The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Atypical Default Network Connectivity in Youth with Attention-Deficit/Hyperactivity Disorder
Open accessAbstract
Background Attention-deficit/hyperactivity disorder (ADHD) is a major public health concern. It has been suggested that the brain's default network may provide a crucial avenue for understanding the neurobiology of attention deficit/hyperactivity disorder. Evaluations of the default network have increased over recent years with the applied technique of resting-state functional connectivity magnetic resonance imaging (rs-fcMRI). These investigations have established that spontaneous activity in this network is highly correlated at rest in young adult populations. This coherence seems to be reduced in adults with ADHD. This is an intriguing finding, as coherence in spontaneous activity within the default network strengthens with age. Thus, the pathophysiology of ADHD might include delayed or disrupted maturation of the default network. If so, it is important to determine whether an altered developmental picture can be detected using rs-fcMRI in children with ADHD.Methods This study used the typical developmental context provided previously by Fair et al. (2008) to examine coherence of brain activity within the default network using rs-fcMRI in children with (n = 23) and without attention deficit/hyperactivity disorder (n = 23).Results We found that functional connections previously shown as developmentally dynamic in the default network were atypical in children with attention deficit/hyperactivity disorder-consistent with perturbation or failure of the maturational processes.Conclusions These findings are consistent with the hypothesis that atypical consolidation of this network over development plays a role in attention deficit/hyperactivity disorder.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Connections to the default network were atypical in ADHD in all the three subgroups, corroborating previous findings of atypical connectivity between the nucleus accumbens and regions of the default network in a group of children with ADHD combined type (which shared some participants with the current study) (Costa Dias et al., 2012), and of atypical integration of this network in ADHD (Castellano”
From Characterizing heterogeneity in children with and without ADHD based on reward system connectivity (2015) · cites this paper as Fair et al., 2010
In the citing paper
“The default mode network is implicated in ADHD (Fair et al., 2010) and is associated with poorer attentional regulation in ADHD (Castellanos et al., 2008).”
From Mindfulness Meditation Training for Attention-Deficit/Hyperactivity Disorder in Adulthood: Current Empirical Support, Treatment Overview, and Future Directions (2015) · cites this paper as Fair et al., 2010
In the citing paper
“Another example includes assessment of the default mode network, which is another promising target for mindfulness (Sood & Jones, 2013) and is implicated in ADHD (Castellanos et al., 2008; Fair et al., 2010)”
From Mindfulness Meditation Training for Attention-Deficit/Hyperactivity Disorder in Adulthood: Current Empirical Support, Treatment Overview, and Future Directions (2015) · cites this paper as Fair et al., 2010
In the citing paper
“in the first section we found that NAcc is atypically connected to several cortical regions in children with ADHD, including regions previously shown to present atypical correlated spontaneous activity in adults and children with the disorder (Castellanos et al., 2008; Fair et al., 2010; Mills et al., 2012).”
From Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder (2013) · cites this paper as Fair et al., 2010
In the citing paper
“Rs-fcMRI has been used to study brain functional connectivity in ADHD (Castellanos et al., 2008; Fair et al., 2010), but studies focusing on cortical-subcortical connections remain infrequent.”
From Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder (2013) · cites this paper as Fair et al., 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
KAUFMAN, J., BIRMAHER, B., BRENT, D., RAO, U., FLYNN, C., MORECI, P., WILLIAMSON, D., & RYAN, N. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199707000-00021 · Cited by 10,148
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
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
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
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Research works printed but not linked: 2
- Gilbert, 2007, Comment on “Wandering minds: The default network and stimulus-Independent thought.”, Science, 317, 43, 10.1126/science.1140801 · DOI
- Castellanos, 2008, Cingulate-precuneus interactions: a new locus of dysfunction in adult attention-deficit/hyperactivity disorder, Biol Psychiatry, 63, 332, 10.1016/j.biopsych.2007.06.025 · DOI · Paper page
Cited by
Sorted by citations
Items 101–200 of 353
Hong, S.-B., Harrison, B. J., Fornito, A., Sohn, C., Song, I. C., & Kim, J.-W. (2015) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130290 · Cited by 76
Koirala, S., Grimsrud, G. J., Mooney, M. A., Larsen, B., Feczko, E., Elison, J. T., Nelson, S. M., Nigg, J. T., Tervo‐Clemmens, B., & Fair, D. A. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00869-z · Cited by 78
Self-citationNetwork connectivity abnormality profile supports a categorical‐dimensional hybrid model of ADHD
Elton, A., Alcauter, S., & Gao, W. (2014) · Human Brain Mapping · doi:10.1002/hbm.22492 · Cited by 77
Brain connectivity and socioeconomic status at birth and externalizing symptoms at age 2 years
Ramphal, B., Whalen, D. J., Kenley, J. K., Yu, Q., Smyser, C. D., Rogers, C. E., & Sylvester, C. M. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100811 · Cited by 70
Wilson, T. W., Franzen, J. D., Heinrichs‐Graham, E., White, M. L., Knott, N. L., & Wetzel, M. W. (2011) · Human Brain Mapping · doi:10.1002/hbm.21459 · Cited by 69
Bebko, G. M., Bertocci, M. A., Chase, H. W., Dwojak, A., Bonar, L. K., Almeida, J., Perlman, S. B., Versace, A., Schirda, C., Travis, M. J., et al. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.10.015 · Cited by 64
Mennes, M., Potler, N. V., Kelly, C. A. M., Martino, A. D., Castellanos, F. X., & Milham, M. P. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2011.00083 · Cited by 66
Characterising resting-state functional connectivity in a large sample of adults with ADHD
Mostert, J. C., Shumskaya, E., Mennes, M., Onnink, A. M. H., Hoogman, M., Kan, C. C., Vásquez, A. A., Buitelaar, J. K., Franke, B., & Norris, D. G. (2016) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2016.01.011 · Cited by 71
ADHD and hyperkinetic disorder
Sonuga‐Barke, E. J. S., & Taylor, E. (2015) · Rutter's Child and Adolescent Psychiatry · doi:10.1002/9781118381953.ch55 · Cited by 62
Sex differences in the relationship between white matter connectivity and creativity
Ryman, S. G., van den Heuvel, M. P., Yeo, R. A., Caprihan, A., Carrasco, J., Vakhtin, A. A., Flores, R. A., Wertz, C. J., & Jung, R. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.027 · Cited by 63
Developments and challenges in the diagnosis and treatment of ADHD
Dias, T. G. C., Kieling, C., Graeff-Martins, A. S., Moriyama, T. S., Rohde, L. A., & Polanczyk, G. V. (2013) · Revista Brasileira de Psiquiatria · doi:10.1590/1516-4446-2013-s103 · Cited by 62
Self-citationA Network Neuroscience Approach to Typical and Atypical Brain Development
Morgan, S. E., White, S. R., Bullmore, E. T., & Vértes, P. E. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.003 · Cited by 69
Xia, S., Foxe, J. J., Sroubek, A. E., Branch, C. A., & Li, X. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00162 · Cited by 66
Attention Deficit Hyperactivity Disorder
Matthews, M., Nigg, J. T., & Fair, D. A. (2013) · Current topics in behavioral neurosciences · doi:10.1007/7854_2013_249 · Cited by 80
Self-citationde Almeida, J. S., Meskaldji, D. E., Loukas, S., Lordier, L., Gui, L., Lazeyras, F., & Hüppi, P. S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117440 · Cited by 61
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
A New Outlook on Mental Illnesses: Glial Involvement Beyond the Glue
