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Visual Spatial Attention in Children with
Attention Deficit Hyperactivity Disorder |
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Chung-Yao Chen, MD
Chia-Ling Chen, MD, PhD
Ching-Yi Wu1, PhD
Hsieh-Ching Chen2, PhD
Fuk-Tan Tang, MD
May-Kuen Wong, MD
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Background: Attention deficit hyperactivity disorder (ADHD)
was characterized by deficit in the attention mechanism. Until
now, the visual-spatial attention deficit in children with
ADHD remains controversial. We report a study of the visual
spatial attention to assess covert shifts of attention and
sustained attention theoretically linked to two neuroanatomically
defined attentional system in the posterior and anterior parts
of the human brain.
Methods: Using the Neuroscan system, the reaction time (RT)
was measured according to three different within-subject conditions
including cueing (valid, invalid and neutral); delay (800
msec and 100 msec); side [right visual field (RVF) and left
visual field (LVF)] as well as one between-subject condition
(healthy, ADHD).
Results: The AHDH group showed slower RTs overall (RT=760
msec) than the comparison group (RT=650 msec) (p=0.001). RTs
in the delayed condition of 800 msec (RT=680 msec) were faster
than in the delayed condition of 100 msec (RT=730 msec) in
all children (p<0.001). The ADHD group showed significant
lateral differences in RT (RTRVF: 880 msec > RTLVF: 830
msec) in the 100 msec delay for the invalid cueing condition
(p=0.045) that was not found in the comparison group.
Conclusion: General dysfunction including posterior-based
covert shift of attention and anterior-based sustained attention
was found in ADHD group. Furthermore, asymmetric left parietal
dysfunction in the disengaged operation was noted in those
with ADHD.
(Chang Gung Med J 2002;25:514-21)
Key words: attention deficit hyperactivity disorder, children,
reaction time, attention.
Childhood attention deficit hyperactivity disorder (ADHD)
is common and impairing, but the nature of the attention deficit
remains a neuropsychological puzzle.(1) ADHD is diagnosed
behaviorally from persistent, age-inappropriate inattention,
impulsivity, and overactivity.(2) The main behavioral assessment
techniques used to determine diagnosis of this disorder include
parent and teacher rating scales and interviews, psychometric
tests, and continuous performance tasks.(3) However, it is
difficult to examine the covert shift of attention and the
sustained attention based on the clinical observation and
evaluation.
Attention can be assessed by several ways. The well-known
Posner paradigm can assess visual spatial attention by presenting
the participants with cues that direct attention to regions
of the visual space within which an imperative stimulus may
subsequently appear.(4) Some researchers have proposed a model
of distributed neural system that consisted of an anterior
and posterior attentional system to determine the covert shift
of attention and sustained attention.(5-7) To orient to a
particular spatial location by the covert shift of attention,
one's attention must be (1) disengaged if it is currently
focused, (2) moved to the new location, and (3) engaged at
the new spatial location.(5-7) There are some studies about
the attentional operations that revealed dissociable components
linked to specific neural systems.(6) The parietal lobe acts
to release the attention (disengage) from its current focus
and signals the midbrain to move the spotlight of attention
from its current location to the area of the cue. The thalamus
selects the contents of the attended area and enhances (engages)
those contents so they are given priority for processing by
anterior areas (sustained attention) that will detect targets
and generate responses.(8) Because the Posner paradigm could
be used to differentiate a covert shift of attention including
disengagement, movement and engagement operations from sustained
attention, we used the Posner paradigm to examine the covert
shift of attention and the sustained attention of the children
with ADHD in this study.
