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The Journal of Neuroscience, 2000, 20:RC72:1-5
RAPID COMMUNICATION
Cerebral Asymmetry of the "Top-Down" Allocation of Attention
to Global and Local Features
Shuhei
Yamaguchi,
Shingo
Yamagata, and
Shotai
Kobayashi
Department of Internal Medicine III (Neurology), Shimane Medical
University, Izumo 693-8501, Japan
 |
ABSTRACT |
Neuropsychological and neuroimaging studies have indicated that
global and local features of a visual scene are processed differentially by the two hemispheres. Although visual selective attention is suggested to play a role in the hemispheric asymmetry, the
precise mechanism of attentional control for the global-local processing is not fully understood. We investigated the neural correlates of cerebral asymmetry in directing attention to the global
pattern and local components of a hierarchical stimulus. Event-related
brain potentials (ERPs) were recorded while the subjects shifted their
attention to the global or local level of a hierarchically structured
letter. The shift direction was controlled by a preceding cue stimulus.
The ERPs to the cue stimuli demonstrated that the right
temporal-parietal and left posterior temporal regions were
differentially activated during attentional allocation to the global
and local levels, respectively. These effects started 240 msec after
the cue stimulus. The late ERP components to the target stimuli also
manifested the hemispheric global-local asymmetry as seen during the
attentional shift. These electrophysiological results provided an
asymmetrical neural basis for the "top-down" allocation of
attention to global and local features and revealed the contribution of
the temporal-parietal cortex to this attentional mechanism.
Key words:
cerebral asymmetry; global and local attention; attention
shift; hierarchical stimulus; event-related brain potential; temporal-parietal cortex; current source density
 |
INTRODUCTION |
Hemispheric
asymmetry associated with human perception of hierarchically organized
visual scenes has received considerable attention (Sergent, 1982
;
Robertson and Lamb, 1991
; Brown and Kosslyn, 1993
; Ivry and Robertson,
1998
). Regarding perceptual representation, the most striking
difference is at the level of the scale for encoding objects. The left
hemisphere is relatively better at encoding component parts (local
level), whereas the right hemisphere is relatively better at encoding
overall patterns (global level). Lesion studies have demonstrated that
damage to the posterior superior temporal gyrus in the right hemisphere results in selective difficulty in identifying features at the global
level, whereas homologous lesions in the left hemisphere result in
selective difficulty in identifying objects at the local level
(Robertson et al., 1988
; Lamb et al., 1990
).
Psychological experiments have suggested that the allocation of
attention to particular spatial frequencies might play an important
role in the hemispheric asymmetry (Kitterle et al., 1990
; Christman et
al., 1991
). When a subject is required simply to detect a target within
a compound stimulus, no difference is noted in the response time to
high- or low-frequency stimuli presented in the right or left visual
fields. On the other hand, when the subjects are asked to discriminate
the target stimuli, the reaction times are faster for high-frequency
stimuli presented in the right visual field and for low-frequency
stimuli presented in the left visual field.
A positron emission tomography (PET) study demonstrated distinct foci
of brain activation during sustained attention to global and local
features (Fink et al., 1996
). Directing attention toward the global
form resulted in activation of the right lingual gyrus, whereas locally
directed attention activated the left inferior occipital cortex.
Furthermore, this study showed that the temporal-parietal area plays a
supervisory role in attentional control for global and local processing
within the prestriate cortex. This "top-down" attention mechanism
appears consistent with the neuropsychological data (Robertson et al.,
1988
). However, PET technology did not provide precise information
about the relationship between attention-switching processes and
hemispheric asymmetry. The time course of cortical activation related
to attentional allocation was also difficult to delineate using PET or
functional magnetic resonance imaging (MRI) (Fink et al., 1997
;
Martinez et al., 1997
).
We addressed these issues by recording event-related brain potentials
(ERPs) with high-density electrode arrays during a task requiring an
attention shift, triggered by a cue stimulus preceding a hierarchical
letter stimulus. A cueing study is suitable for examining neural
processes related to the attention shift itself (Robertson et al.,
1993
; Kotchoubey et al., 1997
), although most previous ERP studies have
dealt with the processing of global and local features per se (Heinze
and Munte, 1993
; Johannes et al., 1996
; Heinze et al., 1998
; Proverbio
et al., 1998
; Han et al., 1999
). The current study provided
electrophysiological evidence for lateralized hemispheric
specialization for allocation of visual attention to global and local
features; the left temporal-parietal and right temporal cortical
regions were activated differently by shifting attention to global and
local levels, respectively.
 |
MATERIALS AND METHODS |
Subjects. The subjects were 16 normal, right-handed
(Oldfield, 1971
) volunteers (15 males and 1 female) recruited from our university population. The volunteers ranged from 25 to 40 years of
age, and all had normal or corrected-to-normal visual acuity. Informed
consent was obtained before the experiment.
