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The Journal of Neurophysiology Vol. 88 No. 4 October 2002, pp. 2047-2057
Copyright ©2002 by the American Physiological Society
s
Piettre,11Unité Mixte Université Joseph Fourier, Institut National de la Santé et de la Recherche Médicale 438, Laboratoire de Recherche Correspondant Commissariat à L'Energie Atomique, 38043 Grenoble, France; and 2Institut des Sciences Cognitives, Centre National de la Recherche Scientifique et Université Claude Bernard, Unité Mixte de Recherche 5015, 69675 Bron, France
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ABSTRACT |
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Simon, Stéphane R.,
Martine Meunier,
Lo
s Piettre,
Anna M. Berardi,
Christoph
M. Segebarth, and
Driss Boussaoud.
Spatial Attention and Memory Versus Motor Preparation: Premotor
Cortex Involvement as Revealed by fMRI.
J. Neurophysiol. 88: 2047-2057, 2002.
Recent studies in both
monkeys and humans indicate that the dorsal premotor cortex
participates in spatial attention and working memory, in addition to
its well known role in movement planning and execution. One important
question is whether these functions overlap or are segregated within
this frontal area. Single-cell recordings in monkeys suggest a relative
specialization of the rostral portion of dorsal premotor cortex for
attention and/or memory and of the caudal region for motor preparation.
To test whether this possibility also holds true in humans, we used
functional magnetic resonance imaging (fMRI) to compare, in the same
set of subjects, brain activation related to strong spatial attention and memory demands to that elicited by long motor preparatory periods.
The behavioral protocol was based on a task that had proved effective
for dissociating neuronal properties related to these two functions in
the monkey brain. The principle of the monkey task was that a first cue
guided the focus of spatial attention and memory, whereas a second one
instructed an arm movement. Based on this principle, two tasks were
developed. One maximized spatial attention and memory demands by
presenting long series of stimuli (4, 8, or 12) before the motor
instructional cue, whereas the other extended the motor preparation
phase by imposing long and variable delays (1-5.5 s) between the onset
of the instructional cue and movement execution. The two tasks and
their respective control conditions were arranged in two blocked-design
sequences. The results indicate that the brain networks underlying the
two functional domains overlap in the caudate nucleus and
presupplementary motor area, and possibly in lateral prefrontal cortex
as well, but involve different dorsal premotor fields. Motor
preparation primarily recruited a dorsal premotor area located
caudally, within the precentral gyrus (together with the supplementary
motor area), whereas spatial attention and memory preferentially
activated a more rostral site, in and anterior to the precentral sulcus (in addition to the posterior parietal cortex). These findings strengthen the idea that the primate dorsal premotor cortex contributes to both motor and nonmotor processes. Moreover, they corroborate emerging evidence from monkey physiology suggesting a relative functional segregation within this cortex, with attention to short-term storage of visuospatial information engaging a more rostral region than
motor preparation.
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INTRODUCTION |
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There is a general agreement that the dorsal premotor cortex (PMd)
in primates plays a major role in the selection, planning, and
execution of voluntary movements (for reviews, see Caminiti et al. 1998
; Wise et al. 1997
). This idea was
first derived from observations of brain-damaged patients and from
monkeys with experimental lesions (Halsband and Freund
1990
; Kurata and Hoffman 1994
; Passingham 1993
; Petrides 1986
). It has been supported by
numerous physiological studies in monkeys (Caminiti et al.
1991
; Crammond and Kalaska 2000
; di
Pellegrino and Wise 1993
; Fu et al. 1995
;
Kurata and Hoffman 1994
; Riehle and Requin
1989
; Weinrich and Wise 1982
) and recently
confirmed by brain imaging investigations in humans (Deiber et
al. 1996
, 1997
; Grafton et al. 1998
;
Kawashima et al. 1994
; Lee et al. 1999
;
Richter et al. 1997
; Toni et al. 1999
, 2001
; van Oostende et al. 1997
).
Accumulating evidence indicates, however, that in addition to its
well-established motor function, the primate premotor cortex plays a
role in nonmotor processes such as spatial attention and working
memory. On the one hand, human imaging studies targeting either spatial
attention or working memory have repeatedly reported activation in the
premotor cortex (e.g., Corbetta et al. 1998
; Coull and Nobre 1998
; Courtney et al.
1998
; D'Esposito et al. 1998
; Kawashima
et al. 1998
; Petit et al. 1996
, 1998
;
Stern et al. 2000
). On the other hand,
neurophysiological experiments in monkeys have identified in PMd a
substantial proportion of cells whose activity reflects spatial
attention and/or memory in addition to the large population of cells
with motor preparatory properties (Boussaoud and Kermadi
1997
; Boussaoud and Wise 1993a
,b
; di
Pellegrino and Wise 1993
; Lebedev and Wise
2001
).
