallet 2000
; Jahanshahi and Rothwell 2000
; Pascual-Leone et
al. 2000
; Walsh and Rushworth 1999
). Because it
is an interference technique, TMS can be used to determine whether a
brain area is essential for task performance. Because its disruptive
effect is transient, TMS can be used to determine when a brain area
plays a critical role (Ashbridge et al. 1997
;
Schluter et al. 1998
, 1999
; Terao et al.
1998
; Walsh and Cowey 1998
; Walsh
et al. 1998a
,b
). When applied over the pre-SMA, TMS disrupted
RS performance after a switch cue but not after a stay cue. TMS over a
midline control site 4-cm posterior to the pre-SMA site did not disrupt
performance in the same way.
To examine the specificity of the effect, we used several procedures
during the course of additional TMS experiments (experiments 3 and 4).
First we replicated the effect of rTMS in a different group of
subjects, using higher frequency TMS (10 Hz rather than 5 Hz). Second,
we examined the effect of TMS at a different frontal control site. To
control for the effects of having inadvertently stimulated adjacent
premotor areas, we tested the effect of TMS over the dorsal premotor
cortex area in the vicinity of the superior branch of the superior
precentral sulcus (Schluter et al. 1998
, 1999
).
Third, in addition to examining the spatial specificity of the TMS
effect, we also examined its temporal specificity. In addition to
applying TMS immediately after switch or stay cues, we also tested its
effect on the first trial of a task block after either a switch or stay
cue. This is an important control for several reasons. Given the nature
of the BOLD signal and its modeling, the results from the fMRI part of
the experiment probably reflect cognitive processes related to the
performance of the first trials of the block in addition to the
preceding switch or stay cues. Moreover, it has been suggested that
distinct cognitive processes occur during set switching; switching may
begin with a prospective process of set initiation and re-configuration
after the switching instruction that can be distinguished from
subsequent performance of the new task (Meiran 2000
;
Meiran et al. 2000
; Monsell et al. 2000
;
Rogers and Monsell 1995
; M.F.S. Rushworth, R. E. Passingham, and A. C. Nobre, unpublished results). In this way, we
were able to compare the role of the dorsomedial frontal cortex with
that of the premotor cortex in prospective set re-configuration and subsequent actual task performance.
The fourth set of control procedures involved testing the effect of TMS on attentional switching in the VS paradigm. The effect of TMS over dorsomedial frontal cortex was compared during two different time periods, either immediately after the switch or stay cues or at the time of the first trials of switch or stay blocks.
In combination, the fMRI experiments and the various TMS experiments demonstrated that a dorsomedial frontal area, probably the pre-SMA, had a role in re-configuring intentional task set in the RS paradigm and that its role could be distinguished from the role of the dorsal premotor cortex in selecting individual task responses. Despite its activation the dorsomedial region did not appear to play the same role in the re-configuration of attentional set in the VS paradigm.
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METHODS |
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Experiments 1 and 2
fMRI and 5 Hz dorsomedial frontal TMS
SUBJECTS. In total, 20 right-handed, healthy volunteers participated in the fMRI recording study (ages 19-31 yr). The vision of all subjects was normal or corrected to normal with MRI-compatible glasses. Ten subjects performed the RS paradigm and 10 performed the VS paradigm. The data from two subjects who performed the VS task was lost after mains power failures disrupted data acquisition and storage. Eleven of the 20 subjects participated in the subsequent TMS study, 6 performed the RS paradigm, and 5 performed the VS paradigm. All subjects gave their informed written consent before participation. The procedures were approved by the Research Ethics Committee of the Montreal Neurological Institute and Hospital.
BEHAVIORAL TASKS. Experiments were conducted both with subjects lying in the coil of the dimly illuminated MRI scanner room or in the dimly illuminated TMS laboratory. Stimulus presentation for fMRI and TMS tests was controlled by essentially identical computer programs. Stimuli were presented on a computer monitor in front of the subjects in the TMS study. In the fMRI study, the stimuli were projected onto a screen using an LCD projector at the head of the scanner tube. Subjects performing the fMRI task used a mirror so that the stimulus appeared directly in front of them.
