Task‐related default mode network modulation and inhibitory control in ADHD: effects of motivation and methylphenidate
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BACKGROUND: Deficits characteristic of attention deficit/hyperactivity disorder (ADHD), including poor attention and inhibitory control, are at least partially alleviated by factors that increase engagement of attention, suggesting a hypodopaminergic reward deficit. Lapses of attention are associated with attenuated deactivation of the default mode network (DMN), a distributed brain system normally deactivated during tasks requiring attention to the external world. Task-related DMN deactivation has been shown to be attenuated in ADHD relative to controls. We hypothesised that motivational incentives to balance speed against restraint would increase task engagement during an inhibitory control task, enhancing DMN deactivation in ADHD. We also hypothesised that methylphenidate, an indirect dopamine agonist, would tend to normalise abnormal patterns of DMN deactivation. METHOD: We obtained functional magnetic resonance images from 18 methylphenidate-responsive children with ADHD (DSM-IV combined subtype) and 18 pairwise-matched typically developing children aged 9-15 years while they performed a paced Go/No-go task. We manipulated motivational incentive to balance response speed against inhibitory control, and tested children with ADHD both on and off methylphenidate. RESULTS: When children with ADHD were off-methylphenidate and task incentive was low, event-related DMN deactivation was significantly attenuated compared to controls, but the two groups did not differ under high motivational incentives. The modulation of DMN deactivation by incentive in the children with ADHD, off-methylphenidate, was statistically significant, and significantly greater than in typically developing children. When children with ADHD were on-methylphenidate, motivational modulation of event-related DMN deactivation was abolished, and no attenuation relative to their typically developing peers was apparent in either motivational condition. CONCLUSIONS: During an inhibitory control task, children with ADHD exhibit a raised motivational threshold at which task-relevant stimuli become sufficiently salient to deactivate the DMN. Treatment with methylphenidate normalises this threshold, rendering their pattern of task-related DMN deactivation indistinguishable from that of typically developing children.
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Performance-based incentives and optimal task pace help to offset impaired arousal regulation in ADHD.
“suggest that these factors help to offset impaired arousal regulation in ADHD.”
From Is autonomic nervous system function atypical in Attention Deficit Hyperactivity Disorder (ADHD)? A systematic review of the evidence (2020) · cites this paper as Liddle et al., 2011
The Conclusion (page unavailable) says task-related motivational incentives can normalize attenuated default mode network deactivation in children with ADHD, supporting the incentive part. The Methods > Task describes a paced task with dynamically adjusted response deadlines, but the paper does not show that an optimal task pace offsets impaired arousal regulation; it examines inhibitory control and network deactivation rather than measuring arousal regulation. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThis indicates that impaired arousal regulation in ADHD may be malleable by motivational incentives.
“This indicates that impaired arousal regulation in ADHD may be malleable by motivational incentives, consistent with previous evidence showing the effects of motivational incentives on electrophysiological (Groom et al., 2010(Groom et al., , 2013) ) and fMRI correlates (Liddle et al., 2011) in ADHD.”
From Is autonomic nervous system function atypical in Attention Deficit Hyperactivity Disorder (ADHD)? A systematic review of the evidence (2020) · cites this paper as Liddle et al., 2011
Pharmacological interventions that improve ADHD symptoms normalize activity within the default mode network.
“Further, pharmacological interventions that improve ADHD symptoms normalize activity within this network (Liddle et al., 2011; Peterson et al., 2009).”
