The Journal of Neuroscience, June 1, 2003, 23(11):4689-4699
Previous Article | Next Article 
Functional Organization of Human Intraparietal and Frontal Cortex for Attending, Looking, and Pointing
Serguei V. Astafiev,1
Gordon L. Shulman,2
Christine M. Stanley,1
Abraham Z. Snyder,1,2
David C. Van Essen,3 and
Maurizio Corbetta1,2,3
1 Department of Radiology, Mallinckrodt Institute of Radiology, Washington
University School of Medicine, St. Louis, Missouri 63110,
2 Department of Neurology, Washington University School of Medicine, St. Louis,
Missouri 63110, and
3 Department of Anatomy and Neurobiology, Washington University School of
Medicine, St. Louis, Missouri 63110
 |
Abstract
|
|---|
We studied the functional organization of human posterior parietal and
frontal cortex using functional magnetic resonance imaging (fMRI) to map
preparatory signals for attending, looking, and pointing to a peripheral
visual location. The human frontal eye field and two separate regions in the
intraparietal sulcus were similarly recruited in all conditions, suggesting an
attentional role that generalizes across response effectors. However, the
preparation of a pointing movement selectively activated a different group of
regions, suggesting a stronger role in motor planning. These regions were
lateralized to the left hemisphere, activated by preparation of movements of
either hand, and included the inferior and superior parietal lobule,
precuneus, and posterior superior temporal sulcus, plus the dorsal premotor
and anterior cingulate cortex anteriorly. Surface-based registration of
macaque cortical areas onto the map of fMRI responses suggests a relatively
good spatial correspondence between human and macaque parietal areas. In
contrast, large interspecies differences were noted in the topography of
frontal areas.
Key words: fMRI; parietal cortex; frontal cortex; attention; eye movements; arm pointing
 |
Introduction
|
|---|
The functional organization of human posterior parietal cortex (PPC) and
its relationship to the PPC in the macaque monkey are primarily unknown. The
parietal lobe, as defined by conventional geographic landmarks, occupies
approximately one-fifth of the total neocortex in both humans and monkeys
(Van Essen and Drury, 1997
).
However, there is indirect evidence that the PPC in humans is preferentially
expanded compared with monkeys, given that neighboring occipital visual areas
[visual area 1 (V1), V2, and middle temporal (MT)] in the two species have
different geographic locations; V1 and V2 extend more laterally, and MT is
positioned more dorsally in macaques compared with humans
(Van Essen et al., 2001
). This
difference may be related to a relative expansion of the human inferior
parietal lobule and to development of new cortical fields (e.g., Brodmann 39,
40) (Brodmann, 1905
;
Eidelberg and Galaburda,
1984
). Alternatively, human and macaque PPC may share a similar
architectural plan, but human areas may be relatively enlarged
(Van Essen et al., 2001
). The
first hypothesis predicts a relative shift in the topographical position of
homologous areas to accommodate the presence of new areas in humans; the
second hypothesis predicts a good spatial registration of homologous areas in
the two species. Similar hypotheses can be explored for the frontal cortex
(FC), which is substantially expanded in humans (
36% of neocortex)
compared with macaques (
25% of neocortex)
(Brodmann, 1905
;
Walker, 1940
;
Van Essen and Drury, 1997
;
Petrides and Pandya, 1999
;
Van Essen, 2003
).
In an initial exploration of these hypotheses, we first studied the
distribution of preparatory signals in human PPC and FC for
"attention," rapid eye movements ("saccades"), and arm
movements ("pointing") using functional magnetic resonance imaging
(fMRI). Then, we compared the human functional maps with a map of
architectonic areas in the macaque brain that was deformed to the human cortex
using computerized registration of the cortical surfaces between the two
species.
We focused on preparatory signals because different regions in monkey PPC
and FC code for the planning of different types of movements and for shifts of
attention. The lateral intraparietal area (LIP), located on the lateral bank
of the intraparietal sulcus (IPS), is relatively more active when a monkey
prepares to look at a target rather than reach toward it
(Snyder et al., 1997
).
Conversely, a parietal reach region (PRR), located more posteriorly and
medially along the IPS, is more active during the preparation of a reach
movement than an eye movement (Snyder et
al., 1997
). Signals that are related to the allocation of spatial
attention have been reported both in eye-related (e.g., LIP) and arm-related
(e.g., PRR) areas, often on the same neurons that show effector-specific
modulations (Colby and Goldberg,
1999
; Calton et al.,
2002
; Bisley and Goldberg,
2003
). Similar distinctions have been proposed in the monkey
frontal lobe. The frontal eye field (FEF) is involved in the preparation and
execution of voluntary and visually guided saccadic eye movements
(Bizzi, 1968
;
Bruce et al., 1985
), whereas
the dorsal premotor area is involved in planning visually guided reaching
movements (Passingham, 1996
;
Kalaska et al., 1997
;
Wise et al., 1997
).
Attention-related modulations have been reported both in the FEF
(Bruce et al., 1985
;
Thompson et al., 1997
) and in
the dorsal premotor cortex (Di Pellegrino
and Wise, 1993
). This functional specialization is supported by
reciprocal connections that link frontoparietal areas with similar functional
properties (Cavada and Goldman-Rakic,
1989
; Wise et al.,
1997
; Lewis and Van Essen,
2000
; Marconi et al.,
2001
).
On the basis of these functional distinctions, we hypothesized that human
PPC regions, homologous to LIP and PRR areas in macaque, will be selectively
recruited during the preparation of saccadic eye movements or pointing hand
movements, respectively. Moreover, a similar distinction will be observed in
the FEF (for eye movements) and dorsal premotor (for pointing) in frontal
cortex. Finally, regions involved in covertly directing attention to a
peripheral location will overlap with regions involved in saccadic and
pointing preparation, because spatial information is used by both eye- and
arm-selection systems to plan a response.
 |
Materials and Methods
|
|---|
Subjects. Fifteen subjects were recruited from the Washington
University (St. Louis, MO) community for experiment 1. Eleven subjects
participated in experiment 2. Informed consent was obtained in accordance with
procedures approved by the local human studies committee. All subjects were
strongly right-handed as measured by the Edinburgh Handedness Inventory and
had normal or corrected-to-normal vision and normal neurological history.
Apparatus. Stimuli were generated with an Apple G4 Macintosh
computer (Apple Computers, Cupertino, CA) using PsyScope 1.2.5 PPC software
(Carnegie Mellon University, Pittsburgh, PA). In the magnetic resonance (MR)
scanner, stimuli were projected using an Epson PowerLite 703c liquid crystal
display projector (Epson America, Long Beach, CA) onto a small Plexiglas
screen that was positioned within reaching distance in front of the subject
and viewed through a periscope mirror attached to the head coil. The
periscopic mirror did not introduce any distortion or scaling of the visual
field. Eye position was monitored with an ASL 504 (Applied Science
Laboratories, Bedford, MA) eye-tracker during both behavioral and fMRI
sessions. During the behavioral session, surface electromyographic (EMG)
activity was recorded from surface electrodes positioned on the right arm
deltoid muscle using a BIOPAC MP100 system (BIOPAC Systems, Santa Barbara,
CA).
