Overlapping and Distinct Cognitive Impairments in Attention-Deficit/Hyperactivity and Autism Spectrum Disorder without Intellectual Disability
Open accessAbstract
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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Response inhibition and response variability may be more strongly associated with ADHD than with ASD traits.
“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
The Results (Executive Functioning; page unavailable) report that response-inhibition impairment in children with ASD remained after controlling for ADHD symptoms, with no reliable difference from children with ADHD. The Results (Reaction time parameters; page unavailable) likewise report elevated response variability in both groups after symptom controls. The paper therefore does not find these impairments more strongly associated with ADHD than with ASD. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredWorking memory impairments remain notable among youth with ASD when ADHD symptoms are controlled and among individuals without co-occurring ADHD.
“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]
There may be more than one sole cause of any given phenotype, and such causes may be shared and distinct both between and within the disorders.
“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
A set of potentially shared mechanisms across ADHD and ASD instantiate atypical executive functioning (EF).
“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
The deficits in working memory and processing speed also persisted when compared to an ADHD sample.
“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
Variability in the relationship between EF and ASD has been demonstrated, but whether this is due to comorbid ASD+ADHD remains unclear.
“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
The current study builds on recent studies that have employed transdiagnostic approaches.
“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
Impairments across ASD and ADHD are not entirely attributable to comorbid diagnoses.
“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
Those with ASD have shown differences in neuroimaging studies when compared to TD and ADHD groups.
“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-citationIntegrating Impairments in Reaction Time and Executive Function Using a Diffusion Model Framework
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“…impairments appear to be primarily driven by slow drift rates (i.e., slow, inefficient information processing) and to a lesser extent fast non-decision times, but are unrelated to differences in boundary separation (HuangPollock et al. 2012; Karalunas et al. 2014; Karalunas and Huang-Pollock 2013).”
Self-citationShared familial transmission of autism spectrum and attention‐deficit/hyperactivity disorders
Musser, E. D., Hawkey, E., Kachan‐Liu, S. S., Lees, P., Roullet, J., Goddard, K., Steiner, R. D., & Nigg, J. T. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12201 · Cited by 97 · cited 1× · see citing works
“…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…”
Self-citationSinzig, J., Bruning, N., Morsch, D., & Lehmkuhl, G. (2008) · Acta Neuropsychiatrica · doi:10.1111/j.1601-5215.2008.00292.x · Cited by 76 · cited 1× · see citing works
“…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).”
Timing of the Diagnosis of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder
(2015) · PEDIATRICS · doi:10.1542/peds.2015-1502d · Cited by 64 · see citing works
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 61 · cited 2× · see citing works
“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).”
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× · see citing works
“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-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 48 · cited 1× · see citing works
“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-citationMiller, M. R., Loya, F., & Hinshaw, S. P. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12074 · Cited by 46 · cited 1× · see citing works
“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-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 45 · cited 3× · see citing works
“…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 36 · cited 5× · see citing works
“…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 35 · cited 1× · see citing works
“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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- Bishop DVM 2003 The Children's Communication Checklist, Second Edition (CCC-2) London The Psychological Corporation
- Conners CK 2008 The Conners 3rd Edition (Conners 3) North Tonawanda, NJ Multi-Health System
- Constantino JN Gruber CP 2012 The social responsiveness scale, Second Edition (SRS-2) Los Angeles, CA Western Psychological Services
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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 · see citing works
Self-citationAntshel, K. M., & Russo, N. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1020-5 · Cited by 450 · see citing works
Ostlund, B. D., Alperin, B. R., Drew, T. W., & Karalunas, S. L. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100931 · Cited by 159 · see citing works
“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., Young, G., Olson, B. F., Steiner, R., & Nigg, J. (2018) · JAMA pediatrics · doi:10.1001/jamapediatrics.2018.4076 · Cited by 157 · see citing works
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 115 · see citing works
“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).”
Neurodevelopmental heterogeneity and computational approaches for understanding autism
Jacob, S., Wolff, J. J., Steinbach, M. S., Doyle, C. B., Kumar, V., & Elison, J. T. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0390-0 · Cited by 101 · see citing works
Gin, L. E., Guerrero, F. A., Brownell, S. E., & Cooper, K. M. (2021) · CBE—Life Sciences Education · doi:10.1187/cbe.21-02-0028 · Cited by 106 · see citing works
“This was not unexpected, given the overlapping nature of how disabilities may affect individuals (Merikangas et al. , 2007; Karalunas et al. , 2018).”