RS. Figure 1 (left) summarizes the RS paradigm. The RS paradigm concerned intentional set switching and it targeted the mechanisms of task-switching that depend on changing the rules for response selection and response conflict. On each trial, subjects saw either a red triangle (5.1° width, 2.7° high) or rectangle (3.7° width, 2.7°high). During the first set of trials, subjects made a right-hand response to the rectangle and a left-hand response to the triangle. A small circle (0.9° diam, 70-ms duration) provided feedback to the subjects 100 ms after the response (yellow for correct responses and blue for incorrect responses). An interval of 800 ms followed before the onset of the next trial. The intervals between trial onsets varied according to the variable reaction times, and averaged approximately 1,500 ms.
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VS. Figure 1 (right) summarizes the VS task. The VS paradigm complemented the RS paradigm and shared most aspects of its formal design. It was designed to study the mechanisms involved in set switching that depend on switching attention between different sensory dimensions of stimuli. Two visual stimulus items were presented simultaneously (70-ms duration) to either side (1.7° eccentricity) of a white central fixation cross (1.3° width, 1.1° high) on a black background on a PC monitor. The two items always consisted of one rectangle shape (1.7° width × 2° high) and one triangular shape (2.6° width [with base up], 2° high). One of the items was always green and one of the items was always red. Either shape could be combined with either color. Subjects used either a particular shape (e.g., rectangle) or color (e.g., red) to direct their attention to the relevant item to detect occasional embedded targets (see following text). There was a variable 1,200- to 1,500-ms interval between trials.
As in the RS paradigm, each experimental session was broken down into shorter blocks of 9-11 trials. At the beginning of an experimental block, during the first set of trials, subjects were told to attend to one particular stimulus feature (e.g., red color) and identify targets that appeared within the relevant (red) item. Subsequently, instruction cues appeared before each set of 8-17 trials. Instruction cues were either a vertical (+) or a tilted (×) cross appearing in a white rectangular background (6° width, 5° high) presented for 200 ms. Cues indicated that the subject should switch the current visual rule for selection or stay with the current visual rule. There was a 1,000-ms interval between the onset of the instructive cue and the onset of the first pair of items. The visual selection rule was switched between particular predefined features in different dimensions (e.g., red and rectangle). For example, starting with the relevant feature "red," the switch cue (e.g., ×) would inform the subject that the relevant feature became "rectangle." The next switch cue instructed the subject that the relevant feature returned to being red. The appearance of the stay cue (+) instructed subjects to continue selecting items based on their current visual rule. The meaning assignment (switch, stay) of each cue (×, +) was counterbalanced across subjects. The specific features for each dimension relevant for selection (red/rectangle, red/triangle, green/rectangle, green/triangle) were also counterbalanced across subjects. The counterbalancing of cue assignment and selection features ensured that behavioral measures were un-confounded with artifacts due to different physical appearances of the stimuli. Five levels of matched red and green luminosities were used randomly for item colors throughout the experiment. Differences in the physical intensity of stimuli therefore were unlikely to contribute systematically to attentional effects. To ensure feature-guided sensory attention, subjects were asked to discriminate small target stimuli embedded within the items. A small (0.7° long and 0.06° high) horizontal or angled line was presented in the middle of each item. The embedded stimulus appeared only briefly (15 ms) at the end of each item presentation (55 ms after item onset) to maximize the advantage of orienting toward the relevant item. On most trials (80%), embedded nontargets were presented; the nontarget was either a horizontal line or a line angled upward (approximating a "v") to different degrees (0.06-2.9°). On rare (20%) target trials, the line was deviated downward (into a "w," always by 2.9°). Subjects responded on the detection of the rare target (w) with a single key-press. Targets (w) only ever appeared in the relevant visual dimension to which subjects were attending. As for RS, trials in the fMRI study of VS were presented in four sessions each of 5-min duration. The event related analysis was centered on a comparison of BOLD signal