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A lack of default network suppression is linked to increased distractibility in ADHD
Open accessAbstract
Heightened distractibility in participants with ADHD as indexed by increased reaction time (RT) variability has been hypothesized to be due to a failure to sufficiently suppress activation in the default attention network during cognitively demanding situations. The present study utilized fMRI to examine the relationship between intra-individual variability (IIV) in task RT and suppression of BOLD response in regions of the default network, using a working memory paradigm and two levels of control tasks. IIV was calculated separately for thirteen healthy control and twelve children with ADHD, Combined Type. Children with ADHD displayed significantly more RT variability than controls. Neural measures showed that although both groups displayed a pattern of increasing deactivation of the medial prefrontal cortex (PFC) with increasing task difficulty, the ADHD group was significantly less deactive than controls. Correlations between IIV and brain activation suggested that greater variability was associated with a failure to deactivate ventromedial PFC with increasing task difficulty. T-tests on brain activation between participants with ADHD with low versus high IIV implicated a similar region so that high variability was associated with greater activity in this region. These data provide support for the theory that increased distractibility in at least some participants with ADHD may be due to an inability to sufficiently suppress activity in the default attention network in response to increasing task difficulty.
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“Thus, in parametric fMRI task designs, ADHD children and adults, unlike controls, do not progressively deactivate anterior (ventromedial prefrontal cortex, vmPFC) and/or posterior default mode regions (PPC) with increasing WM or attention load, respectively (Fassbender et al., 2009; Christakou et al., 2013; Salavert et al., 2015).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Fassbender et al., 2009
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“These findings of enhanced activation of DMN regions confirm recent evidence that poor deactivation of the DMN during cognitive tasks is a typical feature of ADHD and may contribute to poor task performance and enhanced distractibility (Fassbender et al., 2009; Christakou et al., 2013; Salavert et al., 2015).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Fassbender et al., 2009
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“and problems to deactivate the DMN during cognitive functions have been associated with more attention lapses, both in normal development and in ADHD (Broyd et al., 2009; Fassbender et al., 2009; Christakou et al., 2013).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Fassbender et al., 2009
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“These impairments often manifest as increased distractibility or elevated levels of mind-wandering,212,228–231 as well as hyperactivity of the DN and weaker anticorrelations with networks involved in external attention.146–148,229,232–235”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [233]
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“Children with ADHD have also been shown to be less able to deactivate the DMN than controls, and this inability to deactivate the DMN has been directly related to RTV [77].”
From Reaction Time Variability in ADHD: A Review (2012) · cites this paper as [77]
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Citations
Cites
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
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
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
Attention Deficit Hyperactivity Disorder: A Handbook for Diagnosis and Treatment
Barkley, R. A., & Poillion, M. J. (1994) · Behavioral Disorders · doi:10.1177/019874299401900205 · Cited by 4,635
Searching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371
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
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
Development and neurophysiology of mentalizing
Frith, U., & Frith, C. D. (2003) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1218 · Cited by 2,306
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890
Flagged first, then by citations
Research works printed but not linked: 1
- Schweitzer, J.B., Fassbender, C., Cortes, C.R., Tagamets, M.A., Windsor, A., Reeves, G., Carter, C.S., and Gullapalli, R. under review. Working memory processing in attention deficit hyperactivity disorder is characterized by a lack of specialization of brain function.
Cited by
Sorted by citations
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
Default Mode Network Activity and Connectivity in Psychopathology
Whitfield-Gabrieli, S., & Ford, J. M. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143049 · Cited by 1,465
Mind-wandering as spontaneous thought: a dynamic framework
Christoff, K., Irving, Z. C., Fox, K. C. R., Spreng, R. N., & Andrews-Hanna, J. R. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.113 · Cited by 1,376
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
Salience network integrity predicts default mode network function after traumatic brain injury
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113455109 · Cited by 606
Resting state functional connectivity in addiction: Lessons learned and a road ahead
Sutherland, M. T., McHugh, M. J., Pariyadath, V., & Stein, E. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.117 · Cited by 509
Fair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463
Self-citationKasper, L. J., Alderson, R. M., & Hudec, K. L. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.07.001 · Cited by 414
Rubia, K. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00100 · Cited by 384
“…and the DMN, develop functionally progressively with age (Sato et al., 2014) and problems to deactivate the DMN during cognitive functions have been associated with more attention lapses, both in normal development and in ADHD (Broyd et al., 2009; Fassbender et al., 2009; Christakou et al., 2013).”