In light of these data, one important question is whether
attentional/mnemonic and motor functions overlap within PMd, or whether
they are carried out by distinct subregions. Recent neurophysiological findings in monkeys (Boussaoud 2001
; Lebedev and
Wise 2001
) suggest that attention/memory related activity is
more frequent in the rostral portion of PMd (PMdr), whereas motor
preparatory activity is predominant in the caudal portion
(PMdc). By contrast, no experiment in humans has directly compared
premotor contribution to these functions in the same group of subjects.
To this aim, we used functional magnetic resonance imaging (fMRI) in
healthy subjects and a behavioral protocol adapted from a task designed
in an earlier series of studies (Boussaoud 2001
;
Boussaoud and Kermadi 1997
; Boussaoud and Wise
1993a
,b
) to dissociate attentional/mnemonic from motor
preparatory neuronal activity in the monkey brain.
The principle of the monkey task was that the animal had first to
attend to and remember the location of a spatial attentional/mnemonic (SAM) stimulus, and a motor instructional/conditional (MIC) cue appeared later to guide the direction of its subsequent arm movement. In some trials, the SAM stimulus and the MIC cue were physically identical
identical in all spatial coordinate systems and visual attributes
but differed in their behavioral significance. The first
affected spatial attention and/or memory, whereas the second instructed
a motor act. Single-cell recordings during these trials (Boussaoud and Kermadi 1997
; Boussaoud and Wise
1993a
,b
) demonstrated that although the activity of numerous
premotor neurons (70%) expectedly reflected motor preparation, a
substantial proportion (30%) of premotor cells were specifically
active in relation with spatial attention/memory. Furthermore, the
distribution of SAM-related and MIC-related neurons within PMd was
found to differ between rostral and caudal divisions of PMd
(Boussaoud 2001
), with the former more frequent in PMdr
(38% vs. 23%) and the latter more predominant in PMdc (65% vs.
38%).
Based on the SAM/MIC principle of the monkey task, two paradigms were developed for this study. One was designed to maximize spatial attention and memory demands by increasing the number of SAM stimuli preceding the MIC cue, and the other to extend the motor preparation phase by imposing long and variable delays between MIC presentation and movement execution. The two tasks and their respective baselines were arranged in two blocked-design sequences termed the spatial attention and memory paradigm (SAMP) and motor preparation paradigm (MPP). To directly compare the premotor regions engaged in these two functional domains, a single group of well-trained subjects consecutively performed the two paradigms while undergoing functional scanning. On the basis of neurophysiological data in monkeys, we hypothesized that spatial attention/memory and motor preparation will engage distinct regions within PMd.
Like the monkey task, the present paradigms did not involve eye
movements; SAM and MIC cues appeared at the periphery of the visual
field while subjects maintained their gaze on a central fixation point.
However, the human frontal eye field (FEF) is known to be activated
even by attentional tasks devoid of eye movements (Beauchamp et
al. 2001
; Corbetta et al. 1998
; Nobre et
al. 2000
), and unlike its monkey counterpart, is thought to lie
within rather than rostral to the premotor strip (Paus
1996
; Tehovnik et al. 2000
). We therefore
submitted a subset of subjects to an oculomotor control paradigm to
evaluate FEF contribution to the activation pattern induced by our
spatial attention and memory paradigm. The data reported in this paper
have been presented earlier in abstract form (Simon et al. 2000
,
2001
).
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METHODS |
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Subjects and setup
Ten healthy volunteers were studied (6 males, 4 females; mean
age 29 ± 10 yr). All subjects were strongly right-handed, as assessed by a French adaptation of the Edinburgh Handedness Scale (Oldfield 1971
). Experiments were conducted with the
understanding and consent of each subject.
Visual stimuli were generated by a Power Macintosh 9600 computer
(Apple, Cupertino, CA) using Psyscope V1.2.2 software (Carnegie Mellon
Department of Psychology; Cohen et al. 1993
). They were presented using a video projector (Eiki LC 6000; Eiki Industrial Co.
Ltd., Osaka, Japan), a projection screen fixed on the back of the
magnet, and a mirror placed atop of the head coil. The SAM stimulus
consisted of one white square (1.4° × 1.4°) presented at one of
eight predefined locations equidistant from the screen center (2 per
quarter of the visual field, positioned at 29° and 44° with respect
to the vertical meridian). The MIC cue was composed of two adjacent
squares (with a collinear diagonal, see Fig. 1), one green and one red
(1.4° × 1.4° each), one of which was at the location of the
immediately preceding SAM stimulus. A central white cross (0.7° × 0.7°) served as a fixation point, except during MIC presentation. All
stimuli were presented on a dark background. Subjects responded by
pressing one of two keys positioned under their right index and middle
fingers. The computer was used for both stimulus presentation and data
acquisition (key presses and response times) in real-time.
