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Overlapping and Distinct Cognitive Impairments in Attention-Deficit/Hyperactivity and Autism Spectrum Disorder without Intellectual Disability
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Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are commonly comorbid, share genetic liability, and often exhibit overlapping cognitive impairments. Clarification of shared and distinct cognitive effects while considering comorbid symptoms across disorders has been lacking. In the current study, children ages 7-15 years assigned to three diagnostic groups:ADHD (n = 509), ASD (n = 97), and controls (n = 301) completed measures spanning the cognitive domains of attention/arousal, working memory, set-shifting, inhibition, and response variability. Specific processes contributing to response variability were examined using a drift diffusion model, which separately quantified drift rate (i.e., efficiency of information processing), boundary separation (i.e., speed-accuracy trade-offs), and non-decision time. Children with ADHD and ASD were impaired on attention/arousal, processing speed, working memory, and response inhibition, but did not differ from controls on measures of delayed reward discounting, set-shifting, or interference control. Overall, impairments in the ASD group were not attributable to ADHD symptoms using either continuous symptom measures or latent categorical grouping approaches. Similarly, impairments in the ADHD group were not attributable to ASD symptoms. When specific RT parameters were considered, children with ADHD and ASD shared impairments in drift rate. However, children with ASD were uniquely characterized by a wider boundary separation. Findings suggest a combination of overlapping and unique patterns of cognitive impairment for children with ASD as compared to those with ADHD, particularly when the processes underlying reaction time measures are considered separately.
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“Studies in which ADHD and ASD traits were controlled indicate that, at least response inhibition and response variability, may be more strongly associated with ADHD than with ASD traits (Karalunas et al., 2018; Schachar et al., 2022).”
From Do ASD and ADHD Have Distinct Executive Function Deficits? A Systematic Review and Meta-Analysis of Direct Comparison Studies (2023) · cites this paper as Karalunas et al., 2018
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In the citing paper
“These results indicate that while ASD and ADHD share some etiological basis, there may be more than one sole “cause” of any given phenotype (Musser et al., 2014; Reiersen & Todd, 2008) and such causes may also be shared and distinct, both between and within the disorders (Karalunas et al., 2018; Rommelse et al., 2017; Vaidya et al., 2020).”
From Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD (2020) · cites this paper as Karalunas et al., 2018
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“Impairments on tests intended to measure working memory remain notable among youth with ASD when controlling for symptoms of ADHD65 and among individuals without co-occurring ADHD.66 67”
From Executive function deficits in attention-deficit/hyperactivity disorder and autism spectrum disorder (2024) · cites this paper as [66]
In the citing paper
“A set of potentially shared mechanisms across ADHD and ASD instantiate atypical executive functioning (EF) (Karalunas et al., 2018).”
From Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD (2020) · cites this paper as Karalunas et al., 2018
In the citing paper
“The deficits in working memory and processing speed also persisted when compared to an ADHD sample (Karalunas et al., 2018).”
From Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD (2020) · cites this paper as Karalunas et al., 2018
In the citing paper
“This variability in the relationship between EF and ASD has also been demonstrated, but whether this is due to comorbid ASD+ADHD remains unclear (Karalunas et al., 2018).”
From Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD (2020) · cites this paper as Karalunas et al., 2018
In the citing paper
“Indeed the current study builds on a handful of recent studies that have employed transdiagnostic approaches (Dajani et al., 2019; Karalunas et al., 2018; Lecei et al., 2019; Vaidya et al., 2020).”
From Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD (2020) · cites this paper as Karalunas et al., 2018
In the citing paper
“Such studies suggest that impairments across ASD and ADHD are not entirely attributable to comorbid diagnoses (Karalunas et al., 2018; Vaidya et al., 2020).”
From Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD (2020) · cites this paper as Karalunas et al., 2018
In the citing paper
“those with ASD have shown differences in neuroimaging studies when compared to TD and ADHD groups (Karalunas et al., 2018; Ray et al., 2014; Rommelse et al., 2017)”
From Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD (2020) · cites this paper as Karalunas et al., 2018
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Self-citationShared familial transmission of autism spectrum and attention‐deficit/hyperactivity disorders
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“…ASD share overlapping features (Ronald et al. 2014)often enough to warrant clinical recognition in the DSM-5, co-occur at rates well above chance (Musser et al. 2014; Rommelse et al. 2011), and have overlapping genetic correlates (Rommelse et al. 2010; Ronald et al. 2008), suggesting they may be…”
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“…difficulty with response inhibition and delayed reward discounting, whereas those with ASD may have more trouble with set-shifting and working memory (Corbett et al. 2009; Demurie et al. 2012; Gargaro et al. 2011; Happe et al. 2006; Hulst et al. 2017; Ozonoff and Jensen 1999; Sinzig et al. 2008).”
Understanding perceptual judgment in autism spectrum disorder using the drift diffusion model.
Pirrone, A., Dickinson, A. H., Gomez, R., Stafford, T., & Milne, E. (2016) · Neuropsychology · doi:10.1037/neu0000320 · Cited by 67 · cited 2×
“The only study to-date applying this model in ASD found that children with ASD have wider boundary separations and slower non-decisions times than typically-developing children, but no differences in drift rates (Pirrone et al. 2017).”
