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Volume 16, Number 11,
Issue of June 1, 1996
pp. 3737-3744
Copyright ©1996 Society for Neuroscience
Specific Involvement of Human Parietal Systems and the Amygdala
in the Perception of Biological Motion
Eva Bonda,
Michael Petrides,
David Ostry, and
Alan Evans
Montréal Neurological Institute and Department of Psychology,
McGill University, Montréal, Québec, Canada H3A 2B4
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES
ABSTRACT
To explore the extent to which functional systems within the human
posterior parietal cortex and the superior temporal sulcus are involved
in the perception of action, we measured cerebral metabolic activity in
human subjects by positron emission tomography during the perception of
simulations of biological motion with point-light displays. The
experimental design involved comparisons of activity during the
perception of goal-directed hand action, whole body motion, object
motion, and random motion. The results demonstrated that the perception
of scripts of goal-directed hand action implicates the cortex in the
intraparietal sulcus and the caudal part of the superior temporal
sulcus, both in the left hemisphere. By contrast, the rostrocaudal part
of the right superior temporal sulcus and adjacent temporal cortex, and
limbic structures such as the amygdala, are involved in the perception
of signs conveyed by expressive body movements.
Key words:
parietal cortex;
superior temporal sulcus;
amygdala;
biological motion;
motion perception;
positron emission
tomography
INTRODUCTION
Lesions of the posterior part of the human
cerebral cortex, involving the posterior parietal and adjacent temporal
and occipital cortex, give rise to severe impairments in the production
of action, as well as in the perception of meaningful action (Kimura
and Archibald, 1974 ; De Renzi and Lucchelli, 1988 ; Goodale et al.,
1991 ). These impairments, which are most frequently associated with
damage to the left hemisphere, have been traditionally described under
the term ``apraxia'' (Liepmann, 1908 ; Geschwind, 1967 ). Single-cell
recording studies in monkeys have demonstrated that certain areas in
the parietal cortex are involved in the reaching toward and
manipulation of objects in space (Mountcastle et al., 1975 ; Taira et
al., 1990 ; Sakata et al., 1992 , 1995 ), as well as in the coding of the
position of objects in relation to the body (Mountcastle et al., 1975 ;
for review, see Andersen, 1987 ). These parietal areas receive input
from the cortex of the caudal superior temporal sulcus (Seltzer and
Pandya, 1978 , 1984 , 1991 ; Maunsell and Van Essen, 1983 ; Andersen et
al., 1990 ; Boussaoud et al., 1990 ), where several areas involved in the
perception of motion have been identified (Zeki, 1974 ; Van Essen et
al., 1981 ; Tanaka et al., 1986 ). There is evidence that the
``motion'' areas in the caudal superior temporal sulcus are
interacting functionally with the parietal cortex in the analysis of
complex motion patterns (Tanaka and Saito, 1989 ; Graziano et al., 1994 ;
Sakata et al., 1994 ). The above findings raise the question whether, in
the human brain, the perception of action implicates specific systems
within the superior temporal sulcus and the posterior parietal cortex.
In addition, given the neuropsychological evidence that left posterior
lesions give rise to ``apraxia,'' it would be of interest to find out
whether this activity would be more prominent in the left
hemisphere.
The experimental paradigm used to explore the above questions involved
simulations of biological motion in the three-dimensional space using
point-light displays. This technique, pioneered by Johansson (1973) ,
permits the depiction of human movement by means of a few isolated
points of light attached to major joints of the body. Naive observers
readily interpret the moving cluster of light points as representing a
human figure, despite the complete absence of form cues. In the present
positron emission tomography (PET) study, the use of moving point-light
displays, instead of ordinary featural displays, permits appropriate
experimental control because the visual stimuli in all conditions are
the same and, therefore, any difference between these conditions is the
result of the perceptual processing by the nervous system. We measured
cerebral blood flow with PET under conditions in which human subjects
perceive goal-directed hand action, whole body motion, and object and
random motion. Comparisons of activity between these conditions allowed
the identification of neural activity specifically related to the
interpretation of body movement.
A preliminary report of some of these data has been presented (Bonda et
al., 1995a ).
MATERIALS AND METHODS
Subjects
Eleven volunteer subjects (19-27 years old; mean age 22.2), 10 female and 1 male, participated in the experiment. All subjects had
normal uncorrected vision and were right-handed. Informed consent was
obtained from the subjects, and the study was approved by the Ethics
Committee of the Montreal Neurological Hospital.