SAMP and MPP
Each of the two "block" paradigms alternated three task and three control epochs of equal duration and lasted a total of 7.8 min. Switching between epochs was signaled by a 1-s text instruction. All variable parameters (colors, locations, delays, and responses) followed a counterbalanced pseudo-random order across trials ensuring matching sensory-motor demands in the task and control conditions of each paradigm. In all testing conditions, subjects were required to maintain their gaze on the central fixation cross during the entire duration of an epoch, and correct responses were guided by the same arbitrary associative rule, where red instructed to respond with the index finger and green with the middle finger.
SAMP. For both SAMP task and control conditions (Fig. 1A), a series of 4, 8, or 12 SAM stimuli was presented for 0.5 s, separated by variable delays of 1.25, 1.5, 1.75, or 2 s; then, the MIC cue was presented for 1.5 s, and the white fixation cross simultaneously turned either green or red. The actual lengths of the series of SAM stimuli were unknown to the subject. For SAMP task condition, subjects had to determine which of the two squares composing MIC occupied the location of the last SAM stimulus, identify its color, and respond according to the arbitrary rule indicated above. For SAMP control condition, subjects were asked to focus on the white fixation cross and respond as soon as it turned green or red, following the same conditional rule. Therefore the sensory input, motor output, gaze direction, and associative rule guiding behavior were identical in SAMP task and control. The difference was that, during the task, the subjects had to attend to and remember each of the successive peripheral positions of the SAM stimulus (while fixating the central cross) and form a spatial matching judgment, whereas during the control, attention was focused on the center of the screen, and spatial memory was not required. Each epoch comprised four trials, one with 4, two with 8, and one with 12 SAM stimuli, arranged in a counterbalanced order across epochs. As a result, the amount of scanning time devoted to spatial attention/memory in the task condition was approximately 12-fold longer than that devoted to motor preparation.
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MOTOR PREPARATION PARADIGM (MPP). For both MPP task and control conditions (Fig. 1B), a single SAM stimulus was presented for 0.25 s, followed by a 0.25-s delay; then, the MIC cue was presented for variable periods of time (1, 2, 3, 3.5, 4, 4.5, 5, or 5.5 s), followed by a 0.7-s inter-trial interval. The fixation cross was either green or red during MIC presentation, turning white again at MIC offset. For both MPP task and control, responses were determined by the color of the MIC square that occupied the position of the SAM stimulus. For the task, subjects were told to select and prepare their movement at MIC onset, but to withhold its execution until MIC offset (and concomitant return of the white cross, this additional go signal allowing covert attention to shift back to the screen center during preparatory periods); in addition, subjects were explicitly instructed not to actually move their finger before the go signal and to refrain from verbally rehearsing the associative rule or the name of the correct color or finger. For the control, subjects were asked to respond immediately after MIC onset and to then resume attending to the fixation cross. Thus the perceptual input, motor output, associative rule, gaze direction, and attentional shifts were identical in the two MPP conditions. The difference was that the motor preparation phase was much longer during the task than during the control. Sixteen trials were performed per epoch. Thus the amount of scanning time devoted to motor preparation in the task condition was approximately 8-fold longer than that devoted to spatial attention/memory.
Prior to scanning, all subjects were trained on the different tasks until they reached a performance of
90% correct responses, associated with stable reaction times. Feedback was provided during the
practice sessions, but not during scanning.
Oculomotor control paradigm
Three of the 10 subjects were submitted to an oculomotor paradigm in a separate "block," alternating three task and three control epochs for a total of 7.8 min. This paradigm was strictly identical to the SAMP paradigm described above except that, during the task condition, subjects were asked to make an ocular saccade to each SAM stimulus and resume fixation of the central cross.
MR acquisition
For all subjects, two fMRI examinations were performed during a single experimental session, one for SAMP and one for MPP, with the order of the two paradigms counterbalanced across subjects. Three of the 10 subjects were submitted in addition, at the end of the scanning session, to the oculomotor paradigm. Measurements were performed at 1.5 Tesla on a clinical MR imager (Philips NT, Best, The Netherlands). The body coil was used for excitation while the head coil was used for detection. A volume composed of 25 slices (slice thickness = 4 mm) parallel to the anterior commissure-posterior commissure (AC-PC) axis was measured 24 times during each epoch. The volume encompassed the whole brain except the posterior lobe of the cerebellum. Positioning of the volume was performed on scout images acquired in the sagittal plane. The volume was measured twice in a dummy fashion prior to testing, so that system stability could be achieved. The functional scans were performed by means of a gradient-recalled echo, echo-planar imaging MR sequence. T2*-weighted images were acquired. The major MR sequence parameters were as follows: repetition time (RT) = 3700 ms, echo time (ET) = 45 ms, pulse angle = 90°, acquisition matrix = 64 · 64, field-of-view = 256 · 256 mm2, and in-plane resolution = 4 mm. Prior to acquisition, a chemically selective radio frequency (RF) pulse was applied to suppress the signals from fat. Finally, a high-resolution three-dimensional T1-weighted MR scan was acquired to provide anatomical information about the volume examined functionally.