Elsayed, M., & Magistretti, P. J. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00468 · Cited by 62
Choi, J., Jeong, B., Lee, S. W., & Go, H.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083516 · Cited by 58
Dynamic synergetic configurations of resting-state networks in ADHD
Kaboodvand, N., Iravani, B., & Fransson, P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116347 · Cited by 58
Michelini, G., Jurgiel, J., Bakolis, I., Cheung, C. H. M., Asherson, P. J., Loo, S. K., Kuntsi, J., & Mohammad-Rezazadeh, I. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0469-7 · Cited by 64
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
Debbané, M., Lazouret, M., Lagioia, A., Schneider, M., Ville, D. V. D., & Eliez, S. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2012.05.021 · Cited by 54
Guanfacine Extended Release: A New Pharmacological Treatment Option in Europe
Huß, M., Chen, W., & Ludolph, A. G. (2015) · Clinical Drug Investigation · doi:10.1007/s40261-015-0336-0 · Cited by 60
Guo, X., Yao, D., Cao, Q., Liu, L., Zhao, Q., Li, H., Huang, F., Wang, Y., Qian, Q., Wang, Y., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0740-y · Cited by 61
Karcher, N. R., Michelini, G., Kotov, R., & Barch, D. M. (2021) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.09.008 · Cited by 55
Franzen, J. D., Heinrichs-Graham, E., White, M. L., Wetzel, M. W., Knott, N. L., & Wilson, T. W. (2013) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.120054 · Cited by 55
Kiiski, H. S. M., Rueda‐Delgado, L. M., Bennett, M., Knight, R., Rai, L. A., Roddy, D. W., Grogan, K., Bramham, J., Kelly, C. A. M., & Whelan, R. (2019) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.08.010 · Cited by 56
Reduced Default Mode Connectivity in Adolescents With Conduct Disorder
Broulidakis, J., Fairchild, G. F., Sully, K., Blumensath, T., Darekar, A., & Sonuga-Barke, E. J. S. (2016) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.05.021 · Cited by 53
Anomalías cerebrales en el trastorno por déficit de atención/hiperactividad: una revisión
Rubia, K., Alegría, A. A., & Brinson, H. (2014) · Revista de Neurología · doi:10.33588/rn.58s01.2013570 · Cited by 53
Fuchino, Y., Naoi, N., Shibata, M., Niwa, F., Kawai, M., Konishi, Y., Okanoya, K., & Myowa‐Yamakoshi, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067432 · Cited by 54
Sensation‐to‐cognition cortical streams in attention‐deficit/hyperactivity disorder
Carmona, S., Hoekzema, E. A., Castellanos, F. X., García‐García, D., Lage‐Castellanos, A., Dijk, K. R. A. V., Navas-Sánchez, F. J., Martínez, K., Desco, M., & Sepulcre, J. (2015) · Human Brain Mapping · doi:10.1002/hbm.22790 · Cited by 54
Attention deficits and hyperactivity–impulsivity: What have we learned, what next?
Nigg, J. T. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000734 · Cited by 51
Self-citationLee, D., Lee, J., Lee, J. E., & Jung, Y. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.02.005 · Cited by 52
Yoo, J. H., Kim, D., Choi, J., & Jeong, B. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9713-z · Cited by 49
Sanefuji, M., Craig, M., Parlatini, V., Mehta, M. A., Murphy, D., Catani, M., Cerliani, L., & de Schotten, M. T. (2016) · Cortex · doi:10.1016/j.cortex.2016.06.005 · Cited by 50
Griffiths, K. R., Grieve, S. M., Kohn, M. R., Clarke, S., Williams, L. M., & Korgaonkar, M. S. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.219 · Cited by 46
Lüchinger, R., Michels, L., Martin, E., & Brandeis, D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.031 · Cited by 49
Aydın, S., Çetin, F. H., Uytun, M. Ç., Babadağı, Z., Güven, A. S., & Işık, Y. (2022) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2022.103626 · Cited by 45
Querné, L., Fall, S., Moing, A. G. L., Bourel‐Ponchel, E., Delignières, A., Simonnot, A., de Broca, A., Gondry‐Jouet, C., Boucart, M., & Berquin, P. C. (2014) · Journal of Attention Disorders · doi:10.1177/1087054713517542 · Cited by 46
Cai, W., Warren, S. L., Duberg, K., Pennington, B. F., Hinshaw, S. P., & Menon, V. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01022-3 · Cited by 46
Vascular Coupling in Resting-State FMRI: Evidence from Multiple Modalities