Task and procedures. A fixation cross-hair was displayed inside a
gray diamond (size, 1.6°) on a black background at all times. A change in
the color of the fixation point from red to green indicated the start of a
trial. Simultaneously, one side of the diamond was brightened for 100 msec
indicating either a left or a right location (cue stimulus). After a random
delay (4.765.86 sec after the offset of the cue in experiment 1;
2.63.7 sec after the offset of the cue in experiment 2), a white
asterisk (target) was flashed for 100 msec at 7.3° to the left or right of
fixation. The asterisk had to be detected in the attention, saccade, and
pointing task (see below). The target occurred at the cued location on 73% of
the trials (75% in experiment 2) (valid trial), and at the opposite location
on 27% (25% in experiment 2) of the trials (invalid trial). In the attention
condition, a random digit (19) was occasionally presented (not
presented, presented once, or presented twice in a block of trials) instead of
the asterisk (see below). After another interval (0.4351.535 sec) that
yielded a fixed trial (cue plus test) duration of 6.5 sec (4.33 sec in
experiment 2), the fixation point changed color from green to red to indicate
the end of the trial. Trials were separated by a random intertrial interval
(ITI) of 2.166.49 sec, in which the fixation point remained red. For
21% (20% in experiment 2) of the trials, only the cue stimulus was presented,
followed by a fixed interval of 4.23 sec (2.07 sec in experiment 2) before the
start of the ITI. The presentation of cue-only trials was necessary to
separate cue and target fMRI responses within a trial
(Shulman et al., 1999
;
Ollinger et al.,
2001a
,b
).
In experiment 1, subjects were studied in separate behavioral and fMRI
sessions. Three different tasks were performed. In the pointing task, subjects
used the cue to prepare a pointing movement with their right index finger
toward the indicated location and maintained this set during the ensuing delay
without moving the hand. In the scanner, the right hand was positioned in the
middle of the abdomen in a relaxed posture with the index finger extended and
all other fingers flexed. The right shoulder and arm were supported and
immobilized with Velcro straps attached to the scanner bed. When the target
was flashed, subjects pointed as quickly as possible in the direction of the
target location (without touching the screen) and then returned to the
starting position. Pointing involved rotation of the wrist without movements
of the shoulder or the arm. In the behavioral session, subjects sat in front
of a computer screen. They rested their index finger on a response key during
the cue period and pointed in the direction of the target location without
touching the screen. Key-press reaction times (RTs) were measured for valid
and invalid trials. In the saccade task, the cue was used to prepare a
saccadic eye movement to the left or right. After the target was flashed,
subjects looked at its location and then quickly looked back at the fixation
point. In the attention task, subjects covertly shifted and maintained
attention to the cued location and returned attention to the center after the
presentation of the target. In the fMRI session, subjects reported how many
times (not at all, once, or twice) a random digit was presented in the course
of a block of trials. This secondary task ensured that subjects attended to
the peripheral target on each trial. Mean accuracy was 97% correct. In the
behavioral session, key-press RTs were measured for valid and invalid trials.
Both EMG activity from the right deltoid muscle and eye movement position were
recorded in all conditions. In the behavioral session, subjects completed two
blocks of 40 trials each for each condition. In each fMRI session, a subject
performed 140 trials per condition, and the group statistical analysis was
based on a total of 2100 trials per condition (140 trials x 15
subjects). Single subject analyses involved two scanning sessions (280 trials
per condition).
In experiment 2, only the pointing task was run. In different blocks/scans,
subjects used either the left or the right hand. Vision of the hand was
occluded by a modification to the periscopic mirror, and an infrared video
camera was used to monitor the position of the hand and confirm that no
movement had occurred during the cue period. Each subject performed 210 trials
per condition, and the group analysis was based on 2310 trials per condition
(210 trials x 11 subjects). fMRI scan acquisition and data
analysis. A Siemens whole-body 1.5 T Vision MRI scanner (Siemens AG,
Munich, Germany) and asymmetric spin-echo, echoplanar sequence were used to
measure blood oxygenation level-dependent (BOLD) contrast over the entire
brain [repetition time (TR), 2.165 sec; echo time (TE), 37 msec; flip angle,
90°; 16 contiguous 8 mm axial slices, 3.75 x 3.75 mm in-plane
resolution]. Anatomical images were acquired using a sagittal
magnetization-prepared rapid acquisition gradient echo (MP-RAGE) sequence (TR,
97 msec; TE, 4 msec; flip angle, 12°; inversion time, 300 msec).
Functional data were realigned within and across scanning runs to correct for
head motion using an eight parameter (rigid body plus in-plane stretch)
crossmodal registration similar to the method described by Andersson et al.
(1995
). A whole brain
normalization factor was applied to each scan to correct for changes in signal
intensity between scans. Differences in the time of acquisition of each slice
within a frame were compensated by sinc interpolation. For each subject, an
atlas transformation (Talairach and
Tournoux, 1988
) was computed on the basis of an average of the
first frame of each functional run and MP-RAGE structural images to the atlas
representative target using a 12 parameter general affine transformation.
Functional data were interpolated to 2 mm cubic voxels in atlas space. The
atlas representative MP-RAGE target brain (7112B) was produced by
mutual coregistration (12 parameter affine transformations) of images obtained
in 12 normal subjects (Snyder,
1995
). The BOLD signal in each subject was analyzed with a
"within-trial" linear regression model that estimated separate
time courses during the cue and test periods for each trial type, without
assuming a shape for the hemodynamic response
(Ollinger et al., 2001a
). The
model included terms on each scanning run for an intercept, linear trend, and
temporal high-pass filter with a cutoff frequency of 0.009 Hz. Time courses
from the within-trial model were put into atlas space using the atlas
transformation. Group analyses were conducted using voxel-wise random-effect
ANOVAs. Subjects were treated as a random effect so that all results
generalized across the population. Correlations across time points were
corrected by adjusting the degrees of freedom
(Ollinger and McAvoy, 2000
).
Statistical images were corrected for multiple comparisons over the entire
brain (p < 0.05), using a magnitude threshold derived from
Monte-Carlo simulations that takes into account the number of contiguous
activated voxels (Forman et al.,
1995
). Coordinates of each cluster of activation were identified
by an automated algorithm that searched for local maxima and minima
(Mintun et al., 1989
).
Individual subject analyses were based on a cross-correlation of the estimated
BOLD response in each voxel with an assumed hemodynamic response function,
calculated by convolving a delayed gamma function
(Boynton et al., 1996
) with a
rectangular function of the event duration (e.g., cue period duration, 4.32
sec). In experiment 1, within-subject ANOVAs were run during the cue period
with MR frame (18), task (pointing, saccade, and attention), and cue
direction (left and right) as factors. During the target period, separate
ANOVAs were run with MR frame (18), task (pointing, saccade, and
attention), target visual field (left and right), and target validity (valid
and invalid) as factors. In experiment 2, the factor task included only two
levels (left hand, right hand).