From Mindfulness Meditation Training for Attention-Deficit/Hyperactivity Disorder in Adulthood: Current Empirical Support, Treatment Overview, and Future Directions (2015) · cites this paper as Liddle et al., 2011
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Cites
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553 · see citing works
Psychometric properties of the strengths and difficulties questionnaire
GOODMAN, R. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200111000-00015 · Cited by 6,813 · see citing works
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997 · see citing works
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792 · see citing works
Goodman, R., Ford, T., Richards, H., Gatward, R., & Meltzer, H. (2000) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2000.tb02345.x · Cited by 1,755 · see citing works
Functional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530 · see citing works
A Parametric Manipulation of Factors Affecting Task-induced Deactivation in Functional Neuroimaging
McKiernan, K. A., Kaufman, J. N., Kucera-Thompson, J., & Binder, J. R. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321593117 · Cited by 1,080 · see citing works
Sonuga-Barke, E. J. S., & Castellanos, F. X. (2007) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.02.005 · Cited by 890 · see citing works
Castellanos, F. X., Margulies, D. S., Kelly, C., Uddin, L. Q., Ghaffari, M., Kirsch, A., Shaw, D., Shehzad, Z., Di Martino, A., Biswal, B., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.025 · Cited by 854 · see citing works
Greicius, M. D., & Menon, V. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042568532 · Cited by 684 · see citing works
The cognitive-energetic model: an empirical approach to attention-deficit hyperactivity disorder
Sergeant, J. (2000) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(99)00060-3 · Cited by 645 · see citing works
Gao, W., Zhu, H., Giovanello, K. S., Smith, J. K., Shen, D., Gilmore, J. H., & Lin, W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811221106 · Cited by 601 · see citing works
Barkley, R. A. (1997) · Psychological Bulletin · doi:10.1037//0033-2909.121.1.65 · Cited by 580 · see citing works
The impact of reinforcement contingencies on AD/HD: A review and theoretical appraisal
Luman, M., Oosterlaan, J., & Sergeant, J. A. (2005) · Clinical Psychology Review · doi:10.1016/j.cpr.2004.11.001 · Cited by 541 · see citing works
Network homogeneity reveals decreased integrity of default-mode network in ADHD
Uddin, L. Q., Kelly, A. M. C., Biswal, B. B., Margulies, D. S., Shehzad, Z., Shaw, D., Ghaffari, M., Rotrosen, J., Adler, L. A., Castellanos, F. X., et al. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.11.031 · Cited by 452 · see citing works
Interrupting the “stream of consciousness”: An fMRI investigation
McKiernan, K. A., D'Angelo, B. R., Kaufman, J. N., & Binder, J. R. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.030 · Cited by 443 · see citing works
A lack of default network suppression is linked to increased distractibility in ADHD
Fassbender, C., Zhang, H., Buzy, W. M., Cortes, C. R., Mizuiri, D., Beckett, L., & Schweitzer, J. B. (2009) · Brain Research · doi:10.1016/j.brainres.2009.02.070 · Cited by 316 · see citing works
Singh, K. D., & Fawcett, I. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.051 · Cited by 312 · see citing works
Volkow, N. D., Wang, G.-J., Fowler, J. S., Telang, F., Maynard, L., Logan, J., Gatley, S. J., Pappas, N., Wong, C., Vaska, P., et al. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.7.1173 · Cited by 281 · see citing works
Peterson, B. S., Potenza, M. N., Wang, Z., Zhu, H., Martin, A., Marsh, R., Plessen, K. J., & Yu, S. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.08050724 · Cited by 261 · see citing works
Johansen, E. B., Aase, H., Meyer, A., & Sagvolden, T. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00434-x · Cited by 195 · see citing works
Greater activation of the “default” brain regions predicts stop signal errors
Li, C. R., Yan, P., Bergquist, K. L., & Sinha, R. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.021 · Cited by 194 · see citing works