after the switch and stay cues. In the fMRI version of the paradigm, the low probability of target presentation (20%) meant that the event-related fMRI analysis of the switching of sensory attention would be largely uncontaminated by response-related brain activity. The TMS study version of the paradigm, RT on the trials after switch and stay cues was the measured behavioral index of attention switching. In the TMS version, there was a very high probability of target presentation (80%) on the first trial following both stay and switch cues. This ensured sufficient data for analysis. Subjects were not told of variations in target presentation probability. The TMS study was conducted on a separate, subsequent day in a session of 600 trials. The switch and stay cues were the focus of the investigation. As in the RS paradigm, half of both types of cues were followed by a 5-Hz 4-pulse rTMS train applied over the dorsomedial frontal cortex area activated in the fMRI study (Fig. 2). It should be emphasized that the rTMS train was completed before the initiation of the first trial. The RTs for responses made on the first trial after stay or switch cues, either after rTMS or no rTMS, were recorded. Median RTs (average of 8-10 trials) for each category of trial (stay with no rTMS, stay with rTMS, switch with no rTMS, switch with rTMS) for each subject were then calculated. The RTs were tested with a two-way repeated-measures ANOVA. The first factor was Switch, with two levels corresponding to stay and switch trials. The second factor was TMS, with two levels TMS and non-TMS control.MRI ACQUISITION. Scanning was performed on a 1.5 T Siemens Vision magnet. The scanning procedure began with the acquisition of a T1 structural anatomical scan (80 slices at a thickness of 2 mm, 256 × 256 matrix size, TR = 22 ms, TE = 10 ms, flip angle = 30°, voxel size = 1 × 1 × 2 mm3). This was immediately followed by acquisition of four series of 120 gradient-echo images (20 slices of 5-mm thickness in the same orientation as the Sylvian fissure starting above the most dorsal cortex, 64 × 64 matrix size, TR = 2.441 ms, TE = 50 ms, flip angle =90°, voxel size = 5 × 5 × 5 mm3) of BOLD signal while subjects performed the behavioral tasks.
EVENT-RELATED FMRI DATA ANALYSIS.
All images were transformed into standardized stereotaxic space. This
was accomplished by using an automatic image-registration method
(Collins et al. 1994
) based on multi-scale
three-dimensional (3-D) cross-correlation with an average
(n = 305) MR image aligned with the Talairach
stereotaxic space (Talairach and Tournoux 1988
). The
transformation is linear, yielding three scaling factors for the width
(x axis), length (y axis), and height
(z axis) of the brain and effectively removing
inter-individual differences in brain size. BOLD signal images were
smoothed with a 3-D 6-mm (full-width half-maximum) Gaussian kernel,
corrected for head motion artifact and transformed into the same
standard stereotaxic space. The statistical analysis was carried out
with adapted in-house software (Worsely et al. 2000
)
using a method based on a linear model with correlated errors and a
random-effects analysis. Task-related brain activity was measured by
examining the BOLD signal following the switch and stay cues in the VS
and RS paradigms; the BOLD signal was convolved with a hemodynamic
response function that was modeled as a gamma-density function with a
mean lag of 7 s and a SD of 3 s (Zarahn et al.
1997
) timed to coincide with the onset of switch or stay cues.
Drift was removed by adding third-order polynomial covariates in the
volume acquisition times in the design matrix (which were not convolved
with the hemodynamic response function). Random effects T-statistical
maps of significant difference between cue related BOLD signals were
constructed by using a spatially smoothed (150mm full width
half-maximum Gaussian kernel) estimate of the random effects variance.
The t-statistical maps were then thresholded
(t > 4.75, P < 0.01;
t > 5.19, P < 0.001) in accordance with the Bonferonni correction for multiple comparisons (for the entire
20-slice brain-volume scanned) and nonisotropic random field theory
(Worsely et al. 1996
, 1999
).
TMS. A Cadwell high-speed magnetic stimulator and a 5-cm-diam Cadwell (Kennewick) figure-8 "cone" coil were used to administer rTMS. Each rTMS train was delivered as a 5-Hz sequences of four pulses. Intensity of stimulation was set to be 5% above the threshold for eliciting a visible twitch of the foot when the TMS was applied during mild dorsiflexion of the ankle in all subjects (subjects were instructed to dorsiflect at 10% of full force). TMS intensity was therefore set to be between 85 and 90% of the Cadwell stimulator's maximum output. The rTMS trains used in the experiment began 200 ms after the onset of the switch or stay cue.