BackgroundMichelini, G., Carlisi, C. O., Eaton, N. R., Elison, J. T., Haltigan, J. D., Kotov, R., Krueger, R. F., Latzman, R. D., Li, J. J., Levin-Aspenson, H. F., et al. (2024) · World Psychiatry · doi:10.1002/wps.21225 · Cited by 99 · see citing works
“…directly comparing children with ASD and ADHD showed similarities during early development in attention, response inhibition, working memory, verbal fluency, preparatory processes, and concept formation, with some differences more likely to be quantitative rather than qualitative 145,191,192 .”
Karalunas, S. L., & Nigg, J. T. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.11.002 · Cited by 84 · see citing works
“It is also possible that standard cognitive performance metrics are too multi-factorially determined and use of computational parameters that distinguish different aspects of information processing would yield more informative profiles (47, 48).”
BackgroundSelf-citationZhao, Y., Yang, L., Gong, G., Cao, Q., & Liu, J. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110477 · Cited by 85 · see citing works
Toward a revised nosology for attention-deficit/hyperactivity disorder heterogeneity
Nigg, J. T., Karalunas, S. L., Feczko, E., & Fair, D. A. (2020) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.02.005 · Cited by 132 · see citing works
Self-citationTownes, P., Liu, C., Panesar, P., Devoe, D., Lee, S. Y., Taylor, G., Arnold, P. D., Crosbie, J., & Schachar, R. (2023) · Journal of Attention Disorders · doi:10.1177/10870547231190494 · Cited by 75 · see citing works
“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).”
BackgroundYokokura, M., Takebasashi, K., Takao, A., Nakaizumi, K., Yoshikawa, E., Futatsubashi, M., Suzuki, K., Nakamura, K., Yamasue, H., & Ouchi, Y. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0784-7 · Cited by 66 · see citing works
Cordova, M., Shada, K., Demeter, D. V., Doyle, O., Miranda-Dominguez, O., Perrone, A., Schifsky, E., Graham, A., Fombonne, E., Langhorst, B., et al. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102245 · Cited by 54 · see citing works
“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).”
InfluentialSelf-citationYerys, B. E., Bertollo, J. R., Kenworthy, L. E., Dawson, G., Marco, E. J., Schultz, R. T., & Sikich, L. (2018) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-018-3856-7 · Cited by 57 · see citing works
Hedge, C., Vivian-Griffiths, S., Powell, G., Bompas, A., & Sumner, P. (2019) · Consciousness and Cognition · doi:10.1016/j.concog.2019.102797 · Cited by 56 · see citing works
Comparing directed functional connectivity between groups with confirmatory subgrouping GIMME
Henry, T. R., Feczko, E., Cordova, M., Earl, E., Williams, S., Nigg, J. T., Fair, D. A., & Gates, K. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.040 · Cited by 45 · see citing works
“, 2010), although the ASD effects may be attributable to comorbid ADHD (Karalunas et al., 2018).”
Self-citationNeural Substrates of the Drift-Diffusion Model in Brain Disorders
Gupta, A., Bansal, R., Alashwal, H., Kaçar, A. Ş., Balcı, F., & Moustafa, A. A. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.678232 · Cited by 45 · see citing works
“In this study, accuracy and RT remained unchanged in ASD and controls while the decision thresholds were significantly higher (Karalunas et al., 2018; Iuculano et al., 2020).”
Zapparrata, N. M., Brooks, P. J., & Ober, T. M. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05736-3 · Cited by 44 · see citing works
“In both the Karalunas et al. (2018) and Powell et al. (2019) studies, ASD groups did not differ from age-matched neuro-typical groups on non-decision parameters, which suggests that motor skills did not contribute directly to group differences.”
ResultNejati, V., Rasanan, A. H. H., Rad, J. A., Alavi, M. M., Haghi, S., & Nitsche, M. A. (2021) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2021.11.005 · Cited by 45 · see citing works
Executive function deficits in attention-deficit/hyperactivity disorder and autism spectrum disorder
Kofler, M. J., Soto, E. F., Singh, L. J., Harmon, S. L., Jaisle, E. M., Smith, J. N., Feeney, K. E., & Musser, E. D. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00350-9 · Cited by 51 · see citing works
“Youths with either ADHD or ASD demonstrated impaired performance on tests intended to measure inhibitory control compared to neurotypically developing peers 49,65,66,68 .”
