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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.
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“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
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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
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
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
Resting-State fMRI: A Review of Methods and Clinical Applications
Lee, M. H., Smyser, C. D., & Shimony, J. S. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3263 · Cited by 1,195
Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.020 · Cited by 1,042
A neuromarker of sustained attention from whole-brain functional connectivity
Rosenberg, M. D., Finn, E. S., Scheinost, D., Papademetris, X., Shen, X., Constable, R. T., & Chun, M. M. (2015) · Nature Neuroscience · doi:10.1038/nn.4179 · Cited by 1,051
Attention-deficit hyperactivity disorder
Posner, J., Polanczyk, G. V., & Sonuga-Barke, E. (2020) · The Lancet · doi:10.1016/s0140-6736(19)33004-1 · Cited by 835
Self-citationFarahani, F. V., Karwowski, W., & Lighthall, N. R. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00585 · Cited by 765
Resting-state functional connectivity in normal brain aging
Ferreira, L. K., & Busatto, G. F. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.017 · Cited by 631
Gates, K. M., & Molenaar, P. C. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.026 · Cited by 478
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-citationRommelse, 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
van Ewijk, H., Heslenfeld, D. J., Zwiers, M. P., Buitelaar, J. K., & Oosterlaan, J. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.01.003 · Cited by 377
Abnormal Functional Connectivity in Children with Attention-Deficit/Hyperactivity Disorder
Tomasi, D., & Volkow, N. D. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.11.003 · Cited by 363
Development of human brain cortical network architecture during infancy
Gao, W., Alcauter, S., Smith, J. K., Gilmore, J. H., & Lin, W. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0710-3 · Cited by 356
Karalunas, S. L., Fair, D., Musser, E. D., Aykes, K., Iyer, S. P., & Nigg, J. T. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.763 · Cited by 340
Self-citationRetractedCortese, S. (2012) · European Journal of Paediatric Neurology · doi:10.1016/j.ejpn.2012.01.009 · Cited by 335
The attentive brain: insights from developmental cognitive neuroscience
Amso, D., & Scerif, G. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4025 · Cited by 369
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
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
Self-citationAntidepressants Normalize the Default Mode Network in Patients With Dysthymia
Posner, J., Hellerstein, D. J., Gat, I., Mechling, A., Klahr, K., Wang, Z., McGrath, P. J., Stewart, J. W., & Peterson, B. S. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.455 · Cited by 268
Self-citationPosner, J., Park, C., & Wang, Z. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9251-z · Cited by 257
Self-citationSripada, C., Kessler, D. A., & Angstadt, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1407787111 · Cited by 258
Correction of respiratory artifacts in MRI head motion estimates
Fair, D. A., Miranda-Domínguez, Ó., Snyder, A. Z., Perrone, A. J., Earl, E., Van, A. N., Koller, J. M., Feczko, E., Tisdall, M. D., van der Kouwe, A. J. W., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116400 · Cited by 226
Self-citationLarge-scale topology and the default mode network in the mouse connectome
Stafford, J. M., Jarrett, B. R., Miranda-Dominguez, O., Mills, B. D., Cain, N., Mihalas, S., Lahvis, G. P., Lattal, K. M., Mitchell, S. H., David, S. V., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404346111 · Cited by 229
Self-citationListon, C., Cohen, M. M., Teslovich, T., Levenson, D., & Casey, B. J. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.03.022 · Cited by 216
Gallo, E. F., & Posner, J. E. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00096-1 · Cited by 231
Self-citationThe molecular genetic architecture of attention deficit hyperactivity disorder
Hawi, Z., Cummins, T. D. R., Tong, J., Johnson, B. P., Lau, R., Samarrai, W., & Bellgrove, M. A. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.183 · Cited by 226
Becker, S. P., Langberg, J. M., & Byars, K. C. (2014) · Journal of Youth and Adolescence · doi:10.1007/s10964-014-0248-y · Cited by 214
Disrupted network architecture of the resting brain in attention‐deficit/hyperactivity disorder
