Trajectories of Cerebral Cortical Development in Childhood and Adolescence and Adult Attention-Deficit/Hyperactivity Disorder
Open accessAbstract
Background Childhood attention-deficit/hyperactivity disorder (ADHD) persists into adulthood in around half of those affected, constituting a major public health challenge. No known demographic, clinical, or neuropsychological factors robustly explain the clinical course, directing our focus to the brain. Herein, we link the trajectories of cerebral cortical development during childhood and adolescence with the severity of adult ADHD.Methods Using a longitudinal study design, 92 participants with ADHD had childhood (mean 10.7 years, SD 3.3) and adult clinical assessments (mean 23.8 years, SD 4.3) with repeated neuroanatomic magnetic resonance imaging. Contrast was made against 184 matched typically developing volunteers.Results Attention-deficit/hyperactivity disorder persisted in 37 (40%) subjects and adult symptom severity was linked to cortical trajectories. Specifically, as the number of adult symptoms increased, particularly inattentive symptoms, so did the rate of cortical thinning in the medial and dorsolateral prefrontal cortex. For each increase of one symptom of adult ADHD, the rate of cortical thinning increased by .0018 mm (SE = .0004, t = 4.2, p < .0001), representing a 5.6% change over the mean rate of thinning for the entire group. These differing trajectories resulted in a convergence toward typical dimensions among those who remitted and a fixed, nonprogressive deficit in persistent ADHD. Notably, cortical thickening or minimal thinning (greater than -.007 mm/year) was found exclusively among individuals who remitted.Conclusions Adult ADHD status is linked with the developmental trajectories of cortical components of networks supporting attention, cognitive control, and the default mode network. This informs our understanding of the developmental pathways to adult ADHD.
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
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?
New research is beginning to define neural predictors and correlates of remission in ADHD.
“New research is indeed beginning to define neural predictors and correlatesof r emission 94,95,253 .”
From Attention-deficit/hyperactivity disorder (2015) · cites this paper as [95]
The Results report cortical trajectories associated with adult ADHD outcome: the remitted group converged toward typical cortical dimensions, supporting neural correlates of remission. But the same section says no baseline cortical regions were associated with adult symptoms, so this study does not establish a neural predictor of remission. (LLM, conf=0.87)
Experimental — accuracy not yet measuredFindings of fronto-parietal dysfunction in adult ADHD persisters are in line with evidence that attention deficits typically persist in adult ADHD and with evidence for abnormal cortical thinning in lateral fronto-parietal regions in ADHD persisters, but not remitters.
“The findings of fronto-parietal dysfunction- which mediates attention- in adult ADHD persisters is in line with evidence that attention deficits typically persist in adult ADHD and with evidence for abnormal cortical thinning in lateral fronto-parietal regions in ADHD persisters, but not remitters (Shaw et al., 2013).”
From Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation (2018) · cites this paper as Shaw et al., 2013
The Introduction and Results report that inattentive symptoms are more persistent than hyperactive-impulsive symptoms. The Results and Discussion link persistent ADHD to different cortical trajectories, including in dorsolateral prefrontal cortex, but the right parietal association did not survive correction for multiple comparisons. The Results also describe a fixed cortical deficit in persisters, not a significantly abnormal thinning rate relative to typically developing participants. (LLM, conf=0.87)
Experimental — accuracy not yet measuredRemission of ADHD has been associated with normalization of abnormalities as measured by activation during functional imaging tasks, cortical thinning and structural and functional brain connectivity.
“Remission of ADHD has been associated with normalization of abnormalities as measured by activation during functional imaging tasks 90 , cortical thinning 91 and structural and functional brain connectivity 92-95 .”