Stimuli. The subjects were seated in a chair in an
electrically shielded, sound-attenuated room with dimmed lights. The
stimuli, which were white images presented on a black background, were presented on a 20-inch color monitor placed 70 cm from the subject's eyes. The experiment consisted of 620 trials. Each trial began with the
presentation of a cue, followed by a compound stimulus (Fig.
1). The cue consisted of four bars with
or without an arrowhead placed at each corner of an imaginary
rectangular frame, subtending 1.3° (horizontal) × 1.7°
(vertical) of visual angle. This visual angle was intermediate between
the global and local letters forming a compound stimulus. There were
three types of cues: outward-pointing arrowheads (global cue), inward-
pointing arrowheads (local cue), and oblique bars without arrowheads
(neutral cue). The cue remained on the monitor for 800 msec until the
presentation of a compound stimulus. A compound stimulus consisted of a
global letter (H or S) made up of local letters (H or S) in a 5 × 5 matrix. The global and local letters subtended 2.5 × 3.5 and
0.35 × 0.5° of visual angle, respectively. The compound
stimulus remained on the monitor for 100 msec. The interstimulus
interval between the compound stimulus and next cue was 1100 msec,
during which time no stimulus was present on the monitor. There was no
central fixation mark on the monitor, because a central fixation mark
may require subjects to adjust their attention to spatial frequencies
other than those of the cue and compound stimuli.
Procedure. A go/no-go task was adopted in this study. The
subjects were instructed to press a button with the right index finger
as quickly and accurately as possible when a target letter (H or S) was
presented at the hierarchical level designated by cue stimuli. When the
cue stimulus was neutral, the subjects had to respond to target stimuli
presented at either hierarchical level. The assignment of the target
letter (H or S) was counterbalanced across subjects before the
experiment. The global cue indicated that the subjects should attend
only to the global letter and ignore the local letter. The local cue
indicated that the local letter should be identified and the global
letter ignored. The neutral cue provided no information regarding the
target level to be attended. The cues were delivered in a pseudorandom
order with probabilities of 29% for the global and local cues,
respectively, and 42% for the neutral cue. After the global cue was
presented, the target letter appeared at both levels (congruent trial)
or only at the global level (global incongruent trial) with an equal probability (12.5% among all of the trials). In some trials, a nontarget letter appeared at both levels with a lower probability (4.0%, no-go trial). For the local cue trial, the same probabilities were applied, except the target letter was at the local level for the
incongruent trial (local incongruent trial). The neutral cue was
followed by one of four types of compound stimuli, congruent (12.5%),
global incongruent (12.5%), local incongruent (12.5%), or nontarget
trials (4.5%, no-go trial). To obtain enough electrophysiological data
for target stimuli, the probability of nontarget (no-go) trials was
relatively low as a consequence (12.5% among all of the trials).
ERP recording and data analysis. ERPs were recorded from the
scalp using a 128-channel electroencephalograph (EEG) net (Electrical Geodesics, Inc., Eugene, OR). The scalp locations of these channels are
shown in Figure 2, bottom left
corner. All of the electrodes were referenced to the vertex
channel during the recording. The EEG samples were amplified with a
0.01-50 Hz bandpass filter, digitized at a rate of 250 samples/sec,
and stored on a hard disk for off-line analysis. The EEGs were averaged
over 1200 msec, time-locked to the cue and target, for each condition
separately, including 200 msec of a prestimulus baseline. Individual
trials with excessive muscle activity (>70 µV peak-to-peak) or eye
movement (>70 µV peak-to-peak amplitude) were excluded. The averaged
data were rereferenced algebraically to an averaged value across all electrodes.

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Figure 2.