Visualization of fMRI data and surface-based registration of macaque
and human atlases. To facilitate visualization of results and the
comparison across species, the group-averaged functional data were mapped to
the Human Colin surface-based atlas (Van
Essen et al., 2002
; Van Essen,
2003
). This atlas includes a high-resolution structural MRI volume
of an individual brain (Holmes et al.,
1998
) that was registered using the method of Snyder
(1995
) to the representative
MP-RAGE target brain (7112B) used for the atlas transformation (see
above). A surface reconstruction of the left and right hemisphere of the Human
Colin brain was generated using the SureFit segmentation method
(Van Essen et al., 2001
).
Functional data were mapped onto the Human Colin atlas brain
(three-dimensional and surface) by assigning each surface node the
z-score value associated with the voxel in which it resides.
The pattern of cortical convolutions in the Colin atlas brain lies well
within the range of normal variability according to the following criteria.
(1) The pattern of major sulci in the Colin left and right hemispheres is
within the range that occurs commonly in the atlas of 25 brains described by
Ono et al. (1990
). (2) After
atlas registration, the Colin left and right hemispheres were compared with
the atlas average brain that we use as the target for the Talairach
transformation (7112B). There was good correspondence in the location
of major sulci (including the calcarine, postcentral, central, superior
frontal, and superior temporal sulci plus the Sylvian fissure) in the Colin
brain and the corresponding (although fuzzier) sulci in the average atlas
brain. As an example, the average location of the intersection of the left
superior frontal sulcus and precentral sulcus was -25, -13, 52 (x, y,
z) in Colin and -25, -13, 52 in 7112B; the midpoint of the right
postcentral sulcus was 41, -31, 46 in Colin and 47, -31, 46 in 7112B;
the midpoint of the left central sulcus was -35, -33, 56 in Colin and -33,
-29, 56 in 7112B. (3) The Colin left and right hemispheres were also
compared with the average brain obtained by averaging the individual brains of
the subjects participating in this experiment after atlas transformation (to
the target 7112B). Once again, we found good correspondence in the
location of major sulci (central, postcentral, superior frontal, precentral,
and intraparietal) and in the location of functional regions in relation to
anatomical landmarks.
Surface-based registration of the macaque and human cortex was achieved by
first drawing landmarks on cortical flat maps of each hemisphere of the
macaque and human surface-based atlases (Van Essen,
2002
,
2003
) (available at
http://brainmap.wustl.edu/caret/).
These landmarks, chosen to reflect likely homologous domains, include the
fundus of the central sulcus (near the boundary between somatosensory and
motor cortex), the fundus of the Sylvian fissure (near the boundary between
somatosensory and auditory cortex), the frontal pole, the boundaries of V1,
V2, and MT+ as described by Van Essen and colleagues
(Van Essen et al., 2001
;
Van Essen, 2003
), and the
boundaries of neocortex along the medial wall. To avoid confounds associated
with artificial cuts on the flat maps, the landmarks were first projected to
macaque and human spherical maps, the registration was applied to the
spherical maps, and the deformed visual areas were then projected onto the
inflated hemisphere used in the illustrations (available at
http://brainmap.wustl.edu/caret/).
The macaque map (before and after deformation) includes the Lewis and Van
Essen (2000
) partitioning
scheme.
 |
Results
|
|---|
In a behavioral session, we measured the efficacy of the central cue in
speeding the response to a target at the attended location. Reaction times
were faster to valid targets than invalid targets, both during pointing (388
vs 423 msec; t(14) =-4.28; p = 0.001) and
attention (301 vs 332 msec; t(14) -4.86; p <
0.0001). Central fixation measured with an infrared eye tracker was similar
during the cue period in all three conditions and during the target period in
attention and pointing tasks. There was no differential EMG activity from the
arm across tasks during the cue period or in the saccade and attention tasks
during the target period.
We monitored eye position in the fMRI session. The results from the
analyses of all 15 subjects were confirmed in subanalyses on the 11 subjects
with acceptable eye movement records that included only trials in which
accurate fixation (±1.5°) was maintained.
We first considered the relationship between attention and saccade
conditions during the cue period. Figure 1,
A and B, shows statistical maps of the group
fMRI signal during the cue period for the attention and saccade tasks,
respectively, displayed on an inflated surface of the left hemisphere of an
atlas brain (Van Essen et al.,
2001
) (Table
1S, supplemental material, available at
www.jneurosci.org).
In both tasks, cue-related signals were observed bilaterally in the occipital
cortex, in the PPC along the horizontal segment of the IPS [anterior IPS
(aIPS) and posterior IPS (pIPS)], and in the frontal cortex at the junction of
the precentral and superior frontal sulcus [putative human FEF (hFEF)]. The
BOLD response in the occipital cortex was transient, reflecting a sensory
response to the cue (data not shown); conversely, the response in the IPS and
FEF was sustained in both tasks throughout the delay period
(Fig. 1A,B) (time
courses saccade vs attention). In previous work, we have shown that sustained
responses in the IPS and FEF correlate with encoding and maintenance of a
spatial cue (Corbetta et al.,
2000
). An interaction map of the two tasks
(Fig. 1D,
Table 1S) revealed
only a small region in the left anterior precuneus (aPCu) (x, y, z
-3, -51, 58) that was more strongly active during attention than eye movement
preparation. This region is close to one reported exclusively for shifting
attention (x, y, z -4, -52, 52)
(Simon et al., 2002
). Hence,
PPC and frontal response were primarily similar during attention and saccade
tasks.

View larger version (72K):
[in this window]
[in a new window]
|
Figure 1. BOLD responses on inflated surface of the left hemisphere of the Colin
brain (Van Essen et al.,
2001 ). The Front plane indicates the dorsolateral view of left
hemisphere; the back plane gives the medialview. Color scale indicates
z-scores. Cue period is as follows: A, Group-average ANOVA
F-map, transformed to z-map and multiple-comparison
corrected (F(z) mc) during covert attention. B,
Preparation of saccadic eye movement. C, Preparation of pointing
movement with right hand. Graphics indicate group-average BOLD time courses
averaged over cue direction during attention (blue), saccade (green), and
pointing (red). The y-axis indicates the percentage BOLD signal
change, whereas the x-axis indicates time (in seconds). D,
Differential activation during attention versus saccade preparation.
E, Differential activation during saccade versus pointing
preparation. Target period is as follows: F, Group-average BOLD time
courses, averaged over cue and target direction, extracted over the entire
trial (the black arrow shows the time of cue onset, and the black arrow with
mark shows the time of target onset, indicating the temporal window of
stimulus presentation) in FEF, aIPS, PCu, and IPL/aIPS. G,
Group-average F(z) mc map during attention plus target
detection. H, Saccade plus target detection. I, Pointing
plus target detection. L, Left; Calc.S, calcarine sulcus. The asterisk
indicates that there were no active voxels in the left FEF after
multiple-comparison correction. The FEF response during the attention task can
be seen in Figure 3B.