Recently, there have been some studies about the attentional
operations used to determine the sites/pathways of neuropathology
of ADHD children. Swanson et al.(9) reported that the ADHD
children had longer RTs for the targets presented on the right
visual field (VF) than for those presented on the left VF
(LVF) following an invalid cue with 800 msec delay, using
exogenous cueing tasks. Their results suggested a dysfunction
in the ability to sustain the engagement of attention upon
a cued right VF (RVF) location. While Nigg et al.(10) found
slower responses to uncued targets in the 100 msec delayed
condition in the LVF than that in the RVF, when also utilizing
exogenous cues. Carter et al.(11) utilized endogenous cueing
tasks and their results were compatible with those of Swanson
et al.(9) However, by using exogenous cue with 150 msec delays,
Carter et al.(11) showed slower RTs in the LVF than in the
RVF. More general right hemispheric dysfunctions were suggested
due to the absence of asymmetry in the cost/benefit pattern.(12)
The controversial results among these studies may be due to
the differences in the measurements and tasks. Some studies
used endogenous cueing tasks with the cues indicating the
probable location of the target symbolically, while other
studies used exogenous cueing tasks with the cues occurring
at the probable location of the target.
In order to study the attentional deficits in children with
ADHD in Taiwan, we used the Posner paradigm to compare covert
shifts of attention and sustained attention in children with
ADHD and healthy children.
METHODS
Participants
Twenty-one children with ADHD aged 6 to 9 years were recruited
from our outpatient department in the summer of 1999. Another
20 age- and sex-matched healthy children were recruited in
this study. All children included in the ADHD group had an
onset of symptoms before 6 years of age, duration of problems
for more than 6 months, and exceeded empirically established
cutoffs for DSM-IV diagnostic criteria, with a cutoff of 6/9
symptoms of inattention or hyperactivity-impulsivity, separately.(13)
Exclusionary criteria included developmental disabilities
or evidence of other neurological disorders.
Procedure
The Posner et al.(14) visual-spatial cueing tasks were implemented
on the Neuroscan system using the MEL programming language
(Micro Experimenter Laboratory Software, Psychology Software
Tools, Pittsburgh, Penn). Two white boxes (1o¡Ñ1o of visual
angle) were presented on a black background of the computer
screen. They were presented at about 5o of visual angle from
a central fixation cross (.6o¡Ñ.6o of visual angle), and this
display remained on for the entire experiment. Each trial
began with a cue event which was the brightening of one of
the two peripheral boxes, followed by a target which consisted
of a white asterisk (.5o¡Ñ.5o of visual angle) inside one of
the boxes. Measures were made under normal room illumination.
A detection response was required. Participants were instructed
to press the space bar on the computer keyboard with the index
finger of the dominant hand when the target stimulus was presented
and detected. If the stimulus appeared within the location
indicated by the cue (e.g. cue points to the left and stimulus
appears in the left visual hemispace) the trial was considered
to be 'valid'. If the stimulus appears in a location that
was not indicated by the cue (e.g. cue points to the left
but stimulus appears in the right visual hemispace), the trial
was considered to be 'invalid'. The participants were informed
that, most of the time, the target would be preceded by a
valid cue (300-msec brightening of one box, caused by appearance
of a double white line around the box), but that they should
not respond to the cue. They were also instructed to maintain
center fixation. In the healthy adult and child participants,
the valid cue oriented attention to the target's presentation
and decreased RT (benefits), whereas the invalid cue orients
attention away from the target's presentation and increased
RT (costs). A trained technician sat directly behind each
child in the experimental room to monitor and maintain participants'
motivation and attention to the task. The technician rated
each child's effort on the task as 'good', 'fair', 'poor'
or 'session not valid'. Any rating below a 'good' prompted
a makeup examination of that block which is consisted of 60
trials. Trials on which participants made eye movements were
not excluded from the analysis. All of the children were given
a practice session on the task before the experimental trials.
The practice sessions also served as training for the technician.
RT was measured from the onset of the target to the onset
of the key press. An error was recorded if the RT was less
than 100 msec, and it was assumed to be an anticipation error
or false alarm. If no RT occurred by 1500 msec after the target
presentation, it was assumed to be an omission error. The
target remained present until a response was made or for a
maximum of 3 seconds. After the response, the target (asterisk)
disappeared from the screen, and the two boxes remained on
the screen for a 1000 msec intertrial interval. Each child
participated in one or more sessions of approximately 240
trials each. The total number of trials collected from each
person and the number of sessions were dictated by their general
condition. Four blocks of 60 trials were presented. On 16
of the 240 trials, no cue was presented; this defined the
neutral condition. On 224 of the 240 trials, a cue was presented
before the target. On 176 of the cued trials, the target appeared
in the cued location; this defined the valid cue condition.