Electrophysiological indices of the
attention shift to global and local features. Two subtracted grand
averaged ERPs to cue stimuli were compared; the thick
line is for a global shift (global cue neutral cue),
and the thin line is for a local shift (local cue neutral cue). The shaded area indicates that
significant interactions were observed between shift direction and
hemisphere. Bottom left corner, Arrangement of the
high-density electrode arrays and the locations of the grouped
electrodes (a-p) over the skull.
|
|
We separated the electrode array into eight groups (lateral frontal,
medial frontal, anterior temporal, central, posterior temporal,
parietal, lateral occipital, and medial occipital), and ERPs within
each electrode group were collapsed for the statistical analyses (see
Fig. 2). The mean amplitudes were calculated at 20 msec intervals
between the cue and target onset with reference to the 200 msec
prestimulus baseline. To obtain neural activity related to the shift of
attention to global and local features, we subtracted the ERPs to the
neutral cue from those to the global and local cues. This procedure
could eliminate ERPs related to neural activities such as primary
sensory responses to the cue stimulus or general responses in
preparation for the target stimulus. For each scalp site, the results
were evaluated statistically using an ANOVA for repeated
measures using cue type (global and local) and hemisphere (right and
left) as independent factors. To locate neural sources responsible for
the differential hemispheric activities associated with shifting
attention to global and local features, we analyzed the intensity of
the current source activities using low-resolution electromagnetic
tomography (LORETA) (Pascual-Marqui et al., 1994
). This analysis
yielded all possible three-dimensional distributions of current density
in a three-shell head model without any preexisting assumptions
concerning the number of sources.
We also analyzed ERPs to the target stimuli. Four major components were
identified. Their peak amplitudes were measured relative to the
prestimulus baseline, and peak latencies were measured relative to the
target onset. The measurement windows were 100-160 msec for P1
(postitive) and 180-250 msec for N1 (negative) at the medial occipital
sites (Fig. 2, areas h, l) and 250-350 msec for N2
and 350-550 msec for P3 at the parietal sites (Fig. 2, areas g,
k). The reaction time (RT) data were also analyzed using ANOVA for
repeated measures. The Bonferroni-Dunn procedure was used for
post hoc comparisons of the mean values.
 |
RESULTS |
Psychophysics
Behavioral data showed that an informative cue (global and local
cue) provoked a shift of attention to the designated level. The RTs
after the neutral cue were significantly slower than those after the
global and local cues [neutral cue, 465 ± 11 (mean ± SE)
msec; global cue, 418 ± 11 msec (p < 0.001, vs neutral cue); local cue, 435 ± 9 msec
(p < 0.05 vs neutral cue)]. Consistent with
previous reports (Navon, 1977
; Van Kleeck, 1989
; Robertson and Lamb,
1991
), the data showed global precedence and congruency effects. The
RTs to global targets following the global cue were significantly
faster than those to local targets following the local cue
(p < 0.05). The congruency between global and
local levels of hierarchical stimuli facilitated the response speed for
all conditions [difference between congruent and incongruent trials,
27 ± 5 msec for global cue (p < 0.001);
19 ± 5 msec for local cue (p < 0.005);
72 ± 5 msec for neutral cue (p < 0.0001)]. Thus, there was a significant interaction between cue type
and congruency (p < 0.0001), indicating that
congruency effects were much larger for the neutral cue, compared with
the global and local cues. For the incongruent trials there was no
interaction between target level (global vs local) and cue type (global
or local cue vs neutral cue), indicating that global precedence was observed for both the neutral and informative cues to the same degree.
ERPs to cue stimuli
To examine differential hemispheric activation during attention
shifts, we assessed the interaction between cue level (global vs local)
and hemisphere (right vs left) on the ERP difference waveforms
(global
neutral vs local
neutral) (Fig. 2). This revealed that the ERP is more negative over the right hemisphere during
the shift of attention to the global level, whereas the ERP is more
negative over the left hemisphere during the shift of attention to a
local level. We determined the onset of the interaction by examining
consecutive 20 msec intervals. No interactions were observed between
attention level and hemisphere until 240 msec after the cue onset.
Subsequently, the interaction commenced in the lateral occipital
regions (areas d and p; Fig. 3,
shaded). This interaction continued until the target
appeared (the interaction was analyzed during the cue-target
interval). Following the lateral occipital region, similar interactions
also began in the parietal (areas g and k), posterior temporal (areas c
and o), and anterior temporal (areas b and n) regions after 400 msec.
All of the interactions continued until the targets appeared. Other
anterior parts of the scalp showed no interactions between cue level
and hemisphere during the cue-target interval.

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Figure 3.
LORETA maps of the current source
density of neural activity for attention shifts to global
(a) and local (b) levels.