Image processing and statistical analysis
Data analysis was performed using statistical parametric mapping
(SPM)-96 software (Wellcome Department of Cognitive Neurology, London, UK; see Friston et al. 1995a
) running on a Unix
workstation under the MATLAB environment (Mathworks, Sherbon, MA). MR
images were subjected to three preprocessing steps. All images within a
functional scan were first realigned by means of a rigid body transformation for motion correction (Friston et al.
1995b
). Then, the anatomical volume was spatially normalized
using as template a representative brain from the MNI series (Montreal
Neurological Institute, Quebec, Canada; Evans et al.
1993
) and linear transformations (Friston et al.
1995b
); these normalization parameters were subsequently applied to the functional images. Finally, the functional images were
spatially smoothed with an isotropic Gaussian kernel of 6 mm width.
Statistical contrasts were performed both individually for each subject
and for the overall group of subjects using the general linear model
(Friston et al. 1995a
; Worsley and Friston
1995
; Worsley et al. 1992
). Clusters of
activated voxels were then identified on the basis of the intensity of
the individual responses and the spatial extent of the clusters
Statistical significance thresholds were established at
P = 0.001 for individual voxels and at
P = 0.05 (corrected for multiple comparisons) for
cluster size (corresponding to a minimum of 11 voxels). Single
subtraction contrasts were first computed separately for SAMP and MPP
to localize brain regions engaged in the spatial attention/memory and
motor preparation tasks relative to their respective controls. To
identify the brain areas that were equally active in both tasks, a
conjunction analysis was performed (Price and Friston
1997
). This SPM conjunction analysis summed the two paradigms
[(SAMP task + MPP task)
(SAMP control + MPP control)] and
removed the voxels, showing a significant interaction across paradigms.
The resulting activation map was masked (P < 0.001)
with the two single (task
control) contrasts to ensure that all
voxels identified by the conjunction analysis were significantly active
in both paradigms. To identify the areas preferentially involved in
SAMP, an interaction analysis was performed. This analysis summed the
two paradigms and retained the voxels for which the (task
control) contrast was significantly larger for SAMP than for MPP. The
resulting activation map was masked by SAMP contrast to ensure that
effects due to MPP negative activation were excluded. A similar
interaction and masking procedure was used to identify the brain
regions that were preferentially involved in MPP. Two additional
analyses were carried out for the three subjects who performed the
oculomotor control paradigm. First, we used the interaction and masking
procedure to identify the areas whose activation was significantly
greater for the oculomotor control paradigm than for SAMP. Then, a
single subtraction contrast was performed to determine the pattern of
activation elicited by SAMP in this particular subset of subjects. For
all analyses, coordinates of the activated brain areas in the MNI
system of reference were transformed into the Talairach and Tournoux
stereotaxic space (Talairach and Tournoux 1988
), using
the following equations: xT = 0.88xMNI + 0.8;
yT = 0.97 yMNI
3.32;
zT = 0.05yMNI + 0.88zMNI
0.44.
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RESULTS |
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Behavioral data
The accuracy and reaction time data recorded during fMRI
examination are provided for each paradigm and each condition in Table
1. The 10 subjects included in the study
scored above 90% correct responses in all four testing conditions. A
2 × 2 repeated measures ANOVA on accuracy scores yielded a
marginal paradigm effect [F(1,9) = 5.2, P = 0.05], reflecting the subjects' slightly reduced
accuracy in SAMP task relative to MPP task [paired t-test with Bonferroni adjusted probability
(pB): t(9) = 2.6, pB = 0.17]. However, the lack of
significant condition or interaction effect indicated that, within each
paradigm, subjects were comparably accurate for the task and control
conditions (hence, fMRI activation patterns are unlikely due to
different difficulty levels across conditions). A 2 × 2 repeated
measures ANOVA on reaction times revealed a significant paradigm × condition interaction [F(1,9) = 162, P < 0.001], which confirmed within-paradigm intended
differences. Namely, for SAMP, reaction times were longer for the task
than for the control [t(9) =
8.4,
pB < 0.001], since only the former required a spatial matching judgment before movement execution. The
reverse was true for MPP [t(9) = 13.7, pB < 0.001], thereby indicating that
the subjects did take advantage of the extended delays to prepare
movement execution during the task.