InfluentialMárquez-Caraveo, M. E., Rodríguez‐Valentín, R., Pérez-Barrón, V., Vázquez‐Salas, R. A., Sánchez‐Ferrer, J. C., de Castro, F., Allen‐Leigh, B., & Lazcano-Ponce, E. C. (2021) · Scientific Reports · doi:10.1038/s41598-021-97551-6 · Cited by 42 · see citing works
Hedley, D., Uljarević, M., Cai, R. Y., Bury, S. M., Stokes, M. A., & Evans, D. W. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245562 · Cited by 40 · see citing works
Kourtesis, P., & MacPherson, S. E. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100151 · Cited by 45 · see citing works
Emotion regulation and executive function: Associations with depression and anxiety in autism
Conner, C. M., Elias, R., Smith, I. C., & White, S. W. (2023) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2023.102103 · Cited by 43 · see citing works
Boxhoorn, S., Bast, N., Supèr, H., Polzer, L., Cholemkery, H., & Freitag, C. (2019) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/jcpp.13179 · Cited by 27 · see citing works
“Nevertheless, to further examine how the LC-NE system modulates attention and task performance future studies should examine other, and more sensitive measures of (disorder-specific) response execution in addition to RT (Karalunas et al., 2018).”
BackgroundCeruti, C., Mingozzi, A., Scionti, N., & Marzocchi, G. M. (2024) · Children · doi:10.3390/children11040473 · Cited by 35 · see citing works
Williams, Z. J., Failla, M. D., Davis, S., Heflin, B. H., Okitondo, C. D., Moore, D., & Cascio, C. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-49103-2 · Cited by 32 · see citing works
Non-decision time: The Higgs Boson of decision.
Bompas, A., Sumner, P., & Hedge, C. (2024) · Psychological Review · doi:10.1037/rev0000487 · Cited by 45 · see citing works
“…less systematic changes in RT, such as attention-de fi cit/hyperactivity disorder, also show less consistent changes in NDT, some reporting a decrease (see Karalunas et al., 2014, for instance), an increase (Merkt et al., 2013) or no changes (e.g., Fosco et al., 2017; Karalunas et al., 2018).”
Karalunas, S., Antovich, D., Goh, P. K., Martel, M. M., Tipsord, J., Nousen, E. K., & Nigg, J. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000900 · Cited by 25 · see citing works
“In addition, the cognitive weaknesses observed in ADHD are commonly associated with multiple forms of psychopathology (Bloemen et al., 2018; Karalunas et al., 2018; Martel et al., 2017; White et al., 2017), yet it is not clear how strongly these impairments are correlated with disorders when ADHD is also controlled (N…”
BackgroundSelf-citationExamining reaction time variability on the stop-signal task in the ABCD study
Epstein, J. N., Karalunas, S. L., Tamm, L., Dudley, J. A., Lynch, J. D., Altaye, M., Simon, J. O., Maloney, T., & Atluri, G. (2022) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617722000431 · Cited by 28 · see citing works
“Overall, there is continued interest in cognitive performance measures and particularly computational performance parameters as potential transdiagnostic risk markers for psychopathology (Ferrante et al., 2019; Karalunas et al., 2018; Wiecki et al., 2015).”
Self-citationSchachar, R. J., Dupuis, A., Arnold, P. D., Anagnostou, E., Kelley, E., Georgiades, S., Nicolson, R., Townes, P., Burton, C. L., & Crosbie, J. (2023) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-022-00958-6 · Cited by 30 · see citing works
“Only five studies reported performance on the stop-signal task (SST), a widely used measure of response inhibition (Albajara Sáenz et al., 2020; Karalunas et al., 2018; Kuijper et al., 2015, 2017; Van Hulst et al., 2018).”
BackgroundResultInfluentialSocial and delay discounting in autism spectrum disorder
Warnell, K. R., Maniscalco, S., Baker, S. M., Yi, R., & Redcay, E. (2019) · Autism Research · doi:10.1002/aur.2085 · Cited by 30 · see citing works
“…evidence for greater discounting of future rewards in ASD (e.g., Carlisi et al., 2017; Chantiluke et al., 2014; Murphy et al., 2017), but others have found no group differences (e.g., Antrop et al., 2006; Demurie et al., 2012; Karalunas et al., 2018 & Kouklari, Tsermentseli, & Monks, in press).”
BackgroundMa, S. L., Chen, L. H., Lee, C., Lai, K. Y. C., Hung, S., Tang, C.-P., Ho, T., Shea, C. K., Mo, F. Y. M., Mak, T. S. H., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.649588 · Cited by 29 · see citing works
“…Working Group of The Psychiatric Genomics Consortium, 2017; Grove et al., 2019), despite the fairly well-replicated association of SHANK genes with ASD in previous association and animal studies, cited above (Peça et al., 2011; Won et al., 2012; Leblond et al., 2014; Connolly et al., 2017).”
ResultZhang, M., Huang, Y., Jiao, J., Yuan, D., Hu, X., Yang, P., Zhang, R., Wen, L., Situ, M., Cai, J., et al. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-03734-4 · Cited by 29 · see citing works
“Previous studies have found a set of shared cognitive dysfunctions across ADHD and ASD, such as executive function (EF) and motor function [17].”