Data sets are available at
http://pulvinar.wustl.edu:8081/sums/archivelist.do?archive_id
= 315115.
|
|

View larger version (47K):
[in this window]
[in a new window]
|
Figure 3. A, Macaque brain with anatomical areas
(Lewis and Van Essen, 2000 ).
B, Deformation and mapping of macaque areas onto a human atlas brain
(left hemispheres, dorsal views) using surface-based registration. Red
indicates the FEF (area8), purple indicates motor areas (area4), green
indicates somatosensory areas (AIP, areas 5D and 3A), and yellow indicates
visual parietal areas (LIP, VIP); the lines in each area define the LIP
(dorsal and ventral) within the lateral intraparietal complex and VIP
subdivisions (medial and lateral) within the ventral intraparietal area. Brown
indicates other parietal areas (area 7A, PO), dark red indicates the MT, and
blue indicates V4. C, Group-average ANOVA F(z) map,
averaged over cue direction for attention. Black borders indicate deformed
macaque visual areas painted in Figure 4
A. D, F(z) map during saccade
preparation. E, F(z) map during pointing preparation. Labels
in italic indicate the anatomical landmarks. Abbreviations include anatomical
locations in the human brain and a deformed area in the monkey (in
parentheses): sfs, Superior frontal sulcus; cs, central
sulcus; PrCeG, precentral gyrus; PMd, premotor dorsal. Data sets are available
at
http://pulvinar.wustl.edu:8081/sums/archivelist.do?archive_id
= 315115.
|
|
Next, we considered whether preparing a pointing response involved a
distinct functional network. Figure
1C shows areas of activation during pointing preparation.
Intraparietal (aIPS, pIPS) regions that were active during attention and eye
movement preparation were also recruited during pointing preparation. These
responses were generally larger during pointing than attention
(nonsignificantly, Table
1S) and saccade (significantly,
Table 1S) tasks.
Surprisingly, we also observed preparatory responses during pointing in the
FEF, an area traditionally associated with oculomotor preparation (see maps
and time courses in Fig.
1AC; Table
1S). Finally, a larger extent of PPC and frontal cortex
were recruited exclusively during pointing preparation
(Fig. 1C,E,
Table 1S). The
interaction map between the pointing and saccade tasks
(Fig. 1E and time
courses) shows stronger signals for pointing preparation in a region on the
lip of the inferior parietal lobule (IPL/aIPS), a cluster in the superior
parietal lobule (SPL) extending medially into the precuneus (PCu) and
posterior cingulate, regions within the angular gyrus (AG) and supramarginal
gyrus (SMG) and the middle segment of the superior temporal sulcus (STS-mid),
and in frontal cortex the dorsal precentral gyrus and the anterior cingulate.
All of these regions were located in the left hemisphere contralateral to the
responding hand. Finally, we compared pointing versus attention and found a
pattern similar to that observed for pointing versus saccade
(Table 1S), except in
the SPL and precuneus, in which the response for covertly directing attention
was similar to the one for pointing preparation. Analogous results were
obtained when we directly compared the three conditions (attention, saccade,
pointing) in a three-way analysis (data not shown).
The preparatory regions defined from the cue period also responded during
the target period to the detection of the target and its localization by eye
or hand movements (Fig.
1GI). Figure
1F shows the BOLD signal time course over an entire trial
in four regions that showed preparatory signals during the cue period. The
first peak is the response to the cue (Fig.
1F, black arrow, time axis), the sustained part of the
response corresponds to the delay period, and the second peak corresponds to
the detection/localization of the target (black arrow with mark). Anterior IPS
and FEF regions, commonly active for attention and eye movement preparation,
were more strongly active during the target period when subjects looked at the
target location (saccade) than when they covertly detected the target
(attention) (left FEF, -29, -11, 50, p < 0.0001; left aIPS, -31,
-51, 46, p = 0.0008) (Fig.
1F, blue and green lines). The FEF showed a stronger
response during the execution of a pointing movement than a saccade (left FEF,
p < 0.0001; right FEF, p = 0.0008). Some regions that
were specifically recruited during pointing preparation remained more strongly
active during pointing than saccadic eye movements in the target period
(Fig. 1F) (left
IPL/aIPS, p < 0.0001; left SMG, p < 0.0001). However,
other regions did not show a differential response
(Fig. 1F, left PCu,
AG, STS-mid).
To localize the anatomical position of functional regions in the PPC and FC
more precisely during saccadic and pointing preparation, we analyzed
individual data in three subjects who were tested in a second session to
double the number of trials. Figure
2 shows selected slices through the PPC and dorsal FC in a
representative subject. As in the group analysis, the location of the FEF fell
at the intersection of the superior frontal and precentral sulcus; its
response was similar for the preparation of saccades and hand pointing
(Fig. 2, FEF time course). The
PPC response was within the posterior IPS and was not significantly different
for saccades and pointing (Fig.
2, pIPS time course).

View larger version (79K):
[in this window]
[in a new window]
|
Figure 2. Selected transverse brain slices (Z = 48) during cue and target
periods for pointing and saccade tasks in a representative subject.
T-maps were transformed to z-maps. BOLD time courses,
averaged over cue direction, were extracted from the left FEF, PCu, and
pIPS.
|
|
However, a region in the superior parietal lobule-precuneus was uniquely
active during pointing (Fig. 2,
PrCu time course). Other regions that were significantly more active during
pointing preparation were the angular gyrus, left supramarginal gyrus, left
dorsal precentral gyrus, and superior temporal sulcus. Importantly, these
responses were all in the left hemisphere contralateral to the responding
right hand in contrast to the bilateral FEF/IPS activation.
A critical question is whether left hemisphere regions that were recruited
during the preparation of right-hand pointing movements are involved in the
preparation of contralateral responses, or whether they are involved in
preparing movements with either hand. Damage to the left parietal and frontal
lobe in humans is known to cause bilateral deficits in planning complex hand
or limb movements (apraxia) (Geschwind,
1975
). To answer this question, 11 additional subjects prepared
and executed pointing movements to visual targets with either the left or the
right hand in different scans. None of the arm-specific preparatory regions in
experiment 1 were affected by switching the hand used to respond. A voxel-wise
ANOVA indicated that only a left IPL/aIPS focus showed a significantly
stronger response for left-hand (ipsilateral) pointing preparation (x, y,
z -25, -51, 38; p < 0.0001). During the target period, only
two of the preparatory regions from experiment 1 (left dorsal precentral
gyrus, p = 0.0049; left SMG, p = 0.018) showed a
significantly stronger response for right-versus left-hand pointing. In
contrast, activations of the primary sensory-motor cortex and anterior
cerebellum were contralateral and ipsilateral, respectively, to the hand used
to point. These findings indicate that the response of these left-lateralized
frontal and parietal regions is independent of the arm used to respond both
during movement planning and during movement execution.