From Attention-deficit/hyperactivity disorder (2015) · cites this paper as [95]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
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 · see citing works
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278 · see citing works
Mixed-Effects Models in S and S-Plus
Carey, V., & Wang, Y.-G. (2001) · Journal of the American Statistical Association · doi:10.1198/jasa.2001.s411 · Cited by 8,092 · see citing works
Four Factor Index of Social Status
Paschou, R. (1975) · Cited by 6,989 · see citing works
Four Factor Index of Social Status [1975]
Hollingshead, A. B. (1975) · Cited by 5,151 · see citing works
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923 · see citing works
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731 · see citing works
The attention system of the human brain: 20 years after
Petersen, S. E., & Posner, M. I. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150525 · Cited by 3,439 · see citing works
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 1× · see citing works
“Native magnetic resonance imaging (MRI) scans were masked using the Brain Extraction Tool (28), registered into standardized stereotaxic space using a nine-parameter linear transformation (29), corrected for nonuniformity artifacts (30) and segmented (31, 32).”
MethodFARAONE, S. V., BIEDERMAN, J., & MICK, E. (2006) · Psychological Medicine · doi:10.1017/s003329170500471x · Cited by 2,267 · see citing works
A default mode of brain function: a brief history of an evolving idea
Raichle, M. E., & Snyder, A. Z. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.041 · Cited by 2,173 · see citing works
(1998) · Cited by 2,026 · see citing works
Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis
Simon, V., Czobor, P., Bálint, S., Mészáros, Á., & Bitter, I. (2009) · British Journal of Psychiatry · doi:10.1192/bjp.bp.107.048827 · Cited by 1,601 · see citing works
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481 · see citing works
Kim-Cohen, J., Caspi, A., Taylor, A., Williams, B., Newcombe, R., Craig, I. W., & Moffitt, T. E. (2006) · Molecular Psychiatry · doi:10.1038/sj.mp.4001851 · Cited by 1,158 · see citing works
Parasuraman, R. (1998) · Cited by 917 · 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
Diagnostic Interview for Children and Adolescents (DICA)
Reich, W. (2000) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200001000-00017 · Cited by 818 · see citing works
Kim, J. S., Singh, V., Lee, J. K., Lerch, J. P., Ad-Dab’bagh, Y., MacDonald, D. J., Lee, J. M., Kim, S. I., & Evans, A. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.036 · Cited by 816 · see citing works
Tamnes, C. K., Østby, Y., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp118 · Cited by 779 · see citing works
A Prospective 4-Year Follow-up Study of Attention-Deficit Hyperactivity and Related Disorders
Biederman, J. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830050073012 · Cited by 768 · see citing works
Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis
Zijdenbos, A. P., Forghani, R., & Evans, A. C. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.806283 · Cited by 755 · see citing works
Shaw, P., Lerch, J., Greenstein, D., Sharp, W., Clasen, L., Evans, A., Giedd, J., Castellanos, F. X., & Rapoport, J. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.5.540 · Cited by 703 · see citing works
Self-citationCortical thickness analysis examined through power analysis and a population simulation
Lerch, J. P., & Evans, A. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.045 · Cited by 697 · see citing works
Fast and robust parameter estimation for statistical partial volume models in brain MRI
Tohka, J., Zijdenbos, A. P., & Evans, A. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.007 · Cited by 670 · see citing works
Jovicich, J., Czanner, S., Han, X., Salat, D. H., van der Kouwe, A. J. W., Quinn, B. T., Pacheco, J., Albert, M., Killiany, R., & Blacker, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.010 · Cited by 549 · 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
Makris, N., Biederman, J., Valera, E. M., Bush, G., Kaiser, J., Kennedy, D. N., Caviness, V. S., Faraone, S. V., & Seidman, L. J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl047 · Cited by 450 · see citing works
Halperin, J. M., & Schulz, K. P. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.4.560 · Cited by 446 · cited 1× · see citing works
“It has been argued that structural and functional normalization of the cortex is the mechanism underpinning symptomatic remission in ADHD (22, 53).”