The averaged data from 16 subjects were used for the analysis in the
time window between 500 and 700 msec after the cue. The maps are shown
for successive horizontal slices from 2 cm (left) to 14 cm (right) superior to a plane containing the nasion and
bilateral preauricular points. The areas showing a maximal current
source are superimposed on a representative MRI for each shift
condition.
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To confirm the differential hemispheric activation caused by shifting
attention to global and local features, we obtained topographical maps
of the source activities for processing global and local cues using the
LORETA method. The two subtracted ERPs were analyzed in the time window
between 500 and 700 msec after the cue, during which interval the
hemispheric difference was most prominent (see Fig. 2). A dense current
source was observed in the right temporal-parietal area with an
attention shift to the global level, whereas a strong current source
was seen in the left posterior temporal region with an attention shift
to the local level (Fig. 3). Thus, the asymmetric surface potentials resulted from neural activity in the right temporal-parietal area for a
global attention shift and activity in the left posterior temporal area
for a local attention shift.
ERPs to target stimuli
Finally, we analyzed ERPs to target stimuli to clarify whether a
hemispheric difference was also manifested during processing of global
and local stimuli per se. For this analysis, we compared the ERPs to
congruent global and local targets after the informative cues. The P1
component was larger over the right occipital site than over the left
side (p < 0.05) without an interaction between target level and hemisphere (Fig.
4a). There was neither
hemispheric asymmetry nor an interaction for the posterior N1 (Fig.
4b). On the other hand, the N2 component demonstrated an
interaction between target level and hemisphere
(p < 0.005; Fig. 4c). This effect was attributable to enhanced amplitude over the left hemisphere for
local targets compared with global targets, whereas the amplitude was
larger for global targets compared with local targets over the right
hemisphere. The P3 component showed the same interaction as observed
for the N2 (p < 0.02; Fig. 4d); the
P3 was negatively shifted for local targets relative to global targets
over the left hemisphere, whereas the amplitude was more negative for
global targets compared with local targets over the right hemisphere. Thus, a similar hemispheric difference was observed in the relatively late ERP components related to processing of global and local features
per se, as seen in the components related to the shifting of attention.
The analysis of the latencies revealed that only the P3 latency to
global targets was significantly shorter than that to local targets
(411 ± 37 vs 436 ± 36 msec; p < 0.05)
whereas other components showed comparable latencies between the global and local targets.

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Figure 4.
Mean amplitude of each ERP component to target
stimuli as functions of the hemisphere and cue level. The data were
analyzed at the medial occipital site for P1 (a)
and N1 (b), at the lateral occipital site for P2
(c), and at the parietal site for N2
(d) and P3 (e).
Lt/G, Recorded in the left hemisphere for global
targets; Rt/G, recorded in the right hemisphere for
global targets; Lt/l, recorded in the left hemisphere
for local targets; Rt/l, recorded in the right
hemisphere for local targets. *,**Significant interaction
between hemisphere and cue level (*p < 0.005;
**p < 0.02).
|
|
 |
DISCUSSION |
Ample evidence for hemispheric asymmetry in global-local feature
processing has been provided by various neuroimaging techniques (Fink
et al., 1996
; Martinez et al., 1997
; Heinze et al., 1998
; Proverbio et
al., 1998
; Han et al., 1999
). The current study demonstrated that
differences in neural activities between global and local processing
first appeared 250 msec after stimuli (i.e., N2). The N2 ERP component
showed a relatively larger amplitude in the left hemisphere for local
targets and in the right hemisphere for global targets. This is
consistent with previous ERP studies (Heinze and Munte, 1993
; Heinze et
al., 1998
), which demonstrated that the posterior negativity peaking at
250 msec for global and local targets had a similar onset latency but a
different topography, suggesting that separate brain systems process
global and local information in parallel. On the other hand, the
sensory components (i.e., P1) of visual evoked potentials produced by
various spatial frequencies showed consistently larger amplitudes over
the right occipital site than over the left side, irrespective of the
stimulus spatial frequency (Grabowska and Nowicka, 1996
). This is also in line with our data and strongly suggests that the hemispheric lateralization of early visual perception does not depend on the stimulus spatial frequency.
The main focus of our study is how the attentional allocation to global
or local features affects hemispheric specialization of global-local
processing. The principal advantage of ERP over methods such as PET is
its greater temporal resolution for delineating time-dependent mental
processes. Our data demonstrated that the ERP segregation between
attention shifts to global form and local elements emerged at ~240
msec after delivering the cue stimulus. This interval includes the time
required to discriminate the level to be attended according to cue
type. Interestingly, this time window is close to the time for
cue-induced voluntary shifting of spatial attention (Yamaguchi et al.,
1994
).