Coil placement, in both VS and RS experiments, was guided by the position of dorsomedial frontal activation in each individual subject. Because it was soon apparent that rTMS over the pre-SMA significantly disrupted RS task performance, we also tested the effects of rTMS over a control site, 4 cm posterior to the pre-SMA. The control site stimulation was approximately over the site of the SMA (Fink et al. 1997Experiment 3: 10-Hz dorsomedial frontal TMS at cue and item periods
In this experiment, TMS was again applied over the dorsomedial frontal cortex while subjects performed both VS and RS paradigms. Although the experiment resembled the preceding TMS experiment, there were three important differences.
First, a higher rate of TMS, 10 Hz, rather than 5 Hz, was used in this
experiment. It is possible that the failure of TMS trains to impair
switching in the VS paradigm was due to the relatively slow rate of TMS
pulse presentation in that experiment. In experiment 3, the rate of TMS
pulse presentation was doubled. We (Hadland et al. 2001
)
and others (Harmer et al. 2001
) have shown that
10-Hz TMS, at or just above the motor threshold for visible movement of
the foot during dorsiflexion, is sufficient to elicit behavioral effects when applied over the dorsomedial frontal cortex.
Second, we employed longer testing sessions in experiment 3 so that it was possible to gather more data for each subject performing each condition. It was therefore possible to exclude incorrect responses from the RT analysis of the TMS effects in experiment 3.
Third, the effects of TMS were tested at two different time periods. In experiment 2, TMS was applied after some switch and stay cues (Fig. 2). In experiment 3, we again tested the effect of applying TMS after stay and switch cues, but we also tested the effect of applying TMS on presentation of the first task item after either a switch or a stay cue (Fig. 3). We have therefore referred to the two different times of TMS application as the cue (Fig. 2) and item (Fig. 3) periods.
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SUBJECTS. The effect of TMS during the cue period of the RS paradigm was studied in six subjects. The effect of the TMS during the item period of the RS paradigm was studied in six different subjects. The effect of TMS during the cue period of the VS paradigm was studied in six subjects. The effect of TMS in during the item period of the VS paradigm was studied in six different subjects. All subjects gave their informed consent before participation and the procedures were approved by the Central Oxfordshire Research Ethics Committee (reference No. C99.178).
BEHAVIORAL TASKS. The same RS and VS paradigms were used as in experiments 1 and 2. The sessions were longer than in experiment 2; subjects usually performed about 800 trials, although, if too many mistakes were made or if the randomized delivery of TMS occurred on too few occasions, then the number of trials was sometimes increased to 900 or 1,200 trials. The results for the RS and VS paradigms were analyzed separately using a between-subjects ANOVA approach similar to that used in experiment 1; within-subject factors of switch and TMS were used as before, and in addition, a between subject factor of period (with 2 levels corresponding to the cue or item periods) was used.
TMS. A Magstim (Whitland, Wales, UK) rapid high-speed magnetic stimulator and a Magstim double-cone coil were used to administer rTMS. The cue period rTMS consisted of a 1-s train at 10 Hz. Item period rTMS consisted of 0.5-s train at 10 Hz (some subjects began to respond within 0.5 s of task item presentation). The rTMS trains used in the experiment began with the onset of the switch or stay cue in the cue-period experiment or, in the case of the item-period experiment, 30 ms prior to the onset of the first task item after the switch or stay cue (in pilot experiments, we found that TMS trains that started co-incidentally with the item period stimulus onset caused some subjects to sometimes blink during presentation of the brief 15-ms target used in the VS experiment). Intensity of stimulation was set to 5% above the threshold for eliciting a visible twitch of the foot when the TMS was applied during mild dorsiflexion of the ankle in all subjects (subjects were instructed to dorsiflect at 10% of full force). TMS intensity was therefore set to be between 45 and 70% of the Magstim stimulator's maximum output.
Coil placement, in both VS and RS experiments, was determined as the position 5 cm anterior to the maximally excitable leg representation in the motor cortex (Hadland et al. 2001Experiment 4: 10-Hz dorsal premotor TMS at cue and item periods
Experiment 4 was conducted in a similar way to experiment 3. The main difference was that TMS was directed over the dorsal premotor cortex.
