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The Specificity and Independent Contribution of Inhibition, Working Memory, and Reaction Time Variability in Relation to Symptoms of ADHD and ASD

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The aim of the present study was to investigate the specificity of inhibition, working memory (WM), and reaction time variability (RTV) in relation to symptoms of ADHD and autism spectrum disorder (ASD). A community-based sample of schoolchildren aged 7 to 9 years (N = 200) completed tasks designed to measure inhibition, WM, and RTV. All neuropsychological functions were related to symptoms of both ADHD and ASD. The results from regression analyses showed that inhibition and RTV were related specifically to ADHD symptoms when controlling for symptoms of ASD. Regarding WM, no specific association with either symptom domain was evident after controlling for the other. Furthermore, independent contributions of inhibition and RTV were found in relation to ADHD symptoms after controlling for ASD symptoms. The present study underscores the relevance of controlling for ADHD symptoms when examining ASD symptoms in relation to neuropsychological functions. © 2015 SAGE Publications.
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Journal of Attention Disorders
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DOI: 10.1177/1087054715587093
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Article
Introduction
ADHD and autism spectrum disorder (ASD) are two com-
mon childhood-onset psychiatric disorders that involve
deficits in neuropsychological functions related to fronto-
striatal and fronto-parietal networks (see review by Gargaro,
Rinehart, Bradshaw, Tonge, & Sheppard, 2011). High levels
of comorbidity have been demonstrated between the symp-
tom domains (Ronald, Simonoff, Kuntsi, Asherson, &
Plomin, 2008), and co-diagnosis of ADHD and ASD is now
permitted according to the current diagnostic criteria
(Diagnostic and Statistical Manual of Mental Disorders
[5th ed.; DSM-5]; American Psychiatric Association, 2013).
In addition, symptoms of both ADHD and ASD have been
shown to be dimensionally distributed in the population
(Marcus & Barry, 2011; E. B. Robinson et al., 2011). Twin
studies have shown that the heritability of clinical levels of
symptoms of ADHD and ASD is no different than the heri-
tability of scores across the normal range (Constantino &
Todd, 2003; Levy, Hay, McStephen, Wood, & Waldman,
1997). Children with symptom levels below the cutoff for
formal diagnosis display cognitive deficits and negative
consequences similar to those of children with the diagno-
sis, albeit less severe (Bauermeister et al., 2007; Sucksmith,
Roth, & Hoekstra, 2011). Therefore, taking a wide range of
symptom level into account is of relevance when studying
symptoms of the two childhood psychiatric disorders in
relation to other aspects, such as cognitive functioning.
ADHD is often accompanied by poor executive func-
tions (EF; Willcutt, Doyle, Nigg, Faraone, & Pennington,
2005) and increased reaction time variability (RTV; Kofler
et al., 2013). However, the degree to which these functions
are nosologically specific to ADHD symptoms in relation to
symptoms of other disorders is less well known. While it is
also proposed that ASD may be related to poor EF and
increased RTV (see Rommelse, Geurts, Franke, Buitelaar,
& Hartman, 2011, for a review), it is still unclear whether
these findings may be the result of co-occurring ADHD
symptoms in the samples studied. The main aim of the pres-
ent study was therefore to explore the specificity of inhibi-
tion, working memory (WM), and RTV in relation to
symptoms of ADHD and ASD in a community sample. An
additional aim was to explore independent contribution of
587093JAD
XXX10.1177/1087054715587093Journal of Attention DisordersTruedsson et al.
research-article2015
1
Uppsala University, Sweden
Corresponding Author:
Erik Truedsson, Department of Psychology, Uppsala University, P.O.
Box 1225, SE-751 42, Uppsala, Sweden.
Email: erik.truedsson@psyk.uu.se
The Specificity and Independent
Contribution of Inhibition, Working
Memory, and Reaction Time Variability in
Relation to Symptoms of ADHD and ASD
Erik Truedsson
1
, Gunilla Bohlin
1
, and Cecilia Wåhlstedt
1
Abstract
Objective: The aim of the present study was to investigate the specificity of inhibition, working memory (WM), and
reaction time variability (RTV) in relation to symptoms of ADHD and autism spectrum disorder (ASD). Method: A
community-based sample of schoolchildren aged 7 to 9 years (N = 200) completed tasks designed to measure inhibition,
WM, and RTV. Results: All neuropsychological functions were related to symptoms of both ADHD and ASD. The results
from regression analyses showed that inhibition and RTV were related specifically to ADHD symptoms when controlling
for symptoms of ASD. Regarding WM, no specific association with either symptom domain was evident after controlling
for the other. Furthermore, independent contributions of inhibition and RTV were found in relation to ADHD symptoms
after controlling for ASD symptoms. Conclusion: The present study underscores the relevance of controlling for ADHD
symptoms when examining ASD symptoms in relation to neuropsychological functions. (J. of Att. Dis. XXXX; XX(X) XX-XX)
Keywords
ADHD, ASD, specificity, independent contributions, executive functions
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2 Journal of Attention Disorders
the three neuropsychological functions in relation to each of
the symptom domains. This was in particular interest in
relation to ADHD symptoms following a common finding
that EFs (in particular inhibition) and RTV make indepen-
dent contributions to ADHD symptoms (Kuntsi, Oosterlaan,
& Stevenson, 2001; Sjöwall, Roth, Lindqvist, & Thorell,
2013; Sonuga-Barke, Bitsakou, & Thompson, 2010).
Inhibition
In relation to ADHD, poor inhibition has either been con-
ceptualized as the core deficit or as an independent pathway
to the disorder (Barkley, 1997; Sonuga-Barke et al., 2010).
With respect to ASD, there is currently no theoretical con-
sensus as to whether the disorder should be associated with
inhibition deficits, and thus far, studies concerning inhibi-
tion in relation to ASD have yielded mixed results
(Rommelse et al., 2011)
Although it has been proposed that poor inhibition is
related to repetitive, stereotyped patterns of behavior (i.e.,
core symptoms of ASD; Mosconi et al., 2009), it has also
been suggested that inhibition might be a neuropsychologi-
cal function that could distinguish children with ASD from
children with ADHD (i.e., children with ASD have pre-
served functions whereas children with ADHD display defi-
cits; Sinzig et al., 2008). When direct comparisons have
been made of children with ADHD and children with ASD
in relation to inhibition, the results have been mixed.
However, in the studies in which ADHD symptoms in chil-
dren with ASD have been considered, the findings support
that inhibition is related mainly to ADHD (Bühler,
Bachmann, Goyert, Heinzel-Gutenbrunner, & Kamp-
Becker, 2011; Happé, Booth, Charlton, & Hughes, 2006;
Sinzig et al., 2008).
WM
Several models have been presented to explain the role of
WM in relation to ADHD. Whereas some consider WM
deficits to be a core component or endophenotype (Alderson,
Rapport, Hudec, Sarver, & Kofler, 2010), others view WM
deficits as more peripheral (Willcutt et al., 2005). In relation
to ASD, it has been proposed that WM has a great influence
because of its importance for social cognition and interper-
sonal interaction (Barendse et al., 2013). The results of the
few studies that have directly investigated WM perfor-
mance in relation to ADHD and ASD, while considering
symptom overlap, suggest that WM deficits are associated
primarily with ADHD (Happé et al., 2006; Sinzig et al.,
2008; van der Meer et al., 2012; Yerys et al., 2009).
However, in the study by Happé et al. (2006), the findings
differed depending on age. At young ages (8-10), both chil-
dren with ADHD and ASD performed worse than typically
developing children on a spatial WM task whereas at older
ages (11-16), only children with ADHD displayed impaired
performance.
RTV
In the field of ADHD research, there has been a growing
interest in RTV following its robust phenotypic link to the
disorder (Kofler et al., 2013). Interestingly, during recent
years, RTV has also been shown to be related to ASD
(Rommelse et al., 2011, for a review). The results from
studies that have directly compared RTV in children with
ADHD and children with ASD are contradictory. However,
a recent meta-analysis suggests that increased RTV is
related to ASD only when children with comorbid ADHD
are included (Karalunas, Geurts, Konrad, Bender, & Nigg,
2014). The exact mechanisms behind the increased RTV are
not yet known. According to Castellanos, Sonuga-Barke,
Milham, and Tannock (2006), increased RTV may be con-
nected to a pathophysiological processing common to dif-
ferent disorders. However, neuropsychological models
concerning ADHD have also presented possible explana-
tions for increased RTV in relation to ADHD. According to
the state regulation model (Börger & van der Meere, 2000)
and the cognitive energetic model (Sergeant, 2000), the
increased RTV seen in ADHD may be connected to ener-
getic deficits (e.g., an incapacity to mobilize an adequate
amount of energy in relation to specific task requirements).