BackgroundBrain default-mode network dysfunction in addiction
Zhang, R., & Volkow, N. D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.06.036 · Cited by 386
Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder
Fair, D. A., Posner, J., Nagel, B. J., Bathula, D., Dias, T. G. C., Mills, K. L., Blythe, M. S., Giwa, A., Schmitt, C. F., & Nigg, J. T. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.003 · Cited by 354
Reaction Time Variability in ADHD: A Review
Tamm, L., Narad, M. E., Antonini, T. N., O'Brien, K. M., Hawk, L. W., & Epstein, J. N. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0138-5 · Cited by 324
Liddle, E. B., Hollis, C., Batty, M. J., Groom, M. J., Totman, J. J., Liotti, M., Scerif, G., & Liddle, P. F. (2011) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02333.x · Cited by 281
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
fMRI reveals reciprocal inhibition between social and physical cognitive domains
Jack, A. I., Dawson, A. J., Begany, K. L., Leckie, R. L., Barry, K. P., Ciccia, A. H., & Snyder, A. Z. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.061 · Cited by 280
Recent theoretical, neural, and clinical advances in sustained attention research
Fortenbaugh, F. C., Degutis, J. M., & Esterman, M. S. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13318 · Cited by 307
On the relation of mind wandering and ADHD symptomatology
Seli, P., Smallwood, J., Cheyne, J. A., & Smilek, D. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0793-0 · Cited by 280
Sripada, C., Kessler, D. A., & Angstadt, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407787111 · Cited by 258
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
Hoekzema, E. A., Carmona, S., Ramos‐Quiroga, J. A., Vanesa Richarte, B., Bosch, R., Soliva, J. C., Rovira, M., Bulbena, A., Tobeña, A., Casas, M., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22250 · Cited by 181
Sun, L., Cao, Q., Long, X., Sui, M., Cao, X., Zhu, C., Zuo, X., Li, A., Song, Y., Zang, Y., et al. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.07.001 · Cited by 168
Kuntsi, J., Wood, A. C., Johnson, K. A., Andreou, P., Arias-Vasquez, A., Buitelaar, J. K., Rommelse, N. N. J., Sergeant, J. A., Sonuga-Barke, E. J., Uebel, H., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.139 · Cited by 162
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
Jack, A. I., Friedman, J. P., Boyatzis, R. E., & Taylor, S. N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0149989 · Cited by 166
Insights into multimodal imaging classification of ADHD
Colby, J. B., Rudie, J. D., Brown, J. A., Douglas, P. K., Cohen, M. S., & Shehzad, Z. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00059 · Cited by 144
Prediction of neurocognition in youth from resting state fMRI
Sripada, C., Rutherford, S. E., Angstadt, M., Thompson, W. K., Luciana, M. M., Weigard, A. S., Hyde, L. W., & Heitzeg, M. M. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0481-6 · Cited by 146
Anderson, A., Douglas, P. K., Kerr, W. T., Haynes, V. S., Yuille, A. L., Xie, J., Wu, Y. N., Brown, J. A., & Cohen, M. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.015 · Cited by 136
Christiansen, L., Beck, M. M., Bilenberg, N., Wienecke, J., Astrup, A. V., & Lundbye‐Jensen, J. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8060841 · Cited by 168
Antagonistic neural networks underlying differentiated leadership roles
Boyatzis, R. E., Rochford, K. C., & Jack, A. I. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00114 · Cited by 148
Fibromyalgia interacts with age to change the brain
Čeko, M., Bushnell, M. C., Fitzcharles, M., & Schweinhardt, P. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.08.015 · Cited by 138