To compare these patterns of activation with the arrangement of cortical
visual areas in the macaque, we registered the left hemisphere of a macaque
atlas brain onto the left hemisphere of a human atlas brain, using a
landmark-based surface matching method of Van Essen et al.
(2001
). This procedure allowed
us to compare the parietal and frontal regions showing preparatory responses
with an architectonic partitioning scheme of anatomical areas in monkey PPC
developed by Lewis and Van Essen
(2000
). The interpretation of
any set of results strongly depends on the assumptions used to register the
human and macaque cortical surfaces. In this study, none of the landmarks used
in the deformation were near the IPS or FEF, and none of the fMRI responses
were used to constrain the deformation. This particular choice of landmarks
yields a sensible registration of human and macaque extrastriate visual areas
in the ventral occipital and temporal cortex
(Van Essen, 2003
).
Figure 3A shows the
anatomical areas in the macaque, and Figure
3B shows the same macaque areas warped onto a
corresponding view of the human left hemisphere. The intraparietal complex,
including the LIP and ventral visual intraparietal area (VIP), is shown in
yellow. The FEF (area 8) is red.

View larger version (74K):
[in this window]
[in a new window]
|
Figure 4. Overlap of preparatory signals for attention (blue), saccade (green), and
pointing (red). Regions of overlap are shown: White indicates all conditions,
teal indicates attention/saccade, magenta indicates attention/pointing, and
yellow indicates saccade/pointing. A, Left hemisphere, dorsal view.
B, Flattened representation of the left hemisphere. C,
Effector-independent regions (i.e., overlap of preparatory signals for
attention, saccade, and pointing preparation from
Fig. 4 A, B, yellow);
foci of attention to motion direction from Shulman et al.
(2002 ) are in blue. The
retinotopically specific parietal area according to Sereno et al.
(2001 ) is shown in red. The
IPS area for preparation of saccadic eye movements described by Connolly et
al. (2002 ) is shown in green.
D, Hand-specific regions: responses for pointing preparation after
subtraction of attention and saccade preparation from
Figure 4 A (red); the
coordinate of putative AIP averaged over several AIP human studies is shown in
yellow (for review, see Binkofski et al.,
1999 ; Grefkes et al.,
2002 ). sfs, Superior frontal sulcus; cs, central sulcus;
PoCS, postcentral sulcus; PrCeG, precentral gyrus; PMd, premotor dorsal.
|
|
Figure 3D shows
that preparatory activity for saccadic eye movements is distributed in an
elongated crescent that falls within the deformed intraparietal visual complex
(LIP, VIP) and maps within deformed area VIP on the medial bank of the IPS. In
the macaque, preparatory activity for saccades is typically found on the
lateral bank of the IPS within the LIP
(Gnadt and Andersen, 1988
;
Snyder et al., 1997
;
Colby and Goldberg, 1999
). The
vector distance between the fMRI response for saccadic preparation and the
center of the deformed LIP is
7 mm
(Table 1). In the frontal lobe,
the human FEF response for saccade preparation falls within deformed macaque
area 4; this human response is displaced
4 cm posterior to the location
of the deformed macaque FEF (mFEF) in the area 8 complex
(Table 1).
Figure 3C shows
that covert attention activated a similar patch of cortex in the intraparietal
complex (deformed areas VIP/LIP), a more dorsal and medial cluster in the SPL
within the deformed medial intraparietal area (MIP) and the human FEF.
Finally, pointing preparation (Fig.
3E) activated the intraparietal complex in a more
widespread manner, with responses localized both on the medial and on the
lateral side of the IPS, extending onto the lip of the supramarginal gyrus.
Pointing also activated a more dorsal and medial swath in the SPL
(Fig. 3E) that
extended across deformed areas medial dorsal parietal area (MDP), MIP,
parietal-occipital (PO), 5D, and 31 [anterior to deformed area V6A of Galetti
et al. (1999
)]
(Fig. 1, supplemental material,
available at
www.jneurosci.org).
In the frontal cortex, pointing preparation recruited the human FEF and dorsal
precentral gyrus that corresponds to the human dorsal premotor area
(Colebatch et al., 1991
;
Grafton et al., 1996
;
Connolly et al., 2000
;
Thoenissen et al., 2002
). The
dorsal precentral gyrus response maps in deformed area 4 and is displaced
>3 cm posterior from the deformed macaque dorsal premotor areas in area 6
(Table 1).
A convenient way to visualize regions of convergent or divergent activation
is to project preparatory BOLD responses for all three conditions on the same
atlas brain. Figure 4A
shows a dorsal view of the inflated surface of the left hemisphere of an atlas
brain (Van Essen, 2002
) on
which group average preparatory signals for attention (blue), saccadic
(green), and pointing (red) movements were projected. Regions of convergence
between two conditions are indicated by intermediate colors (yellow, pointing
and saccades; magenta, pointing and attention; light blue, attention and
saccades); regions of convergence among three conditions are shown in white.
The borders of the deformed macaque visual intraparietal complex (LIP/VIP) and
the FEF area 8 complex are shown in black.
Figure 4B shows the
flat map of the same left hemisphere.
We found two regions of convergence among all three conditions in the IPS
(anterior and posterior) within the deformed visual intraparietal complex and
one in the FEF at the intersection of the precentral and superior frontal
sulcus. The SPL (deformed area MIP) was active for both attention and pointing
(Fig. 4A,B)
Figure 4C shows
that the regions of common activation are adjacent to cortical regions active
in a separate group of subjects in experiments that isolate preparatory
signals for direction of motion (Shulman
et al., 2002
) (Fig.
4C, blue). The retinotopically organized parietal area
reported by Sereno et al.
(2001
) is centered nearby in
the deformed VIP. The recent IPS region recruited during the preparation of
prosaccades and antisaccades also plots within the deformed VIP
(Connolly et al., 2002
). A
putative human homolog of VIP lies more anterior in correspondence of the
anterior intraparietal (AIP) region (Fig.
4D) (Bremmer et al.,
2001
).
Figure 4D compares
the regions specifically recruited during pointing preparation with a nearby
region at the intersection of the anterior IPS and postcentral sulcus (yellow;
average coordinate x, y, z, -40, -40, 41) that is active during tasks
that require grasping, manipulation, vision, or imagination of
three-dimensional objects, visual and/or haptic (for review, see
Binkofski et al., 1999
;
Grefkes et al., 2002
). Lesions
involving this more anterior region produce relatively greater deficits for
grasping than reaching (Binkofski et al.,
1998
). This region has been proposed to be the human homolog of
the AIP area identified in macaque by Sakata et al.
(1995
); deformed macaque AIP
indeed maps anterior to the LIP/VIP complex.
 |
Discussion
|
|---|
Our fMRI results suggest, contrary to our original hypotheses, that human
PPC and FC contain several regions that code preparatory signals for spatial
location independently of the effector used for the response (eye, arm).
