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Disorder-specific functional abnormalities during temporal discounting in youth with Attention Deficit Hyperactivity Disorder (ADHD), Autism and comorbid ADHD and Autism
Open accessAbstract
Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are often comorbid and share cognitive abnormalities in temporal foresight. A key question is whether shared cognitive phenotypes are based on common or different underlying pathophysiologies and whether comorbid patients have additive neurofunctional deficits, resemble one of the disorders or have a different pathophysiology. We compared age- and IQ-matched boys with non-comorbid ADHD (18), non-comorbid ASD (15), comorbid ADHD and ASD (13) and healthy controls (18) using functional magnetic resonance imaging (fMRI) during a temporal discounting task. Only the ASD and the comorbid groups discounted delayed rewards more steeply. The fMRI data showed both shared and disorder-specific abnormalities in the three groups relative to controls in their brain-behaviour associations. The comorbid group showed both unique and more severe brain-discounting associations than controls and the non-comorbid patient groups in temporal discounting areas of ventromedial and lateral prefrontal cortex, ventral striatum and anterior cingulate, suggesting that comorbidity is neither an endophenocopy of the two pure disorders nor an additive pathology.
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“Reduced activation and abnormal brain-behavior correlations during temporal discounting have been observed in ADHD children and adults most prominently in typical areas of temporal discounting including ventrolateral and dorsolateral prefrontal cortices, insular, dorsal and ventral striatal and thalamic regions as well as parietal lobe and cerebellum (Rubia et al., 2009a; Chantiluke et al., 2014;”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Chantiluke et al., 2014
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In the citing paper
“The comorbid ADHD and ASD group had the most neurofunctional abnormalities in regions mediating temporal discounting, including ventrolateral and dorsolateral prefrontal, cingulate, striato-insular, temporal and cerebellar regions (Chantiluke et al., 2014).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Chantiluke et al., 2014
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In the citing paper
“and mostly shared between ADHD and ASD in inferior frontal cortex and SMA (Chantiluke et al., 2014).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Chantiluke et al., 2014
In the citing paper
“These studies demonstrated that children with ASD and comorbid ADHD exhibit functional brain network abnormalities that resemble alterations in children with ASD (without ADHD) and ADHD (without ASD) plus unique abnormalities specific to comorbidity between ASD and ADHD (Di Martino et al., 2013; Chantiluke et al., 2014).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Chantiluke et al., 2014
In the citing paper
“Further, only two prior functional neuroimaging studies considered the impact of comorbidity on diagnostic group differences by examining an ASD with comorbid ADHD group distinct from non-comorbid ASD and ADHD groups (Di Martino et al., 2013; Chantiluke et al., 2014).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Chantiluke et al., 2014
In the citing paper
“These disorders exhibit shared deficits in executive function (Leno et al., 2017) and associated functional brain alterations (Di Martino et al., 2013; Chantiluke et al., 2014)”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Chantiluke et al., 2014
In the citing paper
“Importantly, Chantiluke et al. (2014) showed that children with “pure” ASD and ADHD exhibited little to no disorder-specific functional alterations during a temporal discounting task, whereas the comorbid group exhibited pronounced functional differences compared with all other groups (Chantiluke et al., 2014).”
From Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders (2019) · cites this paper as Chantiluke et al., 2014
In the citing paper
“A few studies 23–25 reveal that those with ASD have altered performance on delayed reward discounting tasks.”
From Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm (2018) · cites this paper as [25]
In the citing paper
“Inhibitory problems seem to be shared by the group with ASD+ADHD and the group with ADHD (Bühler et al., 2011;Chantiluke et al., 2014;Sinzig et al., 2008b;Tye et al., 2014), although sometimes no inhibitory deficits have been found in the comorbid group (Sinzig et al., 2008a;Van der Meer et al., 2012;Yerys et al., 2009).”
From Children with autism and attention deficit hyperactivity disorder. Relationships between symptoms and executive function, theory of mind, and behavioral problems (2018) · cites this paper as Chantiluke et al., 2014
In the citing paper
“The findings are framed within the line of research that shows greater impairment in the executive functioning of children with ASD+ADHD and ADHD alone, compared to children with ASD (Adamo et al., 2014;Bühler et al., 2011;Chantiluke et al., 2014;Lundervold et al., 2016;Sinzig et al., 2008b;Tye et al., 2014).”