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
Schulz, K. P., Fan, J., Bédard, A.-C. V., Clerkin, S. M., Ivanov, I., Tang, C. Y., Halperin, J. M., & Newcorn, J. H. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2053 · Cited by 114
Kessler, D. A., Angstadt, M., & Sripada, C. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0088 · Cited by 109
The role of rat dorsomedial prefrontal cortex in spatial working memory
Horst, N. K., & Laubach, M. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.08.004 · Cited by 109
Kam, J. W. Y., & Handy, T. C. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00725 · Cited by 122
Attention Problems of Very Preterm Children Compared with Age-Matched Term Controls at School-Age
de Kieviet, J. F., van Elburg, R. M., Lafeber, H. N., & Oosterlaan, J. (2012) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2012.05.010 · Cited by 105
Posner, J., Maia, T. V., Fair, D., Peterson, B. S., Sonuga-Barke, E. J., & Nagel, B. J. (2011) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2011.02.005 · Cited by 104
Mazaheri, A., Fassbender, C., Coffey‐Corina, S., Hartanto, T. A., Schweitzer, J. B., & Mangun, G. R. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.08.023 · Cited by 117
Self-citationWorking memory‐related changes in functional connectivity persist beyond task disengagement
Gordon, E. M., Breeden, A. L., Bean, S. E., & Vaidya, C. J. (2012) · Human Brain Mapping · doi:10.1002/hbm.22230 · Cited by 103
Integrating Impairments in Reaction Time and Executive Function Using a Diffusion Model Framework
Karalunas, S. L., & Huang‐Pollock, C. L. (2013) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-013-9715-2 · Cited by 107
Kucyi, A., Hove, M. J., Biederman, J., Dijk, K. R. A. V., & Valera, E. M. (2015) · Human Brain Mapping · doi:10.1002/hbm.22850 · Cited by 99
Altered spontaneous low frequency brain activity in Attention Deficit/Hyperactivity Disorder
Helps, S. K., Broyd, S. J., James, C. J., Karl, A., Chen, W., & Sonuga-Barke, E. J. S. (2010) · Brain Research · doi:10.1016/j.brainres.2010.01.057 · Cited by 99
Brain abnormalities in attention-deficit hyperactivity disorder: a review.
Rubia, K., Alegría, A. A., & Brinson, H. (2014) · PubMed · Cited by 96
Geissler, J. M., Romanos, M., Hegerl, U., & Hensch, T. (2014) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-014-0144-z · Cited by 110
Sudre, G., Szekely, E., Sharp, W., Kasparek, S., & Shaw, P. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705229114 · Cited by 93
Marquand, A. F., Simoni, S. D., O’Daly, O., Williams, S., Mourão-Miranda, J., & Mehta, M. A. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.9 · Cited by 96
Sidlauskaite, J., Sonuga-Barke, E. J. S., Roeyers, H., & Wiersema, J. R. (2015) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-015-0630-0 · Cited by 99
Saad, J. F., Griffiths, K. R., & Korgaonkar, M. S. (2020) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2020.00031 · Cited by 101
Neurotherapeutics for Attention Deficit/Hyperactivity Disorder (ADHD): A Review
Rubia, K., Westwood, S. J., Aggensteiner, P.-M., & Brandeis, D. (2021) · Cells · doi:10.3390/cells10082156 · Cited by 91
Neuroimaging and ADHD: fMRI, PET, DTI Findings, and Methodological Limitations
Weyandt, L. L., Swentosky, A. J., & Guðmundsdóttir, B. G. (2013) · Developmental Neuropsychology · doi:10.1080/87565641.2013.783833 · Cited by 92
Kessler, D., Angstadt, M., Welsh, R. C., & Sripada, C. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3156-14.2014 · Cited by 83
Dimensional Brain-Behavior Relationships in Children with Attention-Deficit/Hyperactivity Disorder