BackgroundRubia, K. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.023 · Cited by 440 · see citing works
Lara, C., Fayyad, J., de Graaf, R., Kessler, R. C., Aguilar-Gaxiola, S., Angermeyer, M., Demytteneare, K., de Girolamo, G., Haro, J. M., Jin, R., et al. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.10.005 · Cited by 420 · see citing works
An unbiased iterative group registration template for cortical surface analysis
Lyttelton, O. C., Boucher, M., Robbins, S. M., & Evans, A. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.041 · Cited by 415 · see citing works
Seidman, L. J., Valera, E. M., Makris, N., Monuteaux, M. C., Boriel, D., Kelkar, K., Kennedy, D. N., Caviness, V. S., Bush, G., Aleardi, M., et al. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.04.031 · Cited by 378 · see citing works
Lahey, B., Pelham, W., Loney, J., Kipp, H. L., Ehrhardt, A., Lee, S. S., Willcutt, E., Hartung, C. M., Chronis, A. M., & Massetti, G. M. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.11.2014 · Cited by 363 · see citing works
Mariani, M. A., & Barkley, R. A. (1997) · Developmental Neuropsychology · doi:10.1080/87565649709540671 · Cited by 316 · cited 1× · see citing works
“This factor may also contribute to the high IQ in our participants, an important limitation as intelligence might be relevant to the brain phenotype in ADHD and lower intelligence and ADHD may share genetic factors (55, 56)(57, 58).”
BackgroundCingulate, Frontal, and Parietal Cortical Dysfunction in Attention-Deficit/Hyperactivity Disorder
Bush, G. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.01.022 · Cited by 304 · see citing works
A systematic review of prospective studies on attention problems and academic achievement
Polderman, T. J. C., Boomsma, D. I., Bartels, M., Verhulst, F. C., & Huizink, A. C. (2010) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2010.01568.x · Cited by 303 · see citing works
Biederman, J., Petty, C. R., Dolan, C., Hughes, S., Mick, E., Monuteaux, M. C., & Faraone, S. V. (2008) · Psychological Medicine · doi:10.1017/s0033291707002668 · Cited by 299 · see citing works
Raznahan, A., Lerch, J. P., Lee, N., Greenstein, D. K., Wallace, G. L., Stockman, M., CLASEN, L. S., Shaw, P. W., & Giedd, J. N. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.028 · Cited by 297 · see citing works
Self-citationVetter, V. L., Elia, J., Erickson, C., Berger, S., Blum, N., Uzark, K., & Webb, C. L. (2008) · Circulation · doi:10.1161/circulationaha.107.189473 · Cited by 296 · see citing works
Co‐occurrence of ADHD and low IQ has genetic origins
Kuntsi, J., Eley, T. C., Taylor, A., Hughes, C., Asherson, P., Caspi, A., & Moffitt, T. E. (2004) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.20076 · Cited by 267 · see citing works
Halperin, J. M., Trampush, J. W., Miller, C. J., Marks, D. J., & Newcorn, J. H. (2008) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2008.01926.x · Cited by 252 · see citing works
Pingault, J.-B., Tremblay, R. E., Vitaro, F., Carbonneau, R., Genolini, C., Falissard, B., & Côté, S. M. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.10121732 · Cited by 244 · see citing works
Bussing, R., Mason, D. M., Bell, L., Porter, P., & GARVAN, C. W. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.03.006 · Cited by 240 · see citing works
Makris, N., Buka, S. L., Biederman, J., Papadimitriou, G. M., Hodge, S. M., Valera, E. M., Brown, A. B., Bush, G., Monuteaux, M. C., Caviness, V. S., et al. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm156 · Cited by 239 · see citing works
Birnbaum, H. G., Kessler, R. C., Lowe, S. W., Secnik, K., Greenberg, P. E., Leong, S. A., & Swensen, A. R. (2005) · Current Medical Research and Opinion · doi:10.1185/030079904x20303 · Cited by 237 · see citing works
Childhood psychiatric disorders as anomalies in neurodevelopmental trajectories
Shaw, P., Gogtay, N., & Rapoport, J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21028 · Cited by 216 · see citing works
Self-citationProal, E. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.117 · Cited by 207 · see citing works
Enhanced resting-state brain activities in ADHD patients: A fMRI study
Tian, L., Jiang, T., Liang, M., Zang, Y., Yong He, A., Sui, M., & Wang, Y. (2007) · Brain and Development · doi:10.1016/j.braindev.2007.10.005 · Cited by 139 · see citing works
Cortical thickness of the frontopolar area in typically developing children and adolescents
O'Donnell, S., Noseworthy, M. D., Levine, B., & Dennis, M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.014 · Cited by 134 · see citing works