SUBJECTS. Five subjects were tested on two occasions in the RS paradigm. On each occasion TMS was either delivered in the cue period or in the item period. All subjects gave their informed consent before participation and the procedures were approved by the Central Oxfordshire Research Ethics Committee (reference No. C99.178).
BEHAVIORAL TASKS. The RS paradigm was used in the same way as in experiment 3. The analyses performed were the same as in experiment 3 except that the factor period was now a within-subject factor because the same subjects had been tested with both cue and item period TMS.
TMS.
A Mastim Rapid was used to apply 10-Hz TMS trains in either the cue or
item period as in experiment 3. Instead of a cone coil, however, a flat
70-mm Magstim figure-8 coil was used. Stimulation intensity was no
longer set with respect to the threshold for stimulating the leg area
on the medial wall because now the stimulation site was on the lateral
surface adjacent to the motor cortex representation of the hand area.
Instead stimulation intensity was set at 5% above the threshold for
eliciting a visible thumb twitch when the coil was placed over the
maximally excitable hand representation in the motor cortex. As before
the intensity was set to be appropriate for each individual subject
(normally between 50 and 70% of stimulator maximum output). To place
the coil over the dorsal premotor cortex, it was moved 2 cm anterior
and 2 cm medial to the motor cortex using procedures similar to those
previously described and those that we and others have shown leads to
placement of the coil in the vicinity of the superior branch of the
superior precentral sulcus (Praamstra et al. 1999
;
Schluter et al. 1998
, 1999
), and this was confirmed in
five of the subjects using the MRI-guided frameless stereotaxic
procedures described in the preceding text. The coil was held
tangential to the skull with the handle pointing backwards
approximately parallel to the mid-sagittal axis.
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RESULTS |
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Experiment 1: fMRI
RS.
In the scanner, switching was associated with a behavioral cost
measurable in reaction time (RT). Nine of the 10 RS subjects responded
more slowly on the first trial of a switch block (mean, 605 ms) than
they had on the first trial of a stay block (mean, 505 ms). The
difference was significant (Wilcoxon T = 0, n = 10, P = 0.008). There were
significant increases in BOLD signal on switching (switch-stay
comparison) in four medial frontal regions (Table
1, Fig.
4). All four activations
were in the left hemisphere. The most prominent activation had a peak
in or just posterior to the paracingulate sulcus (x =
10, y = 9, z = 53) and extended dorsally to cover the adjacent medial aspect of the superior frontal gyrus. We have therefore labeled this activation as pre-SMA. Two activations had peaks in the cingulate sulcus, approximately 2 cm
anterior and posterior the vertical plane at the anterior commissure (VCA plane), and were labeled as rostral and caudal cingulate zones (RCZ and CCZ). The fourth medial frontal activation was considerably more anterior, extended beyond the medial surface and was
labeled as frontal pole.
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VS.
In the scanner, switching was associated with a behavioral cost
measurable in RT. All eight VS subjects responded more slowly on the
first trial of a switch block (mean, 665 ms) than they had on the first
trial of a stay block (mean, 579 ms). The difference was significant
(Wilcoxon T = 0, n = 8, P = 0.012). Fewer medial frontal increases in BOLD
signal on switching (switch-stay comparison) were recorded in the VS
paradigm (Table 1, Fig. 4). There was a significant difference at just
two voxels in the cingulate sulcus (x =
2,
y = 21, z = 37) in the RCZ region. More
prominent was a more dorsomedial activation at the posterior end of the
paracingulate sulcus (x =
8, y = 3, z = 60), adjacent to that labeled pre-SMA in the RS
experiment. The peak activation in the VS task was more than 9 mm
(direct distance in 3-D space) from that recorded in the RS task. The
more dorsal and caudal (just anterior to the VCA plane) position of the
VS activation meant that it was not clear if it should be ascribed to
the SMA or pre-SMA. It was therefore described as "SMA/pre-SMA."
Experiment 2: 5-Hz dorsomedial frontal rTMS
RS. Figure 6 shows the target sites in the subjects taking part in the rTMS experiment. Figure 7 shows the co-registration of the TMS coil with the pre-SMA target area, using the frameless stereotaxic procedure in one subject.