However, we also found regions for which activity was more closely related to
the planning of pointing hand movements. For the particular landmarks chosen
in this study, we found a higher spatial correspondence in the PPC between
human fMRI responses and deformed anatomical areas in the macaque than in the
frontal lobe, where large deviations were observed in the position of
putatively homologous areas.
Effector-independent preparatory spatial responses in IPS and
FEF
The anatomical overlap of IPS and FEF responses during spatial attention
and eye movements was noted previously in blocked fMRI studies that averaged
preparatory, visual, and motor-related activity
(Corbetta et al., 1998
;
Nobre et al., 2000
), but the
present study is the first to show overlap of preparatory signals for saccades
and covert spatial attention. A behavioral implication of this result is that
spatial attention shifts are akin to the preparation of a saccadic eye
movement, as suggested by a large body of psychophysical literature
(Shepherd et al., 1986
;
Rizzolatti et al., 1987
;
Chelazzi et al., 1995
;
Hoffman and Subramaniam,
1995
).
A novel and more surprising result was the recruitment of putative human
FEF and IPS during pointing preparation and execution, insofar as these areas
are traditionally considered oculomotor or attentional fields. Eye movement
recordings in the scanner showed that subjects did not move their eyes during
preparation or execution of pointing movements. It is also unlikely that
fixation was more effortful while preparing an arm movement than an eye
movement or a covert shift of attention. Our results are consistent with
previous fMRI experiments that reported common activity in the IPS and FEF for
visually guided saccades and pointing movements without separating preparation
from execution (Connolly et al.,
2000
; Simon et al.,
2002
). The recruitment of IPS and FEF for pointing may seem to
contradict previous single-unit studies that drew a strong distinction between
areas involved in eye movements and attention (e.g., LIP, FEF) and regions
involved in reaching (e.g., PRR) (Snyder
et al., 1997
). However, more recent studies have shown that
neurons in the FEF (Lawrence and Snyder,
2002
), and also in the LIP (Larry Snyder, personal communication),
are recruited during the preparation and execution of visually guided reaching
movements. Furthermore, whereas LIP and FEF neurons combine spatial and
effector signals linearly, PRR neurons add them supralinearly during reaching
(Dickinson et al., 2002
). This
suggests that the LIP and FEF code spatial locations in a more abstract
(effector-independent) way than PRR, where the activity is more closely
related to planning of arm movements.
The common recruitment, independent of response demands or type of
effector, in the human IPS, macaque LIP, and FEF in both species is consistent
with the view that neural signals in these regions are in part effector
independent. The BOLD signal in these areas, which was sustained throughout
the memory delay (
5 sec), may reflect the generation and maintenance of
an attentional or memory signal coding the relevant spatial location,
consistent with our hypothesis that these frontoparietal areas are attentional
in nature and maintain an active representation of task-relevant information
(Corbetta and Shulman, 2002
).
Alternately, this activity may reflect the use in all three tasks of intended
eye-position signals to calculate the location of the attended target
(Andersen et al., 1990
;
Duhamel et al., 1992
;
Batista et al., 1999
). Eye
position signals modulate BOLD responses in the IPS during reaching
(DeSouza et al., 2000
).
Pointing-specific spatial responses in left posterior parietal and
frontal cortex
Pointing preparation recruited a larger number of regions than saccadic
preparation or covert attention in the lateral and medial PPC and FC. This
more widespread cortical recruitment may be related not just to the effector
selected (arm rather than eye) but also to the more complex coordinate
transformation necessary to plan a pointing movement (from a retinotopic to an
arm centered frame of reference). Experiments that have manipulated coordinate
transformations or the integration of retinotopic, eye, and arm position
signals have observed signal modulations in PPC
(Clower et al., 1996
;
DeSouza et al., 2000
).
Pointing-specific preparatory responses were lateralized to the left
hemisphere for both contralateral and ipsilateral movements. In contrast, the
primary sensory-motor cortex switched with the hand used to point. These
findings are consistent with the evidence that damage to the left inferior
parietal lobule and frontal cortex causes spatial and temporal errors in
planning bilateral voluntary movements or in the repetition of observed
sequences or gestures (ideomotor apraxia)
(Geschwind, 1975
;
Freund, 2001
;
Koski et al., 2002
).
A cluster of pointing-specific activity involved a swath of tissue that
extended from the SPL to the precuneus. Damage to the SPL causes optic ataxia
in humans, a syndrome characterized by the inability to point precisely to
visual targets (Perenin and Vighetto,
1988
). Although responses in the SPL and precuneus have been
reported previously during reaching and pointing
(Kawashima et al., 1995
;
Grafton et al., 1996
;
Connolly et al., 2000
;
Simon et al., 2002
), this is
the first study to isolate preparatory activity. Based on the registration of
cortical surfaces, we propose below that this region may partly correspond to
the PRR in the macaque. This homology is suggested by the presence of
arm-specific preparatory and motor activity as well as smaller but significant
activity during saccadic eye movements
(Fig. 1F). Similar
signals have been recorded in the PRR
(Snyder et al., 2000
).
Finally, we observed spatial attention responses in the SPL (Figs.
3C,
4A,B) consistent with
the presence of pure spatial signals in the PRR in the absence of effector
information (Calton et al.,
2002
).
A second left inferior parietal lobule cluster (mean coordinate, -37, -49,
46) was recruited during pointing preparation but not spatial attention. The
lack of spatial attention signals may indicate that this region is more
motor-related than the SPL/precuneus. This functional region is separate from
putative human AIP (mean coordinate, -40, -40, 41) (for review, see
Binkofski et al., 1999
;
Grefkes et al., 2002
), a
region active during grasping and vision of three-dimensional objects that
maps onto deformed macaque AIP (Fig.
4D). The lack of an AIP response probably reflects the
fact that pointing does not involve complex hand movements.
Finally, the dorsal precentral gyrus corresponds to the dorsal premotor
area, which is involved in preparatory set for finger and upper limb movements
(Kurata, 1993
;
Schluter et al., 1998
;
Toni et al., 1999
;
Thoenissen et al., 2002
). The
anterior cingulate region corresponds to the cingulate motor areas that are
closely connected with the dorsal and medial parietal lobe and involved in
motor planning (Strick, 1988
;
Marconi et al., 2001
)
Macaquehuman comparison
Surface-based brain registration provides a general strategy for comparing
cortical organization between species and evaluating candidate area homologies
(Van Essen et al., 2001
;
Van Essen, 2003
).
Our results suggest that humans and macaques share a more similar
functional organization in the IPS than frontal cortex, insofar as the
alignment of putatively homologous areas is concerned. Good correspondence
between functional human regions and deformed macaque areas (e.g., IPS or SPL)
is consistent with a common evolutionary plan coupled with a relatively
uniform scaling of area sizes. In regions in which the correspondence is poor
(e.g., FEF), multiple alternatives can be considered: differential expansion
or contraction of some areas compared with others, divergence in the function
of areas having a common evolutionary origin, emergence of entirely new areas
and/or disappearance of others, and (most radically) overt transposition of
cortical areas that alter their topological arrangement with neighbors.