Aim of the Present Study
The main aim of the present study was to examine the speci-
ficity of inhibition, WM, and RTV in relation to symptoms
of ADHD and ASD in a community sample. This is impor-
tant for identifying neuropsychological characteristics that
are either specific to or shared between the two symptom
domains. Although the literature (see Rommelse et al.,
2011, for a review) suggests that both ADHD and ASD are
related to poor inhibition, WM, and increased RTV, it is
unclear whether ASD symptoms are specifically associated
to these functions when accounting for co-existing ADHD
symptoms. An additional aim was to examine the indepen-
dent contribution of the three functions in relation to each of
the symptom domains. This was of particular interest in
relation to ADHD symptoms because previous research has
shown that EFs (in particular inhibition) and RTV make
independent contributions to the symptom domain (Sjöwall
et al., 2013; Sonuga-Barke et al., 2010). In addition, it has
not been explored whether independent contributions of
these functions remain after controlling for symptoms of
ASD.
First, relations between the neuropsychological func-
tions and the two symptom domains were examined (prior
to controlling for the other symptom domain). Based on
findings from previous studies (see Rommelse et al., 2011,
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Truedsson et al. 3
for a review), we expected that WM and RTV would be
associated with symptoms of both ADHD and ASD.
Regarding inhibition, we predicted an association to ADHD
symptoms (Willcutt et al., 2005), whereas whether ASD
symptoms would be associated was left open following the
inconsistency of previous findings (Christ, Kester, Bodner,
& Miles, 2011; Mosconi et al., 2009; S. Robinson, Goddard,
Dritschel, Wisley, & Howlin, 2009; Sanderson & Allen,
2013; Sinzig et al., 2008). Second, independent contribu-
tions were analyzed separately for ADHD and ASD symp-
toms (dependent on whether multiple neuropsychological
functions were associated with a symptom domain). In line
with previous findings (Sjöwall et al., 2013; Sonuga-Barke
et al., 2010), we predicted that inhibition and RTV would
make independent contributions to ADHD symptoms,
whereas no prediction was made concerning WM.
Regarding independent contributions of inhibition, WM,
and RTV to ASD symptoms, no a priori hypotheses were
formulated.
Thereafter, the specificity of each neuropsychological
function in relation to ADHD or ASD symptoms was ana-
lyzed after dimensionally controlling for the other symptom
domain. Findings from research that have accounted for
ADHD symptoms in children with ASD suggest that
impaired EF and increased RTV is primarily associated
with ADHD symptoms (Bühler et al., 2011; Happé et al.,
2006; Karalunas et al., 2014; Sinzig et al., 2008; van der
Meer et al., 2012). We therefore predicted that inhibition,
WM, and RTV would specifically associate to ADHD
symptoms even after controlling for symptoms of ASD
whereas the associations between ASD symptoms and the
functions would disappear after controlling for symptoms
of ADHD. Finally, independent contributions of neuropsy-
chological functions in relation to ADHD symptoms were
analyzed while dimensionally controlling for ASD symp-
toms and vice versa, if applicable. Whether the different
neuropsychological functions would make independent
contributions to symptoms of ADHD after controlling for
ASD, and vice versa, was left as an open question.
Method
Participants and Procedures
Participants in the current study were part of a larger longi-
tudinal study (N = 650). The children were initially recruited
from randomly selected child health care centers in Uppsala
County, Sweden, in connection with an health control at the
age of 5 offered to all families by the public health service.
Approximately 3 years later, the parents of all children in
the sample were contacted and asked to participate in a fol-
low-up study. About 76% of the parents answered the ques-
tionnaire as well as gave permission for the child’s teacher
to complete the same questionnaire; approximately 75% of
the teachers answered. The questionnaire to the parents also
included questions about developmental and medical his-
tory. Children with significant developmental or medical
problems were excluded from further participation (<1%).
This resulted in a sample of 357 children.
From the sample, we contacted the children with the
highest levels of symptoms (highest 30%: n = 121) on at
least one of the two domains (ADHD or ASD) based on
aggregated parent and teacher ratings (the questionnaires
are described in detail below, see “Ratings of Behavioral
Symptoms” section). In addition, 57% (n = 123) of the chil-
dren were randomly selected from the group with low-to-
moderate ratings on both symptom domains (lowest 70%:
n = 217). This resulted in a subsample of 200 children (93
girls) aged 8 to 9 years (M = 8.5 years; SD = 2.2 months; see
Table 1 for more information). A large part of the present
sample has been included in two earlier studies (Wåhlstedt
& Bohlin, 2010; Wåhlstedt, Thorell, & Bohlin, 2009) that
concerned research issues other than those addressed in the
current study.
Information on parental educational status (on a 5-step
scale) was collected as a measure of socioeconomic status
(SES). The tasks included in the current study were part of
a larger assessment battery intended to capture various neu-
ropsychological and behavioral functions. All children were
tested individually in a separate room at their school; the
whole assessment lasted for approximately 1 hr. The tests
were given in random order except for the go/no-go tasks,
where the normal condition was always the first and the
slow condition always the last. None of the children in the
Table 1. Descriptive Data on All Variables.
M SD Minimum-maximum
Behavioral ratings
ADHD 8.9 7.0 0.0-30.0
ASD 10.7 2.7 8.0-19.0
Neuropsychological measures
Inhibition
a
0.0 0.8 −1.2-2.5
WM
b
0.0 0.8 −2.2-2.6
RTV 175.0 51.0 82.4-328.6
Control variables
Conduct problems 7.2 2.1 5.0-17.5
Internalizing problems 8.1 2.8 5.0-16.5
Intelligence
c
11.0 2.3 5.5-17.5
SES 3.9 1.1 1.5-5.0
Note. N = 200 (boys = 107, girls = 93). ASD = autism spectrum disorder;
WM = working memory; RTV = reaction time variability; WISC-III =
Wechsler Intelligence Test for Children−3rd edition.
a
This variable is an aggregate based on standardized scores from two
inhibition tasks.
b
This variable is an aggregate based on standardized scores from two
WM tasks.
c
This variable is an aggregate based on standard points from two sub-
tests from WISC-III.
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4 Journal of Attention Disorders
study were receiving psychostimulant medication for
ADHD at the time of testing. The study was approved by
the local ethics committee.
Measures
Inhibition. Inhibition was studied using two validated tasks
based, respectively, on the go/no-go and the Stroop para-
digm, which have been widely used in ADHD and ASD
research (Christ, Holt, White, & Green, 2007; Crosbie et al.,
2013; Goldberg et al., 2005; Happé et al., 2006; S. Robin-
son et al., 2009; Sinzig et al., 2008). Furthermore, the tasks
have been used to discriminate between children with
ADHD and normally developing controls and have shown
adequate (go/no-go task: r = .84; Opposite Pairs Stroop
Task: r = .62, ps < .001) test–retest reliability (Berlin &
Bohlin, 2002; Brocki, Nyberg, Thorell, & Bohlin, 2007;
Thorell, 2007).
In the present go/no-go task (Berlin & Bohlin, 2002),
four different stimuli were presented: a blue square, a blue
triangle, a red square, and a red triangle. During the first
part of the task, the child was instructed to press a key
(“go”) when a blue figure appeared on the screen, but to
make no response (“no-go”) when an infrequent stimulus (a
red figure) appeared. The same stimuli were used for the
second part of the task, but the child was now instructed to
press a key every time he or she saw a square, irrespective
of color. The whole task was administered in two conditions
that differed in interstimulus interval (ISI; normal and
slow). In the normal condition, each stimulus was presented
for 800 ms with an ISI of 2,500 ms, whereas in the slow
condition, each was presented for 800 ms with an ISI of
8,000 ms. In total, there were 120 trials, 60 in each condi-
tion. The response inhibition score derived from the task
was the number of commission errors (i.e., pressing the key
when a “no-go” target was presented) across all trials.
In the Opposite Pairs Stroop Task (Berlin & Bohlin,
2002) the child was presented with four pairs of pictures,
where the pictures in each pair were opposites (e.g., day–
night, boy–girl, large–small, and up–down). After ensuring
that the child understood what each picture represented, he
or she was instructed to say the opposite as fast as possible
every time a picture was shown on the computer screen
(i.e., to say “boy” every time he or she saw a girl). The task
included two parts. In the first part, the child was presented
with each picture three times in random order, but the pairs
were not mixed (i.e., the first eight pictures were either a boy
or a girl; the next six pictures were either large or small, and
so on). In the second part, the instructions were the same and
each picture was also presented three times, but the eight pic-
tures were now presented in a fixed random order. Each stim-
ulus was displayed for 1,500 ms with an ISI of 1,500 ms.