The important aspect demonstrated in our study is that the hemispheric
asymmetry arose not only during the task in which global-local processing was actually performed but also during the time interval in
which attention was allocated to global or local levels. In addition to
the hemispheric asymmetry during "bottom-up" processing, the
current study directly demonstrated neural substrates for a
top-down mechanism of hemispheric asymmetry in global and local selection. These neural activities were located in the
temporal-parietal cortices in the right hemisphere for the global shift
and in the posterior temporal cortices in the left hemisphere for the
local shift. This hemispheric asymmetry is consistent with the
neuropsychological evidence (Robertson et al., 1988
; Lamb et al.,
1989
). Lesions centered in the left inferior parietal lobe did not
disrupt local processing, whereas lesions centered in the left superior
temporal gyrus did. Lesions including both the right superior temporal gyrus and inferior parietal lobe disrupted global processing. Previous
PET results also showed the activation of these association cortices
during a task associated with switching attention between global and
local levels, although the neural activation in each hemisphere
observed in the PET study could not be linked to global and local
processing separately because of the paradigm used and the low temporal
resolution (Fink et al., 1996
). According to the present study, the
laterality of neural activity associated with an attention shift
corresponded to the asymmetry observed in brain activity during global
and local processing per se. Our data support the hypothesis that
hemispheric asymmetry is derived from descending influences of the
right temporal-parietal and left posterior temporal regions, and these
cortices may play a critical role in mediating the voluntary
distribution and maintenance of selective attention. In addition, the
current ERP data during target detection suggest that this attention
mechanism does not direct the early sensory phase of processing.
Instead, higher cognitive stages associated with late ERP components
(i.e., N2 and P3) may be linked with such an allocation of attention.
Global precedence is another issue to be addressed in global-local
processing. The behavioral data demonstrated a global precedence in
responding to a hierarchical stimulus in a selective attention task on
a trial-by-trial basis. Electrophysiological correlates of global
precedence have been demonstrated in a sustained focused attention task
(Proverbio et al., 1998
), indicating that faster and larger responses
of the N180 (170-210 msec) and P3 (340-520 msec) components were
associated with the global precedence effect. Another study also
demonstrated that the RT advantage was reflected in the P3 latency
(Heinze and Munte, 1993
). Partially in agreement with those reports, we
also found an earlier P3 component to global targets compared with
local targets. Taken together, it is plausible that global precedence
may emerge at the postperceptual, later processing stage. One
intriguing issue is whether the global precedence is influenced by the
presetting of attention. The behavioral data indicated that the global
precedence after informative cues was not significantly different from
that after the neutral cue, indicating that global precedence does not
seem to be affected by cue-related attentional modulation. Thus, it is
unlikely that the global advantage in global-local processing is
determined by attentional set; instead, it may be related to
postperceptual processing independent of attentional preset.
In conclusion, our study provides the first electrophysiological
evidence of hemispheric specialization during the allocation of
attention to global and local features. The right temporal-parietal and
left posterior temporal regions play separate roles in this top-down
attention mechanism. This attentional modulation may affect neural
activity during the later processing stages of global or local aspects
of complex visual scenes.
 |
FOOTNOTES |
Received Jan. 14, 2000; revised Feb. 25, 2000; accepted Feb. 25, 2000.
This work was supported by Japanese Ministry of Education, Science,
Sports and Culture Grants 11670626 to S.Y. and 10670586 to S.K. and a
grant from the Japanese Ministry of Health and Welfare to S.K. We thank
R. T. Knight for comments on this manuscript.
Correspondence should be addressed to Dr. Shuhei Yamaguchi at the above
address. E-mail: yamagu3n{at}shimane-med.ac.jp.
This article is published in
The Journal of Neuroscience, Rapid Communications Section,
which publishes brief, peer-reviewed papers online, not in print. Rapid
Communications are posted online approximately one month earlier than
they would appear if printed. They are listed in the Table of Contents
of the next open issue of JNeurosci. Cite this article as:
JNeurosci, 2000, 20:RC72 (1-5). The
publication date is the date of posting online at
www.jneurosci.org.
 |
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Copyright © 2000 Society for Neuroscience 0270-6474/00/$05.00/0
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