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VS. Figure 6 shows the targets sites for the subjects taking part in the TMS experiment. The application of rTMS over the SMA/pre-SMA activation did not disrupt performance on either stay or switch trials (Fig. 8C). There was a general trend for subjects to perform slightly faster after rTMS although the effect did not approach significance.
Experiment 3: 10-Hz dorsomedial frontal TMS at cue and item periods
Figure 9 shows the TMS target sites
in a group of seven subjects as measured with the frameless stereotaxic
procedure. The average point of intersection of the coil trajectory
with cortex was at
7, 8, 64) (Talairach and Tournoux
1988
). Figure 9 also shows the co-registration of the TMS coil
with the pre-SMA target area in one example subject.
|
RS.
There was a significant main effect of applying TMS over the pre-SMA
site on subjects' subsequent RTs (F = 6.025, df = 1, 10, P = 0.034) and a significant main effect of
Switch (F = 21.364, df = 1, 10, P = 0.001). The effect of TMS depended on whether it was applied after a
switch or stay cue; there was a significant interaction between TMS and
Switch factors (F = 6.054, df = 1, 10, P = 0.034). In addition the effect of TMS depended on
whether it was applied in the earlier cue period or the later item
period; there was a significant three-way interaction among the factors of TMS, Switch, and period (F = 5.701, df = 1, 10, P = 0.038). From Fig.
10 (A and B) it
is clear that the statistical interactions were due to TMS having its
most disruptive effect when it was applied in the cue period after a
switch cue (compare
and
in Fig. 10A, right).
Subjects' RTs on the first trials after switch cues were a mean of 295 ms slower when rTMS had been given; this difference was significant
(1-tailed t = 2.499, df = 5, P = 0.028). RTs were slowed for all six subjects.
|
VS. As in the RS paradigm, in the VS paradigm there was also a significant main effect of Switch (F = 8.431, df = 1, 10, P = 0.016). There was, however, no significant main effect of TMS nor interaction between TMS and Switch factors. TMS and period factors did interact (F = 5.554, df = 1, 10, P = 0.040). From Fig. 10 (C and D) it is apparent that this is due to the fact that TMS tended to speed RTs when it was applied in the cue period (Fig. 10C), and it tended to slow RTs when it was applied in the item period (Fig. 10D), regardless of whether or not subjects were switching between sets. The TMS induced slowing in the item period was seen in half of individual subjects' data and was not significant. The TMS-induced facilitation in the cue period, which was similar to that observed in experiment 2, again varied between subjects and did not reach significance.
Experiment 4: 10-Hz dorsal premotor TMS at cue and item periods
Figure 11 shows the TMS target
sites in a group of five subjects as measured with the frameless
stereotaxic procedure. The average point of intersection of the coil
trajectory with cortex was at
36, 0, 64 (Talairach and
Tournoux 1988
). Figure 11 also shows the co-registration of the
TMS coil with the dorsal premotor target area in one example subject.
|
RS. As in the case of dorsomedial TMS during the RS task, TMS also had a significant effect when it was delivered over the dorsal premotor cortex (F = 15.2044, df = 1, 4, P = 0.018). In other respects, however, the results were different to the dorsomedial TMS results in experiments 2 and 3. First, although there was a significant main effect of Switch (F = 9.599, df = 1, 4, P = 0.036), it clearly did not interact with TMS (F = 0.005, df = 1, 4, P = 0.945) nor was there any suggestion of a three-way interaction of TMS, Switch, and period (F = 0.007, df = 1, 4, P = 0.935). On the other hand, again unlike dorsomedial TMS, there was a significant interaction between TMS and period (F =16.090, df = 1, 4, P = 0.016). From Fig. 12 (A and B) it is clear that dorsal premotor TMS slowed subjects performance when it was applied in the item period (Fig. 12B), regardless of whether or not subjects had just switched sets. All five subjects showed the same pattern of RT slowing when TMS was delivered in the item period, and the slowing was significant, both in the context of switching set (t = 3.869, df = 4, P = 0.018) or staying with the same set as previously (t = 4.002, df = 4, P = 0.0016). There was a slight and nonsignificant speeding of RT when TMS was delivered during the cue period.