Errors on this task were registered when the child named, or
started to name, the picture instead of saying the opposite or
when no answer was given. The interference control score
derived was the total number of errors on the Opposite Pairs
Stroop Task. To form a broad measure of inhibition, the two
inhibition measures were standardized and aggregated (r =
.42, p < .001). High values indicate poor inhibition.
WM. WM was assessed using two measures: Children’s
Size-Ordering Task (CSOT; McInerney, Hrabok, & Kerns,
2005) and a backward word span task (Thorell & Wåhlst-
edt, 2006). The tasks have been used considerably in both
clinical and non-clinical samples (Brocki & Bohlin, 2006;
Thorell, 2007; Thorell & Wåhlstedt, 2006; Diamantopou-
lou, Rydell, Thorell, & Bohlin, 2007; Sjöwall et al., 2013).
The CSOT has been shown to discriminate well between
children with ADHD and normally developing controls
(McInerney et al., 2005), and the backward word span task
is almost identical to the digit span task included in the
Wechsler Intelligence Test for Children−3rd edition (WISC-
III; Wechsler, 1991). Test–retest reliability has been shown
to be adequate for the backward word span task (r = .82,
p < .001). Regarding the CSOT, a previous study (Tillman,
Eninger, Forssman, & Bohlin, 2011) has reported adequate
split-half reliability for this task, .63.
In the CSOT, the child was presented with a list of com-
mon objects (e.g., pencil, mountain, train) read aloud at a
rate of one item per second; the child was then asked to
repeat the object names in order of size from smallest to
largest. The task began with two items per trial and became
gradually more difficult, concluding with a maximum of
seven items per trial. All children were administered all tri-
als, regardless of performance. The test was not time lim-
ited. The WM score derived from the task was the total pairs
of items ordered correctly across all trials.
In the backward word span task (Thorell & Wåhlstedt,
2006), the experimenter read unrelated nouns (e.g., flower,
dog, chair) to the child (ranging from 2 to 9) with a speed of
1 word/s. The child was first presented with two words, and
the span length thereafter increased by one word on every
other trial until the child failed to repeat at least one trial
correctly at a particular sequence length. After the experi-
menter said the words, the child had to say them in the
reverse order. One point was given to the child for each cor-
rect trial. The WM score derived from the task was the total
number of correct trials. To form a broad measure of WM,
scores from the two tasks were standardized and aggregated
(r = .34, p < .001). Low values indicate poor WM.
RTV. Data for the measures were obtained from the comput-
erized go/no-go task. Reaction times less than 150 ms on the
task were viewed as anticipatory errors and were discarded,
in line with previous research (Geurts et al., 2008). RTV (SD
in reaction time) was based on all correct “go trials” from
both parts of the two conditions (normal and slow) in the go/
no-go task. High values indicate increased RTV.
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Truedsson et al. 5
Intelligence. Two subtests from the WISC-III (Wechsler,
1991)—information and block design—were used to tap
general intelligence. Both subtests are considered reliable
and have been shown to correlate highly with full-scale IQ
(information: r = .95; block design: r = .93; Groth-Marnat,
1997). An aggregated mean score of standard points was
used as a measure of intelligence (r = .36, p < .001).
Ratings of Behavioral Symptoms
Measures regarding symptoms of ADHD, ASD, internaliz-
ing problems, and conduct problems were based on
aggregated mean scores of parent and teacher ratings
(ADHD: r = .46, p < .001; ASD: r = .31, p < .001; inter-
nalizing problems: r = .33, p < .001; conduct problems:
r = .39, p < .001) to obtain measures that reflected the
child’s behavior across contexts. Internal consistency as
measured by Cronbach’s alpha was adequate to high with
regard to both parent and teacher ratings of the behav-
ioral symptoms, with coefficients ranging from .68
to .94.
ADHD symptoms were measured using the ADHD
Rating Scale−IV (Dupaul, Thomas, & Anastopoulos,
1998). The scale includes 18 items (9 items assess symp-
toms of inattention, 9 items assess impulsivity/hyperactiv-
ity symptoms). Each item on the scale was scored on a
4-point scale ranging from 0 (never or rarely) to 3 (very
often). This measure has been validated and is frequently
used in ADHD research (Dupaul et al., 1997). ASD symp-
toms were assessed using 8 items from the Autism
Spectrum Screening Questionnaire (ASSQ; Ehlers &
Gillberg, 1993), a well validated instrument for screening
high-functioning ASD in both clinical and non-clinical
samples (Ehlers, Gillberg, & Wing, 1999; Posserud,
Lundervold, & Gillberg, 2006; Mattila et al., 2009). The 8
items tap core symptoms of the broad autism phenotype
(i.e., social interaction, communication problems, and
restricted and repetitive behavior) and has previously been
used to assess ASD symptoms in school-aged children
(Bohlin, Eninger, Brocki, & Thorell, 2012). Examples of
items are “can be with other children, but only on his/her
terms,” “uses language freely, but fails to make adjust-
ments to fit social contexts and the needs of different lis-
teners,” and “has special routines: insists on no change.”
Each item was scored on a 5-point scale ranging from 1
(does not apply at all) to 5 (applies very well). Conduct
problems and internalizing problems were measured with
the Strengths and Difficulties Questionnaire (SDQ;
Goodman, 1997), subscales conduct problems respectively
emotional problems. Each subscale includes 5 items, and
ratings were made on a 5-point scale ranging from 1 (does
not apply at all) to 5 (applies very well). The SDQ has been
shown to have adequate reliability and validity (Malmberg,
Rydell, & Smedje, 2003).
Data Management and Statistical Analyses
Prior to analysis, data were screened for outliers, defined as
values ±3 SD and replaced with the value that was the next
most extreme, in line with the Winsorizing procedure
(Chen, Welsh, & Chan, 2001). No multivariate outliers
defined by Cook’s D > 1 (Cook & Weisberg, 1982) were
identified in any of the subsequent analyses. Relations
between the neuropsychological functions and ADHD and
ASD symptoms were first analyzed using correlations. To
examine the independent contributions of neuropsychologi-
cal functions in relation to symptoms of ADHD and ASD
separately, multiple regression analyses were used in which
all neuropsychological functions that significantly corre-
lated with the analyzed symptom domain were entered
together. Thereafter, to explore specificity, regression anal-
ysis was used in which each neuropsychological measure
was entered as a predictor variable together with the other
symptom domain (ADHD or ASD) in separate analyses.
Finally, independent contributions in relation to ADHD and
ASD symptoms were examined while controlling for the
other symptom domain. All analyses were made adjusting
for sex because the variable was associated with both pre-
dictors and outcomes. In addition, to assess whether intel-
ligence or common co-occurring behavioral problems
(conduct problems and internalizing problems, respec-
tively) would influence the relations between the symptom
domains and the neuropsychological functions, we re-ran
the analyses with control for each of these variables. All
instances in which this led to changed conclusions are
reported.
Results
Descriptive statistics for behavioral symptoms, neuropsy-
chological functions, and control variables are presented in
Table 1. Intercorrelations among all variables, adjusted for
sex, are shown in Table 2. Behavioral ratings of ADHD and
ASD symptoms were highly correlated (r = .62, p < .001).
Regarding the relation between the neuropsychological func-
tions and the symptom domains, we found that poorer perfor-
mance on inhibition and WM as well as increased RTV were
associated with higher levels of both ADHD and ASD symp-
toms. Conduct problems as well as internalizing problems
were positively correlated with symptoms of both ADHD
and ASD. Higher levels of conduct problems were associated
to poorer performance on inhibition. Furthermore, lower
intelligence was associated with higher levels of conduct
problems and to poorer performance on inhibition and WM.
Multiple regression analyses were performed to investi-
gate the independent contributions of neuropsychological
functions in relation to the two symptom domains. Sex and
the three neuropsychological measures were entered together
as predictor variables. As seen in Table 3, inhibition and
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6 Journal of Attention Disorders
RTV contributed independently to ADHD symptoms
whereas inhibition and WM contributed independently to
ASD symptoms. While re-analyzing and controlling for con-
duct problems, the independent contributions of inhibition
and WM to symptoms of ASD became non-significant (β =
.04, p = .53 and β = −11, p = .06, respectively, ΔR
2
= .39).