On 48 of the cued trials, the target appeared in the uncued
location; this defined the invalid cue condition. Half of
the targets were presented in the RVF and half in the LVF.
On half of the cued trials, the target was presented 100 msec
after the onset of the cue; on the other half, the target
was presented 800 msec after the onset of the cue. On the
neutral trials, the target was presented 1100 msec or 1800
msec after the previous response (i.e., 100 msec or 800 msec
plus the 1000-msec intertrial interval) in order to match
the temporal characteristics of the 100-msec and 800-msec
cue-target intervals in the valid and invalid cueing conditions.
The 100-msec delay condition allowed for the assessment of
orienting and alerting prior to eye movement. The 800-msec
condition allowed for the assessment of how well attention
to a target location was maintained.(15) The different types
of trials were presented randomly in the four blocks.
Analysis
For each of the 12 within-subject conditions [defined by the
factorial combination of levels of cue (neutral, valid and
invalid), VF (LVF and RVF) and delay (100 msec and 800 msec)],
a mean RT was calculated based on the correct reactions for
each participant. These means were based on the correct reactions
from 44 valid cue presentations, 12 invalid cue presentations
and four neutral presentations in each of the four blocks.
A four-way analysis of variance (ANOVA) was performed using
one between-subject factor (group) and three within-subject
factors (cue, VF, and delay). Because the main effect could
not be interpreted without the knowledge of interactions among
the terms,(16) we therefore followed analytic procedures recommended
by Fisher,(16) which required a significant omnibus test to
precede the simpler comparisons. The higher-order interactions
were analyzed before the lower-order interactions, and the
interaction effects were analyzed before the main effects.
When interactions were significant, they were further analyzed
as interaction contrasts at levels of the final factor. When
interactions were non-significant, the main effects were analyzed.
To avoid misinterpreting results due to an undetected higher-order
interaction,(16) we completely decomposed the factorial matrix
to describe the data fully. However, to simplify the presentation
of results, we omitted the presentation of non-significant
effects. We specified when reported findings were the result
of post-hoc planned comparisons (in which case appropriate
corrections for multiple comparisons were noted if relevant)
rather than the data decomposition strategy. Post-hot comparisons
were performed using the Newman-Keuls procedure (a-level =
0.05). Analyses were preceded by the appropriate tests of
the assumption of normal data distribution using the Kolmogorov-Smirnov
test. In addition, the presumption was not rejected.
Simple linear regression analysis using age and RT as two
variables was performed for the healthy children and children
with ADHD to analyze the relationship between them. The total
number of errors (anticipation plus omitted errors) in the
two groups were determined and compared using the t test.
The statistical analysis was conducted using the SPSS (SPSS
Inc., Chicago, IL) for Windows.
RESULTS
Demographic data are summarized in Table 1. The groups showed
no significant difference in age, gender or handedness.
The mean RT of the 12 conditions defined by levels of delay,
cue and VF are presented in Tables 2 and 3 separately for
the healthy and ADHD groups. The cueing effects must be interpreted
in light of the significant three-way interaction of cue¡Ñdelay¡Ñgroup
[F(2,38)= 4.317; p=0.02]. Post hoc tests revealed significant
differences between the valid and invalid cueing conditions
in both 100-msec (p=0.031) and 800-msec delayed conditions
(p=0.020) for the healthy participants. For the ADHD participants,
significant differences were found between the valid and invalid
cueing conditions for the 800-msec delay (p<0.001). For
the 100 msec delay, significant differences were found not
only between the valid and invalid conditions (p<0.001)
but also between invalid and neutral cueing conditions (p=0.016).