Zhu, D. C., Tarumi, T., Khan, M. A., & Zhang, R. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.166 · Cited by 44
EEG coherence and symptom profiles of children with Attention-Deficit/Hyperactivity Disorder
Barry, R. J., Clarke, A. R., Hajós, M., Dupuy, F. E., McCarthy, R., & Selikowitz, M. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.01.007 · Cited by 46
Soman, S. M., Vijayakumar, N., Thomson, P., Ball, G., Hyde, C. E., & Silk, T. J. (2023) · Human Brain Mapping · doi:10.1002/hbm.26288 · Cited by 47
Duffy, K. A., Rosch, K. S., Nebel, M. B., Seymour, K. E., Lindquist, M. A., Pekar, J. J., Mostofsky, S. H., & Cohen, J. R. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100980 · Cited by 46
Petrican, R., Taylor, M. J., & Grady, C. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.025 · Cited by 43
Loo, S. K., Bilder, R. M., Cho, A. L., Sturm, A., Cowen, J., Walshaw, P. D., Levitt, J. G., Del’Homme, M., Piacentini, J. C., McGough, J. J., et al. (2016) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.04.020 · Cited by 43
Connectomics in psychiatric research: advances and applications
Yong He, A., Cao, M., & Wang, Z. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s63470 · Cited by 44
Default Mode Network Maturation and Environmental Adversities During Childhood
Rebello, K., Moura, L. M., Pinaya, W. H. L., Rohde, L. A., & Sato, J. R. (2018) · Chronic Stress · doi:10.1177/2470547018808295 · Cited by 46
Sidlauskaite, J., Caeyenberghs, K., Sonuga-Barke, E. J. S., Roeyers, H., & Wiersema, J. R. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.10.001 · Cited by 42
Lee, M. J., Park, B., Cho, S., Park, H., Kim, S., & Chung, C. (2019) · Pain · doi:10.1097/j.pain.0000000000001676 · Cited by 41
A Cognitive Framework for Understanding and Improving Interference Resolution in the Brain
Mishra, J., Anguera, J. A., Ziegler, D. A., & Gazzaley, A. H. (2013) · Progress in brain research · doi:10.1016/b978-0-444-63327-9.00013-8 · Cited by 45
Huang, S., Wu, Y., Peng, S., Peng, H., Huang, T., Ho, K., & Wang, F. (2016) · Scientific Reports · doi:10.1038/srep21697 · Cited by 40
Nardos, R., Karstens, L., Carpenter, S. D., Aykes, K., Krisky, C. M., Stevens, C., Gregory, W. T., & Fair, D. A. (2015) · Neurourology and Urodynamics · doi:10.1002/nau.22767 · Cited by 39
Self-citationNardos, R., Gregory, W. T., Krisky, C. M., Newell, A., Nardos, B., Schlaggar, B. L., & Fair, D. A. (2013) · Neurourology and Urodynamics · doi:10.1002/nau.22458 · Cited by 39
Self-citationThe variability of EEG functional connectivity of young ADHD subjects in different resting states
Alba, G., Pereda, E., Mañas, S., Méndez, L. D., Duque, M. R., González, A., & González, J. J. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.09.134 · Cited by 40
A Developmental Perspective on Attention-Deficit/Hyperactivity Disorder (ADHD)
Campbell, S. B. G., Halperin, J. M., & Sonuga-Barke, E. J. S. (2014) · Springer eBooks · doi:10.1007/978-1-4614-9608-3_22 · Cited by 39
Lin, H.-Y., & Gau, S. S.-F. (2016) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyv094 · Cited by 37
Structural brain network topology underpinning ADHD and response to methylphenidate treatment
Griffiths, K. R., Braund, T. A., Kohn, M. R., Clarke, S. D., Williams, L. M., & Korgaonkar, M. S. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01278-x · Cited by 41
Mizuno, Y., Jung, M., Fujisawa, T. X., Takiguchi, S., Shimada, K., Saito, D. N., Kosaka, H., & Tomoda, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-04579-8 · Cited by 36
Functional Connectivity of Attention-Related Networks in Drug-Naïve Children With ADHD
Lin, H., Lin, Q., Li, H., Wang, M., Chen, H., Liang, Y., Bu, X., Wang, W., Yi, Y., Zhao, Y., et al. (2018) · Journal of Attention Disorders · doi:10.1177/1087054718802017 · Cited by 39
Network Structure among Brain Systems in Adult ADHD is Uniquely Modified by Stimulant Administration
Cary, R. P., Ray, S., Grayson, D. S., Painter, J. G., Carpenter, S. D., Maron, L. M., Sporns, O., Stevens, A. A., Nigg, J. T., & Fair, D. A. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw209 · Cited by 34
Self-citationPicon, F. A., Sato, J. R., Anés, M., Vedolin, L., Mazzola, A. A., Valentini, B. B., Cupertino, R. B., Karam, R. G., Victor, M. M., Breda, V., et al. (2018) · Journal of Attention Disorders · doi:10.1177/1087054718816822 · Cited by 33