To examine specificity, regression analyses were used in
which each neuropsychological measure was entered as a
predictor together with sex and the other symptom domain
(ADHD or ASD) in separate analyses. We found that inhibi-
tion and RTV remained associated to ADHD symptoms
after controlling for symptoms of ASD (β = .31, p < .001 and
β = .22, p < .01, respectively), whereas WM did not remain
related to ADHD symptoms (β = −08, p = .13). No associa-
tions between the separate neuropsychological functions and
ASD symptoms remained after controlling for ADHD symp-
toms (inhibition: β = −07, p = .26; WM: β = −08, p = .17;
RTV: β = −03, p = .64). Thus regarding WM, no association
remained with either ADHD or ASD symptoms after con-
trolling for symptoms of the other domain. Given that sev-
eral neuropsychological measures were specifically related
to ADHD symptoms, independent contributions were also
investigated while controlling for ASD symptoms. Sex,
ASD symptoms, and the neuropsychological measures were
entered together as predictor variables with ADHD symp-
toms as the dependent variable. Both inhibition and RTV
showed independent contributions to ADHD symptoms
(β = .27, p < .001 and β = .15, p < .01, respectively, ΔR
2
= .53).
Discussion
The present study set out to examine the specificity of inhi-
bition, WM, and RTV in relation to symptoms of ADHD
and ASD in a community sample. Prior to controlling for
the other symptom domain, all neuropsychological mea-
sures were related to both ADHD and ASD symptoms.
Independent contributions of inhibition and RTV were evi-
dent in relation to symptoms of ADHD, whereas inhibition
and WM made independent contributions to symptoms of
ASD. Regarding specificity, inhibition and RTV were spe-
cifically related to ADHD symptoms. However, WM was
not specifically associated with ADHD symptoms, which
runs counter to our prediction. Furthermore, the indepen-
dent contributions of inhibition and RTV to ADHD symp-
toms remained after controlling for ASD symptoms.
Independent Contributions of Neuropsychological
Functions to ADHD and ASD Symptoms
In accordance with our hypotheses, we found that ADHD
symptoms were independently associated with both inhibition
and RTV. More interestingly, the independent contributions
Table 2. Intercorrelations Between Behavioral Ratings, Neuropsychological Measures, and Intelligence Adjusting for Sex (N = 200).
1 2 3 4 5 6 7 8
1. ADHD .62*** .61*** .25*** .43*** −.21** .34*** −.14
2. ASD .60*** .49*** .21** −.20** .18* −08
3. Conduct problems .22** .23** −13 .13 −16*
4. Internalizing problems .03 −.07 .07 .03
5. Inhibition −.14* .29*** −20**
6. WM −.22** .41***
7. RTV −.02
8. Intelligence
Note. ASD = autism spectrum disorder; WM = working memory; RTV = reaction time variability.
*p < .05. **p < .01. ***p < .001.
Table 3. Results of Regression Analyses Studying Independent Contributions of Neuropsychological Functions in Relation to ADHD
and ASD Symptoms, Adjusting for Sex.
ADHD ASD
ΔR
2
β ΔR
2
β
Inhibition .29 .34*** .09 .16*
a
WM −.11 −.16*
a
RTV .20** .10
Note. The neuropsychological measures are entered together as predictor variables with respective symptom domain (ADHD or ASD) as the depen-
dent variable. ASD = autism spectrum disorder; WM = working memory; RTV = reaction time variability.
a
The associations were non-significant when controlling for conduct problems.
*p < .05. **p < .01. ***p < .001.
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Truedsson et al. 7
remained after controlling for ASD symptoms. Our findings,
therefore, extend previous knowledge by demonstrating that
the two functions contribute with unique variance to ADHD
symptoms even in the presence of ASD symptoms. Inhibition
and RTV, therefore, seem to be of greater importance than
WM in relation to ADHD symptoms in the age group studied.
This is supported by a recent clinical study with school-aged
children (Sjöwall et al., 2013) in which inhibition and RTV,
whereas not WM, independently predicted group status
(ADHD vs. control).
In relation to ASD symptoms, inhibition and WM made
independent contributions. The two EFs have been dis-
cussed in relation to different core characteristics of ASD:
inhibition to repetitive, stereotyped patterns of behavior
(Mosconi et al., 2009) and WM to theory of mind and social
cognition (Barendse et al., 2013). However, when control-
ling for ADHD symptoms or conduct problems, the inde-
pendent contributions of inhibition and WM to symptoms
of ASD did not remain. This suggests that it is relevant to
consider both symptoms of ADHD and conduct problems
when examining neuropsychological functions in relation
to ASD symptoms. However, the relation between conduct
problems and neuropsychological functions may also pos-
sibly be explained by the large overlap between conduct
problems and ADHD symptoms. Studies examining ADHD
and conduct problems in relation to EFs have shown that
poor EF is primarily related to ADHD (Berlin & Bohlin,
2002; Brocki & Bohlin, 2006; Oosterlaan, Scheres, &
Sergeant, 2005; Sergeant, Geurts, & Oosterlaan, 2002). In
addition, the fact that the independent contribution of inhi-
bition remained to ADHD symptoms when controlling for
conduct problems as well as ASD symptoms further sup-
ports that it is ADHD symptoms and not conduct problems
that are primarily associated to EFs.
Specificity of Neuropsychological Functions in
Relation to ADHD and ASD Symptoms
Inhibition. Inhibition was significantly associated with
symptoms of ADHD and ASD. Furthermore, consistent
with our predictions, inhibition was specifically related to
ADHD symptoms. The present findings are thus in line
with results from clinical studies in which the other symp-
tom domain has been taken into account (Bühler et al.,
2011; Happé et al., 2006; Sinzig et al., 2008) as well as with
a recent study that gives strong support to the validity of
inhibition as an endophenotype of ADHD (Crosbie et al.,
2013). Thus, it is possible that previous findings from clini-
cal studies documenting inhibition deficits in children with
ASD can be explained by elevated levels of ADHD
symptoms.
WM. In line with our expectations, prior to controlling for
the other symptom domain, WM was associated with symp-
toms of both ADHD and ASD. However, our prediction that
WM would be specifically related to ADHD symptoms was
not confirmed in the current study. Although clinical studies
comparing WM capacity in children with ADHD and chil-
dren with ASD have found lower WM performance related
primarily to ADHD (Happé et al., 2006; Sinzig et al., 2008;
van der Meer et al., 2012), the current findings suggest that
lower WM performance may be a shared cognitive charac-
teristic for symptoms of the two disorders. Interestingly, it
has been suggested that the association between ADHD and
ASD symptoms is a consequence of genetic overlap with
attention difficulties (Polderman et al., 2013). In addition,
when ADHD symptoms have been further divided into
symptoms of inattention and hyperactivity/impulsivity,
WM has been shown to be related primarily to symptoms of
inattention (Brocki, Eninger, Thorell, & Bohlin, 2010;
Chhabildas, Pennington, & Willcutt, 2001). Therefore,
given the strong association between WM and attention
(Unsworth & Engle, 2007), it is plausible that WM could be
a common factor reflecting deficits in attention shared by
symptoms of ADHD and ASD. Of the previous studies on
this issue that found WM to be primarily related to ADHD,
two included only a single spatial task to tap WM (Happé
et al., 2006; Sinzig et al., 2008) whereas in the current study,
two verbal WM tasks were used. The discrepancy between
the current findings and the previous ones may therefore be
influenced by modality, although other factors may also be
of relevance, such as executive demand (Kasper, Alderson,
& Hudec, 2012). Thus, future studies aimed at further
understanding the specific and shared associations between
WM and the two symptom domains would benefit from
including several measures designed to tap various sub-
functions of WM. Furthermore, the associations between
WM and the symptom domains found in the current study
may be influenced by age-dependent factors. In the study
by Happé et al. (2006) children with ADHD and ASD per-
formed worse than typically developing children on a spa-
tial WM task at young ages (8-10 years) while at older ages
(11-16 years), only children with ADHD displayed impaired
performance. Thus, research on the issue from a develop-
mental perspective is warranted.