Apparatus and stimuli
The stimuli consisted of sequences of point-light displays that
were recorded in three spatial dimensions using the Optotrak, an
optoelectronic imaging system. Sequences of dance-like whole-body
movements, sequences of hand and arm movements reaching to pick up a
cup and bring it to the mouth, and movements of light points attached
to a mounting board were recorded. In each case, 13 light points were
used. In all conditions, the shifting pattern of points was sampled at
100 Hz for 10 sec to create the point-light animation sequences.
The animation sequences were played back to the subjects on a computer
monitor, and all trial-related events (display randomization, timing,
etc.) were controlled by the computer. Each sequence consisted of the
movements of the 13 light points (the recorded positions) seen against
a black background. The 13 light points were visible at all times.
Experimental procedure and design
In the PET session, the subjects were tested under seven 60 sec
scanning conditions, five of which constitute the present experiment.
The order of these five conditions was balanced across subjects. Four
conditions (body movement, hand action, object motion, and random
motion) involved sequences of light points moving on the screen, and
one condition (random static) involved static displays of such points.
The subjects were asked to look at the point-light sequences very
carefully because at the end of the scanning period, they would be
given a memory test, during which they would have to recognize the
sequences they saw. In each condition, four different sequences of
point-lights were presented during scanning in blocks of four. Within
each block, the four sequences were randomly presented. Thus, the
subjects had equal exposure to all four sequences during the scan. The
subjects were told to pay attention to the overall pattern of movement
rather than to individual light points (in the four motion conditions),
and to pay attention to the overall static display in the static
condition. At the end of scanning in each condition, a recognition
memory test was administered. During this test, eight sequences were
presented; four of these were the ones presented during the scan and
the other four were novel. The subject had to identify verbally the
four familiar and the four new sequences.
All subjects were naive with regard to the stimulus material, and no
practice session was administered before scanning. Each point-light
sequence lasted 5 sec. The stimuli subtended 16.5° of visual angle.
All light points disappeared during the inter-sequence interval, which
was 0.5 sec for all conditions. The presentation of the sequences
started ~10 sec before the onset of PET data collection.
Body movement condition. In this condition, the point-light
sequences depicted a frontal plane view of a human figure that moved
backward and forward and from left to right, yielding three-dimensional
movements of the whole body to the viewer. These moving sequences left
a powerful and immediate impression on the viewer of a person dancing.
To produce the body motion sequences, infrared light-emitting diode
markers were placed bilaterally on the shoulders, elbows, hands, hips,
knees, and ankles. The hip and shoulder markers defined the trunk. An
additional marker was used to record the position of the head. The
constellation of 13 points remained visible throughout the duration of
each sequence. During scanning, four sequences of different body motion
patterns were presented in four blocks. In the post-scanning memory
test, in which the subjects had to discriminate these four body motion
sequences from four new ones, the mean accuracy of performance was 81.8 (range, 62.5-100%). All subjects reported a compelling impression,
obtained from the entire display, of a moving human body.
Hand action condition. In each sequence used in this
condition, the 13 light points were placed on different parts of the
hand: shoulder, elbow, wrist, and the two articulations defining the
proximal phalanx of each finger. These sequences depicted a human left
hand that reached out in space and simulated grasping a glass and
bringing it to the mouth. All subjects reported a strong impression of
perceiving this action. Four different sequences of the same hand
action were presented in four blocks. In the post-scanning memory test,
in which discrimination of these four hand action sequences from four
new ones was required, the mean accuracy of performance was 81.8 (range, 50-100%).
Object motion condition. The point-light sequences used
here depicted an abstract geometrical stimulus configuration. These
sequences were constructed by placing the 13 light points on a square
board that was moved in all three spatial dimensions by the
experimenter during the recording session. This resulted in a display
in which the motions of the 13 light points were coherent (as opposed
to random), and of comparable spectral distribution to the body
movement displays. Each sequence was constructed by recording motion
involving translations of the object in the lateral, vertical, and
forward directions and rotations of the object around these spatial
axes to produce movements of the object involving pitch, roll, and yaw.
Four different object motion sequences were presented in four blocks
during scanning. The mean accuracy of performance in the discrimination
of these four object motion sequences from four new ones was 79.5%
(range, 75-100%).
Random motion condition. In this condition, the
sequences presented were random motion patterns. These sequences had
been produced by systematically altering the three-dimensional
positions of the 13 light points used in the body movement sequences.