A significant VF¡Ñcue [F(2,38)=6.367; p=0.004] interaction
emerged due to significant VF differences in the invalid cue
condition. However, there were no significant VF differences
in the valid cue condition. Post hoc paired t tests revealed
that the performance of the ADHD children showed that the
lateral difference in RT was significant in the 100-msec invalid
cue condition (p=0.045) only (RTRVF : 883 msec> RTLVF :
830 msec). There were no significant differences (RTRVF: 791
msec > RTLVF : 759 msec) for the 800-msec invalid condition
(p=0.233) or for the healthy participants. Inspection of the
main effects revealed that, averaged across the levels of
other conditions, the valid cue condition resulted in faster
RTs than the invalid or neutral conditions, and RTs were faster
at the 800-msec (RT=680 msec) than at the 100-msec delay conditions
(RT=730 msec). The ADHD participants showed longer RT (RT=760
msec) than the comparison group (RT=650 msec) (group main
effect, F=12.103; p=0.001).
The Pearson product-moment correlation coefficients between
age and RT in the healthy children and children with ADHD
are shown in Table 4. For the healthy children in the 100-msec
delay condition, there was significantly negative correlation
between age and RT which was not found consistently in the
800 msec delay condition. This correlation was only significant
in children with ADHD in limited conditions. However, there
was still a negative trend between RT and age in children
with ADHD.
There were significant differences in total the number of
errors made by the participants when compared with the two
groups (p=0.03). The ADHD children made more mistakes than
the healthy children. Total error rates (anticipations, omission)
were low for both groups (3.7% for healthy participants and
10.1% for ADHD participants).
DISCUSSION
In this study, the RTs in both the 100-msec and 800-msec
delay conditions were slower in the children with ADHD than
for the healthy children. These results suggest that ADHD
children have generalized dysfunction not only in covert shift
of attention but also in sustained attention. Covert orienting
refers to the direction of spatial attention apart from actual
eye movement,(6) overcoming the confound of immature oculomotor
development in children. When the cue-target interval (or
stimulus-onset asynchrony) is less than about 350 msec for
children,(17) the participant does not have time for an eye
movement, thus, only 'covert' or automatic, early stage attention
processing is thought to be involved. The covert shift of
attention could be assessed by RT performed in the 100-msec
delay condition and sustained attention could be assessed
by RT performed in the 800-msec delay condition. However,
when sustained attention is assessed under the condition that
the participants do not make eye movement, the result still
was considered "covert" attention. The anterior
attentional system may relate to the function of sustained
attention and the posterior attentional system may relate
to the function of covert shift of attention.(18,19) Both
the parietal lobe (as part of the posterior attentional system)
and the frontal lobe (as part of the anterior attentional
system) played an important role in visual-spatial attention.(20)
Therefore, our findings suggest that ADHD children have generalized
visual-spatial attentional deficits that involve the anterior
and posterior attentional system.
In this study, there were lateral differences in RTs (RVF
> LVF) under invalid cue conditions with the 100-msec delay
in the ADHD children that were not found in the healthy children.
General dysfunction in the covert shift of attention could
not explain the asymmetric performance in the invalid cue
condition, so there must be asymmetric deficits in the disengage
operation. Swanson et al. reported that if RT was lengthened
only in the short cue-target intervals after an invalid cue,
the disengage operation was assumed to be impaired because
attention was presumed to have been moved and engaged elsewhere
after the invalid cue.(9) Because the ADHD children had poor
ability to disengage their attention from the invalid cue
occurring in LVF, their RT in the RVF under invalid cue condition
was slower. This asymmetrical deficit in the disengage function
was also observed in patients with left parietal brain injury(15)
and schizophrenia.(14) Furthermore, different anatomical areas
of the brain have been hypothesized as the loci for the three
elementary operations of attention.(4,7) Posner(5) supported
that the neural network for directing visual-spatial attention
involved areas of the parietal lobe (for the disengage operation),
midbrain (for the move operation), and thalamus (for the engage
operation). Therefore, our findings suggest that the ADHD
children had asymmetrical deficits in the disengagement operation,
which impaired more in the left parietal lobes.