BackgroundASD and ADHD: Divergent activating patterns of prefrontal cortex in executive function tasks?
Li, Y., Ma, S., Zhang, X., & Gao, L. H. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.02.012 · Cited by 26 · see citing works
Mansour, R., Ward, A. R., Lane, D. M., Loveland, K. A., Aman, M. G., Jerger, S. W., Schachar, R. J., & Pearson, D. A. (2021) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2021.103882 · Cited by 25 · see citing works
“Indeed, a recent study with a large sample using empirical methods to define diagnostic “classes” concluded some cognitive impairment was shared across both disorders while other cognitive deficits appeared to be unique to each diagnostic class (Karalunas et al. 2018).”
BackgroundManning, C., Hassall, C. D., Hunt, L. T., Norcia, A. M., Wagenmakers, E., Evans, N. J., & Scerif, G. (2022) · Scientific Reports · doi:10.1038/s41598-022-09885-4 · Cited by 25 · see citing works
“This result is in line with previous studies showing that individuals with ADHD had lower drift-rates than control participants in a range of tasks 44,64,109–111 .”
BackgroundMethodResultInfluentialSchachar, R. J. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105461 · Cited by 27 · see citing works
Cremone‐Caira, A., Trier, K. A., Sanchez, V., Kohn, B. H., Gilbert, R. K., & Faja, S. (2020) · Autism · doi:10.1177/1362361320955107 · Cited by 23 · see citing works
“…and motivational inhibition would be more impaired among children with singular (ADHD group) and comorbid diagnosis of ADHD (ASD + ADHD), relative to TD children and children with a singular diagnosis of ASD (Bühler et al., 2011; Karalunas et al., 2018; Sonuga-Barke, 2002; Tye et al., 2014).”
BackgroundResultInfluentialPoly‐victimization of autistic adults: An investigation of individual‐level correlates
Gibbs, V., Hudson, J. L., & Pellicano, E. (2023) · Autism Research · doi:10.1002/aur.3031 · Cited by 25 · see citing works
“…in social, psychological and cognitive profiles found among autistic people and those with ADHD (Baribeau et al., 2015; de Boer & Pijl, 2016; Karalunas et al., 2018) and the association between ADHD features (inattention, impulsiveness and hyperactivity) and autistic traits (Panagiotidi et…”
BackgroundHuang, Z., Wang, F., Xue, L.-L., Zhu, H., & Zou, X. (2024) · Brain Sciences · doi:10.3390/brainsci14060566 · Cited by 25 · see citing works
“Children presenting with both symptoms exhibit more EF deficits than those with a single diagnosis [31–33].”
BackgroundFace processing in autism spectrum disorder re-evaluated through diffusion models.
Powell, G., Jones, C. R. G., Hedge, C., Charman, T., Happe, F. G. E., Simonoff, E. A., & Sumner, P. (2019) · Neuropsychology · doi:10.1037/neu0000524 · Cited by 22 · see citing works
“…autistic individuals may also show increased intra-participant variability (Geurts et al., 2008; Karalunas et al., 2014) and a recent study that found lower drift-rates in autistic children (Karalunas et al., 2018), we anticipated that drift-rates may also be reduced in our autistic participants.”
InfluentialJiang, X., Liu, L., Ji, H., & Zhu, Y. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00506 · Cited by 23 · see citing works
“Along with a significant development on neuroscience, the principles given underlie many indirect evidences for elaboration of etiology and pathogenesis of ADHD (Roohi-Azizi et al., 2017; Karalunas et al., 2018; Van Doren et al., 2018).”
BackgroundSelf-reported impulsivity does not predict response caution
Hedge, C., Powell, G., Bompas, A., & Sumner, P. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110257 · Cited by 22 · see citing works
Childhood Metabolic Biomarkers Are Associated with Performance on Cognitive Tasks in Young Children
Shapiro, A. L. B., Wilkening, G. N., Aalborg, J., Ringham, B. M., Glueck, D. H., Tregellas, J. R., & Dabelea, D. (2019) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2019.03.043 · Cited by 22 · see citing works
“Delay or impairment of cognitive flexibility and inhibitory control processes are found in developmental disorders such as attention-deficit/ hyperactivity disorder [26, 27] and autism spectrum disorder [27, 28].”
BackgroundDeserno, M. K., Bathelt, J., Groenman, A. P., & Geurts, H. M. (2023) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-022-01986-9 · Cited by 22 · see citing works
“For detailed description of this sample, see Karalunas et al. [44].”