RTV. Increased RTV was significantly associated with
symptoms of both ADHD and ASD. Although increased
RTV previously has been suggested to be associated to symp-
toms of both disorders (Rommelse et al., 2011), our findings,
in line with a recent meta-analysis on clinical samples
(Karalunas et al., 2014), propose that increased RTV may be
specific to ADHD symptoms. Thus, although it has been sug-
gested that increased RTV reflects non-specific brain pathol-
ogy associated to a number of neurodevelopmental disorders
(Castellanos et al., 2006), the current findings support the
hypothesis that increased RTV is primarily associated to
ADHD symptoms. Hence, the results support models in
which increased RTV is considered to be connected to
domain-specific deficits, such as the state regulation model
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8 Journal of Attention Disorders
or the cognitive energetic model (Börger & van der Meere,
2000; Sergeant, 2000). In addition, in the present study,
increased RTV continued to make independent contribu-
tions to symptoms of ADHD together with inhibition after
controlling for ASD. The findings therefore provide further
support for the role of RTV as a cognitive characteristic of
ADHD symptoms.
Limitations
Although the present study is the first to dimensionally study
the specificity of neuropsychological functions in relation to
symptoms of ADHD and ASD, a few limitations should be
noted. Although community-based studies on symptoms of
ADHD and ASD should be viewed as a valuable comple-
ment to clinical research, it should also be noted that there
may be constraints on the generalizability of the findings to
clinical populations. Thus, research with children formally
diagnosed with ADHD and ASD is warranted.
Furthermore, the study is cross-sectional, it only pro-
vides information about a particular point in development.
In addition, future studies would benefit from including a
broader battery of neuropsychological, motivational, and
emotional measures (in particular to tap functions that have
been shown to be primarily related to ASD, such as central
coherence and theory of mind) to provide more knowledge
of unique and shared endophenotypes of the two symptom
domains. In the current study, behavioral symptom levels
were based on questionnaires only, which, compared with
interviews, might overestimate the degree of comorbidity
given that questionnaires do not allow further explanation
of questions. However, by including both parent and teacher
ratings, symptoms from two different situations and sources
were captured.
Conclusion
In the current study, symptoms of both ADHD and ASD
were associated with lower performance on several neuro-
psychological tasks. However, the dimensional analysis
regarding specificity showed that poor inhibition and
increased RTV were specifically associated with symptoms
of ADHD, whereas for WM, no specific association was
found with either symptom domain. The current study dem-
onstrates that dimensional approaches are useful in under-
standing the relationship between neuropsychological
functions and symptoms of ADHD and ASD in more depth.
Our study also extends previous findings by showing not
only the specificity but also independent contributions of
inhibition and RTV in relation to symptoms of ADHD when
controlling for symptoms of ASD. The findings, therefore,
further strengthen the importance of both inhibition and
RTV as neuropsychological characteristics of ADHD
symptoms.
Authors’ Note
This study has been designed in accordance with the ethics rules of
the Swedish Research Council.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with
respect to the research, authorship, and/or publication of this
article.
Funding
The author(s) disclosed receipt of the following financial support
for the research, authorship, and/or publication of this article: This
study was supported by Grant 2009-0869 from the Swedish
Research Council for Health, Working Life and Welfare.
References
Alderson, R. M., Rapport, M. D., Hudec, K. L., Sarver, D. E., &
Kofler, M. J. (2010). Competing core processes in attention-
deficit/hyperactivity disorder (ADHD): Do working memory
deficiencies underlie behavioral inhibition deficits? Journal
of Abnormal Child Psychology, 38, 497-507.
American Psychiatric Association. (2013). Diagnostic and sta-
tistical manual of mental disorders (5th ed.). Arlington, VA:
American Psychiatric Publishing.
Barendse, E. M., Hendriks, M. P., Jansen, J. F., Backes, W. H.,
Hofman, P. A., Thoonen, G., . . . Aldenkamp, A. P. (2013).
Working memory deficits in high-functioning adolescents
with autism spectrum disorders: Neuropsychological and
neuroimaging correlates. Journal of Neurodevelopmental
Disorders, 5(1), 14.
Barkley, R. A. (1997). Behavioral inhibition, sustained attention,
and executive functions: Constructing a unifying theory of
ADHD. Psychological Bulletin, 121, 65-94.
Bauermeister, J. J., Shrout, P. E., Ramírez, R., Bravo, M., Alegría,
M., Martínez-Taboas, A., . . . Canino, G. (2007). ADHD corre-
lates, comorbidity, and impairment in community and treated
samples of children and adolescents. Journal of Abnormal
Child Psychology, 35, 883-898.
Berlin, L., & Bohlin, G. (2002). Response inhibition, hyperactiv-
ity and conduct problems among preschool children. Journal
of Clinical Child & Adolescent Psychology, 31, 242-251.
Bohlin, G., Eninger, L., Brocki, K. C., & Thorell, L. B. (2012).
Disorganized attachment and inhibitory capacity: Predicting
externalizing problem behaviors. Journal of Abnormal Child
Psychology, 40, 449-458.
Börger, N., & van der Meere, J. (2000). Motor control and state
regulation in children with ADHD: A cardiac response study.
Biological Psychology, 51, 247-267.
Brocki, K. C., & Bohlin, G. (2006). Developmental change in
the relation between executive functions and symptoms of
ADHD and co-occurring behaviour problems. Infant and
Child Development, 15, 19-40.
Brocki, K. C., Eninger, L., Thorell, L. B., & Bohlin, G. (2010).
Interrelations between executive function and symptoms of
hyperactivity/impulsivity and inattention in preschoolers:
A two year longitudinal study. Journal of Abnormal Child
Psychology, 38, 163-171.
at Uppsala Universitetsbibliotek on June 4, 2015jad.sagepub.comDownloaded from
Truedsson et al. 9
Brocki, K. C., Nyberg, L., Thorell, L. B., & Bohlin, G. (2007).
Early concurrent and longitudinal symptoms of ADHD
and ODD: Relations to different types of inhibitory control
and working memory. Journal of Child Psychology and
Psychiatry, and Allied Disciplines, 48, 1033-1041.
Bühler, E., Bachmann, C., Goyert, H., Heinzel-Gutenbrunner, M.,
& Kamp-Becker, I. (2011). Differential diagnosis of autism
spectrum disorder and attention deficit hyperactivity disorder
by means of inhibitory control and “theory of mind.” Journal
of Autism and Developmental Disorders, 41, 1718-1726.
Castellanos, F. X., Sonuga-Barke, E. J. S., Milham, M. P., &
Tannock, R. (2006). Characterizing cognition in ADHD:
Beyond executive dysfunction. Trends in Cognitive Sciences,
10, 117-123.
Chen, L. A., Welsh, A. H., & Chan, W. (2001). Estimators for the
linear regression model based on Winsorized observations.
Statistica Sinica, 11, 147-172.
Chhabildas, N., Pennington, B. F., & Willcutt, E. G. (2001). A
comparison of the neuropsychological profiles of the DSM-IV
subtypes of ADHD. Journal of Abnormal Child Psychology,
29, 529-540.
Christ, S. E., Holt, D. D., White, D. A., & Green, L. (2007).
Inhibitory control in children with autism spectrum disor-
der. Journal of Autism and Developmental Disorders, 37,
1155-1165.
Christ, S. E., Kester, L. E., Bodner, K. E., & Miles, J. H. (2011).
Evidence for selective inhibitory impairment in individu-
als with autism spectrum disorder. Neuropsychology, 25,
690-701.
Constantino, J. N., & Todd, R. D. (2003). Autistic traits in the gen-
eral population: A twin study. Archives of General Psychiatry,
60, 524-530.
Cook, R. D., & Weisberg, S. (1982). Residuals and influence in
regression. New York, NY: Chapman & Hall.
Crosbie, J., Arnold, P., Paterson, A., Swanson, J., Dupuis, A.,
Li, X., . . . Schachar, R. J. (2013). Response inhibition and
ADHD traits: Correlates and heritability in a community
sample. Journal of Abnormal Child Psychology, 41, 497-507.
Diamantopoulou, S., Rydell, A.-M., Thorell, L. B., & Bohlin,
G. (2007). Impact of executive functioning and symptoms
of attention deficit hyperactivity disorder on children’s
peer relations and school performance. Developmental
Neuropsychology, 32, 521-542.
Dupaul, G. J., Power, T. J., Anastopoulos, A. D., Reid, R., Mcgoey,
K. E., & Ikeda, M. (1997). Teacher ratings of attention deficit
hyperactivity disorder symptoms: Factor structure and norma-
tive data. Psychological Assessment, 9, 436-444.
Dupaul, G. J., Thomas, J., & Anastopoulos, A. D. (1998). ADHD
Rating Scale-IV: Checklists, norms, and clinical interpreta-
tion. New York, NY: Guilford Press.
Ehlers, S., & Gillberg, C. (1993). The epidemiology of Asperger
syndrome. A total population study. Journal of Child
Psychology and Psychiatry, 34, 1327-1350.
