Children with one of two developmental disorders, Autism and

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Grice et al. Abnormal of Illusory Contour Perception in WS
In press, NeuroReport.
ERP Abnormalities of Illusory Contour Perception in Williams
Syndrome
Sarah J. Grice1&2, Michelle de Haan3, Hanife Halit1, Mark H. Johnson1CA,
Gergely Csibra1, Julia Grant2 & Annette Karmiloff-Smith2
1
Centre for Brain and Cognitive Development, School of Psychology,
Birkbeck College, University of London
2
Neurocognitive Development Unit, & 3 Developmental Cognitive
Neuroscience Unit, Institute of Child Health, London
Running title: Abnormal of Illusory Contour Perception in WS
CA
Corresponding Author
Birkbeck College, Malet Street, London WC1E 7HX, United Kingdom
e-mail: Mark.Johnson@psych.bbk.ac.uk Tel: +44 207 631 6231, Fax: +44 207 631
6587
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Grice et al. Abnormal of Illusory Contour Perception in WS
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Grice et al. Abnormal of Illusory Contour Perception in WS
Abstract
Williams syndrome is a genetic disorder in which visuo-spatial performance
is poor. Theorists have claimed that the deficit lies in high-level
processing, leaving low-level visual processes intact. We investigated this
claim by examining an aspect of low-level porcessing, perceptual completion,
i.e., the ability of this clinical group to perceive illusory Kanizsa
squares. We then used event-related potentials to examine neural correlates
of perceptual completion. While participants were able to perceive illusory
contours, the neural correlates of this apparently normal perception were
different from controls. Such differences in low-level visual processes may
significantly impact on the development of higher-level visual processes.
We conclude that, contrary to earlier claims, there is atypical neural
processing during low-level visual perception in Williams syndrome.
Keywords: Williams Syndrome; Genetic Disorder; Kanizsa; Subjective figure;
ERP; N1
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Grice et al. Abnormal of Illusory Contour Perception in WS
Perceptual completion is important for meaningful processing of visual inputs since
objects in the real world are often partially occluded by other objects. Subjective
figures have been used to study the properties of the visual system that enable this
integrative processing of visual fragments. The Kanizsa Square is a common example
of such a stimulus. When the four ‘pacmen’ inducer discs are properly aligned (see
Figure 1), people perceive an illusory white square contour with edges occluding four
filled circles [1]. The illusory percept is not induced when the pacmen elements are
rotated (‘Pacmen’ stimulus, see Figure 1). Behavioural evidence obtained using
habituation and preferential looking paradigms suggests that typically developing
infants are subject to boundary contour completion from four months of age [2].
The neurophysiological basis of illusory contour perception has been vigorously
debated [3]. However, it is now thought that processing of subjective and real
contours (e.g., a real square, Figure 1c) takes place in the same visual areas [4,5].
Perception of these contours is a ‘bottom-up’ process, i.e., it is not ordinarily subject
to control from higher cortical regions, although it is regulated by complex lateral,
feedforward and feedback connections within visual cortex [3]. Converging evidence
from a number of neuro-imaging studies utilising functional magnetic imaging
(fMRI), positron emission topography (PET) and event-related potential (ERP)
techniques suggests that striate (V1) and extra-striate (mainly V2 but also V3 and V4)
areas are involved in this process [3-10].
One of the most sensitive and reliable measures of extra-striate processing of illusory
contours is the N1 component of the transient visual event-related potential [3]. The
N1 component is a negative deflection in the ERP waveform at about 145-180 ms
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Grice et al. Abnormal of Illusory Contour Perception in WS
post-stimulus. It is maximal over bi-lateral occipito-temporal scalp areas and is
increased in amplitude for an illusory Kanizsa Square compared to a Pacmen figure or
a Real Square. This sensitivity of the N1 component to illusory contours has been
documented in a number of studies [3-6].
Williams Syndrome (WS) is a rare developmental disorder caused by microdeletion
on chromosome 7 [11]. Characteristics of the disorder have been identified at the
physical, behavioural, cognitive, and neurophysiological levels [11-14]. For example,
people with WS tend to show poor visuospatial skills but are relatively proficient on
face and language processing. It remains unclear why people with WS perform
poorly on visuospatial tasks. One suggestion is that early visual processing is ‘intact’,
while higher level abilities involved in visual ‘construction’ are impaired [15,16]. An
alternative proposal is that individuals with WS employ an unusual perceptual style in
that they tend to process visual stimuli more by the parts than the whole [17-19].