From Children with autism and attention deficit hyperactivity disorder. Relationships between symptoms and executive function, theory of mind, and behavioral problems (2018) · cites this paper as Chantiluke et al., 2014
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Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520
Wechsler Abbreviated Scale of Intelligence
Dumont, R., Willis, J. O., Veizel, K., & Zibulsky, J. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese2519 · Cited by 5,546
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (1999) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,681
Simonoff, E., Pickles, A., Charman, T., Chandler, S., Loucas, T., & Baird, G. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318179964f · Cited by 3,399
Conners, C. K., Sitarenios, G., Parker, J. D. A., & Epstein, J. N. (1998) · Journal of Abnormal Child Psychology · doi:10.1023/a:1022602400621 · Cited by 1,772
Executive dysfunction in autism☆
Hill, E. L. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.11.003 · Cited by 1,468
Goodman, R., & Scott, S. (1999) · Journal of Abnormal Child Psychology · doi:10.1023/a:1022658222914 · Cited by 1,420
Dorsal anterior cingulate cortex: A role in reward-based decision making
Bush, G., Vogt, B. A., Holmes, J., Dale, A. M., Greve, D., Jenike, M. A., & Rosen, B. R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012470999 · Cited by 1,096
Bullmore, E. T., Suckling, J., Overmeyer, S., Rabe-Hesketh, S., Taylor, E., & Brammer, M. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.750253 · Cited by 1,088
Self-citationDELAY OR PROBABILITY DISCOUNTING IN A MODEL OF IMPULSIVE BEHAVIOR: EFFECT OF ALCOHOL
Richards, J. B., Zhang, L., Mitchell, S. H., & de Wit, H. (1999) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1999.71-121 · Cited by 813
Hart, H., Radua, J., Nakao, T., Mataix-Cols, D., & Rubia, K. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.277 · Cited by 764
Self-citationGeurts, H. M., Verté, S., Oosterlaan, J., Roeyers, H., & Sergeant, J. A. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00276.x · Cited by 705
The neural mechanisms of inter-temporal decision-making: understanding variability
Peters, J., & Büchel, C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.03.002 · Cited by 693
Martino, A. D., Ross, K. V., Uddin, L. Q., Sklar, A. B., Castellanos, F. X., & Milham, M. P. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.09.022 · Cited by 597
Nakao, T., Radua, J., Rubia, K., & Mataix-Cols, D. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11020281 · Cited by 588
Self-citationAnalysis of a large fMRI cohort: statistical and methodological issues for group analyses
Thirion, B., Pinel, P., Mériaux, S., Roche, A., Dehaene, S., & Poline, J.-B. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.054 · Cited by 563
Cubillo, A., Halari, R., Smith, A., Taylor, E., & Rubia, K. (2012) · Cortex · doi:10.1016/j.cortex.2011.04.007 · Cited by 520
Self-citationGeneric brain activation mapping in functional magnetic resonance imaging: A nonparametric approach
Brammer, M. J., Bullmore, E. T., Simmons, A., Williams, S., Grasby, P. M., Howard, R. J., Woodruff, P. W. R., & Rabe‐Hesketh, S. (1997) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(97)00135-5 · Cited by 470
Self-citationDelay discounting: Trait variable?
Odum, A. L. (2011) · Behavioural Processes · doi:10.1016/j.beproc.2011.02.007 · Cited by 449
TEMPORAL DISCOUNTING: BASIC RESEARCH AND THE ANALYSIS OF SOCIALLY IMPORTANT BEHAVIOR
Critchfield, T. S., & Kollins, S. H. (2001) · Journal of Applied Behavior Analysis · doi:10.1901/jaba.2001.34-101 · Cited by 439
Rommelse, N. N. J., Geurts, H. M., Franke, B., Buitelaar, J. K., & Hartman, C. A. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.02.015 · Cited by 429
Plichta, M. M., & Scheres, A. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.012 · Cited by 424
A systematic review and meta-analysis of the fMRI investigation of autism spectrum disorders
Philip, R. C. M., Dauvermann, M. R., Whalley, H. C., Baynham, K., Lawrie, S. M., & Stanfield, A. C. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.10.008 · Cited by 422
Noreika, V., Falter, C. M., & Rubia, K. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.09.036 · Cited by 339
Self-citationNeural systems implicated in delayed and probabilistic reinforcement
Cardinal, R. N. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.03.004 · Cited by 330
Scheres, A., Dijkstra, M., Ainslie, E., Balkan, J., Reynolds, B., Sonuga-Barke, E., & Castellanos, F. X. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.10.012 · Cited by 327
Autism and ADHD: Overlapping and discriminating symptoms
Mayes, S. D., Calhoun, S. L., Mayes, R. D., & Molitoris, S. (2012) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2011.05.009 · Cited by 324
Rubia, K., Halari, R., Christakou, A., & Taylor, E. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0014 · Cited by 310
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Kim, S., & Lee, D. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.005 · Cited by 303
Shaw, P., Malek, M., Watson, B., Greenstein, D., de Rossi, P., & Sharp, W. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.007 · Cited by 303
van der Meer, J. M. J., Oerlemans, A. M., van Steijn, D. J., Lappenschaar, M. G. A., de Sonneville, L. M. J., Buitelaar, J. K., & Rommelse, N. N. J. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2012.08.024 · Cited by 303
Reward circuitry function in autism spectrum disorders