Chabernaud, C., Mennes, M., Kelly, C. A. M., Nooner, K. B., Martino, A. D., Castellanos, F. X., & Milham, M. P. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.08.013 · Cited by 88
Connectivity supporting attention in children with attention deficit hyperactivity disorder
Barber, A. D., Jacobson, L. A., Wexler, J. L., Nebel, M. B., Caffo, B. S., Pekar, J. J., & Mostofsky, S. H. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.11.011 · Cited by 83
Metin, B., Krebs, R. M., Wiersema, J. R., Verguts, T., Gasthuys, R., van der Meere, J. J., Achten, E., Roeyers, H., & Sonuga-Barke, E. J. S. (2014) · Journal of Abnormal Psychology · doi:10.1037/abn0000013 · Cited by 78
Irrelevant stimulus processing in ADHD: catecholamine dynamics and attentional networks
Aboitiz, F., Ossandón, T., Zamorano, F. J., Palma, B. A., & Carrasco, X. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00183 · Cited by 86
Fassbender, C., Schweitzer, J. B., Cortes, C. R., Tagamets, M. A., Windsor, T. A., Reeves, G. M., & Gullapalli, R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027240 · Cited by 72
“We have previously demonstrated an increase in intra-individual RT variability in all subjects with increasing task difficulty in this paradigm [33].”
BackgroundMethodResultInfluentialSelf-citationBorhani, K., & Nejati, V. (2018) · Developmental Neuropsychology · doi:10.1080/87565641.2018.1440295 · Cited by 80
Ravichandran, S., Bhatt, R. R., Pandit, B., Osadchiy, V., Alaverdyan, A., Vora, P. P., Stains, J., Naliboff, B. D., Mayer, E. A., & Gupta, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-83116-0 · Cited by 82
Bossong, M. G., Jager, G., Bhattacharyya, S., & Allen, P. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990436 · Cited by 75
Default Mode Network in the Effects of Δ9-Tetrahydrocannabinol (THC) on Human Executive Function
Bossong, M. G., Jansma, J. M., van Hell, H. H., Jager, G., Kahn, R. S., & Ramsey, N. F. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070074 · Cited by 75
Zink, N., Lenartowicz, A., & Markett, S. A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.011 · Cited by 87
Electrophysiological markers of genetic risk for attention deficit hyperactivity disorder
Tye, C., McLoughlin, G., Kuntsi, J., & Asherson, P. J. (2011) · Expert Reviews in Molecular Medicine · doi:10.1017/s1462399411001797 · Cited by 73
Dibbets, P., Evers, E. A. T., Hurks, P. P. M., Bakker, K., & Jolles, J. (2010) · Neuropsychology · doi:10.1037/a0018997 · Cited by 80
Bailey, C. D. C., Alves, N. C., Nashmi, R., De Biasi, M., & Lambe, E. K. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.011 · Cited by 69
Inattentiveness in attention-deficit/hyperactivity disorder
Sroubek, A. E., Kelly, M. S., & Li, X. (2013) · Neuroscience Bulletin · doi:10.1007/s12264-012-1295-6 · Cited by 70
Owens, M. M., Yuan, D., Hahn, S., Albaugh, M. D., Allgaier, N. A., Chaarani, B., Potter, A., & Garavan, H. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa143 · Cited by 67
Inflammation Disrupts the Brain Network of Executive Function after Cardiac Surgery
Zhu, Y., Zhou, M., Jia, X., Zhang, W., Shi, Y., Bai, S., Rampes, S., Vizcaychipi, M. P., Wu, C., Wang, K., et al. (2021) · Annals of Surgery · doi:10.1097/sla.0000000000005041 · Cited by 78
Gordon, E. M., Stollstorff, M., & Vaidya, C. J. (2011) · Human Brain Mapping · doi:10.1002/hbm.21306 · Cited by 67
Intraindividual Variability in Inhibitory Function in Adults with ADHD – An Ex-Gaussian Approach
Gmehlin, D., Fuermaier, A. B. M., Walther, S., Debelak, R., Rentrop, M., Westermann, C., Sharma, A., Tucha, L., Koerts, J., Tucha, O. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112298 · Cited by 66