Perceptual completion is probably the lowest level visual process through which the
parts of a stimulus are seen as a whole. People with WS are subject to perceptual
completion when tested using standardised behavioural tests [20]. However, it is
unclear whether this process has developed in the normal way at the neural level. It is
possible that the apparently normal behaviour of the WS visual system could be
subserved by atypical neural mechanisms. If the neural basis of perceptual completion
has developed abnormally in WS, then this low-level processing could have a
significant influence on the development of higher-level visual processes.
Furthermore, if the neural basis of perceptual completion is atypical in WS, then
visual perception cannot be legitimately claimed to be ‘intact’ in this population.
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Grice et al. Abnormal of Illusory Contour Perception in WS
The aim of the current study is: 1) to ascertain whether people with WS perceive
illusory boundary completion in a behavioural test, and 2) to investigate variations in
the amplitude of the N1 ERP component in this clinical population. If early
perceptual processes are the same in Williams Syndrome as in controls, then the
Kanizsa square should elicit a larger N1 than does the Pacmen stimulus. Alternatively,
the neural mechanisms subserving illusory contour perception may have developed
differently in Williams Syndrome. If this is the case, then the N1 amplitude may not
discriminate between the Kanizsa Square and the Pacmen stimulus.
Method
Participants: Participants were 15 individuals with WS ranging in age from 10 to 50
years (mean CA: 20.9 (12.2) years), and 15 age and sex-matched controls (mean CA:
21.1 (12.4) years). There were 7 females and 8 males in each group. No participants
were excluded from analysis.
Stimuli: There were four types of stimuli: 3 experimental stimuli (illustrated in Figure
1) and a set of images of human faces, all presented on a dark grey background of a
computer monitor. Each trial started by presenting a small light grey square (fixation
stimulus) in the centre for a varying duration of 800-1200 ms, which was then
replaced for 307ms by one of the experimental stimuli or a human face. The stimulus
offset was followed by a 500-ms-long inter-stimulus interval before the fixation
stimulus returned. The faces were presented to maintain participants’ attention. All
stimuli measured 3.8 degrees of visual angle (from 75cm distance), and the size of the
illusory square produced from the Kanizsa stimulus was the same size as the real
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Grice et al. Abnormal of Illusory Contour Perception in WS
square at 2.3 degrees of visual angle. The four types of stimuli were presented in
random order with equal probability (25%). In order to ensure that participants
attended to the stimuli, they were instructed to press a button on each presentation of a
face. Electrophysiological responses to faces were not analysed.
- Figure 1 about here -
ERP Procedure: The experiment took place in a dimly lit, sound proofed, and
electrically shielded booth. The electroencephalogram (EEG) was recorded using a
Geodesic Sensor Net of 128 electrodes [21], against a vertex reference, amplified with
a 0.1 to 100-Hz bandpass filtering. Participants were positioned in the sound booth
behind a small table on which they were asked to rest their arms. On the table was a
button box with one large red and one large blue button. The experimenter explained
that the red button should be pressed every time a face appeared on the screen. The
hand used to press the button depended on the individual’s preferred use. Participants
were asked to practise pressing the button several times without looking down at their
hand as they did so. This was mastered immediately by all taking part. A practice
session using the same stimuli as the experiment was then carried out with a helper or
parent inside the testing booth to instruct and encourage where necessary, until the
individual understood the requirements of the task (when they pressed only to all
faces and not to other stimuli). This took less than one minute for all participants,
except for the youngest male with WS for whom it took approximately four minutes
(because he enjoyed pressing the button to every stimulus). The behavioural response
accuracy in experimental trials averaged 97% for both groups. ERP data from all
practice sessions were discarded.
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Grice et al. Abnormal of Illusory Contour Perception in WS
Stimuli were randomly presented in four mixed stimuli blocks of 110 trials. Between
blocks the participant was offered a short break. The recordings from the first 10 trials
of each block were discarded. The EEG was digitized at a 250-Hz sampling rate,
stored on a computer disk and segmented offline into EEG trials with 200-ms prestimulus and 600-ms post-stimulus onset duration. Movement and electrical artefacts
(+ /- 150 microvolts) were identified and rejected by trial-by-trial inspection of the
recorded EEG. All participants achieved 24 or more valid artefact-free trials in each
condition.