Helgadóttir, H., Guðmundsson, Ó. Ó., Baldursson, G., Magnússon, P., Blin, N., Brynjólfsdóttir, B., Emilsdóttir, Á. L., Gudmundsdóttir, G. B., Lorange, M., Newman, P. K., et al. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-005500 · Cited by 33
Tao, J., Jiang, X., Wang, X., Liu, H., Qian, A., Yang, C., Chen, H., Li, J., Ye, Q., Wang, J., et al. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00246 · Cited by 32
Mizuno, Y., Cai, W., Supekar, K., Makita, K., Takiguchi, S., Tomoda, A., & Menon, V. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119332 · Cited by 33
Yamamuro, K., Ota, T., Iida, J., Nakanishi, Y., Kishimoto, N., & Kishimoto, T. (2016) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s120540 · Cited by 31
Parker, D. B., & Razlighi, Q. R. (2019) · Scientific Reports · doi:10.1038/s41598-019-50483-8 · Cited by 31
Remodeling of Sensorimotor Brain Connectivity in Gpr88 -Deficient Mice
Arefin, T. M., Mechling, A. E., Meirsman, A. C., Bienert, T., Hübner, N. S., Lee, H., Hamida, S. B., Ehrlich, A. T., Roquet, D., Hennig, J., et al. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0486 · Cited by 32
Liu, N., Liu, Q., Yang, Z., Xu, J., Fu, G., Zhou, Y., Li, H., Wang, Y., Liu, L., & Qian, Q. (2022) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14032 · Cited by 29
Kyeong, S.-H., Kim, J., & Kim, E. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182603 · Cited by 30
Zhou, Z.-W., Fang, Y.-T., Lan, X.-Q., Sun, L., Cao, Q., Wang, Y.-F., Hong, L., Zang, Y.-F., & Zhang, H. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00692 · Cited by 27
Dimatelis, J. J., Hsieh, J. H., Sterley, T.-L., Marais, L., Womersley, J. S., Vlok, M., & Russell, V. A. (2015) · Journal of Molecular Neuroscience · doi:10.1007/s12031-015-0491-z · Cited by 29
Barber, A. D., Sarpal, D. K., John, M., Fales, C. L., Mostofsky, S. H., Malhotra, A. K., Karlsgodt, K. H., & Lencz, T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.01.024 · Cited by 31
The Neural Dynamics of Fronto-Parietal Networks in Childhood Revealed using Magnetoencephalography
Astle, D. E., Luckhoo, H., Woolrich, M. W., Kuo, B.-C., Nobre, A. C., & Scerif, G. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu271 · Cited by 31
Correction of respiratory artifacts in MRI head motion estimatesPreprint
Fair, D. A., Miranda-Domínguez, Ó., Snyder, A. Z., Perrone, A. J., Earl, E., Van, A. N., Koller, J. M., Feczko, E., Klein, R. L., Mirro, A. E., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/337360 · Cited by 28
Self-citationPruim, R. H. R., Beckmann, C. F., Oldehinkel, M., Oosterlaan, J., Heslenfeld, D. J., Hartman, C. A., Hoekstra, P. J., Faraone, S. V., Franke, B., Buitelaar, J. K., et al. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.11.014 · Cited by 31
Zhou, M., Yang, C., Bu, X., Liang, Y., Lin, H., Hu, X., Chen, H., Wang, M., & Huang, X. (2019) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-019-01297-6 · Cited by 28
A multi-demand operating system underlying diverse cognitive tasks
Cai, W., Taghia, J., & Menon, V. (2024) · Nature Communications · doi:10.1038/s41467-024-46511-5 · Cited by 32
Sun, Y., Lan, Z., Xue, S., Zhao, L., Xiao, Y., Kuai, C., Lin, Q., & Bao, K. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.05.010 · Cited by 27
Russell‐Chapin, L. A., Kemmerly, T., Liu, W.-C., Zagardo, M. T., Chapin, T. J., Dailey, D. J., & Dinh, D. (2013) · Journal of Neurotherapy · doi:10.1080/10874208.2013.759017 · Cited by 25
Sartipi, S., Kalbkhani, H., Ghasemzadeh, P., & Shayesteh, M. G. (2019) · Applied Soft Computing · doi:10.1016/j.asoc.2019.105905 · Cited by 25
Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder
Bu, X., Liang, K., Lin, Q., Gao, Y., Qian, A., Chen, H., Chen, W., Wang, M., Yang, C., & Huang, X. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa113 · Cited by 25
Mooney, M. A., Hermosillo, R. J. M., Feczko, E., Miranda-Domínguez, Ó., Moore, L. A., Perrone, A. J., Byington, N., Grimsrud, G. J., Rueter, A., Nousen, E. K., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1202-23.2023 · Cited by 30
Self-citationAlmeida, D. M., Jandacek, R. J., Weber, W. A., & McNamara, R. K. (2015) · Nutritional Neuroscience · doi:10.1179/1476830515y.0000000046 · Cited by 25