The Impact of Child IQ, Parent IQ and Sibling IQ on Child Behavioural Deviance Scores
Goodman, R., Simonoff, E. A., & Stevenson, J. (1995) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1995.tb01299.x · Cited by 122 · see citing works
ADHD from a socio‐economic perspective
Bernfort, L., Nordfeldt, S., & Persson, J. (2008) · Acta Paediatrica · doi:10.1111/j.1651-2227.2007.00611.x · Cited by 105 · see citing works
Amico, F., Stauber, J., Koutsouleris, N., & Frodl, T. (2011) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.08.011 · Cited by 98 · see citing works
Martel, M. M., von Eye, A., & Nigg, J. T. (2012) · International Journal of Behavioral Development · doi:10.1177/0165025412444077 · Cited by 74 · see citing works
Differential Brain Development with Low and High IQ in Attention-Deficit/Hyperactivity Disorder
de Zeeuw, P., Schnack, H., van Belle, J., Weusten, J., van Dijk, S. C., Langen, M., Brouwer, R., van Engeland, H., & Durston, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035770 · Cited by 65 · see citing works
Monuteaux, M., Mick, E., Faraone, S., & Biederman, J. (2009) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/j.1469-7610.2009.02152.x · Cited by 62 · see citing works
Short-Term Persistence of DSM-IV ADHD Diagnoses: Influence of Context, Age, and Gender
Bauermeister, J. J., Bird, H., Shrout, P. E., Chavez, L. M., Ramírez, R., & CANINO, G. J. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.03.017 · Cited by 20 · see citing works
Mack, A. H. (2011) · Yearbook of Psychiatry and Applied Mental Health · doi:10.1016/j.ypsy.2010.09.006 · Cited by 19 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [17]Lara C Fayyad J de Graaf R Kessler RC Aguilar-Gaxiola S Angermeyer M 2009 Childhood Predictors of Adult Attention-Deficit/Hyperactivity Disorder: Results from the World Health Organization World Mental Health Survey Initiative Biol Psychiatry 65 46 54 19006789 PMC2629074
Cited by
Sorted by citations
Attention-deficit/hyperactivity disorder
Faraone, S. V., Asherson, P., Banaschewski, T., Biederman, J., Buitelaar, J. K., Ramos-Quiroga, J. A., Rohde, L. A., Sonuga-Barke, E. J. S., Tannock, R., & Franke, B. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.20 · Cited by 1,479 · see citing works
Thapar, A., Cooper, M., & Rutter, M. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)30376-5 · Cited by 903 · see citing works
Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan
Franke, B., Michelini, G., Asherson, P., Banaschewski, T., Bilbow, A., Buitelaar, J. K., Cormand, B., Faraone, S. V., Ginsberg, Y., Haavik, J., et al. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.08.001 · Cited by 643 · see citing works
Hoogman, M., Muetzel, R., Guimaraes, J. P., Shumskaya, E., Mennes, M., Zwiers, M. P., Jahanshad, N., Sudre, G., Wolfers, T., Earl, E. A., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18091033 · Cited by 467 · see citing works
Self-citationSex differences in the developing brain: insights from multimodal neuroimaging
Kaczkurkin, A. N., Raznahan, A., & Satterthwaite, T. D. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-018-0111-z · Cited by 403 · see citing works
A Review of Heterogeneity in Attention Deficit/Hyperactivity Disorder (ADHD)
Luo, Y., Weibman, D., Halperin, J. M., & Li, X. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00042 · Cited by 394 · see citing works
Rubia, K. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00100 · Cited by 384 · see citing works
“…dysfunction- which mediates attention- in adult ADHD persisters is in line with evidence that attention deficits typically persist in adult ADHD and with evidence for abnormal cortical thinning in lateral fronto-parietal regions in ADHD persisters, but not remitters (Shaw et al., 2013).”
ResultDiagnostic Issues and Controversies in DSM-5: Return of the False Positives Problem
Wakefield, J. C. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032814-112800 · Cited by 217 · see citing works
Boedhoe, P. S. W., van Rooij, D., Hoogman, M., Twisk, J. W. R., Schmaal, L., Abe, Y., Alonso, P., Ameis, S. H., Anikin, A., Anticevic, A., et al. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.19030331 · Cited by 201 · see citing works
Self-citationTop-Down Dysregulation—From ADHD to Emotional Instability
Petrovic, P., & Castellanos, F. X. (2016) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2016.00070 · Cited by 179 · see citing works
“Panel B is originally from Dickstein et al. (2006) and reprinted with permission from John Wiley & Sons, Ltd. in adulthood (Shaw et al., 2013).”