Each of the three spatial coordinates of each light point was shifted
by different constant amounts (up to 1.2 m in body space). The shifted
points moved in different directions and with different speeds. The
resulting displays contained the same spectral information as the body
movement condition but were ``meaningless'' to the subject. Four
different random motion sequences were presented during scanning. Mean
accuracy in the post-scanning memory test, in which the subjects had to
discriminate these four random motion sequences from four new random
motion sequences, was 71.6% (range, 50-100%).
Random static condition. The aim of this condition was
to provide a control for the random motion condition so that comparison
of activation between them would identify, within the context of our
study, the human homolog of motion area MT/V5 described previously
(Watson et al., 1993 ; Tootel et al., 1995 ). To generate the stimuli
used in this condition, static frames were taken from the random motion
condition sequences. The subjects were told that they would see a
pattern of stationary light points and that they would have to try to
attend to the overall pattern of points. The four stationary patterns
of lights used in this condition were presented for the same duration
as the sequences in the other conditions. Performance in discriminating
between the four familiar and the four new static displays in the
post-scanning test was 53.4% (range, 12.5-62.5%).
PET and MRI data acquisition and analysis
PET scans were obtained using the Scanditronix PC-2048B
tomograph, which produces 15 image slices with a transverse image
resolution of 4.6-6.4 mm and an axial resolution of 5.4-7.1 mm. The
regional distribution of cerebral blood flow (CBF) in experimental and
control scanning conditions was measured by means of the water bolus
H215O methodology (Raichle et
al., 1983 ) without arterial blood sampling. The PET scans were of 60 sec duration. Each subject also underwent a high-resolution magnetic
resonance imaging (MRI) scan (64 slices, 1 mm thick) obtained with a
Philips ACS system (1.5 T). The MRI scans were resliced to be in
register with the PET data (Evans et al., 1991 ). An orthogonal
coordinate frame was then established on the basis of the
anterior-posterior commissure line as identified in the MRI volume
(Evans et al., 1992 ). These anatomical frame coordinates were used to
apply a linear resampling of each matched pair of MRI and PET data sets
into a standardized stereotaxic coordinate system (Talairach and
Tournoux, 1988 ). The PET images were reconstructed with a 20 mm Hanning
filter to overcome residual anatomical variability persisting after the
stereotaxic standardization. These PET images were then normalized for
global CBF value, and the mean intersubject state-dependent change in
CBF was derived by subtracting the values in one state from those in
another. The mean state-dependent change in CBF was converted to a
t statistic volume by dividing each voxel by the mean SD in
normalized CBF for all intracerebral voxels (Worsley et al., 1992 ).
Individual MRI images were subjected to the same averaging procedure
such that composite stereotaxic image volumes were obtained for both
t statistic and MRI volumes. The transformed volumes were
128 × 128 × 80 voxels in extent and sampled at 1.34 × 1.72 × 1.50 mm in the x, y, and z dimensions,
respectively. Anatomical and functional images were merged into a
single data set (Evans et al., 1992 ), a procedure that allows the
following: (1) direct observation of t statistic peaks
(identified by an automatic peak-detection algorithm) on the MRI
images; and (2) the anatomical correlation of extended zones of CBF
change patterns that cannot be expressed in terms of isolated
peaks.
The statistical significance of focal changes in CBF was determined by
a method based on three-dimensional Gaussian random field theory
(Worsley et al., 1992 ). For all peaks within the gray matter volume of
600 cm3 or 200 resels (each of which has
dimensions of 20 × 20 × 7.6 mm), the threshold for reporting a peak
as significant was set at t = 3.5, corresponding to an
uncorrected probability of p < 0.0004 (two-tailed). A
t value of 3.5 yields a false positive rate of 0.58 in the
200 resels explored. For predicted blood flow changes in particular
brain areas, the threshold for significance was set at t = 3.00, corresponding to an uncorrected probability of p < 0.0013.
RESULTS
Subtraction of CBF between conditions was used to reveal activity
changes in one condition with reference to the other. In comparison
with the random static condition, the random motion condition revealed
bilateral CBF changes within the occipitotemporal junction region, at
the confluence of the superior temporal sulcus, the anterior occipital
sulcus, and the middle occipital sulcus (Table 1). This
region is coextensive with the presumed MT/V5 area, which was activated
in previous PET (Watson et al., 1993 ) and functional MRI (Tootell et
al., 1995) studies when activity during the perception of stationary
stimuli was compared with activity during the perception of moving
stimuli. In the present study, we use this focus as a basis of
comparison to evaluate differences in the localization of significant
CBF changes, within the superior temporal sulcal cortex, in other
conditions.