BackgroundPolygenic risk for ADHD and ASD and their relation with cognitive measures in school children
Aguilar-Lacasaña, S., Vilor‐Tejedor, N., Jansen, P. R., López-Vicente, M., Bustamante, M., Burgaleta, M., Sunyer, J., & Alemany, S. (2020) · Psychological Medicine · doi:10.1017/s0033291720003189 · Cited by 21 · see citing works
“IP address: 207.241.231.83, on 07 Nov 2020 at 04:33:23, subject to the Cambridge Core terms of use, available at (Boxhoorn et al., 2018; Karalunas et al., 2018; Velikonja, Fett, & Velthorst, 2019; Willcutt, Sonuga-Barke, Nigg, & Sergeant, 2008).”
BackgroundInfluentialPatterns of objectively measured motor activity among infants developing ASD and concerns for ADHD
Reetzke, R., Iosif, A., Hatch, B., de la Paz, L., Chuang, A., Ozonoff, S. J., & Miller, M. R. (2021) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13504 · Cited by 21 · see citing works
Self-citationAutism and associated disorders: cannabis as a potential therapy
Babayeva, M., Assefa, H., Basu, P., & Loewy, Z. G. (2022) · Frontiers in Bioscience-Elite · doi:10.31083/j.fbe1401001 · Cited by 21 · see citing works
“Attention-deficit hyperactivity disorder (ADHD) and ASD are frequently comorbid, have similar genetics and cognitive deficits [182,183].”
BackgroundSolomon, M., Gordon, A., Iosif, A., Geddert, R., Krug, M. K., Mundy, P., & Hessl, D. (2021) · Autism Research · doi:10.1002/aur.2399 · Cited by 20 · see citing works
Openneer, T. J. C., Forde, N. J., Akkermans, S. E. A., Naaijen, J., Buitelaar, J. K., Hoekstra, P. J., & Dietrich, A. (2019) · Cortex · doi:10.1016/j.cortex.2019.11.007 · Cited by 20 · see citing works
Helfer, B., Boxhoorn, S., Songa, J., Steel, C., Maltezos, S., & Asherson, P. J. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.12.059 · Cited by 19 · see citing works
Morè, L., Lauterborn, J. C., Papaleo, F., & Brambilla, R. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.003 · Cited by 19 · see citing works
Leader, G., Dooley, E., Whelan, S., Gilroy, S. P., Chen, J. L., Barton, A. F., Coyne, R., & Mannion, A. (2021) · Developmental Neurorehabilitation · doi:10.1080/17518423.2021.1964005 · Cited by 18 · see citing works
“These co-occurring disorders can include sleep problems,(5) gastrointestinal (GI) symptoms,(6) toileting problems,(7) epilepsy,(8) behavior problems,(9,10) mood disorders,(11) fears and phobias,(12) anxiety disorders,(13) and Attention-Deficit/Hyperactivity Disorder (AD/HD).(14) Among co-occurring challenges, individu…”
BackgroundAl‐Saoud, S., Nichols, E. S., Brossard‐Racine, M., Wild, C. J., Norton, L. E., & Duerden, E. G. (2024) · Child Neuropsychology · doi:10.1080/09297049.2024.2364957 · Cited by 15 · see citing works
“…and attention (Follmer, 2018; Holmes et al., 2021; Landerl & Kölle, 2009; Peng & Fuchs, 2016; Peng et al., 2018; Yeniad et al., 2013), leading many children to experience significant challenges at school (Booth & Happé, 2010; Corbett et al., 2009; Karalunas et al., 2018; Rosello et al., 2022).”
Ging-Jehli, N. R., Arnold, L. E., Roley‐Roberts, M. E., & DeBeus, R. J. (2021) · Journal of Attention Disorders · doi:10.1177/10870547211020087 · Cited by 13 · see citing works
“…ADHD across a range of tasks such as those presumed to measure sustained attention (e.g., Baytunca et al., 2018; Huang-Pollock et al., 2012, 2020; Karalunas et al., 2018; Weigard et al., 2020), inhibitory control (e.g., Baytunca et al., 2018; Epstein et al., 2011; Fosco et al., 2018;…”
BackgroundDoi, H., Kanai, C., & Ohta, H. (2022) · Autism Research · doi:10.1002/aur.2712 · Cited by 14 · see citing works
Hennessy, A., Nichols, E. S., Al‐Saoud, S., Brossard‐Racine, M., & Duerden, E. G. (2024) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045241228889 · Cited by 16 · see citing works
“As such, there may be signi fi cant overlap in cognitive patterns between the diagnostic groups (Corbett et al., 2009; Karalunas et al., 2018).”