|
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DISCUSSION |
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|
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In the present experiments, we used event-related fMRI to measure brain activity when subjects were performing identical tasks either in the context of a behavioral switch or in the context of a continuation of earlier performance. The context, switching-task set or staying with the current-task set, influenced medial frontal cortical activation; the medial frontal cortex is transiently activated at the time that subjects switch from one way of performing a task to another. The medial frontal activation was more extensive in the RS paradigm, which required intentional set switching and involved changing the rule for response selection and response conflict. One area of activation was probably in the pre-SMA. The application of rTMS over the pre-SMA disrupted RS performance but only on switch trials. The effect was most clear when the TMS was applied during the cue period when subjects engage in a prospective process of set re-configuration prior to actual performance of the new task. TMS over adjacent premotor regions did not have the same effect. TMS over the dorsal premotor cortex disrupted the selection of individual task responses, but it did not affect wholesale task set reconfiguration. The results suggest a transient but essential role for the pre-SMA in intentional set switching that can be dissociated from the role of the dorsal premotor cortex in selecting individual, specific responses. An area at the SMA/pre-SMA border was the only medial frontal area activated in the VS paradigm, which entailed attentional set switching between rules for stimulus selection and stimulus conflict. The application of rTMS over the SMA/pre-SMA border, at the same time (after the switch cue), did not disrupt performance of VS. There was some equivocal evidence for an effect of medial frontal TMS at the later time period (the item period) when subjects were actively performing the task, but the effects were not specific to switching trials and did not reach statistical significance. The medial frontal cortex does not appear to play the same role in re-configuring attentional set in the VS task as it does in the RS task.
Location of switch-related activations in the medial frontal cortex
Switching in the RS task was associated with activation
changes in several medial frontal regions (Fig. 4). The locations of
the activations suggest that the attentional/task switching role of the
medial frontal cortex is closely tied to its motor role; three of the
activated regions, in the paracingulate and cingulate sulci, probably
correspond to medial premotor areas (Deiber et al. 1999
;
Fink et al. 1997
; Paus 2001
; Paus
et al. 1993
; Picard and Strick 1996
). There were
two activations in the cingulate sulcus, approximately 2 cm anterior
and 2 cm caudal to the VCA plane. These activations fall into premotor
regions that have been described as RCZ and CCZ (Deiber et al.
1999
; Picard and Strick 1996
). Task switching
was associated with BOLD signal decreases in both RS and VS in anterior
and in ventral subcallosal cingulate areas (Fig. 5). Such decreases are
consistent with models of cingulate cortex that emphasize its
functional heterogeneity (Devinsky et al. 1995
;
Koski and Paus 2000
; Paus et al. 1998
). The proposed cognitive functions of the cingulate cortex seem closely
related to its motor functions and depend on a relatively restricted
supracallosal region extending only a limited distance anterior to the
VCA plane in humans as is the case in monkeys (Rushworth et al.
2000
). The more anterior and ventral cingulate cortex
in both species may be more concerned with social and emotional processes (Bush et al. 2000
; Devinsky et
al. 1995
; Rushworth et al. 2000
).
The more dorsal medial frontal activation recorded in RS was in or just
posterior to the paracingulate sulcus. Activations in this region have
been recorded in a number of response switching or response conflict
paradigms (Pardo et al. 1991
; Paus et al. 1993
; Taylor et al. 1994
) although they have not
been labeled consistently. Crosson et al. (1999)
have
discussed the difficulty of deciding whether activations in this region
are in the pre-SMA or the cingulate cortex. In the present study,
although its peak was in a sulcus, the activation appeared to extend
dorsally into the medial aspect of the superior frontal gyrus. Because
of this, and in accordance with previous studies of this region
(Crosson et al. 1999
; Deiber et al. 1999
;
Picard and Strick 1996
; Sakai et al. 1998
,
1999a
,b
), the activation has been labeled as pre-SMA. Disbrow et al. (2000)
have compared the position of
fMRI-recorded BOLD signals with microelectrode recordings of activity
in the same task and found that the BOLD signal may be biased toward the position of local blood vessels. In the same way, the current fMRI-based estimate of the pre-SMA's position may be biased ventrally toward the vessels in and around the paracingulate sulcus.