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fMRI activation data
Brain regions engaged by the spatial attention/memory and motor preparation tasks relative to their respective controls are illustrated in Fig. 2A and listed in Tables 2 and 3, respectively. Direct comparison of the premotor regions recruited by these two functional domains is provided by the results of the conjunction and interaction analyses, which are listed in Table 4 and illustrated, respectively, in Fig. 2, B and C-D. Finally, lateral premotor activation in the three subjects who performed the spatial attention and memory task both without (SAMP) and with (oculomotor control paradigm) eye movements, is reported in Table 5 and Fig. 2E.
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SAMP AND MPP MAIN EFFECTS.
The SAMP (task
control) contrast revealed a bilateral cortical
network of activation involving the lateral premotor cortex (in the
superior frontal and precentral sulci), medial premotor cortex
[rostral to the vertical plane passing through the anterior commissure
(VAC)], and inferior prefrontal cortex, as well as an extensive
portion of the posterior parietal cortex (intraparietal sulcus and
precuneus). By contrast, the cortical network outlined by the MPP
subtraction was restricted to the frontal lobe, including the lateral
premotor cortex bilaterally (posterior precentral gyrus), left primary
motor cortex (M1), medial premotor cortex (both rostral and caudal to
VAC), and the right middle and inferior prefrontal cortex. Subcortical
activation was observed bilaterally in the caudate nucleus for both
SAMP and MPP contrasts and in the right thalamus for MPP. An additional
ventromedial cluster of activated voxels, centered on the amygdala, was
found for MPP. This cluster should, however, be considered with great
caution since the AC-PC low-spatial resolution echoplanar imaging used here is known to result in artifactual activation in the ventromedial region of the brain (due to the vicinity of air-filled bony cavities at
the skull base; Merboldt et al. 2001
).
CONJUNCTION ANALYSIS: BRAIN REGIONS SIMILARLY ENGAGED IN BOTH
PARADIGMS.
According to this analysis, no lateral premotor area was similarly
recruited by the spatial attention/memory and motor preparation tasks.
Only two regions were identified as equally active in the two
paradigms: the right caudate nucleus and a midline area involving the
medial frontal gyrus and extending in the underlying cingulate sulcus,
at the rostral part of the activated foci. The site in the medial
frontal gyrus was located rostral to the VAC plane, thereby coinciding
with presupplementary motor area (pre-SMA; Picard and Strick
1996
).
INTERACTION ANALYSIS: BRAIN REGIONS PREFERENTIALLY ENGAGED IN SPATIAL ATTENTION AND MEMORY. This analysis revealed a SAMP-selective activation in the dorsal premotor cortex situated within the right superior precentral sulcus. The only other SAMP-selective activation was a widespread bilateral focus centered on the posterior intraparietal sulcus and precuneus, extending into the anterior intraparietal sulcus in the right hemisphere and into the parieto-occipital sulcus in the left hemisphere.
INTERACTION ANALYSIS: BRAIN REGIONS PREFERENTIALLY ENGAGED IN MOTOR
PREPARATION.
This analysis revealed a MPP-selective activation in the left
dorsal premotor cortex situated in the caudalmost portion of the
precentral gyrus, possibly extending into M1. The maximum Z-score of this MPP-selective left dorsal premotor
activation was located 8 mm posterior to that of the SAMP-selective
right dorsal premotor cortex activation (see Table 4). Except for a dubious amygdala activation, the only other MPP-selective activation focus was located in the medial premotor cortex, involving the medial
frontal gyrus caudal to the VAC plane (i.e., the SMA according to
Picard and Strick 1996
) and the cingulate sulcus.
OCULOMOTOR REGIONS AND SAMP ACTIVATION IN LATERAL PREMOTOR CORTEX.
The interaction analysis for three subjects identified a lateral
premotor site, located in and near the precentral sulcus (Table 5),
that was significantly more active when the spatial attention and
memory task was performed with saccades (oculomotor control paradigm)
than without saccades (covert shifts of attention, SAMP). The left
activation peak was more posterior and ventral than the right one
(Talairach y, z:
11, 42 vs.
3, 52), but both peaks remained within the range of published coordinates for the human
FEF, which includes y, z:
19, 47 (Petit et al.
1997
),
8, 54 (Beauchamp et al. 2001
), and
6-1, 44-51 (Paus 1996
). When superimposed to the
SAMP activation map for the same three subjects (Fig. 2E),
saccade-related activation on the right hemisphere overlapped with the
caudal portion of SAMP premotor activation, whereas the left hemisphere
activation was found largely caudal and ventral to it.
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DISCUSSION |
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The present experiment was designed to compare, in the same subjects, the involvement of the dorsal premotor cortex in two functional domains: spatial attention and memory and motor preparation. The key finding was that each of these domains recruited a different region within the dorsal premotor cortex, as predicted from monkey physiology. The motor preparation paradigm preferentially engaged a caudal portion of PMd, located in the precentral gyrus, whereas the spatial attention/memory paradigm preferentially activated a more rostral region, in and anterior to the precentral sulcus. Outside the lateral premotor cortex, the pre-SMA and caudate nucleus were found to be activated during both paradigms, whereas the parietal cortex was selectively activated by spatial attention/memory, and the SMA by motor preparation. In this section, we will first evaluate insights provided by each paradigm relative to earlier imaging studies of either spatial attention/memory or motor preparation; then, we will turn to evidence from nonhuman primates to discuss the neuroanatomical overlap and segregation of these two functional domains.