Motivational Effects on Inhibitory Control in Children With ADHD
SLUSAREK, M., VELLING, S., BUNK, D., & EGGERS, C. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200103000-00016 · Cited by 184 · see citing works
Interrater and intermethod reliability of default mode network selection
Franco, A. R., Pritchard, A., Calhoun, V. D., & Mayer, A. R. (2009) · Human Brain Mapping · doi:10.1002/hbm.20668 · Cited by 138 · see citing works
Motor control and state regulation in children with ADHD: a cardiac response study
Börger, N., & van der Meere, J. (2000) · Biological Psychology · doi:10.1016/s0301-0511(99)00040-x · Cited by 128 · see citing works
Neuropsychological functioning in stimulant-naive boys with hyperkinetic disorder
RHODES, S. M., COGHILL, D. R., & MATTHEWS, K. (2005) · Psychological Medicine · doi:10.1017/s0033291705004599 · Cited by 126 · see citing works
Methylphenidate Decreased the Amount of Glucose Needed by the Brain to Perform a Cognitive Task
Volkow, N. D., Fowler, J. S., Wang, G.-J., Telang, F., Logan, J., Wong, C., Ma, J., Pradhan, K., Benveniste, H., & Swanson, J. M. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002017 · Cited by 117 · see citing works
Speed-accuracy modulation in case of conflict: the roles of activation and inhibition
Band, G. P. H., Ridderinkhof, K. R., & van der Molen, M. W. (2003) · Psychological Research · doi:10.1007/s00426-002-0127-0 · Cited by 101 · see citing works
Effects of Methylphenidate on Reward Strength in Boys with Attention-Deficit Hyperactivity Disorder
WILKISON, P. C., Kircher, J. C., McMahon, W. M., & Sloane, H. N. (1995) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199507000-00013 · Cited by 55 · see citing works
Looking before you leap: A theory of motivated control of action
Liddle, E. B., Scerif, G., Hollis, C. P., Batty, M. J., Groom, M. J., Mario Liotti, A., & Liddle, P. F. (2009) · Cognition · doi:10.1016/j.cognition.2009.03.006 · Cited by 40 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- Caron MG Wightman RM To learn, you must pay attention Molecular insights into teachers' wisdom. Proceedings of the National Academy of Sciences of the United States of America 2009 106 18 7267 7268 19416916 PMC2678641
- Fransson P How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations Neuropsychologia 2006 44 14 2836 2845 16879844
- Sagvolden T Sergeant JA Attention deficit/hyperactivity disorder - from brain dysfunctions to behaviour Behavioural Brain Research 1998 94 1 1 10 9708834
Cited by
Sorted by citations
The role of the posterior cingulate cortex in cognition and disease
Leech, R., & Sharp, D. J. (2014) · Brain · doi:10.1093/brain/awt162 · Cited by 2,247 · see citing works
Andrews‐Hanna, J. R., Smallwood, J., & Spreng, R. N. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12360 · Cited by 2,102 · see citing works
Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies
Cortese, S., Kelly, C., Chabernaud, C., Proal, E., Di Martino, A., Milham, M. P., & Castellanos, F. X. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.11101521 · Cited by 1,067 · see citing works
Large-scale brain systems in ADHD: beyond the prefrontal–striatal model
Castellanos, F. X., & Proal, E. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.007 · Cited by 831 · see citing works
Response inhibition and psychopathology: A meta-analysis of go/no-go task performance
Wright, L., Lipszyc, J., Dupuis, A., Thayapararajah, S. W., & Schachar, R. (2014) · Journal of Abnormal Psychology · doi:10.1037/a0036295 · Cited by 360 · see citing works
Pharmacologic Treatment of Attention Deficit–Hyperactivity Disorder
Cortese, S. (2020) · New England Journal of Medicine · doi:10.1056/nejmra1917069 · Cited by 342 · see citing works
Rubia, K., Alegria, A. A., Cubillo, A. I., Smith, A. B., Brammer, M. J., & Radua, J. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.10.016 · Cited by 315 · see citing works
“, more activation during the go condition) (Figure S4 in Supplement 1), which was also observed in the ROI analysis (23) and other studies (19,20,74).”