Sripada, C., Kessler, D. A., Fang, Y., Welsh, R. C., Kumar, K. P., & Angstadt, M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22504 · Cited by 202
Castellanos, F. X., & Aoki, Y. Y. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.03.004 · Cited by 196
Structural and functional rich club organization of the brain in children and adults
Grayson, D. S., Ray, S., Carpenter, S., Iyer, S., Dias, T. G. C., Stevens, C., Nigg, J. T., & Fair, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088297 · Cited by 187
Self-citationBrown, M. R. G., Sidhu, G. S., Greiner, R., Asgarian, N., Bastani, M., Silverstone, P. H., Greenshaw, A. J., & Dursun, S. M. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00069 · Cited by 185
Gao, Y., Shuai, D., Bu, X., Hu, X., Tang, S., Zhang, L., Li, H., Hu, X., Lu, L., Gong, Q., et al. (2019) · Psychological Medicine · doi:10.1017/s003329171900237x · Cited by 192
Costa Dias, T. G., Wilson, V. B., Bathula, D. R., Iyer, S. P., Mills, K. L., Thurlow, B. L., Stevens, C. A., Musser, E. D., Carpenter, S. D., Grayson, D. S., et al. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.10.015 · Cited by 180
Self-citationAltered white matter microstructure in children with attention-deficit/hyperactivity disorder
Nagel, B. J., Bathula, D., Herting, M., Schmitt, C., Kroenke, C. D., Fair, D., & Nigg, J. T. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.12.003 · Cited by 178
Self-citationYoo, K., Rosenberg, M. D., Hsu, T. W., Zhang, S., Li, C. R., Scheinost, D., Constable, R. T., & Chun, M. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.010 · Cited by 174
Ahmadlou, M., & Adeli, H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.070 · Cited by 171
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
Resting-state network dysconnectivity in ADHD: A system-neuroscience-based meta-analysis
Sütçübaşı, B., Metin, B., Kurban, K., Metin, Z. E., Beşer, B., & Sonuga-Barke, E. J. S. (2020) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2020.1775889 · Cited by 183
Deshpande, G., Wang, P., Rangaprakash, D., & Wilamowski, B. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2379621 · Cited by 161
A 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
Imaging Functional and Structural Brain Connectomics in Attention-Deficit/Hyperactivity Disorder
Cao, M., Shu, N., Cao, Q., Wang, Y., & Yong He, A. (2014) · Molecular Neurobiology · doi:10.1007/s12035-014-8685-x · Cited by 161
Attention-Deficit/Hyperactivity Disorder: A Historical Neuropsychological Perspective
Mahone, E. M., & DENCKLA, M. B. (2017) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617717000807 · Cited by 190
Ray, S., Miller, M., Karalunas, S., Robertson, C., Grayson, D. S., Cary, R. P., Hawkey, E., Painter, J. G., Kriz, D., Fombonne, E., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22603 · Cited by 149
Self-citationToward Developmental Connectomics of the Human Brain
Cao, M., Huang, H., Peng, Y., Dong, Q., & Yong He, A. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00025 · Cited by 156
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
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
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
Hutchison, R. M., & Everling, S. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00029 · Cited by 143
McCarthy, H., Skokauskas, N., Mulligan, A., Donohoe, G. J., Mullins, D., Kelly, J. R., Johnson, K. A., Fagan, A. J., Gill, M., Meaney, J. F., et al. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.2174 · Cited by 140
Characterizing Attention with Predictive Network Models
Rosenberg, M. D., Finn, E. S., Scheinost, D., Constable, R. T., & Chun, M. M. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.01.011 · Cited by 151
Development of the Brain’s Functional Network Architecture
Vogel, A. C., Power, J. D., Petersen, S. E., & Schlaggar, B. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9145-7 · Cited by 143
Hulvershorn, L. A., Mennes, M., Castellanos, F. X., Di Martino, A., Milham, M. P., Hummer, T. A., & Roy, A. K. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.11.012 · Cited by 138
Abnormal brain synchrony in Down Syndrome
Anderson, J. S., Nielsen, J. A., Ferguson, M. A., Burback, M., Cox, E., Dai, L., Gerig, G., Edgin, J. O., & Korenberg, J. R. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.05.006 · Cited by 148
Characterizing heterogeneity in children with and without ADHD based on reward system connectivity
Costa Dias, T. G., Iyer, S. P., Carpenter, S. D., Cary, R. P., Wilson, V. B., Mitchell, S. H., Nigg, J. T., & Fair, D. A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.12.005 · Cited by 130