ERP analyses: Event-related potentials for each participant were calculated by
averaging the time-locked EEG segments within stimulus types. The ERPs were
digitally filtered with an elliptical low-pass filter at 30Hz, converted to an average
reference and adjusted with reference to a 100-ms-long pre-stimulus baseline. For
statistical analyses electrodes were selected in the bi-lateral temporal-occipital areas,
illustrated in Figure 2, on the basis of previous studies and the corresponding region
of maximal N1 activation in the present study. The amplitude of the N1 component
was measured at the peak of the maximal negative deflection within the time window
between 108ms and 228 ms for both groups of participants. This window was
determined as the range of peak-latency of the N1 component which was identified
manually for the same 3 posterior electrodes for each participant. The N1 values
measured separately at each electrode were then averaged together to give a single
value for both amplitude and latency for each participant. Statistical analyses were
carried out on these data using Analysis of Variance, with stimulus (3 levels) as a
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Grice et al. Abnormal of Illusory Contour Perception in WS
within-subject factor and group (2 levels) as a between-subject factor. This analysis
was followed up by t-tests where necessary for interpretation.
Behavioural Experiment: All participants with WS also took part in a experiment in
which the ability to discriminate between the experimental stimuli was tested without
recording electrophysiological data. Since the task was very simple, it was assumed
that performance would be at ceiling for the normal control participants. The stimuli
were exactly the same as those used for the ERP experiment. There were, by
necessity, some differences to the procedure. Before the experiment started or
instructions had been given, the experimenter displayed a square (different to the
experimental stimulus) on the computer screen and asked the participant to identify
the shape. The experimenter then displayed a flower and asked the participant ‘is
there a square on the screen now?’ All participants correctly answered both questions.
Instructions were then given that the computer would display different pictures one at
a time and that the participant should say Yes if a square is present, and No if there is
no square on the screen. Stimulus presentation was the same as for the ERP
experiment, except that the ISI was dependent on a button press by the experimenter.
A pilot study indicated that the participants were unable to cope with the demands of
pressing the Yes / No buttons themselves. For this reason, the experimenter inputted
their verbal response. Reaction-time data were not analysed for this reason. Each
participant received 20 trials of each of the 4 experimental stimuli. At the end of the
experiment a Kanizsa square stimulus was displayed. The participant was asked
whether a square is present, and if so to trace around the square with their finger.
- Figure 2 about here -
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Grice et al. Abnormal of Illusory Contour Perception in WS
Results
Figure 3 illustrates the ERPs at posterior sites to each stimulus in both groups. In the
ANOVA on the N1 amplitude, there was no main effect of group (F(1,28) =.24,
P=NS), indicating that N1 activation over all stimuli was not different between the
WS and control groups. However, there was a highly significant main effect of
stimulus (F(2,56)=12.67, P<.001). Further analysis of this effect showed no difference
between the responses to the Kanizsa Square and Pacmen stimuli when the two
groups were collapsed (t(29)=1.14, P=NS), but both stimuli elicited a larger N1
amplitude than did the Real Square stimulus (Kanizsa vs. Real Square, t(29)=2.28,
P<.05; Pacmen vs. Real Square, t(29)=3.48, P<.05). The prediction based on the
hypothesis of abnormal early visual processing in WS was supported by a significant
group-by-stimulus interaction (F(2,56)=7.66, P<.001). In the control group, the N1 to
the Kanizsa Square was significantly larger than that to the Real Square (t(14) = 2.6,
P<.05), which was in turn significantly larger than the N1 to the Pacmen (t(14)=2.53,
P<.05) (see Figure 3). By contrast, for the WS group there was no difference between
the N1 amplitude elicited to the Kanizsa Square and the Pacmen stimuli (t(14)=.97,
P=NS), but the N1 amplitude elicited by both was significantly more negative than
that to the Real Square (Kanizsa vs. Real Square, t(14)=2.97, P<.05; Pacmen vs. Real
Square, t(14)=1.78, P<.05). There were no significant differences in N1 latency across
stimuli (F(1,28) = 1.36, P=NS) or group (F(1,28) =1.46, P=NS), and there was no
interaction of stimulus latency with group (F(1,28) =.84, P=NS).
-Figure 3 about hereFor the behavioural task, all participants were able to identify a square and reject a
non-square. All participants were able to perceive the Kanizsa square and to trace
around it with their finger. Two participants were unable to cope with the demands of
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Grice et al. Abnormal of Illusory Contour Perception in WS
the behavioural task, and 1 was unable to take part for other reasons. The average
score for the remaining 12 participants was at the ceiling level of 19/20 trials correct
(range 15-20 /20 correct) for each of the experimental stimuli.