VS was associated with definite activation in just one medial frontal
area in or just posterior and dorsal to the paracingulate sulcus (Fig.
4). The peak of this activation was 9 mm distant from the pre-SMA
activation recorded in RS. We have referred to this peak as SMA/pre-SMA
because of its position at the proposed boundary between the SMA and
the pre-SMA (Passingham 1995
; Picard and
Strick 1996
). Stephan et al. (1995)
suggested
that even within the SMA proper there is a division or transition
between a more anterior region, near the VCA plane, and a more
posterior region. It is tempting to identify the VS activation with
anterior SMA (see also following text). The certain conclusion that VS
and RS activated distinct areas in the anterior SMA and the
pre-SMA respectively awaits an intra-individual direct comparison of
the two paradigms with a higher resolution scanning method. It should be emphasized that the lack of medial frontal activation in VS cannot
be attributed to VS just being easier. Behavioral data gathered during
scanning and in previous experiments showed a similar RT cost for
switching in both VS and RS (Rushworth et al. 2001
;
M.F.S. Rushworth, R. E. Passingham, and A. C. Nobre, unpublished data); moreover, the VS task clearly activated other frontal areas, such as those in vicinity of superior precentral sulcus
(
35,
1, 69; 18,
13, 71;
26,
5, 61; 25,
2, 56; an example
can be seen in the top left quadrant of Fig.
4).
Attention to action vs. sensory attention
All three medial premotor areas activated in RS, RCZ, CCZ, and
pre-SMA, have previously been associated with response conflict and
attention to action and its consequences (Bench et al.
1993
; Botvinick et al. 1999
; Carter et
al. 1995
, 1999; Jueptner et al. 1997
;
Leung et al. 2000
; MacDonald et al.
2000
; Pardo et al. 1991
; Passingham
1998
; Paus et al. 1993
, 1998
;
Posner and DiGirolamo 1998
; Taylor et al. 1994
,
1997
; Turken and Swick 1999
). Because of the
complex nature of the tasks used in some of these studies; however, it
is not always clear that conflict is occurring at the response level,
as opposed to an earlier sensory level; there is ambiguity about the
locus of conflict in Stroop (Stroop 1935
) and flanker
(Eriksen and Eriksen 1974
) paradigms (MacLeod
1991
). Confirmation of the importance of response rule
switching and conflict for activation of RCZ and CCZ came from the fMRI
results in the VS paradigm; there was no activation in CCZ, and just
two voxels of significant activation in the RCZ region, associated with switching.
The importance of response conflict for RCZ and CCZ activation is
consistent with a recent metanalysis of positron emission tomography
(PET) studies recording cingulate activation; Paus et
al. (1998)
found that blood flow changes in this region were associated with experiments involving fast manual responding. Turken and Swick (1999)
reported that a patient with a
restricted cingulate lesion was only impaired on the Stroop task when
responses were manual rather than vocal. The human RCZ and CCZ are
thought to be homologous with rostral and caudal cingulate motor areas (CMAs) in the macaque monkey brain (Dum and Strick 1993
;
Shima et al. 1991
). All the CMAs have direct connections
with the spinal cord and the motor cortex (Dum and Strick 1991
,
1996
; He et al. 1995
; Lu et al.
1994
; Luppino et al. 1991
).
Exactly which aspect of the response demands of a task are critical for
activating the cingulate sulcal regions remains to be elucidated. It
has been suggested that the cingulate may play a critical role in
monitoring responses, perhaps for errors (Bush et al.
2000
; Carter et al. 1998
;
Dehaene et al. 1994
; Luu et al. 2000
;
MacDonald et al. 2000
). Single-cell, field recording,
and muscimol inactivation studies in the monkey have provided evidence consistent with this hypothesis (Gemba et al. 1986
;
Shima and Tanji 1998
). It is possible that subjects in
the present experiments might have monitored their own responses for
errors in the context of a response set switch. It should be noted,
however, that the cingulate BOLD increases cannot reflect the actual
commission of errors; very few errors were made in the fMRI scanner
(only 1-4% of trials were error trials across all subjects), and
these were not more frequent on switch block trials.