BackgroundHosozawa, M., Mandy, W., Cable, N., & Flouri, E. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04783-y · Cited by 14 · see citing works
AlBhaisi, I. N., Kumar, M. S. T. S., Engapuram, A., Shafiei, Z., Zakaria, A. S. I., Mohd-Said, S., & McGrath, C. P. J. (2022) · BMC Oral Health · doi:10.1186/s12903-022-02200-7 · Cited by 15 · see citing works
Talge, N. M., Adkins, M., Kileny, P. R., & Frownfelter, I. (2021) · Pediatric Research · doi:10.1038/s41390-021-01730-0 · Cited by 13 · see citing works
Miller, H. L., Thomi, M., Patterson, R. M., & Nandy, K. (2022) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05604-0 · Cited by 12 · see citing works
Mahajan, A., Anand, S., Kriti, Awinashe, V., Devanna, R., Alessa, N. A., & Babaji, P. (2023) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_259_23 · Cited by 12 · see citing works
“[1,2] There is a specific behavioral profile in children with autism.[3,4] Children suffering from autism spectrum disorders (ASD) often demonstrate prominent behavioral characteristics such as high aggressiveness, deficient attention, and unresponsiveness along with a few other associated medical problems that can hi…”
BackgroundReetzke, R., Singh, V., Hong, J. S., Holingue, C., Kalb, L. G., Ludwig, N. N., Menon, D. U., Pfeiffer, D. L., & Landa, R. J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.936392 · Cited by 16 · see citing works
“, 2019), and consistent with an extant and growing body of evidence suggesting that children with ASD plus high ADHD symptoms tend to present with generally lower developmental functioning (Karalunas et al., 2018; Antshel and Russo, 2019; Miller et al., 2020; Hong et al., 2021; Reetzke et al., 2021a).”
ResultLam, M., Chen, C., Hill, W. D., Xia, C., Tian, R., Levey, D. F., Gelernter, J. E., Stein, M. B., Hatoum, A. S., Huang, H., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34418-y · Cited by 11 · see citing works
“(5) eQTL annotations used in the TranscriptomeWide Analysis as part of the current study is available at https://github.”
MethodKang, J., Haslam, N., & Conway, M. (2025) · Journal of Medical Internet Research · doi:10.2196/70914 · Cited by 11 · see citing works
Zhong, Q., & Porter, M. A. (2024) · Review Journal of Autism and Developmental Disorders · doi:10.1007/s40489-024-00443-4 · Cited by 13 · see citing works
“…conditions, several studies have also reported some overlap in symptoms between ADHD and ASD, including difficulties with attention, behaviour, social communication, sensory sensitivity, and cognitive flexibility/rigidity (Karalunas et al., 2018; Nijmeijer et al., 2009; Ronald et al., 2014).”
Guttentag, S., Bishop, S. L., Doggett, R. A., Shalev, R. A., Kaplan, M., Dyson, M. W., Cohen, M. T., Lord, C., & Martino, A. D. (2021) · Autism · doi:10.1177/13623613211030071 · Cited by 10 · see citing works
“From a research perspective, accurate sample characterization is essential to understanding distinct and common mechanism(s) underlying ASD and/or ADHD (e.g., Ameis et al., 2016; Aoki et al., 2017; Chantiluke et al., 2014; Chien et al., 2017; Karalunas et al., 2018; Ronald et al., 2008; Satterstrom et al., 2019).”
BackgroundResultInfluentialPeled, J., Cassuto, H., & Berger, I. (2019) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2019.1686063 · Cited by 10 · see citing works
“It is strongly suspected that the overlapping cognitive deficits in ASD and ADHD may further reveal shared etiology [11,15].”
BackgroundJertberg, R., Begeer, S., Geurts, H. M., Chakrabarti, B., & der Burg, E. V. (2025) · Autism Research · doi:10.1002/aur.70015 · Cited by 9 · see citing works
Suicide and Autism: A Lifespan Perspective
Hedley, D., Hayward, S. M., Clarke, A., Uljarević, M., & Stokes, M. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-98697-1_3 · Cited by 9 · see citing works
Prepotent response inhibition in autism: Not an inhibitory deficit?
Torenvliet, C., Groenman, A. P., Lever, A. G., Ridderinkhof, K. R., & Geurts, H. M. (2023) · Cortex · doi:10.1016/j.cortex.2023.05.013 · Cited by 9 · see citing works
“However, we observed that unique features of timing may indicate differences across neurodevelopmental conditions, extending previous findings in children with ADHD/autism (Karalunas et al., 2018; Raymaekers et al., 2007).”