SAMP
A considerable number of earlier neuroimaging studies have
explored the neural bases of short-term maintenance of spatial information in working memory (see e.g., Haxby et al.
2000
; Smith and Jonides 1999
, for reviews), or
those of spatial attentional shifts, whether overt or covert (i.e.,
with or without ocular saccades; see e.g., Beauchamp et al.
2001
; Corbetta et al. 1998
; Coull and
Nobre 1998
; Kawashima et al. 1998
; Nobre
et al. 2000
; Petit et al. 1996
). All these
studies emphasize the involvement of a distributed parieto-frontal
network which resembles that yielded by the (task
control)
subtraction in our (covert) spatial attention and memory paradigm. This
network includes the dorsal premotor cortex, as well as the
intraparietal sulcus and precuneus, the lateral prefrontal cortex, and
the pre-SMA and underlying cingulate sulcus (for pre-SMA/SMA
distinction in monkeys and humans, see Tanji 1994
and
Picard and Strick 1996
, respectively).
In dorsal premotor cortex, SAMP activation occupied a large area
involving both the superior precentral and superior frontal sulci.
Since our task purposely conflated covert attentional shifts and
working memory (which are both stimulus-oriented as opposed to
movement-oriented), the respective contribution of each function cannot
be determined. However, the results of our oculomotor control paradigm
converge with previous imaging data to suggest that SAMP activation
encompassed at least two different subregions. Imaging studies of eye
movements have localized the human FEF to the superior precentral
sulcus (e.g., Lobel et al. 2001
; Paus
1996
; Rosano et al. 2002
) and demonstrated that
it is activated not only by actual saccades, but also by covert
attentional shifts (Corbetta et al. 1998
;
Gitelman et al. 1999
), albeit to a lesser magnitude (Beauchamp et al. 2001
). Accordingly, SAMP activation in
lateral premotor cortex was found to overlap with areas whose activity was increased by ocular saccades, particularly in the right hemisphere. Nevertheless, SAMP activation largely extended, in both hemispheres, into the adjacent superior frontal sulcus or gyrus. This region coincides with the focus, rostrally distinct from FEF, reported by
previous imaging studies using tasks that require item maintenance in
spatial working memory (e.g., Courtney et al. 1998
;
LaBar et al. 1999
; Merriam et al. 2001
;
Pochon et al. 2001
; Rowe and Passingham 2001
; Rowe et al. 2000
). Taken together, the
present and earlier findings suggest that SAMP activation in lateral
premotor cortex involved the FEF, at least partly, but engaged in
addition, a rostrally adjacent subregion contributing to memory,
attention, or both. This conclusion is consistent with recording data
in monkeys demonstrating attentional/mnemonic neural properties in rostral PMd, a region that is clearly separate from the FEF
(Boussaoud 2001
; Lebedev and Wise 2001
).
Notwithstanding the above limitation, our results strengthen other
authors' conclusions (Smith and Jonides 1999
;
Ungerleider et al. 1998
) that the dorsal premotor
activation that has routinely been described in spatial attention or
memory imaging studies cannot be dismissed as reflecting incidental
motor processes. SAMP control condition provided a stringent baseline
that was equated with the task for motor components. First, movement
selection and preparation occurred at the same time and followed the
same rule in task and control. Second, the two conditions necessitated the execution of an equal number of index and middle finger responses. Third, motor preparedness (i.e., general readiness to select, prepare,
and execute a movement) was similarly present in both conditions. As a
result, all motor processes were presumably subtracted in our paradigm,
and the resulting dorsal premotor activation can reasonably be
considered as reflecting on-line covert attentional shifts and/or
short-term maintenance of visuospatial information relevant for action.
MPP
In this study, activation related to motor preparation was
assessed by comparing deferred versus immediate execution of a single
visually instructed finger movement. The subjects' markedly faster
reaction times during MPP task relative to control (average gain of
time: 283 ms) demonstrated that motor preparation did occur during the
extended delays. MPP (task
control) contrast outlined a frontal
cortical network including the caudal portion of the dorsal premotor
cortex, bilaterally, the primary motor cortex contralateral to the
moving finger, and the medial premotor cortex (both the pre-SMA and SMA
regions and the underlying cingulate sulcus). These three motor regions
were also found to be activated in previous studies of protracted motor
preparation of a single visually guided movement using positron
emission tomography (Deiber et al. 1996
; Krams et
al. 1998
; Rushworth et al. 2001
), or
event-related fMRI (Lee et al. 1999
; Toni et al.