Ehlers, S., Gillberg, C., & Wing, L. (1999). A screening ques-
tionnaire for asperger syndrome and other high-functioning
autism spectrum disorders in school age children. Journal of
Autism and Developmental Disorders, 29, 129-141.
Gargaro, B. A., Rinehart, N. J., Bradshaw, J. L., Tonge, B. J.,
& Sheppard, D. M. (2011). Autism and ADHD: How far
have we come in the comorbidity debate? Neuroscience &
Biobehavioral Reviews, 35, 1081-1088.
Geurts, H. M., Grasman, R. P., Verté, S., Oosterlaan, J., Roeyers,
H., van Kammen, S. M., & Sergeant, J. A. (2008). Intra-
individual variability in ADHD, autism spectrum disorders
and Tourette’s syndrome. Neuropsychologia, 46, 3030-3041.
Goldberg, M. C., Mostofsky, S. H., Cutting, L. E., Mahone, E.
M., Astor, B. C., Denckla, M., & Sergeant, J. A. (2005).
Subtle executive impairment in children with autism and
children with ADHD. Journal of Autism and Developmental
Disorders, 35, 279-293.
Goodman, R. (1997). The strengths and difficulties questionnaire:
A research note. Journal of Child Psychology and Psychiatry,
38, 581-586.
Groth-Marnat, G. (1997). Handbook of psychological assessment
(3rd ed.). New York, NY: Wiley.
Happé, F., Booth, R., Charlton, R., & Hughes, C. (2006).
Executive function deficits in autism spectrum disorders and
attention-deficit/hyperactivity disorder: Examining profiles
across domains and ages. Brain and Cognition, 61, 25-39.
Karalunas, S. L., Geurts, H. M., Konrad, K., Bender, S., & Nigg, J.
T. (2014). Annual Research Review: Reaction time variabil-
ity in ADHD and autism spectrum disorders: Measurement
and mechanisms of a proposed trans-diagnostic phenotype.
Journal of Child Psychology and Psychiatry, 55, 685-710.
Kasper, L. J., Alderson, R. M., & Hudec, K. L. (2012). Moderators
of working memory deficits in children with attention-deficit/
hyperactivity disorder (ADHD): A meta-analytic review.
Clinical Psychology Review, 32, 605-617.
Kofler, M. J., Rapport, M. D., Sarver, D. E., Raiker, J. S., Orban, S.
A., Friedman, L. M., & Kolomeyerb, E. G. (2013). Reaction
time variability in ADHD: A meta-analytic review of 319
studies. Clinical Psychology Review, 33, 795-811.
Kuntsi, J., Oosterlaan, J., & Stevenson, J. (2001). Psychological
mechanisms in hyperactivity: I. Response inhibition deficit,
working memory impairment, delay aversion, or something
else? Journal of Child Psychology and Psychiatry, 42, 199-210.
Levy, F., Hay, D. A., McStephen, M., Wood, C., & Waldman, I.
(1997). Attention-deficit hyperactivity disorder: A category
or a continuum? Genetic analysis of a large-scale twin study.
Journal of the American Academy of Child & Adolescent
Psychiatry, 36, 737-744.
Malmberg, M., Rydell, A.-M., & Smedje, H. (2003). Validity
of the Swedish version of the Strengths and Difficulties
Questionnaire (SDQ-Swe). Nordic Journal of Psychiatry, 57,
357-363.
Marcus, D. K., & Barry, T. D. (2011). Does attention-deficit/
hyperactivity disorder have a dimensional latent structure? A
taxometric analysis. Journal of Abnormal Psychology, 120,
427-442.
Mattila, M. L., Jussila, K., Kuusikko, S., Kielinen, M., Linna,
S. L., Ebeling, H., . . . Moilanen, I. (2009). When does the
Autism Spectrum Screening Questionnaire (ASSQ) predict
autism spectrum disorders in primary school-aged children?
European Child & Adolescent Psychiatry, 18, 499-509.
McInerney, R. J., Hrabok, M., & Kerns, K. A. (2005). The chil-
dren’s size-ordering task: A new measure of nonverbal
working memory. Journal of Clinical and Experimental
Neuropsychology, 27, 735-745.
at Uppsala Universitetsbibliotek on June 4, 2015jad.sagepub.comDownloaded from
10 Journal of Attention Disorders
Mosconi, M. W., Kay, M., D’Cruz, A. M., Seidenfeld, A., Guter,
S., Stanford, L. D., & Sweeney, J. A. (2009). Impaired inhibi-
tory control is associated with higher-order repetitive behav-
iors in autism spectrum disorders. Psychological Medicine,
39, 1559-1566.
Oosterlaan, J., Scheres, A., & Sergeant, J. A. (2005). Which exec-
utive functioning deficits are associated with AD/HD, ODD/
CD and comorbid AD/HD+ODD/CD? Journal of Abnormal
Child Psychology, 33, 69-85.
Polderman, T. J. C., Hoekstra, R., Vinkhuyzen, E., Sullivan, P.
F., van der Sluis, S., & Posthuma, D. (2013). Attentional
switching forms a genetic link between attention problems
and autistic traits in adults. Psychological Medicine, 43,
1985-1996.
Posserud, M. B., Lundervold, A. J., & Gillberg, C. (2006).
Autistic features in a total population of 7–9-year-old chil-
dren assessed by the ASSQ (Autism Spectrum Screening
Questionnaire). Journal of Child Psychology and Psychiatry,
47, 167-175.
Robinson, E. B., Munir, K., Munafò, M. R., Hughes, M.,
McCormick, M. C., & Koenen, K. C. (2011). Stability of
autistic traits in the general population: Further evidence for a
continuum of impairment. Journal of the American Academy
of Child & Adolescent Psychiatry, 50, 376-384.
Robinson, S., Goddard, L., Dritschel, B., Wisley, M., & Howlin,
P. (2009). Executive functions in children with autism spec-
trum disorders. Brain and Cognition, 71, 362-368.
Rommelse, N. N., Geurts, H. M., Franke, B., Buitelaar, J. K., &
Hartman, C. A. (2011). A review on cognitive and brain endo-
phenotypes that may be common in autism spectrum disorder
and attention-deficit/hyperactivity disorder and facilitate the
search for pleiotropic genes. Neuroscience & Biobehavioral
Reviews, 35, 1363-1396.
Ronald, A., Simonoff, E., Kuntsi, J., Asherson, P., & Plomin,
R. (2008). Evidence for overlapping genetic influences on
autistic and ADHD behaviours in a community twin sample.
Journal of Child Psychology and Psychiatry, 49, 535-542.
Sanderson, C., & Allen, M. L. (2013). The specificity of inhibi-
tory impairments in autism and their relation to ADHD-type
symptoms. Journal of Autism and Developmental Disorders,
43, 1065-1079.
Sergeant, J. (2000). The cognitive-energetic model: An empiri-
cal approach to attention-deficit hyperactivity disorder.
Neuroscience & Biobehavioral Reviews, 24, 7-12.
Sergeant, J., Geurts, H., & Oosterlaan, J. (2002). How specific is a
deficit of executive functioning for attention deficit/hyperac-
tivity disorder? Behavioral Brain Research, 130, 3-28.
Sinzig, J., Morsch, D., Bruning, N., Schmidt, M. H., & Lehmkuhl,
G. (2008). Inhibition, flexibility, working memory and plan-
ning in autism spectrum disorders with and without comor-
bid ADHD-symptoms. Child and Adolescent Psychiatry and
Mental Health, 2(1), Article 4.
Sjöwall, D., Roth, L., Lindqvist, S., & Thorell, L. B. (2013).
Multiple deficits in ADHD: Executive dysfunction, delay
aversion, reaction time variability, and emotional deficits.
Journal of Child Psychology and Psychiatry, 54, 619-627.
Sonuga-Barke, E., Bitsakou, P., & Thompson, M. (2010). Beyond
the dual pathway model: Evidence for the dissociation of timing,
inhibitory, and delay-related impairments in attention-deficit/
hyperactivity disorder. Journal of the American Academy of
Child & Adolescent Psychiatry, 49, 345-355.
Sucksmith, E., Roth, I., & Hoekstra, R. (2011). Autistic traits
below the clinical threshold: Re-examining the broader autism
phenotype in the 21st century. Neuropsychology Review, 21,
360-389.
Thorell, L. B. (2007). Do delay aversion and executive function
deficits make distinct contributions to the functional impact
of ADHD symptoms? A study of early academic skill defi-
cits. Journal of Child Psychology and Psychiatry, and Allied
Disciplines, 48, 1061-1070.