The homologies proposed below are based on (1) the similarity between the
human fMRI responses and the functional properties of neurons in anatomically
defined macaque areas and (2) the registration of cortical surfaces. These
homologies are provisional. More refined comparisons will emerge from direct
interspecies comparisons of fMRI activation patterns using similar behavioral
paradigms (Vanduffel et al.,
2001
; Nakahara et al.,
2002
).
Two regions within the IPS (aIPS and pIPS) showed robust preparatory
signals for saccades and attention, a prominent characteristic of LIP neurons
(Gnadt and Andersen, 1988
;
Colby et al., 1996
;
Snyder et al., 1997
), and
notably, also for pointing. Both regions mapped to the deformed VIP/LIP
complex (Figs.
3AE,
4A). Several factors
might account for the modest mismatch between these foci and the center of the
LIP (
7 mm; Table 1): a
genuine difference in the detailed topography of cortical areas within the
human IPS, poor spatial resolution of the fMRI responses, anatomical
variability attributable to intersubject averaging, or errors in the surface
registration algorithm. In other studies, functional regions putatively
homologous to LIP also fall on the medial wall of the IPS
(Fig. 4C) (Corbetta et
al., 1998
,
2000
;
Sereno et al., 2001
;
Connolly et al., 2002
).
Responses for attending to motion stimuli
(Shulman et al., 2002
) lie
medial to the region for spatial attention and saccades
(Fig. 4C) and may mark
the location of human VIP. In the macaque, VIP neurons are strongly modulated
by attention to motion (Cook and Maunsell,
2002
). The response during pointing preparation in the lateral IPS
and inferior parietal lobule (Figs.
3E,
4D) may include parts
of human 7A, an area that lies lateral to the LIP and contains neurons that
fire before and during the execution of visually guided reaching movements
(Mountcastle et al., 1975
;
Hyvarinen and Shelepin,
1979
).
The topological relationship between effector-independent regions in the
IPS and pointing-specific regions in the SPL/precuneus resembles the spatial
arrangement of the LIP and PRR in the macaque
(Rushworth et al., 2001
).
Activity for pointing preparation was mapped to several areas, including
deformed the MIP, MDP, 5D, PO, and 31. Macaque MIP is part of the PRR
(Colby and Duhamel, 1991
;
Calton et al., 2002
). Other
dorsomedial parietal areas (deformed MDP, 5D, and PO) are reciprocally
connected in the macaque with dorsomedial frontal areas (dorsal premotor and
anterior cingulate), which were also active for pointing preparation and form
a specialized network for the coordinate transformation of peripheral visual
information into reaching plans (Wise et
al., 1997
; Battaglia-Mayer et
al., 2001
; Marconi et al.,
2001
). An important caveat for our proposed homologies is that we
studied finger-pointing movements in humans, whereas monkeys are usually
studied during reaching movements.
Good spatial registration in the IPS and SPL/precuneus may be related to
the conservation of basic attentional and visuomotor (saccades, reaching)
processes in the course of evolution. Species differences (e.g., the medial
displacement of LIP) may reflect the expansion of the left inferior parietal
lobule, where human responses for phonology and calculation
(Simon et al., 2002
) may not
have a counterpart in the macaque, and where hemispheric asymmetries have been
demonstrated (Eidelberg and Galaburda,
1984
).
In contrast to the relatively good alignment of human and monkey PPC, we
found large deviations in the topography of putatively homologous areas in the
frontal lobe (Fig. 4). For
example, putative human FEF lies at the intersection of the superior frontal
and precentral sulcus (Paus,
1996
; Petit et al.,
1997
; Corbetta et al.,
1998
; Luna et al.,
1998
) and was displaced
4 cm posterior from the deformed
macaque area 8 FEF complex (Fig.
3D). Similarly, the position of the macaque dorsal
premotor area in area 6 is displaced
3 cm anterior from the human dorsal
premotor area on the precentral gyrus.
Interestingly, both the monkey and human FEF lie near sulci that are
oriented in a quasi-T intersection (arcuate and principalis sulci in the
macaque; precentral and superior frontal sulci in humans). This may indicate
that the larger shift in the topographical position of dorsal frontal areas is
consistent with an emergence or expansion of prefrontal representations
supporting the repertoire of cognitive, social, and emotional behaviors that
characterize the human mind.
 |
Footnotes
|
|---|
Received Nov. 18, 2002;
revised Feb. 26, 2003;
accepted Mar. 20, 2003.
This research was supported by National Institutes of Health Grants
EY00379, NS06833, and MH60974 (National Institute of Mental Health, National
Science Foundation, National Cancer Institute, National Library of Medicine,
and National Aeronautics and Space Administration) and by the J. S. McDonnell
Foundation.
Correspondence should be addressed to Maurizio Corbetta, Department of
Neurology, Washington University School of Medicine, 4525 Scott Avenue, St.
Louis, MO 63110. E-mail:
mau{at}npg.wustl.edu.
Copyright © 2003 Society for Neuroscience
0270-6474/03/234689-11$15.00/0
 |
References
|
|---|
Andersen RA, Bracewell RM, Barash S, Gnadt JW, Fogassi L
(1990) Eye position effects on visual, memory, and
saccade-related activity in areas LIP and 7A of macaque. J
Neurosci 10:
11761196.[Abstract]
Andersson JLR (1995) A rapid and accurate method to
realign PET scans utilizing image edge information. J Nucl Med
36: 657669.[Abstract/Free Full Text]
Batista AP, Buneo CA, Snyder LH, Andersen RA (1999)
Reach plans in eye centered coordinates. Science
285:
257260.[Abstract/Free Full Text]
Battaglia-Mayer A, Ferraina S, Genovesio A, Marconi B, Squatrito S,
Molinari M, Lacquaniti F, Caminiti R (2001) Eye-hand coordination
during reaching. II. An analysis of the relationships between visuomanual
signals in parietal cortex and parieto-frontal association projections.
Cereb Cortex 11:
528544.[Abstract/Free Full Text]
Binkofski F, Dohle C, Posse S, Stephan KM, Hefter H, Seitz RJ,
Freund HJ (1998) Human anterior intraparietal area subserves
prehension: a combined lesion and functional MRI activation study.
Neurology 50:
12531259.[Abstract/Free Full Text]
Binkofski F, Buccino G, Stephan KM, Rizzolatti G, Seitz RJ, Freund
HJ (1999) A parieto-premotor network for object manipulation:
evidence from neuroimaging. Exp Brain Res
128:
210213.[ISI][Medline]
Bisley JW, Goldberg ME (2003) Neuronal activity in the
lateral intraparietal area and spatial attention. Science
299: 8186.[Abstract/Free Full Text]
Bizzi E (1968) Discharge of frontal eye field neurons
during saccadic and following eye movements in unanesthetized monkeys.