Self-citationSonuga-Barke, E. J. S., & Fairchild, G. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.04.004 · Cited by 124
Li, A., Cao, Q., Sui, M., Sun, L., Zou, Q., Zang, Y., & Wang, Y. (2013) · Neuroscience Bulletin · doi:10.1007/s12264-013-1353-8 · Cited by 124
Attention Deficit Hyperactivity Disorder
Matthews, M., Nigg, J. T., & Fair, D. A. (2013) · Current topics in behavioral neurosciences · doi:10.1007/978-3-662-45758-0_249 · Cited by 124
Self-citationTypical and atypical brain development: a review of neuroimaging studies
Dennis, E. L., & Thompson, P. M. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.3/edennis · Cited by 126
Barber, A. D., Caffo, B. S., Pekar, J. J., & Mostofsky, S. H. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.011 · Cited by 123
Predicting individual brain maturity using dynamic functional connectivity
Qin, J., Chen, S.-G., Hu, D., Zeng, L.-L., Fan, Y.-M., Chen, X.-P., & Shen, H. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00418 · Cited by 117
Li, M., Wang, D., Ren, J., Langs, G., Stoecklein, S., Brennan, B. P., Lu, J., Chen, H., & Liu, H. (2019) · PLoS Biology · doi:10.1371/journal.pbio.2007032 · Cited by 116
The potential of infant fMRI research and the study of early life stress as a promising exemplar
Graham, A. M., Pfeifer, J. H., Fisher, P. A., Lin, W., Gao, W., & Fair, D. A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.09.005 · Cited by 114
Self-citationCortical Signatures of Dyslexia and Remediation: An Intrinsic Functional Connectivity Approach
Koyama, M. S., Martino, A. D., Kelly, C. A. M., Jutagir, D. R., Sunshine, J. M., Schwartz, S. J., Castellanos, F. X., & Milham, M. P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055454 · Cited by 111
Mitchell, J. T., Zylowska, L., & Kollins, S. H. (2015) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2014.10.002 · Cited by 109
Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging
Kong, X., Zhen, Z., Li, X., Huan-hua, L., Ruosi, W., Liu, L., Yong He, A., Zang, Y., & Liu, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104989 · Cited by 111
Mills, K. L., Bathula, D., Dias, T. G. C., Iyer, S. P., Fenesy, M. C., Musser, E. D., Stevens, C. A., Thurlow, B. L., Carpenter, S. D., Nagel, B. J., et al. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00002 · Cited by 108
Self-citationPark, J. H., Hong, J. S., Han, D. H., Min, K. J., Lee, Y. S., Kee, B. S., & Kim, S. M. (2017) · Journal of Korean Medical Science · doi:10.3346/jkms.2017.32.3.514 · Cited by 107
Structural Covariance Networks in Children with Autism or ADHD
Bethlehem, R. A. I., Romero-García, R., Mak, E., Bullmore, E. T., & Baron‐Cohen, S. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx135 · Cited by 108
Lin, H.-Y., Tseng, W.-Y. I., Lai, M.-C., Matsuo, K., & Gau, S. S.-F. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771500020x · Cited by 102
Brain differences between persistent and remitted attention deficit hyperactivity disorder
Mattfeld, A. T., Gabrieli, J. D. E., Biederman, J., Spencer, T., Brown, A., Kotte, A., Kagan, E., & Whitfield-Gabrieli, S. (2014) · Brain · doi:10.1093/brain/awu137 · Cited by 96
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
Cai, W., Griffiths, K. R., Korgaonkar, M. S., Williams, L. M., & Menon, V. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0564-4 · Cited by 110
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
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
A behavioral neuroenergetics theory of ADHD
Killeen, P. R., Russell, V. A., & Sergeant, J. A. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.011 · Cited by 97
MR connectomics: a conceptual framework for studying the developing brain
Hagmann, P., Grant, P. E., & Fair, D. A. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00043 · Cited by 96
Self-citationBrain abnormalities in attention-deficit hyperactivity disorder: a review.
Rubia, K., Alegría, A. A., & Brinson, H. (2014) · PubMed · 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
Neurobiology of ADHD From Childhood to Adulthood
Kašpárek, T., Theiner, P., & Fiľová, A. (2013) · Journal of Attention Disorders · doi:10.1177/1087054713505322 · Cited by 103
Applying cognitive training to target executive functions during early development
Wass, S. V. (2014) · Child Neuropsychology · doi:10.1080/09297049.2014.882888 · Cited by 101
Li, F. Y., He, N., Li, Y., Chen, L., Huang, X., Lui, S., Guo, L., Kemp, G. J., & Gong, Q. (2014) · Radiology · doi:10.1148/radiol.14131622 · Cited by 99
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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
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