Thorell, L. B., & Wåhlstedt, C. (2006). Executive functioning defi-
cits in relation to symptoms of ADHD and/or ODD in preschool
children. Infant and Child Development, 15(5), 503-518.
Tillman, C. M., Eninger, L., Forssman, L., & Bohlin, G. (2011).
The relation between working memory components and
ADHD symptoms from a developmental perspective.
Developmental Neuropsychology, 36, 181-198.
Unsworth, N., & Engle, R. W. (2007). The nature of individual
differences in working memory capacity: Active maintenance
in primary memory and controlled search from secondary
memory. Psychological Review, 114, 104-132.
van der Meer, J. M., Oerlemans, A. M., van Steijn, D. J.,
Lappenschaar, M. G., de Sonneville, L. M., Buitelaar, J. K.,
& Rommelse, N. N. (2012). Are autism spectrum disorder
and attention-deficit/hyperactivity disorder different mani-
festations of one overarching disorder? Cognitive and symp-
tom evidence from a clinical and population-based sample.
Journal of the American Academy of Child & Adolescent
Psychiatry, 51, 1160-1172.
Wåhlstedt, C., & Bohlin, G. (2010). DSM-IV-defined inatten-
tion and sluggish cognitive tempo: Independent and interac-
tive relations to neuropsychological factors and comorbidity.
Child Neuropsychology, 16(4), 350-365.
Wåhlstedt, C., Thorell, L. B., & Bohlin, G. (2009). Heterogeneity
in ADHD: Neuropsychological pathways, comorbidity and
symptom domains. Journal of Abnormal Child Psychology,
37(4), 551-564.
Wechsler, D. (1991). Wechsler Intelligence Scale for Children
(3rd ed.). New York, NY: Psychological Corporation.
Willcutt, E. G., Doyle, A. E., Nigg, J. T., Faraone, S. V., &
Pennington, B. F. (2005). Validity of the executive function
theory of attention-deficit/hyperactivity disorder: A meta-
analytic review. Biological Psychiatry, 57, 1336-1346.
Yerys, B. E., Wallace, G. L., Sokoloff, J. L., Shook, D. A., James,
J. D., & Kenworthy, L. (2009). Attention deficit/hyperactiv-
ity disorder symptoms moderate cognition and behavior in
children with autism spectrum disorders. Autism Research, 2,
322-333.
Author Biographies
Erik Truedsson is a PhD student at the Department of Psychology
at Uppsala University.
Gunilla Bohlin is a professor in psychology at the Department of
Psychology, Uppsala University.
Cecilia Wåhlstedt is a researcher at the Department of Psychology,
Uppsala University.
at Uppsala Universitetsbibliotek on June 4, 2015jad.sagepub.comDownloaded from
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... While not significant statistically, both ADHD groups also demonstrated a pattern of increased mean SSRT relative to TD controls. Together these findings suggest that motor inhibition difficulties are primarily associated with ADHD diagnosis, which is in line with evidence from several behavioural studies showing increased difficulties of cognitive control or motor inhibition problems in ASD + ADHD relative to ASD alone [9,10,62,63], and of specific associations between executive control and ADHD symptoms among individuals with ASD [11,64]. ...
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Autism spectrum disorder (ASD) often co-occurs with attention-deficit/hyperactivity disorder (ADHD) and people with these conditions have frontostriatal functional atypicality during motor inhibition. We compared the neural and neurocognitive correlates of motor inhibition and performance monitoring in young adult males with “pure” and combined presentations with age-and sex-matched typically developing controls, to explore shared or disorder-specific atypicality. Males aged 20–27 years with typical development (TD; n = 22), ASD (n = 21), combined diagnoses ASD + ADHD (n = 23), and ADHD (n = 25) were compared using a modified tracking fMRI stop-signal task that measures motor inhibition and performance monitoring while controlling for selective attention. In addition, they performed a behavioural go/no-go task outside the scanner. While groups did not differ behaviourally during successful stop trials, the ASD + ADHD group relative to other groups had underactivation in typical performance monitoring regions of bilateral anterior insula/inferior frontal gyrus, right posterior thalamus, and right middle temporal gyrus/hippocampus during failed inhibition, which was associated with increased stop-signal reaction time. In the behavioural go/no-go task, both ADHD groups, with and without ASD, had significantly lower motor inhibition performance compared to TD controls. In conclusion, only young adult males with ASD + ADHD had neurofunctional atypicality in brain regions associated with performance monitoring, while inhibition difficulties on go/no-go task performance was shared with ADHD. The suggests that young people with ASD + ADHD are most severely impaired during motor inhibition tasks compared to ASD and ADHD but do not reflect a combination of the difficulties associated with the pure disorders.
... More than half of our participants performed above the 90th percentile in the tests of simple reaction time at the finger and the foot, confirming previous reports of slow processing speed in ASD individuals [56]. Some studies [57][58][59] have also shown an increased response time variability in ASD but these works considered ASD subjects with Attention Deficit Hyperactivity Disorder. We might conclude that children and adolescents with ASD are slower compared with age-matched TD peers. ...
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... These findings gave rise to the hypothesis that ADHD and ASD may be viewed as different manifestations of the same overarching disorder, with each diagnosis representing the extreme end of a complex multivariate trait and with most clinical cases presenting various combinations of ADHD and ASD symptoms (Antshel, Zhang-James, Wagner, Ledesma, & Faraone, 2016). Even without hypothesizing about a single, overarching disorder, it is well accepted that core features of both ADHD and ASD-in particular inattention and social deficits-overlap, and that partly, but not fully, overlapping patterns are found in cognitive and behavioral traits associated with ADHD and ASD traits (Rommelse, Geurts, Franke, Buitelaar, & Hartman, 2011;Truedsson, Bohlin, & Wåhlstedt, 2015;van der Meer et al., 2017). Such hypothesis would lead to the abandonment of viewing ADHD and ASD as opposing phenotypes (e.g., Mayes, Calhoun, Mayes, & Molitoris, 2012). ...
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Neuroimaging has been extensively used to study brain structure and function in individuals with attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) over the past decades. Two of the main shortcomings of the neuroimaging literature of these disorders are the small sample sizes employed and the heterogeneity of methods used. In 2013 and 2014, the ENIGMA‐ADHD and ENIGMA‐ASD working groups were respectively, founded with a common goal to address these limitations. Here, we provide a narrative review of the thus far completed and still ongoing projects of these working groups. Due to an implicitly hierarchical psychiatric diagnostic classification system, the fields of ADHD and ASD have developed largely in isolation, despite the considerable overlap in the occurrence of the disorders. The collaboration between the ENIGMA‐ADHD and ‐ASD working groups seeks to bring the neuroimaging efforts of the two disorders closer together. The outcomes of case–control studies of subcortical and cortical structures showed that subcortical volumes are similarly affected in ASD and ADHD, albeit with small effect sizes. Cortical analyses identified unique differences in each disorder, but also considerable overlap between the two, specifically in cortical thickness. Ongoing work is examining alternative research questions, such as brain laterality, prediction of case–control status, and anatomical heterogeneity. In brief, great strides have been made toward fulfilling the aims of the ENIGMA collaborations, while new ideas and follow‐up analyses continue that include more imaging modalities (diffusion MRI and resting‐state functional MRI), collaborations with other large databases, and samples with dual diagnoses.
... By pooling the results of 17 studies, Karalunas et al. (2014) obtained tentative evidence that, although high RTV is indeed associated with ASD, this is only in the presence of comorbid ADHD. This is further consistent with data from a general population study suggesting that RTV may predict ADHD traits beyond ASD traits (Truedsson et al. 2015). ...
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Both attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have been linked to increased reaction time variability (RTV), a marker of attentional fluctuation. Here we test whether specificity to either trait emerges when we examine (1) detailed ex-Gaussian and frequency RTV subcomponents, (2) effects while controlling for the other trait and (3) improvement in the RTV measures following rewards or a faster event rate. 1110 children aged 7–10 years from a population-based sample completed a Go/No-Go task under three conditions (slow, fast and incentives). We measured RTV with standard deviation of RT (SDRT), ex-Gaussian distribution measures (Sigma and Tau), RT fluctuations in cycles of ~14–90 s in all conditions (Slow-4 and Slow-5), and RT fluctuations in cycles of 2–14 s in the fast condition (Slow-2 and Slow-3). Parent-rated ADHD and ASD traits were obtained. All refined RTV components were linked to ADHD traits only and not to ASD traits, while Sigma did not relate to either trait. Although both ADHD and ASD social-communication traits were associated with SDRT, the association with social-communication impairments disappeared when controlling for ADHD traits. A reward-induced improvement in RTV measures, indicating malleability, emerged in relation to ADHD traits but not ASD traits. Under closer inspection, specificity emerges of high RTV to ADHD traits. For the clinician, our findings indicate that attentional fluctuation in children with high ASD traits may be due to co-occurring ADHD traits and emphasise how the effectiveness of rewards does not generalise from ADHD to ASD traits. Electronic supplementary material The online version of this article (10.1007/s10802-018-0457-z) contains supplementary material, which is available to authorized users.