1999
). However, unlike earlier studies, we found a
circumscribed dorsal premotor activation, centered on the caudal
portion of this cortical region, and we did not observe any significant
activation in the parietal cortex. These differences may be due to
particularities of the present behavioral paradigm.
Since our objective was to distinguish premotor involvement in
attention/memory versus movement preparation, the MPP subtraction was
specifically designed to exclude all the stimulus-related components
inherent in delayed visually guided responses. First, visuospatial
input was strictly identical in MPP task and control. Second, the
subjects' gaze and attention were similarly focused on the central
cross during the task's long preparatory periods and corresponding
control intervals. Third, to avoid taxing working memory (i.e.,
retrospective stimulus representation, as opposed to the targeted
prospective movement coding), the instructing stimulus (MIC) remained
present during the entire preparatory period, and subjects were
explicitly asked to refrain from verbal rehearsing (a pilot
investigation having shown that some subjects spontaneously favored
this strategy despite MIC continuous presence). The present protocol
therefore contrasts with the studies listed above, which generally used
brief stimulus presentation followed by "empty" delays during which
the subjects' activity was unclear. For example, in their event fMRI
study of delayed finger movements, Toni et al. (1999)
used briefly presented (300 ms) cues followed by 1.28- to 12.8-s
delays. This protocol yielded two distinct dorsal premotor activation
foci. The posterior one was related to the movement, consistent with
the present results, but the anterior one showed complex signal-,
delay-, and movement-related responses, which may reflect unintended
recruitment of attentional and/or mnemonic processes. Such recruitment
could also explain the supra-threshold involvement of parietal cortex
reported in earlier studies, a hypothesis supported by the result of
the present interaction analysis which identified the parietal
activation as SAMP-selective.
Overlap of spatial attention/memory and motor preparation outside the dorsal premotor cortex
Superimposition of SAMP and MPP activation maps yielded a
minimal overlap in the right lateral prefrontal cortex (in the inferior frontal gyrus), and a more extensive one in the caudate nucleus and
pre-SMA. The equal involvement of the two latter regions in both tasks
was further confirmed by a conjunction analysis. These regions
therefore seem to contribute to both spatial attention/memory and motor
preparation, without any obvious regional specialization detectable at
the voxel level of resolution, at least for the simple expression of
these functions measured here, that is, on-line maintenance of a single
spatial location and preparation of a single finger movement. The
overlap of functions observed in the lateral prefrontal cortex and
striatum is in agreement with neurophysiological recordings in monkeys
showing that neurons in these two structures possess both
attentional/mnemonic and motor preparatory properties (Boussaoud
and Kermadi 1997
; Boussaoud and Wise 1993a
,b
;
di Pellegrino and Wise 1993
; Lebedev and Wise
2001
; Quintana and Fuster 1999
). Regarding
prefrontal cortex, the present results also confirm those of the only
previous imaging study that, to our knowledge, has compared sensory
memory for a single item versus motor preparation of a single movement
in the same set of subjects (D'Esposito et al. 2000
).
Indeed, as in the present study, no regional selectivity for one or the
other function was found in lateral prefrontal cortex. Finally, the
difference between the pre-SMA, which was active in both paradigms, and
the SMA, which was preferentially involved in MPP, corroborates earlier
imaging data indicating that both areas contribute to motor control
(e.g., Lee et al. 1999
), whereas only the pre-SMA
participates in working memory (e.g., Petit et al.
1998
). Our results also fit well with current models positing a
functional caudo-rostral continuum from motor to cognitive functions in
medial premotor regions (Picard and Strick 1996
;
Tanji 1996
), akin to that proposed below for the lateral
aspect of premotor cortex.
Segregation of spatial attention/memory and motor preparation in PMd
In monkeys, a large body of data indicates that PMd is not a
homogeneous area. Anatomically, Barbas and Pandya (1987)
have divided PMd into a rostral region (PMdr, approximately
corresponding to F7 in Matelli et al. 1985
) and a caudal
one (PMdc or F2). These two subregions are in receipt of different
signals from the posterior parietal cortex. In particular, only PMdr
receives strong inputs from visual areas of the parieto-occipital
region, which seems important for detection of peripheral targets
(Marconi et al. 2001
; Matelli et al.
1998
; Shipp et al. 1998
; Tanné et
al. 1995
). In addition, PMdr is the primary target of
prefrontal and FEF inputs, whereas PMdc is the main source of
projections to the primary motor cortex and spinal cord (Barbas
and Pandya 1987
; Dum and Strick 1991
; He
et al. 1993
; Johnson et al. 1996
).
Accordingly, intracortical microstimulation was found to evoke saccades
in PMdr, and arm or body movements in PMdc (Fujii et al.