Mowinckel, A. M., Alnæs, D., Pedersen, M. L., Ziegler, S., Fredriksen, M., Kaufmann, T., Sonuga-Barke, E. J. S., Endestad, T., Westlye, L. T., & Biele, G. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.03.008 · Cited by 71
Saad, J. F., Griffiths, K. R., Kohn, M. R., Clarke, S. P., Williams, L. M., & Korgaonkar, M. S. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.05.016 · Cited by 68
Lin, H., Gau, S. S., Hwang-Gu, S.-L., Shang, C., Wu, M. Y., & Tseng, W. I. (2013) · Psychological Medicine · doi:10.1017/s0033291713001955 · Cited by 61
Bossong, M. G., Jansma, J. M., Bhattacharyya, S., & Ramsey, N. F. (2014) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2013.11.017 · Cited by 62
Panagiotidi, M., Overton, P. G., & Stafford, T. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113477 · Cited by 69
Miao, H., Chen, X., Yan, Y., He, X., Hu, S., Kong, J., Wu, M., Wei, Y., Zhou, Y., Wang, L., et al. (2016) · Neuroradiology · doi:10.1007/s00234-016-1708-8 · Cited by 62
Shappell, H. M., Duffy, K. A., Rosch, K. S., Pekar, J. J., Mostofsky, S. H., Lindquist, M. A., & Cohen, J. R. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117753 · Cited by 60
Brown, A., Biederman, J., Valera, E. M., Doyle, A. E., Bush, G., Spencer, T. J., Monuteaux, M. C., Mick, E. O., Whitfield, S., Makris, N., et al. (2009) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.31022 · Cited by 56
Relationship of DAT1 and adult ADHD to task-positive and task-negative working memory networks
Brown, A. B., Biederman, J., Valera, E., Makris, N., Doyle, A., Whitfield-Gabrieli, S., Mick, E., Spencer, T., Faraone, S., & Seidman, L. (2011) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.01.006 · Cited by 53
Lin, H., Hwang-Gu, S.-L., & Gau, S. S. (2015) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12393 · Cited by 58
Long-term functional outcome in adult prison inmates with ADHD receiving OROS-methylphenidate
Ginsberg, Y., Hirvikoski, T., Grann, M., & Lindefors, N. (2012) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-012-0317-8 · Cited by 57
Miklós, M., Futó, J., Komáromy, D., & Balázs, J. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16203822 · Cited by 64
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Metadata
- Authors
- Fassbender, C., Zhang, H., Buzy, W. M., Cortes, C. R., Mizuiri, D., Beckett, L., & Schweitzer, J. B.
- Affiliations
- University of California Davis Medical Center (US)
- University of California, Davis (US)
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 1273
- Pages
- 114-128
- ISSN
- 0006-8993 (ISSN-L)
- PMC
- PMC4721585
- OpenAlex
- W1983208632
- Cited by
- 316
- References
- 76
- Citations by year
- 2026: 8 · 2025: 14 · 2024: 14 · 2023: 13 · 2022: 22 · 2021: 18 · 2020: 17 · 2019: 19 · 2018: 17 · 2017: 19 · 2016: 26 · 2015: 16 · 2014: 32 · 2013: 24 · 2012: 24
- FWCI
- 11.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH066310)
- National Center for Research Resources (UL1RR024146)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Keywords
- attention deficit hyperactivity disorder, distractibility, default mode network, reaction time variability, within-person variability, medial prefrontal cortex, ventromedial prefrontal cortex, neural deactivation, task difficulty, working memory, children
- MeSH terms
- Adolescent, Attention, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Child, Cognition, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Memory, Short-Term, Mental Processes, Nerve Net, Neural Inhibition, Neuropsychological Tests, Reaction Time, Normal Distribution, Prefrontal Cortex
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