Dichter, G. S., Felder, J. N., Green, S. R., Rittenberg, A. M., Sasson, N. J., & Bodfish, J. W. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq095 · Cited by 296
MRC AIMS consortium, Christakou, A., Murphy, C. M., Chantiluke, K., Cubillo, A. I., Smith, A. B., Giampietro, V, Daly, E., Ecker, C., Robertson, D., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2011.185 · Cited by 293
Self-citationThe nature of brain dysfunction in autism: Functional brain imaging studies
Minshew, N. J., & Keller, T. A. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32833782d4 · Cited by 291
Plichta, M. M., Vasic, N., Wolf, R. C., Lesch, K.-P., Brummer, D., Jacob, C., Fallgatter, A. J., & Grön, G. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.07.008 · Cited by 272
Christakou, A., Brammer, M., & Rubia, K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.067 · Cited by 266
Self-citationWittmann, M., Leland, D. S., & Paulus, M. P. (2007) · Experimental Brain Research · doi:10.1007/s00221-006-0822-y · Cited by 266
Reward system dysfunction in autism spectrum disorders
Kohls, G., Schulte-Rüther, M., Nehrkorn, B., Müller, K., Fink, G. R., Kamp-Becker, I., Herpertz-Dahlmann, B., Schultz, R. T., & Konrad, K. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss033 · Cited by 259
Meta-analysis of fMRI studies of timing in attention-deficit hyperactivity disorder (ADHD)
Hart, H., Radua, J., Mataix-Cols, D., & Rubia, K. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.08.003 · Cited by 258
Self-citationScheres, A., Tontsch, C., Thoeny, A. L., & Kaczkurkin, A. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.10.033 · Cited by 167
Temporal reward discounting and ADHD: task and symptom specific effects
Scheres, A., Lee, A., & Sumiya, M. (2008) · Journal of Neural Transmission · doi:10.1007/s00702-007-0813-6 · Cited by 154
Imaging the ADHD brain: disorder-specificity, medication effects and clinical translation
Rubia, K., Alegria, A., & Brinson, H. (2014) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2014.907526 · Cited by 146
Self-citationDemurie, E., Roeyers, H., Baeyens, D., & Sonuga‐Barke, E. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01178.x · Cited by 111
Tye, C., Mercure, E., Ashwood, K. L., Azadi, B., Asherson, P. J., Johnson, M. H., Bolton, P., & McLoughlin, G. (2013) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.01.001 · Cited by 107
Atypical brain responses to reward cues in autism as revealed by event-related potentials
Kohls, G., Peltzer, J., Schulte-Rüther, M., Kamp-Becker, I., Remschmidt, H., Herpertz-Dahlmann, B., & Konrad, K. (2011) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-011-1177-1 · Cited by 101
The neuroscience of impulsive and self-controlled decisions
Kalenscher, T., Ohmann, T., & Güntürkün, O. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2006.05.010 · Cited by 88
Autistic spectrum disorder traits in children with attention deficit hyperactivity disorder
Kochhar, P., Batty, M. J., Liddle, E. B., Groom, M. J., Scerif, G., Liddle, P. F., & Hollis, C. P. (2010) · Child Care Health and Development · doi:10.1111/j.1365-2214.2010.01123.x · Cited by 69
Lemiere, J., Danckaerts, M., Van Hecke, W., Mehta, M. A., Peeters, R., Sunaert, S., & Sonuga-Barke, E. (2012) · Brain Research · doi:10.1016/j.brainres.2012.02.027 · Cited by 49
Temporal decision-making: insights from cognitive neuroscience
Luhmann, C. C. (2009) · Frontiers in Behavioral Neuroscience · doi:10.3389/neuro.08.039.2009 · Cited by 47
Liddle (2001) · doi:10.1002/1097-0193(200102)12:2
Self-citationChristakou, A., Murphy, C. M., Chantiluke, K., Cubillo, A. I., Smith, A. B., Giampietro, V., Daly, E., Ecker, C., Robertson, D., Murphy, D. G., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.41
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Murphy, C. M., Wilson, C., Robertson, D., Ecker, C., Daly, E., Hammond, N., Galanopoulos, A., Dud, I., Murphy, D., & McAlonan, G. M. (2016) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s65455 · Cited by 287
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Metadata
- Authors
- Chantiluke, K., Christakou, A., Murphy, C. M., Giampietro, V., Daly, E. M., Ecker, C., Brammer, M., Murphy, D. G., & Rubia, K.
- Affiliations
- King's College London (GB)
- University of Reading (GB)
- ORCID
- Venue
- Psychiatry Research: Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 223
- Issue
- 2
- Pages
- 113-120
- ISSN
- 0925-4927 (ISSN-L)
- OpenAlex
- W1995696366
- Cited by
- 116
- References
- 55
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 12 · 2023: 8 · 2022: 5 · 2021: 6 · 2020: 14 · 2019: 11 · 2018: 12 · 2017: 12 · 2016: 12 · 2015: 7 · 2014: 1
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Psychiatry Research Neuroimaging (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- CentAUR (University of Reading) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
- Funders
- Medical Research Council (MRC GO300155)
- MRC UK Autism Imaging Multicentre Study (G0400061)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- delay discounting, attention deficit hyperactivity disorder, autism spectrum disorder, delayed rewards, prefrontal cortex, ventral striatum, anterior cingulate cortex, brain-behavior relationship
- MeSH terms
- Adolescent, Attention Deficit Disorder with Hyperactivity, Autistic Disorder, Brain, Child, Child Development Disorders, Pervasive, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Reward, Comorbidity, Case-Control Studies, Prefrontal Cortex, Delay Discounting
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