... However, often only the relations to ADHD have remained significant when controlling for the overlap between these two symptom domains [e.g., 61,80]. Similar results have been reported in relation to symptoms of autism spectrum disorders [81,82]. With regard to emotion dysregulation, it has been suggested that this is primarily related to comorbid conduct problems [see review by 21]. ...
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This study aimed to examine relations between parent and child attachment representations and neuropsychological functions at age 8, as well as relations between these constructs and ADHD symptoms over a 10-year period. A community-based sample of 105 children (52 boys) participated. Measures of attachment representations and a range of neuropsychological functions were collected at age 8. Parents rated emotion dysregulation and ADHD symptoms at age 8 and ADHD symptoms again at age 18. Significant, although modest, relations were found between disorganized attachment and some aspects of neuropsychological functioning in childhood. When studying outcomes in late adolescence and controlling for early ADHD symptom levels, spatial working memory and disorganized attachment remained significant in relation to both ADHD symptom domains, and one measure of inhibition remained significant for hyperactivity/impulsivity. When examining independent effects, spatial working memory and disorganized attachment were related to inattention, whereas spatial working memory and dysregulation of happiness/exuberance were related to hyperactivity/impulsivity. Our findings showing that disorganized attachment is longitudinally related to ADHD symptoms over and above the influence of both neuropsychological functioning and early ADHD symptom levels highlights the importance of including measures of attachment representations when trying to understand the development of ADHD symptoms. If replicated in more “at-risk” samples, these findings could also suggest that parent–child attachment should be taken into consideration when children are referred for assessment and treatment of ADHD.
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Behavior rating scales are a primary method for screening and identifying children with attention deficit hyperactivity disorder (ADHD). The factorial structure and normative data of a teacher rating scale containing the 18 symptoms of ADHD were examined in this study. Factor analyses and assessment of differences in ADHD ratings across sex, age, and ethnic group were conducted with 4, 009 children and adolescents who attended kindergarten through 12th grade in 31 U.S. school districts. Two factors (inattention and hyperactivity–impulsivity) were derived, and normative data for a nationally representative sample were presented. Boys, younger children, and African Americans received higher ratings of ADHD symptoms. Limitations of this investigation and potential uses of this scale in clinical practice and research are discussed.
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Endophenotypes or intermediate phenotypes are of great interest in neuropsychiatric genetics because of their potential for facilitating gene discovery. We evaluated response inhibition, latency and variability measures derived from the stop task as endophenotypes of ADHD by testing whether they were related to ADHD traits in the general population, heritable and shared genetic risk with ADHD traits. Participants were 16,099 children and adolescents, ages 6 to 18 years who visited a local science center. We measured ADHD traits using the Strengths and Weaknesses of ADHD-symptoms and Normal-Behavior (SWAN) rating scale and performance on the stop signal task (SST)—response inhibition (SSRT), response latency (GoRT), and response variability (GoRTSD). Regression analysis was used to assess the relationship of cognitive measures and ADHD traits while controlling for family, age, sex, ethnicity, socioeconomic status and treatment status. Heritability of ADHD and cognitive traits was estimated using SOLAR in 7,483 siblings from 3,507 families that included multiple siblings. Bivariate relationships between pairs of variables were examined. Individuals with greater ADHD trait scores had worse response inhibition, slower response latency, and greater variability. Younger participants and girls had inferior performance although the gender effects were minimal and evident in youngest participants. Inhibition, latency, variability, total ADHD traits, inattention and hyperactivity-impulsivity scores were significantly heritable. ADHD traits and inhibition, but not latency or variability were coheritable. In the largest study in the general population, we found support for the validity of response inhibition as an endophenotype of ADHD. Electronic supplementary material The online version of this article (doi:10.1007/s10802-012-9693-9) contains supplementary material, which is available to authorized users.
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Background Attention deficit hyperactivity disorder (ADHD) symptoms and autistic traits often occur together. The pattern and etiology of co-occurrence are largely unknown, particularly in adults. This study investigated the co-occurrence between both traits in detail, and subsequently examined the etiology of the co-occurrence, using two independent adult population samples. Method Data on ADHD traits (Inattention and Hyperactivity/Impulsivity) were collected in a population sample (S1, n = 559) of unrelated individuals. Data on Attention Problems (AP) were collected in a population-based family sample of twins and siblings (S2, n = 560). In both samples five dimensions of autistic traits were assessed (social skills, routine, attentional switching, imagination, patterns). Results Hyperactive traits (S1) did not correlate substantially with the autistic trait dimensions. For Inattention (S1) and AP (S2), the correlations with the autistic trait dimensions were low, apart from a prominent correlation with the attentional switching scale (0.47 and 0.32 respectively). Analyses in the genetically informative S2 revealed that this association could be explained by a shared genetic factor. Conclusions Our findings suggest that the co-occurrence of ADHD traits and autistic traits in adults is not determined by problems with hyperactivity, social skills, imagination or routine preferences. Instead, the association between those traits is due primarily to shared attention-related problems (inattention and attentional switching capacity). As the etiology of this association is purely genetic, biological pathways involving attentional control could be a promising focus of future studies aimed at unraveling the genetic causes of these disorders.
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Background Intraindividual variability in reaction time (RT) has received extensive discussion as an indicator of cognitive performance, a putative intermediate phenotype of many clinical disorders, and a possible trans-diagnostic phenotype that may elucidate shared risk factors for mechanisms of psychiatric illnesses. Scope and MethodologyUsing the examples of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorders (ASD), we discuss RT variability. We first present a new meta-analysis of RT variability in ASD with and without comorbid ADHD. We then discuss potential mechanisms that may account for RT variability and statistical models that disentangle the cognitive processes affecting RTs. We then report a second meta-analysis comparing ADHD and non-ADHD children on diffusion model parameters. We consider how findings inform the search for neural correlates of RT variability. FindingsResults suggest that RT variability is increased in ASD only when children with comorbid ADHD are included in the sample. Furthermore, RT variability in ADHD is explained by moderate to large increases (d = 0.63–0.99) in the ex-Gaussian parameter τ and the diffusion parameter drift rate, as well as by smaller differences (d = 0.32) in the diffusion parameter of nondecision time. The former may suggest problems in state regulation or arousal and difficulty detecting signal from noise, whereas the latter may reflect contributions from deficits in motor organization or output. The neuroimaging literature converges with this multicomponent interpretation and also highlights the role of top-down control circuits. Conclusion We underscore the importance of considering the interactions between top-down control, state regulation (e.g. arousal), and motor preparation when interpreting RT variability and conclude that decomposition of the RT signal provides superior interpretive power and suggests mechanisms convergent with those implicated using other cognitive paradigms. We conclude with specific recommendations for the field for next steps in the study of RT variability in neurodevelopmental disorders.
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Working memory is a temporary storage system under attentional control. It is believed to play a central role in online processing of complex cognitive information and may also play a role in social cognition and interpersonal interactions. Adolescents with a disorder on the autism spectrum display problems in precisely these domains. Social impairments, communication difficulties, and repetitive interests and activities are core domains of autism spectrum disorders (ASD), and executive function problems are often seen throughout the spectrum. As the main cognitive theories of ASD, including the theory of mind deficit hypotheses, weak central coherence account, and the executive dysfunction theory, still fail to explain the broad spectrum of symptoms, a new perspective on the etiology of ASD is needed. Deficits in working memory are central to many theories of psychopathology, and are generally linked to frontal-lobe dysfunction. This article will review neuropsychological and (functional) brain imaging studies on working memory in adolescents with ASD. Although still disputed, it is concluded that within the working memory system specific problems of spatial working memory are often seen in adolescents with ASD. These problems increase when information is more complex and greater demands on working memory are made. Neuroimaging studies indicate a more global working memory processing or connectivity deficiency, rather than a focused deficit in the prefrontal cortex. More research is needed to relate these working memory difficulties and neuroimaging results in ASD to the behavioral difficulties as seen in individuals with a disorder on the autism spectrum.