Timing of the Diagnosis of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder
(2015) · PEDIATRICS · doi:10.1542/peds.2015-1502d · Cited by 64
Nigg, J. T., Hinshaw, S. P., & Halperin, J. M. (1996) · Journal of Clinical Child Psychology · doi:10.1207/s15374424jccp2503_9 · Cited by 52 · cited 1×
“Attention/Arousal A computerized Identical Pairs CPT (CPT-IP), similar to the A-X CPT design used by Nigg et al. (1996) was used to assess attention/arousal.”
Self-citationMiller, M. R., Loya, F., & Hinshaw, S. P. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12074 · Cited by 51 · cited 1×
“Cognitive abilities develop rapidly over middle childhood and adolescence(Best and Miller 2010; Karalunas et al. 2017; Miller et al. 2013) and whether the ASD and ADHD groups show distinct trajectories of cognitive development is unable to be evaluated in this cross-sectional study.”
Self-citationComparing hyperbolic, delay-amount sensitivity and present-bias models of delay discounting
Mitchell, S. H., Wilson, V. B., & Karalunas, S. L. (2015) · Behavioural Processes · doi:10.1016/j.beproc.2015.03.006 · Cited by 50 · cited 1×
“Valuation of delayed rewards was quantified as the discounting gradient (k) because prior publication indicated this best differentiates ADHD and control performance (Mitchell et al. 2015).”
Self-citationvan Hulst, B. M., de Zeeuw, P., Bos, D. J., Rijks, Y., Neggers, S. F. W., & Durston, S. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12643 · Cited by 50 · cited 3×
“…2) interference control; 3) working memory (Baddeley 1996; De Luca et al. 2003; Engle 2002; Kane et al. 2007; Unsworth and Engle 2007), 4) set-shifting and 5) reward valuation, particularly delayed reward discounting (Demurie et al. 2012; Hulst et al. 2017; Mitchell 1999; Sagvolden et al. 1998).”
Yerys, B. E., Kenworthy, L. E., Jankowski, K. F., Strang, J. F., & Wallace, G. L. (2013) · Neuropsychology · doi:10.1037/a0033615 · Cited by 39 · cited 5×
“…using continuous symptom measures supports that impairments in response inhibition (Corbett et al. 2009; Yerys et al. 2013) and arousal (Corbett et al. 2009) in ASD may be driven by comorbid ADHD symptoms, whereas ASD symptoms may contribute unique variance to processing speed (Yerys et al. 2013).”
InfluentialHFA and ADHD: A direct comparison on state regulation and response inhibition
Raymaekers, R., Antrop, I., van der Meere, J. J., Wiersema, J. R., & Roeyers, H. (2006) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390600737990 · Cited by 36 · cited 1×
“However, other studies also suggest that individuals with ADHD and ASD perform similarly (Geurts et al. 2004; Raymaekers et al. 2007; Semrud-Clikeman et al. 2010).”
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Cited by
Sorted by citations
The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes
Feczko, E., Miranda-Dominguez, O., Marr, M., Graham, A. M., Nigg, J. T., & Fair, D. A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.03.009 · Cited by 443
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Ostlund, B. D., Alperin, B. R., Drew, T., & Karalunas, S. L. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100931 · Cited by 159
“Diffusion modeling has been previously used successfully in the analysis of go-trials of a stop task in adults (Verbruggen and Logan, 2009) and in our own work in both ADHD and autism spectrum disorders (Karalunas et al., 2018; Karalunas and Huang-Pollock, 2013; Karalunas et al., 2012a).”
MethodSelf-citationMiller, M. R., Musser, E. D., Young, G. S., Olson, B. F., Steiner, R. D., & Nigg, J. T. (2018) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2018.4076 · Cited by 112
Self-citationKourtesis, P., Collina, S., Doumas, L. A. A., & MacPherson, S. E. (2020) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617720000764 · Cited by 124
“Yet, the eventual aim is to use the VR-EAL to assess cognitive impairments in healthy aging and dementias (Anderson & Craik, 2017) or attention-deficit/hyperactivity disorder and autism (Karalunas et al., 2018).”
Metadata
- Authors
- Karalunas, S. L., Hawkey, E., Gustafsson, H., Miller, M., Langhorst, M., Cordova, M., Fair, D., & Nigg, J. T.
- Affiliations
- Oregon Health & Science University (US)
- University of California, Davis (US)
- Corresponding author
- Karalunas, Sarah L.
- ORCID
- Venue
- Journal of Abnormal Child Psychology
- Published
- 2018-02-15
- Volume
- 46
- Issue
- 8
- Pages
- 1705-1716
- ISSN
- 0091-0627 (ISSN-L)
- 1573-2835
- PMC
- PMC6093794
- OpenAlex
- W2788653795
- Cited by
- 148
- References
- 64
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 23 · 2023: 17 · 2022: 20 · 2021: 26 · 2020: 13 · 2019: 19 · 2018: 5
- FWCI
- 12.31
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Research on Child and Adolescent Psychopathology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (R01 MH096773, R00 MH091238, R01 MH086654, R37 MH059105 13, K23 MH108656)
- Simons Foundation (177894)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Developmental and Educational Neuropsychology
- Keywords
- attention deficit hyperactivity disorder, autism spectrum disorder, comorbidities, cognitive impairment, response variability, drift-diffusion model, drift rate, boundary separation, non-decision time, processing speed, working memory, response inhibition, reaction time
- MeSH terms
- Autism Spectrum Disorder, Adolescent, Attention Deficit Disorder with Hyperactivity, Child, Female, Humans, Male, Reaction Time, Executive Function, Cognitive Dysfunction
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