Resting state FMRI research in child psychiatric disorders
Oldehinkel, M., Francx, W., Beckmann, C. F., Buitelaar, J. K., & Mennes, M. (2013) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-013-0480-0 · Cited by 29
Electrophysiological Correlates of Response Time Variability During a Sustained Attention Task
Machida, K., Murias, M., & Johnson, K. A. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00363 · Cited by 27
Ahmadi, M., Kazemi, K., Kuć, K., Cybulska-Kłosowicz, A., Helfroush, M. S., & Aarabi, A. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac16b3 · Cited by 25
Attention-deficit/hyperactivity disorder in adults: update on clinical presentation and care
Asherson, P. J., Manor, I., & Huß, M. (2014) · Neuropsychiatry · doi:10.2217/npy.14.16 · Cited by 27
Medication Effects on EEG Biomarkers in Attention-Deficit/Hyperactivity Disorder
Isiten, H. N., Çebi, M., Sütçübaşı, B., Metin, B., & Tarhan, N. (2016) · Clinical EEG and Neuroscience · doi:10.1177/1550059416675232 · Cited by 24
Sripada, C., Angstadt, M., Taxali, A., Kessler, D. A., Greathouse, T., Rutherford, S. E., Clark, D. A., Hyde, L. W., Weigard, A., Brislin, S. J., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01708-w · Cited by 28
Saad, J. F., Griffiths, K. R., Kohn, M. R., Braund, T. A., Clarke, S. D., Williams, L. M., & Korgaonkar, M. S. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.859538 · Cited by 26
Hsu, C.-F., Benikos, N., & Sonuga-Barke, E. J. S. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.01.007 · Cited by 22
Green, T., Saggar, M., Ishak, A., Hong, D. S., & Reiss, A. L. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx188 · Cited by 23
Variability of single trial brain activation predicts fluctuations in reaction time
Bender, S., Banaschewski, T., Roessner, V., Klein, C., Rietschel, M., Feige, B., Brandeis, D., & Laucht, M. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2015.01.013 · Cited by 24
Smoothness Selection for Penalized Quantile Regression Splines
Reiss, P. T., & Huang, L. (2012) · The International Journal of Biostatistics · doi:10.1515/1557-4679.1381 · Cited by 22
Park, H., & Park, B. (2016) · Neural Regeneration Research · doi:10.4103/1673-5374.175056 · Cited by 22
Prospective memory in children with attention deficit hyperactivity disorder: a review
Talbot, K.-D. S., Müller, U., & Kerns, K. A. (2017) · The Clinical Neuropsychologist · doi:10.1080/13854046.2017.1393563 · Cited by 24
Attention deficit hyperactivity disorder in children
Зиновьева, О. Е., Rogovina, E. G., & Tyrinova, E. A. (2014) · Neurology neuropsychiatry Psychosomatics · doi:10.14412/2074-2711-2014-1-4-8 · Cited by 24
Zhu, Z., Wang, H., Bi, H., Lv, J., Zhang, X., Wang, S., & Zou, L. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114121 · Cited by 21
Metadata
- Authors
- 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.
- Affiliations
- Oregon Health & Science University (US)
- New York State Psychiatric Institute (US)
- Corresponding author
- Fair, Damien A.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 68
- Issue
- 12
- Pages
- 1084-1091
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC2997893
- OpenAlex
- W2082502102
- Cited by
- 354
- References
- 77
- Citations by year
- 2026: 11 · 2025: 5 · 2024: 13 · 2023: 12 · 2022: 16 · 2021: 18 · 2020: 22 · 2019: 29 · 2018: 21 · 2017: 27 · 2016: 26 · 2015: 31 · 2014: 48 · 2013: 35 · 2012: 28
- FWCI
- 16.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Oregon Clinical and Translational Research Institute
- Medical Research Foundation
- UNCF Merck postdoctoral fellowship
- Ford Foundation
- Portland Alcohol Research Center pilot funds (P60 AA010760)
- Oregon Health and Science University Neuropsychiatric Institute
- 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 › Mind wandering and attention
- Keywords
- attention deficit hyperactivity disorder, default mode network, resting-state functional connectivity, children, brain maturation, developmental trajectories, spontaneous brain activity, neurodevelopmental hypothesis
- MeSH terms
- Adolescent, Age Factors, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Child, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