Exp Brain Res 6:
6980.[ISI][Medline]
Boynton GM, Engel SA, Glover GH, Heeger DJ (1996)
Linear systems analysis of functional magnetic resonance imaging in human V 1.
J Neurosci 16:
42074221.[Abstract/Free Full Text]
Bremmer F, Schlack A, Shah NJ, Zafiris O, Kubischik M, Hoffmann K,
Zilles K, Fink GR (2001) Polymodal motion processing in posterior
parietal and premotor cortex: a human fMRI study strongly implies
equivalencies between humans and monkeys. Neuron
29: 287296.[ISI][Medline]
Brodmann K (1905) Beitrage zür histologischen
localisation der grosshirnrinde, dritte mitteilung: die rinderfelder der
niederen affen. J Psychol Neurol 4:
177226.
Bruce CJ, Goldberg ME, Bushnell MC, Stanton GB (1985)
Primate frontal eye fields. II. Physiological and anatomical correlates of
electrically evoked eye movements. J Neurophysiol
54: 714734.[Abstract/Free Full Text]
Calton JL, Dickinson AR, Snyder LH (2002) Non-spatial,
motor-specific activation in posterior parietal cortex. Nat
Neurosci 5:
580588.[ISI][Medline]
Cavada C, Goldman-Rakic PS (1989) Posterior parietal
cortex in rhesus monkey. I. Parcellation of areas based on distinctive limbic
and sensory corticocortical connections. J Comp Neurol
287:
393421.[ISI][Medline]
Chelazzi L, Biscaldi M, Corbetta M, Peru A, Tassinari G, Berlucchi
G (1995) Oculomotor activity and visual spatial attention.
Behav Brain Res 71:
8188.[ISI][Medline]
Clower DM, Hoffman JM, Votaw JR, Faber TL, Woods RP, Alexander GE
(1996) Role of posterior parietal cortex in the recalibration of
visually guided reaching. Nature 383:
618621.[Medline]
Colby CL, Duhamel J (1991) Heterogeneity of
extrastriate visual areas and multiple parietal areas in the macaque monkey.
Neuropsychologia 29:
517537.[ISI][Medline]
Colby CL, Goldberg ME (1999) Space and attention in
parietal cortex. Annu Rev Neurosci 22:
319349.[ISI][Medline]
Colby CL, Duhamel JR, Goldberg ME (1996) Visual,
presaccadic, and cognitive activation of single neurons in monkey lateral
intraparietal area. J Neurophysiol 76:
28412852.[Abstract/Free Full Text]
Colebatch JG, Adams L, Murphy K, Martin AJ, Lammertsma AA, Tochon
Danguy HJ, Clark JC, Friston KJ, Guz A (1991) Regional cerebral
blood flow during volitional breathing in man. J Physiol (Lond)
443: 91103.[Abstract/Free Full Text]
Connolly JD, Goodale MA, Desouza JF, Menon RS, Vilis T
(2000) A comparison of frontoparietal fMRI activation during
anti-saccades and antipointing. J Neurophysiol
84:
16451655.[Abstract/Free Full Text]
Connolly JD, Goodale MA, Menon RS, Munoz DP (2002)
Human fMRI evidence for the neural correlates of preparatory set. Nat
Neurosci 5:
13451352.[ISI][Medline]
Cook EP, Maunsell JH (2002) Attentional modulation of
behavioral performance and neuronal responses in middle temporal and ventral
intraparietal areas of macaque monkey. J Neurosci
22:
19942004.[Abstract/Free Full Text]
Corbetta M, Shulman GL (2002) Control of goal-directed
and stimulusdriven attention in the brain. Nat Rev Neurosci
3: 201215.[ISI][Medline]
Corbetta M, Akbudak E, Conturo TE, Snyder AZ, Ollinger JM, Drury
HA, Linenweber MR, Petersen SE, Raichle ME, Van Essen DC, Shulman GL
(1998) A common network of functional areas for attention and eye
movements. Neuron 21:
761773.[ISI][Medline]
Corbetta M, Kincade JM, Ollinger JM, McAvoy MP, Shulman GL
(2000) Voluntary orienting is dissociated from target detection
in human posterior parietal cortex. Nat Neurosci
3: 292297.[ISI][Medline]
DeSouza JF, Dukelow SP, Gati JS, Menon RS, Andersen RA, Vilis T
(2000) Eye position signal modulates a human parietal pointing
region during memory-guided movements. J Neurosci
20:
58355840.[Abstract/Free Full Text]
Dickinson TR, Calton JL, Snyder LH (2002) Interactions
between spatial and effector-specific information in two distinct areas of
monkey posterior parietal cortex (PPC). Soc Neurosci Abstr
28: 622.9.
Di Pellegrino G, Wise SP (1993) Effects of attention
on visuomotor activity in the premotor and prefrontal cortex of a primate.
Somatosens Mot Res 10:
245262.[ISI][Medline]
Duhamel J-R, Colby C, Goldberg ME (1992) The updating
of the representation of visual space in parietal cortex by intended eye
movements. Science 255:
9092.[Abstract/Free Full Text]
Eidelberg D, Galaburda AM (1984) Inferior parietal
lobule. Divergent architectonic asymmetries in the human brain. Arch
Neurol 41:
843852.[Abstract]
Forman SD, Cohen JD, Fitzgerald M, Eddy WF, Mintun MA, Noll DC
(1995) Improved assessment of significant activation in
functional magnetic resonance imaging (fMRI): use of a cluster-size threshold.
Magn Reson Med 33:
636647.[ISI][Medline]
Freund HJ (2001) The parietal lobe as a sensorimotor
interface: a perspective from clinical and neuroimaging data.
NeuroImage 14:
S142S146.[ISI][Medline]
Galletti C, Fattori P, Kutz D, Gamberini M (1999)
Brain location and visual topography of cortical area V6A in the macaque
monkey. Eur J Neurosci 11:
575582.[ISI][Medline]
Geschwind N (1975) The apraxias: neural mechanisms of
disorders of learned movement. Am Sci
63: 188195.[ISI][Medline]
Gnadt JW, Andersen RA (1988) Memory related motor
planning activity in posterior parietal cortex of macaque. Exp Brain
Res 70:
216220.[ISI][Medline]
Grafton ST, Fagg AH, Woods RP, Arbib MA (1996)
Functional anatomy of pointing and grasping in humans. Cereb
Cortex 6:
226237.[Abstract/Free Full Text]
Grefkes C, Weiss PH, Zilles K, Fink GR (2002)
Crossmodal processing of object features in human anterior intraparietal
cortex: an fMRI study implies equivalencies between humans and monkeys.
Neuron 35:
173184.[ISI][Medline]
Hoffman JE, Subramaniam B (1995) The role of visual
attention in saccadic eye movements. Percept Psychophys
57: 787795.[ISI][Medline]
Holmes CJ, Hoge R, Collins L, Woods R, Toga AW, Evans AC
(1998) Enhancement of MR images using registration for signal
averaging. J Comput Assist Tomogr 22:
324333.