CBF in the body movement and hand action conditions was compared with
CBF in the random motion and object motion conditions. The significant
changes in CBF in the hand action and body movement conditions in
comparison with the random motion control condition are presented in
Tables 2 and 3, respectively. The main
pattern of results when the object motion condition was subtracted from
the hand action and body movement conditions was essentially the same,
and therefore only the differences are presented below.
Table 2 presents the results of the hand action condition compared with
the random motion condition. Significant activity was observed within
the superior temporal sulcal cortex, in its caudal extent. This
activity was confined within the upper bank of the caudal section of
the superior temporal sulcus (see Fig. 1) in the left
hemisphere. This region may be involved in later stages in the
processing of motion-related information within the human dorsal
occipital pathway.
Fig. 1.
Merged PET-MRI sections at x = 48
(sagittal section) and y = 61 (coronal section) to
illustrate the activity within the upper bank of the left caudal
superior temporal sulcus, in the hand action minus random motion
condition. Note that the activity extends into the posterior
temporo-occipital region. sts, Superior temporal sulcus. In
the coronal section, the subject's left is on the left
side.
[View Larger Version of this Image (68K GIF file)]
Table 3 presents the significant CBF changes in the body movement
condition compared with the random motion condition. In contrast to the
hand action condition, in the body movement minus random motion
subtraction, the significant changes were confined to the rostrocaudal
section of the superior temporal sulcus in the right hemisphere
(Table 3, Fig. 2). This focus was within the ventral
bank of the superior temporal sulcus and the adjacent lateral convexity
of the middle temporal gyrus.
Fig. 2.
Coronal merged PET-MRI section at y = 60 to illustrate activity in the lower bank of the right
rostrocaudal superior temporal sulcus and adjacent temporal cortex
in the body movement minus random motion condition.
[View Larger Version of this Image (83K GIF file)]
An extremely interesting result is the significant activity observed in
the amygdala, bilaterally, in the body movement minus random motion
subtraction (Table 3, Fig. 3). This activity extended
into the adjacent entorhinal and perirhinal cortex. Significant changes
were also observed in other structures that are architectonically
related to the limbic system: the caudal orbitofrontal cortex, the
fusiform gyrus, the subcallosal gyrus, and the septum. In addition,
activity was observed in striatal areas, such as the nucleus accumbens
and the body of the caudate nucleus.
Fig. 3.
Coronal merged PET-MRI section at y = 1 to illustrate activity within the amygdala in the body movement
minus random motion condition. Note that the activity is more intense
on the right side.
[View Larger Version of this Image (83K GIF file)]
Compared with the object motion condition, the hand action condition
showed significant activity in the left caudal-most part of the
superior temporal sulcus ( 49, 68, 15; t = 3.94), whereas
the body movement condition showed significant activity in the amygdala
bilaterally (Right: 32, 1, 35; t = 3.26; Left: 25,
6, 21; t = 4.64), confirming the results of the previous
subtractions. In addition, there was bilateral activity in the cortex
of the superior parietal lobule (Right: 11, 63, 65; t = 4. 17; Left: 23, 64, 66; t = 3.00) in the hand action
condition.
Table 4 presents the results of the subtraction of
activity between the hand action and body movement conditions. This is
a stringent test aimed at revealing CBF changes that are specific to
one experimental task compared with the other. Note that the activity
in the foci of the left and right superior temporal sulcus was now
subtracted out, demonstrating that these regions were involved in both
conditions. Therefore, the differential involvement of the superior
temporal sulcus in the hand action and body movement conditions,
revealed in the comparison of each one with the random motion
condition, is relative. The results of the hand action and body
movement comparison confirmed the involvement of the caudal superior
parietal cortex (Fig. 4) and the adjacent medial part of the
intraparietal sulcus in the hand action condition.
Significant bilateral activity was also observed in the
inferior parietal lobule, extending into the middle and
anterior parts of the intraparietal sulcus in the left hemisphere (Fig.
5).
Fig. 4.
Coronal merged PET-MRI section at y = 67 to illustrate activity within the caudal superior parietal cortex
in the hand action minus body movement condition. Note that the
activity lies medial to the intraparietal sulcus.
[View Larger Version of this Image (80K GIF file)]
Fig. 5.