BackgroundResultInfluentialStevanović, D., Wentz, E., Nasic, S., & Knez, R. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-03878-3 · Cited by 9 · see citing works
Kahathuduwa, C. N., West, B. D., & Mastergeorge, A. M. (2019) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04187-7 · Cited by 9 · see citing works
Nekar, D. M., Kang, H.-Y., Lee, J.-W., Oh, S.-Y., & Yu, J.-H. (2023) · Games for Health Journal · doi:10.1089/g4h.2023.0050 · Cited by 8 · see citing works
When 2 become 1: Autistic simultaneity judgements about asynchronous audiovisual speech
Poole, D., Gowen, E., Poliakoff, E., Lambrechts, A., & Jones, L. (2023) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218231197518 · Cited by 8 · see citing works
“To date, this has included the perception of orientation (Pirrone et al., 2017, 2020), motion (Manning et al., 2022), and faces (Powell et al., 2019), crossmodal selective attention (Poole et al., 2021), and inhibitory con-trol (Karalunas et al., 2018).”
BackgroundMoliadze, V., Brodski‐Guerniero, A., Schuetz, M., Siemann, J., Lyzhko, E., Schlitt, S., Kitzerow, J., Langer, A., Kaiser, J., Naumer, M. J., et al. (2020) · Brain Topography · doi:10.1007/s10548-020-00765-6 · Cited by 9 · see citing works
Edmunds, S. R., MacNaughton, G. A., Rueda, M. R., Cómbita, L. M., & Faja, S. (2022) · Autism Research · doi:10.1002/aur.2735 · Cited by 7 · see citing works
“Studies comparing EF profiles among children with ASD and ADHD directly have demonstrated that while both groups show EF impairment (Karalunas et al., 2018; Sinzig et al., 2008; Tye et al., 2014), those with ASD may display more profound and global EF deficits (Corbett et al., 2009; Verté et al.,…”
BackgroundPeterson, M., Whetten, C., Clark, A. M., & Nielsen, J. A. (2023) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-023-09477-x · Cited by 6 · see citing works
“For example, one comparison study was unable to identify a reliable difference in cognitive abilities between autistic individuals and individuals with ADHD on measures such as attention and arousal, response inhibition, working memory, interference control, and processing speed [21].”
ResultManning, C., Hassall, C. D., Hunt, L. T., Norcia, A. M., Wagenmakers, E., Evans, N. J., & Scerif, G. (2021) · doi:10.31234/osf.io/s5r3m · Cited by 8 · see citing works
Domenico, C. D., Alito, A., Leonardi, G., Pironti, E., Cara, M. D., Piccolo, A., Settimo, C., Quartarone, A., Gagliano, A., & Cucinotta, F. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14114000 · Cited by 10 · see citing works
“Indeed, ADHD and ASD are neurodevelopmental conditions that often coexist and share neurocognitive pathways [71,72].”
Poole, D., Grange, J. A., & Milne, E. (2024) · Journal of Cognition · doi:10.5334/joc.369 · Cited by 7 · see citing works
“Increased boundary separation in autistic participants has previously been observed (Karalunas et al, 2018; Pirrone et al, 2017; Pirrone et al, 2020; although see Poole, Miles, Gowen & Poliakoff, 2021; Manning et al, 2022), as has a slower and more deliberate decision-making style (Brosnan, Lewton…”
BackgroundA Mini Review: Visual and Auditory Perception in Dyslexia
Ali, S. A., Fadzil, N. A., Reza, F., Mustafar, F., & Begum, T. (2021) · IIUM Medical Journal Malaysia · doi:10.31436/imjm.v20i4.1616 · Cited by 7 · see citing works
Rappaport, B. I., Shankman, S. A., Glazer, J. E., Buchanan, S. N., Weinberg, A., & Letkiewicz, A. M. (2024) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-024-01222-8 · Cited by 5 · see citing works
“ASDandanxiousworryon the other hand may share unique differences in boundary separation (i.e., wider boundaries indicative of greater responses caution, Karalunas et al., 2018; White et al., 2010a).”
Molecular architecture of the altered cortical complexity in autism
Mamat, M., Chen, Y., Shen, W., & Li, L. (2025) · Molecular Autism · doi:10.1186/s13229-024-00632-2 · Cited by 6 · see citing works
“Previous studies have demonstrated that individuals with ASD often exhibit difficulties in shifting attention and managing distractions, which are linked to abnormalities in the ventral attention network [60, 61].”
Development and Differentiation of Executive Function Structure
Yangüez, M., Bediou, B., Bavelier, D., & Chanal, J. P. (2025) · Journal of Cognition and Development · doi:10.1080/15248372.2025.2547621 · Cited by 7 · see citing works
“Thus, our results show that age-related improvements in RT-based tasks occur above and beyond potential confounds related with speed-accuracy tradeoffs, confirming previous findings (Karalunas et al., 2012, 2018).”