Discussion
The results from this study show that while people with Williams Syndrome can
perceive illusory contours, the neural mechanisms that support this process are
atypical. Despite the fact that the overall size of the N1 response was normal, the
differences in amplitude between stimuli were abnormal in WS compared to healthy
controls. These data offer only partial support for the oft-cited view that early visual
processing is ‘spared’ in the disorder whereas visuomotor construction is impaired
(Farran, Jarrold & Gathercole, 2001; Mervis, Robinson, & Pani, 1999), since the
neural correlates display functional differences to controls (see also Grice et al. 2001).
Our present study contained no ‘construction’ component, yet our clinical participants
showed significantly different patterns of cortical activation compared to controls. It
is unlikely that visual construction abnormalities over development could have caused
the abnormalities in the functioning of these early perceptual mechanisms. Equally,
deficits on visuospatial tasks such as drawing and ‘pattern construction’ are unlikely
to be caused solely by an impairment in ‘visual construction’ ability. More plausible
is our hypothesis that neural mechanisms supporting early perceptual processes are
disordered in WS, and that this could have multiple consequences for higher visual
processing.
One other study has also suggested that perceptual processing in WS may be
disordered. Grice et al. (2001) found gross abnormalities of binding-related oscillatory
gamma-band activity in adults with WS during perception of faces. The oscillatory
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Grice et al. Abnormal of Illusory Contour Perception in WS
response in the WS group was abnormal in that it was not modulated by differences in
the orientation of the face. In addition, the gamma-band activity was disorganised and
‘smeared’ in a manner similar to that found by Csibra et al. [22] in very young infants
before organised, adult-like gamma-bursting appears at around 8 months of age.
Recent research has suggested that gamma-band integration processes may be
modulated by top-down cortical control. Our current data provide further evidence
that processes involved in perceptual integration are atypical in WS. However, the
atypical N1 response is likely to reflect abnormalities at the bottom-up sensory level
associated with extra-striate visual processing mechanisms.
There are other possible explanations for the lack of difference between the N1
amplitudes to Kanizsa Square and Pacmen stimuli in the WS group. The most
conservative hypothesis is that a possible increase in activity to the Kanizsa Square is
too small to be detected at the scalp due to differences in neuroanatomy between WS
and control participants. However, this appears unlikely since the overall amplitude of
the N1 in WS was normal, and there was a significant difference between the
responses to these stimuli and to the Real Square. Alternatively, it may be that the N1
activation to the Kanizsa Square did reflect the encoding of the illusory square in WS,
but that the N1 to the Pacmen was enlarged and reaching equal amplitude for a
different reason. However, it is difficult to determine a property of the Pacmen
stimulus that is not shared with the Kanizsa or Real square.
Conclusion
Individuals with WS are subject to illusory contour perception. Our behavioural
results demonstrate that people with WS can clearly discriminate between the
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Grice et al. Abnormal of Illusory Contour Perception in WS
experimental stimuli, can identify the illusory square and can trace around it with their
finger. On the basis of current evidence, however, we conclude that the neural
mechanisms underlying early perceptual processing in WS are functionally different
from those of typically developing controls, and that this may have downstream
consequences for higher-level integration or when demands on the perceptual system
are more strenuous than in the current behavioural experiment. An interesting
possibility is that the encoding of the illusory square, which enables the successful
behavioural performance, happens later in the processing stream in WS than in
healthy individuals. The present study provides a first step in establishing the nature
of the abnormalities in sensory processing in WS. Our findings conclusively
challenge the idea that it is only the later ‘construction’ stages of visual processing
that are atypical in this genetic disorder. Rather, we have shown that the neural
mechanisms underlying a fundamental early visual process are atypical in Williams
Syndrome. Further, we suggest that this abnormality is likely to contribute to
previously observed deficits in later visuospatial processing.
Acknowledgements
We thank the Williams Syndrome Foundation (UK) and the families that participated.
Financial support came from the UK Medical Research Council (PhD studentship and
Programme Grant Nos. G9715642 and G9715587).
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Grice et al. Abnormal of Illusory Contour Perception in WS
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Figure Legends
Figure 1: The three experimental stimuli used for both behavioural and ERP
experiments. See text for description.
Figure 2: A schematic showing the scalp locations of the bi-lateral occipital and
temporal sites selected for ERP analysis.
Figure 3: The grand average ERP waveforms to the three stimuli averaged over
bilateral occipito-temporal scalp areas.
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