Coronal merged PET-MRI section at y = 44 to illustrate activity within the left intraparietal sulcus in the
hand action minus body movement condition. Note that the activity in
the right hemisphere is located in the inferior parietal lobule.
ips, Intraparietal sulcus.
[View Larger Version of this Image (82K GIF file)]
For the body movement task in relation to the hand action task (see
Table 4), significant changes were observed within the amygdala
bilaterally, confirming once again the preeminent involvement of this
structure in the body movement condition.
DISCUSSION
The present experiment explored the neural systems involved in the
perception of meaningful body movement. Two types of motion were
investigated: one involved goal-directed action of the hand (i.e.,
imitating the act of reaching toward a glass, picking it up, and
bringing it to the mouth), and the other involved an expressive
dancing-like movement of the whole body. Perception of a script of
goal-directed action of the hand resulted in significant activity
within the intraparietal sulcus, as well as in the caudal superior
temporal sulcus, both in the left hemisphere (Tables 2, 4, Figs. 1, 5).
Furthermore, a direct comparison between these two types of biological
movements (see Table 4) showed that the perception of the action of the
hand yielded the strongest activity within the parietal cortex (Table
4, Fig. 5). This finding is of considerable interest in the context of
an extensive literature going back to the pioneering work of Liepmann
(1908) , which has consistently shown that left posterior cortical
lesions give rise to severe disturbances in the production and
comprehension of goal-directed reaching (Fisk and Goodale, 1988 ;
Winstein and Pohl, 1995 ). It has been suggested that the involvement of
the left hemisphere in the control of action may be related to the
temporal segmentation of the discrete components of the movement
(Kimura, 1982 ).
Single-cell recording studies in behaving monkeys have shown that
activity within the intraparietal sulcus and adjacent inferior parietal
cortex is critical for the conversion of the retinal coordinates of
visual stimuli into a body-centered frame of reference and the
integration of visual with somatosensory and vestibular signals
necessary for motor planning (Mountcastle et al., 1975 ; for review, see
Andersen, 1987 ). Furthermore, it has been shown that there is a class
of neurons in the intraparietal sulcus and adjacent inferior parietal
cortex that have response properties relating the pattern of hand
movement to the visuospatial characteristics of the object to be
manipulated (Taira et al., 1990 ; Sakata et al., 1992 ). More recently,
Sakata and colleagues (1995) demonstrated that the majority of these
highly selective ``hand manipulation'' neurons were located in the
rostral part of the ventral bank of the intraparietal sulcus. Injection
of muscimol into this region resulted in marked disorders in the
preshaping of the hand during the manipulation of an object (Gallese et
al., 1994 ). It is of considerable interest that our activation foci
within the intraparietal sulcus in the hand action condition (Table 4,
Fig. 5) extended from its midsection all the way to the anterior tip.
There was no significant activity in the caudal part of the
intraparietal sulcus.
The cortex of the intraparietal sulcus and adjacent inferior parietal
lobule receives input from several areas within the caudal superior
temporal sulcus that is involved in visual motion perception (Maunsell
and Van Essen, 1983 ; Andersen et al., 1990 ; Boussaoud et al., 1990 ).
Recent functional neuroimaging studies have shown that the presumed
homolog of the motion area MT/V5 in the human brain lies at the tip of
the ascending limb of the inferior temporal sulcus, namely at the
dorsal border between the temporal and occipital lobes (Watson et al.,
1993 ; Tootel et al., 1995 ). This area was activated when random motion
was compared with static displays. In the present study, activity was
also observed in this region in the random motion minus random static
condition (Table 1). Thus, the hand action minus random motion
condition reveals activation in which the effect of baseline random
motion has been removed. This subtraction demonstrated a significant
activity focus within the left caudal superior temporal sulcus (Table
2, Fig. 1) that was located dorsal to the presumed MT/V5 homolog and
probably represents activity in higher-order areas in the dorsally
directed ``motion'' system leading to the parietal cortex. In this
context, it is significant that posterior lesions of the superior
temporal sulcus, as with those of the inferior parietal lobule, impair
the monkey's ability to move an object with its hand within a
particular spatial trajectory (Petrides and Iversen, 1979 ).
The present study has revealed the important role of
temporoparietal interactions involving the caudal superior
temporal sulcus and the intraparietal sulcus, both in the left
hemisphere, and the superior parietal cortex for the interpretation of
scripts of goal-directed hand action. In an earlier study, we had shown
that the left intraparietal sulcus and the superior parietal cortex
were engaged when the subject was mentally transforming the position of
his own hand (Bonda et al., 1995b ). Thus, the perception of another
person's action involves parietal systems underlying mental
transformations of the body.