Profiles of School Refusal Among Neurodivergent Youth
Granieri, J. E., Morton, H. E., Romanczyk, R. G., & Mattson, J. G. (2023) · European Education · doi:10.1080/10564934.2023.2251013 · Cited by 9 · see citing works
Augmented Reality Based Learning Environment for Children with Special Needs
Shaltout, E. H., Afifi, A., & Amin, K. M. (2020) · International Conference on Computer Engineering & Systems (ICCES) · doi:10.1109/icces51560.2020.9334571 · Cited by 6 · see citing works
“Questions that concern confidence and safety of the application are for the Dependability scale, such as items 5, 16, 18, 21.”
BackgroundTornblad, M. K., Jones, K. S., & Inan, F. A. (2019) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181319631423 · Cited by 6 · see citing works
“Individuals on the autism spectrum can also range from very high to very low functioning in many aspects of cognition, such as arousal, attention, and memory (Karalunas et al., 2018).”
BackgroundAutistic traits relate to speed/accuracy trade-off but not statistical learning and updating
Hann, F., Pesthy, O., Brezóczki, B., Vékony, T., Nagy, C. A., Sapey‐Triomphe, L., Tóth-Fáber, E., Farkas, B. C., Farkas, K., & Németh, D. (2025) · Scientific Reports · doi:10.1038/s41598-025-16138-7 · Cited by 5 · see citing works
Boxhoorn, S., Schütz, M., Mühlherr, A. M., Mössinger, H., Luckhardt, C., & Freitag, C. M. (2022) · Scientific Reports · doi:10.1038/s41598-022-25971-z · Cited by 4 · see citing works
Foundations of Neuropsychology: Collaborative Care in Neurosurgery
Cornwell, M. A., Kohn, A., Spat‐Lemus, J., Bender, H. A., Koay, J. M., McLean, E. A., Mandelbaum, S., Wing, H. M., & Sacks-Zimmerman, A. L. (2023) · World Neurosurgery · doi:10.1016/j.wneu.2022.09.106 · Cited by 5 · see citing works
Albores‐Gallo, L., Lopez, J. J. E., Torres-Suarez, G., Ruiz, B. C., Bravo, M. A. S., Guillen, L. G. T., Vargas-Rizo, T. L., Hernandez, E. S., Villarreal-Valdes, G., Miranda, F. R., et al. (2019) · Neuropsychiatry · doi:10.4172/neuropsychiatry.1000550 · Cited by 5 · see citing works
“The overlap between ASD and ADHD symptoms [47] makes discriminant validity of the instrument important since up to 60% of children with ADHD show symptoms of Autism [48] and the comorbidity of both disorders is between 2-78% [49].”
BackgroundCid-Duarte, S., Departamento de Psicología, U. D. O. (., Areces, D., Departamento de Psicología, U. D. O. (., Núñez, J. C., & Departamento de Psicología, U. D. O. (. (2022) · Revista de Psicología y Educación - Journal of Psychology and Education · doi:10.23923/rpye2023.01.232 · Cited by 6 · see citing works
Wang, Y., Lv, R.-J., Jiang, Z.-Y., Liu, Y.-T., Zhang, J.-L., Zhao, Z., Liu, Y., Zheng, Y., Liu, B., Clauw, D., et al. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03542-2 · Cited by 7 · see citing works
“…differences, they show signi fi cant symptom overlap, with comorbidity rates (30 – 80% of ASD children exhibit ADHD symptoms, and 30 – 65% of ADHD children present ASD symptoms) far exceeding random probability, suggesting potential associations in underlying pathological mechanisms [137, 138].”
Kouki, E., Tsagkaraki, A., Spanoudis, G. C., & Papadopoulos, T. C. (2025) · Applied Cognitive Psychology · doi:10.1002/acp.70078 · Cited by 4 · see citing works
Manning, C. (2024) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218241264627 · Cited by 4 · see citing works
“We also note that previous studies have reported differences in diffusion modelling parameters in autistic participants (Iuculano et al., 2020; Karalunas et al., 2018; Kirchner et al., 2012; Pirrone et al., 2017, 2020), and this discrepancy could be due to choice of task, task instructions about…”
ResultSingh, L. J., Floyd, R. G., Reynolds, M. R., Pike, N. M., & Huenergarde, M. C. (2025) · Child Neuropsychology · doi:10.1080/09297049.2024.2357376 · Cited by 3 · see citing works
“…rather than subtle neuropsychological deficits often characteristic of children with neurodevelopmental disorders such as attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD; Karalunas et al., 2018; Kofler et al., 2020; Kofler et al., in press; Snyder et al., 2015).”
Related Disorders (Intellectual, Attention, and Language Disorders) and ASD
Dieckhaus, M. F. S., Thomas, R. P., Frisch, M., Moreno, M. P., Suh, J., & FEIN, D. A. (2024) · Autism and child psychopathology series · doi:10.1007/978-3-031-64499-3_4 · Cited by 3 · see citing works
- 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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