Karalunas, S. L., Geurts, H. M., Konrad, K., Bender, S., & Nigg, J. T. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12217 · Cited by 278 · see citing works
Lukito, S., Norman, L., Carlisi, C., Radua, J., Hart, H., Simonoff, E., & Rubia, K. (2020) · Psychological Medicine · doi:10.1017/s0033291720000574 · Cited by 248 · see citing works
Hemington, K. S., Wu, Q., Kucyi, A., Inman, R. D., & Davis, K. D. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1161-1 · Cited by 220 · see citing works
Mind wandering perspective on attention-deficit/hyperactivity disorder
Bozhilova, N. S., Michelini, G., Kuntsi, J., & Asherson, P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.07.010 · Cited by 182 · see citing works
Bellato, A., Arora, I., Hollis, C., & Groom, M. J. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.11.001 · Cited by 172 · see citing works
Self-citationA review of attention-deficit/hyperactivity disorder from the perspective of brain networks
De La Fuente, A., Xia, S., Branch, C., & Li, X. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00192 · Cited by 159 · see citing works
Mowlem, F. D., Skirrow, C., Reid, P., Maltezos, S., Nijjar, S. K., Merwood, A., Barker, E., Cooper, R., Kuntsi, J., & Asherson, P. (2019) · Journal of Attention Disorders · doi:10.1177/1087054716651927 · Cited by 156 · see citing works
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 · see citing works
Sonuga-Barke, E. J. S., & Fairchild, G. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.04.004 · Cited by 124 · see citing works
Rubia, K., Criaud, M., Wulff, M., Alegria, A., Brinson, H., Barker, G., Stahl, D., & Giampietro, V. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.055 · Cited by 111 · see citing works
Mitchell, J. T., Zylowska, L., & Kollins, S. H. (2015) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2014.10.002 · Cited by 109 · see citing works
Computer-based Cognitive Training for ADHD
Sonuga-Barke, E., Brandeis, D., Holtmann, M., & Cortese, S. (2014) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2014.05.009 · Cited by 92 · see citing works
Functional MRI reveals different response inhibition between adults and children with ADHD
Lei, D., Du, M., Wu, M., Chen, T., Huang, X., Du, X., Bi, F., Kemp, G. J., & Gong, Q. (2015) · Neuropsychology · doi:10.1037/neu0000200 · Cited by 91 · see citing works
Quasi-periodic patterns contribute to functional connectivity in the brain
Abbas, A., Belloy, M., Kashyap, A., Billings, J., Nezafati, M., Schumacher, E. H., & Keilholz, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.076 · Cited by 81 · see citing works
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Sonuga‐Barke, E. J. S., & Taylor, E. (2015) · Rutter's Child and Adolescent Psychiatry · doi:10.1002/9781118381953.ch55 · Cited by 62 · see citing works
Groom, M. J., Liddle, E. B., Scerif, G., Liddle, P. F., Batty, M. J., Liotti, M., & Hollis, C. P. (2013) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12069 · Cited by 48 · see citing works
Self-citationFunctional imaging changes in the medial prefrontal cortex in adult ADHD
Salavert, J., Ramos-Quiroga, J. A., Moreno-Alcázar, A., Caseras, X., Palomar, G., Radua, J., Bosch, R., Salvador, R., McKenna, P. J., Casas, M., et al. (2018) · Journal of Attention Disorders · doi:10.1177/1087054715611492 · Cited by 39 · see citing works
Pujol, N., Penadés, R., Rametti, G., Catalán, R., Vidal-Piñeiro, D., Palacios, E., Bargallo, N., Bernardo, M., & Junqué, C. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.06.008 · Cited by 21 · see citing works
- Authors
- Liddle, E. B., Hollis, C., Batty, M. J., Groom, M. J., Totman, J. J., Liotti, M., Scerif, G., & Liddle, P. F.
- Affiliations
- University of Nottingham (GB)
- King's College London (GB)
- University of Oxford (GB)
- ORCID
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2010-11-12
- Volume
- 52
- Issue
- 7
- Pages
- 761-771
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- PMC
- PMC4754961
- OpenAlex
- W2112249501
- Cited by
- 281
- References
- 32
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 12 · 2023: 11 · 2022: 22 · 2021: 22 · 2020: 26 · 2019: 15 · 2018: 15 · 2017: 13 · 2016: 29 · 2015: 20 · 2014: 31 · 2013: 20 · 2012: 17
- FWCI
- 10.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Child Psychology and Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- Nottingham ePrints (University of Nottingham) (submittedVersion, cc-by)
- Repository@Nottingham (University of Nottingham) (submittedVersion, other-oa)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- Wellcome Trust (076448)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- attention deficit hyperactivity disorder, default mode network, inhibitory control, methylphenidate, motivation, reward processing, dopamine, go/no-go task, children, task engagement
- MeSH terms
- Adolescent, Central Nervous System Stimulants, Attention, Attention Deficit Disorder with Hyperactivity, Brain, Child, Evoked Potentials, Female, Humans, Inhibition, Psychological, Magnetic Resonance Imaging, Male, Methylphenidate, Motivation, Pattern Recognition, Visual, Psychomotor Performance, Reaction Time, Token Economy, Matched-Pair Analysis, Video Games
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