A striking contrast between the activation patterns observed in
relation to the two instances of biological motion investigated here
lies in the involvement of the limbic structures. The body movement
condition, but not the hand action condition, resulted in an increase
in CBF within the amygdaloid region (Table 3, Fig. 3) and other limbic
structures that are closely interconnected with the amygdala, such as
the subcallosal gyrus, the septal area, and the caudal orbitofrontal
cortex (Table 3). The increased activity in the amygdala in the body
movement condition was a consistent finding and was confirmed in three
separate subtractions: body movement minus random motion, body movement
minus hand action, and body movement minus object motion.
The amygdaloid system has been traditionally discussed in terms of its
involvement in stimulus-reward associations (Jones and Mishkin, 1972 )
and in the experience of various emotional states, such as fear (Gloor
et al., 1982 ). Electrical stimulation of the amygdala in experimental
animals (Ursin and Kaada, 1960 ; Kaada, 1972 ) and humans (Mark et al.,
1972 ) evokes stereotyped motor patterns of defense, flight, orienting
movements, etc. Lesions of the amygdala in the monkey severely impair
behaviors necessary for the establishment and maintenance of social
bonds (Rosvold et al., 1954 ; Steklis and Kling, 1985 ). For instance,
such monkeys exhibit virtual absence of conspecific communication
gestures (Dicks et al., 1969 ) and respond inappropriately to
solicitation signals by normal monkeys (Kling and Cornell, 1971 ).
Patients with amygdala lesions perform inadequately in perceptual tasks
requiring recognition of facial expressions (Jacobson, 1986 ; Adolphs et
al., 1994 ; Young et al., 1995 ). In the context of these data, we
propose that the activity in the amygdala may reflect the emotional
dis-position experienced by the perceiver in response to the behavior
perceived. The present PET findings provide a demonstration of
functional interactions between the temporal neocortex, endpoint of the
visual perceptual system (Mishkin, 1982 ), and the amygdala. Note that
the activity in the amygdala was restricted predominantly to the right
hemisphere, the function of which has been related to emotional
processing (for review, see Heilman et al., 1993 ).
The body movement condition also yielded significant activity in the
lower bank of the rostrocaudal portion of the superior temporal sulcus,
as well as in the adjacent middle temporal cortex (Table 3, Fig. 2). In
the monkey, this part of the superior temporal sulcus and adjacent
temporal cortex, which comprises primarily unimodal visual cortex
(Seltzer and Pandya, 1978 ), is extensively connected with the amygdala
(Aggleton, 1980; Amaral and Price, 1984 ; Yukie et al., 1990 ).
Consistent with the PET findings, a patient with lesion involving the
dorsal occipitoparietal cortex, but sparing the temporal lobe, showed
specific deficits in many early aspects of motion analysis but normal
performance in the recognition of patterns of light dots representing
whole body movements (Vaina et al., 1990 ). Interestingly, some neurons
in the superior temporal sulcus of the monkey, recorded in its anterior
upper bank, were first reported by Bruce et al. (1981) to respond
selectively to body movements, an observation subsequently confirmed by
others (Perrett et al., 1985 ; Oram and Perrett, 1994 ).
The present study has demonstrated that the interpretation of different
types of biological motion engages brain systems in a differential
manner. Consistent with this is psychophysical evidence that different
mechanisms operate for the perceptual analysis of various categories of
biological motion (Dittrich, 1993 ). The perception of scripts of
goal-directed hand action selectively activated areas in the posterior
part of the left hemisphere within the intraparietal sulcus and the
caudal superior temporal sulcus. By contrast, the perception of signs
embedded in expressive body movements involves interaction between
temporal neocortex and limbic areas critical for emotional effector
patterns of behavior.
FOOTNOTES
Received Oct. 24, 1995; revised March 1, 1996; accepted March 19, 1996.
This work was supported by the McDonnell-Pew Program in Cognitive
Neuroscience; the Medical Research Council and Natural Sciences and
Engineering Research Council (Canada); and a predoctoral fellowship to
E.B. from the Ministère de la Recherche et de la Technologie
(France). We thank Jorge Moreno, Stephen Frey, and Sylvain Milot for
technical assistance.
Correspondence should be addressed to Eva Bonda, Cognitive Neuroscience
Unit, Montréal Neurological Institute, McGill University, 3801 University Street, Montréal, Québec, Canada H3A
2B4.
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