2000
). Thus PMdr is linked to regions known to contribute to
memory and spatial attention (which is tightly linked to eye movements,
see e.g., Beauchamp et al. 2001
), and can in turn affect
motor control via its connections with PMdc (Barbas and Pandya
1987
; J. Tanné-Gariépy, E. M. Rouiller, and D. Boussaoud, unpublished data).
Anatomical differences between the two subregions are paralleled by
differences in neuronal properties. Most PMdc cells are active during
arm movements toward a visual target but not during saccades to the
same target; by contrast, PMdr contains equal proportions of cells
coding saccades to the target, arm movements, or both (Fujii et
al. 2000
). It is also in PMdr that Lebedev and Wise
(2001)
found neurons coding the orientation of spatial
attention regardless of eye position, saccade direction, or hand
movement target. Finally, as mentioned in the
INTRODUCTION, recordings during a "SAM/MIC"
task, akin to the present MPP task, provided a direct comparison, in
the same population of neurons, of attentional/mnemonic (i.e.,
SAM-related) versus motor preparatory (i.e., MIC-related) properties
(see Boussaoud 2001
for review). The results
demonstrated that both types of properties were present in PMd, with a
higher proportion of attention/memory-related neurons in PMdr relative to PMdc.
In humans, it is not known which anatomical zones correspond to the
monkey PMdc and PMdr (Baleydier et al. 1997
;
Jackson and Husain 1996
; Roland and Zilles
1996
). Preuss et al. (1996)
proposed that PMdr
corresponds to area 6 in and rostral to the superior portion of the
precentral sulcus, while PMdc occupies much of the precentral gyrus
behind it. Our results fit particularly well with this proposal.
Indeed, spatial attention and memory activated a region encompassing
the superior precentral sulcus and the rostrally adjacent portion of
the superior frontal sulcus, whereas motor preparation recruited a more
posterior region located within the precentral gyrus. This relative
rostro-caudal specialization was confirmed by interaction analyses,
which identified a SAMP-selective focus in the right precentral sulcus
located 8 mm anterior to the MPP-selective focus identified in the left
precentral gyrus. These findings provide strong evidence in favor of a
parcellation of the human PMd parallel to that observed in monkeys.
They suggest, in addition, that in both species, this parcellation
underlies a similar functional segregation, with PMdc tightly
associated with the control of specific arm or body movements, and PMdr
playing a key role in orienting attention to and maintaining
visuo-spatial information relevant for goal-directed action, regardless
of the motor effector.
One difference, however, is that in the monkey, the PMdr region that
presents attentional/mnemonic neural properties is clearly distinct
from and posterior to both the FEF and the prefrontal cortex
(Boussaoud and Wise 1993a
,b
; Lebedev and Wise
2001
). By contrast, in humans, the region in the superior
frontal sulcus recruited by spatial attention and memory is anterior to
the functionally defined FEF, a location that makes its designation
ambiguous. Namely, some authors attribute it, as we did, to rostral
premotor area 6 (e.g., Pochon et al. 2001
for a
right focus at Talairach coordinates 27, 3, 51), and others to
prefrontal area 8 (e.g., Rowe and Passignham 2001
for a
bilateral focus at 28, 8, 60 and
18, 0, 56). The inaccuracy of
current methods for cytoarchitectonic labeling of activation foci (see
Brett et al. 2002
for an in-depth review) precludes
settlement of this issue, which is further complicated by the absence
of a sharp border between human areas 6 and 8 (Baleydier et al.
1997
). Our conclusion that the activation peaks observed for
SAMP (
20, 1, 49, and 29, 1, 56) lie in the human counterpart of the
monkey PMdr is thus proposed in a tentative way, pending the
development of more accurate localization methods (using probabilistic atlases or in vivo architectonic mapping of the human brain; see Brett et al. 2002
). This conclusion is nevertheless
congruent with monkey data showing that PMdr, but not area 8, lesions
disrupt performance on visuo-motor conditional tasks such as those used here (Petrides 1985
).
| |
ACKNOWLEDGMENTS |
|---|
We thank F. Hadj-Bouziane for thoughtful comments on an earlier version of the manuscript.
This study was supported by the Program Thématiques de la Région Rhône-Alpes. S. Simon was supported by the French Ministry of Research.
Present address of A. M. Berardi: Département de Psychologie, Université de Metz, 57045 Metz, France.
| |
FOOTNOTES |
|---|
Address for reprint requests: D. Boussaoud, Institut des Sciences Cognitives, 67 boulevard Pinel, 69675 Bron cedex, France (E-mail: boussaoud{at}isc.cnrs.fr).
Received 26 November 2001; accepted in final form 24 June 2002.
| |
REFERENCES |
|---|
|
|
|---|
a PET study.
Neuroreport
9:
1581-1586, 1998[Web of Science][Medline].This article has been cited by other articles:
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