Our findings are different from those of previous studies
as mentioned before. The reasons are multifactorial. First,
there was negative correlation between age and RT. That is,
the RT decreased as the children became older. Therefore,
the differences between healthy participants and children
with ADHD in RT may change as age increases. The reason the
healthy children had significantly negative correlation mostly
in 100-msec delay condition remains to be determined. It may
be that the sustained attention was still immature at the
age they were tested. In contrast, there was no consistently
significant correlation between RT and age in the children
with ADHD. This may be due to the variation of disease severity
among the children with ADHD. The mean age of the ADHD children
in our study (6 years) was younger than that of other studies
(9 years).(9) In addition, the mean RT in this study (590-710
msec for healthy children and 660-880 msec for children with
ADHD) was longer than in previous studies (500-679 msec for
healthy children and 569-728 msec for children with ADHD),(9)
although the total error rates in our study (10.1%) were similar
to the previous studies (9.88%).(10) Second, we did not discard
the trials which eye saccade occurred in our data analysis.
Most studies stated that both endogenous and exogenous cueing
effects occurred regardless of whether or not participants
made saccades.(5,21,22) Some researchers reported that motor
movement (e.g. eye saccade) may influence responses(1,17)
with longer cue-target interval (>350 msec). In contrast
to the usual adult performance in the attentional strategy,(5,22,23)
children were unable to maintain near-perfect fixation. Therefore,
the eye movement should be analyzed in further, especially
in the 800-msec delay condition. Third, using the different
predictive value for cue, our results differed from the results
of Carter et al.(11) Valid and invalid trials were equiprobable
in Carter's study.
Using the same exogeneous cue, the lateral differences occurred
in the same VF but in the different delay conditions (100-msec
delay in our study and 800-msec delay in the study of Swanson
et al.(9)). Age may play an important role in the differences.
As mentioned before, the mean age of the ADHD children in
our study (6 years) was younger than that in their studies
(9 years).(9) It is not clearly understood whether the lateral
differences found in the children with ADHD remained the same
as they get older. The sustained attention in younger children
with ADHD as we recruited in our study may be not fully matured
yet. Therefore, the severe prolonged RT in response to bilateral
VF stimulation in 800-msec delay condition makes the lateral
difference insignificant. As the children with ADHD get older,
the sustained attention should become more matured to make
the differences, if it really exists, significant. The covert
shift of attention in100-msec delay condition may be relatively
more matured as compared with the sustained attention in children
with ADHD that we recruited in our study. Therefore, the lateral
differences are already significant. As they grow up, the
relatively more impaired side catches up with the contralateral
side and the significant differences disappears.
There were no significant differences in RT between the neutral
and the other conditions in this study. It is ill-justified
to use the 'neutral' value as a reference point for the calculation
of cost/benefit measures. The participants could be jumping
attention from one to the other visual hemifield, splitting
attention between the hemifield, or adopting some other attentional
management strategy because of ambiguous nature of the neutral
type of the cueing.(12)
In conclusion, the RTs in both the 100-msec and 800-msec delay
conditions were slower and there was lateral difference in
RT (RVF > LVF) under the 100-msec invalid cue condition
in the ADHD children. These findings suggest that ADHD children
have generalized dysfunction in covert shift of attention
and sustained attention, and there are asymmetrical deficits
in the disengage functions, especially impaired more in the
left posterior attentional system. Further studies should
focus on whether the performance in RTs using Posner's paradigm
changes as children with ADHD get older.
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From the Department of Rehabilitation Medicine, Chang
Gung Memorial Hospital, Taipei; 1Department of Occupational
Therapy, Chang Gung University, Taoyuan; 2Department of Industrial
Engineering and Management, Chaoyang University of Technology,
Taichung, Taiwan.
Received: Jul. 5, 2001; Accepted: Apr. 17, 2002
Address for reprints: Dr. Chia-Ling Chen, Department of Rehabilitation
Medicine, Chang Gung Memorial Hospital. 5 Fu-Shin St. Kweishan,
Taoyuan 333, Taiwan, R.O.C. Tel.: 886-3-3281200 ext. 3846;
Fax: 886-3-3277566; E-mail: a7634245@ms21.hinet.net
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