MethodLenartowicz, A., Delorme, A., Walshaw, P. D., Cho, A. L., Bilder, R. M., McGough, J. J., McCracken, J. T., Makeig, S., & Loo, S. K. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1765-13.2014 · Cited by 158 · see citing works
Riglin, L., Collishaw, S., Thapar, A. K., Dalsgaard, S., Langley, K., Smith, G. D., Stergiakouli, E., Maughan, B., O’Donovan, M. C., & Thapar, A. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.2817 · Cited by 161 · 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
Sleep disturbances in adolescents with ADHD: A systematic review and framework for future research
Lunsford-Avery, J. R., Krystal, A. D., & Kollins, S. H. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2016.10.004 · Cited by 131 · see citing works
Shaw, P., De Rossi, P., Watson, B., Wharton, A., Greenstein, D., Raznahan, A., Sharp, W., Lerch, J. P., & Chakravarty, M. M. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2014.05.003 · Cited by 126 · see citing works
Self-citationChantiluke, K., Christakou, A., Murphy, C. M., Giampietro, V., Daly, E. M., Ecker, C., Brammer, M., Murphy, D. G., & Rubia, K. (2014) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2014.04.006 · Cited by 116 · see citing works
Francx, W., Oldehinkel, M., Oosterlaan, J., Heslenfeld, D., Hartman, C. A., Hoekstra, P. J., Franke, B., Beckmann, C. F., Buitelaar, J. K., & Mennes, M. (2015) · Cortex · doi:10.1016/j.cortex.2015.08.012 · Cited by 102 · see citing works
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 · see citing works
Self-citationRommelse, N., Buitelaar, J. K., & Hartman, C. A. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-016-1651-1 · Cited by 85 · see citing works
Bonvicini, C., Faraone, S. V., & Scassellati, C. (2018) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2017.1282175 · Cited by 83 · see citing works
Halperin, J. M., Berwid, O. G., & O’Neill, S. (2014) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2014.05.005 · Cited by 75 · see citing works
Shaw, P., Sudre, G., Wharton, A., Weingart, D., Sharp, W., & Sarlls, J. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.241 · Cited by 77 · see citing works
Self-citationDistinct brain structure and behavior related to ADHD and conduct disorder traits
Bayard, F., Nymberg Thunell, C., Abé, C., Almeida, R., Banaschewski, T., Barker, G., Bokde, A. L. W., Bromberg, U., Büchel, C., Quinlan, E. B., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0202-6 · Cited by 67 · see citing works
Choi, J., Jeong, B., Lee, S. W., & Go, H.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083516 · Cited by 58 · see citing works
Beauchaine, T. P., Sauder, C. L., Derbidge, C. M., & Uyeji, L. L. (2019) · Development and Psychopathology · doi:10.1017/s0954579418000822 · Cited by 49 · see citing works
Szekely, E., Sudre, G. P., Sharp, W., Leibenluft, E., & Shaw, P. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16111313 · Cited by 47 · see citing works
Self-citationSchulz, K. P., Li, X., Clerkin, S. M., Fan, J., Berwid, O. G., Newcorn, J. H., & Halperin, J. M. (2017) · Cortex · doi:10.1016/j.cortex.2017.01.019 · Cited by 39 · see citing works
Agnew-Blais, J. C., Polanczyk, G. V., Danese, A., Wertz, J., Moffitt, T. E., & Arseneault, L. (2020) · Psychological Medicine · doi:10.1017/s0033291719003015 · Cited by 36 · see citing works
Structural Brain Changes and Associated Symptoms of ADHD Subtypes in Children.
Mu, S., Wu, H., Zhang, J., & Chang, C. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab276 · Cited by 29 · see citing works
Jarrett, M. A., Gable, P. A., Rondon, A. T., Neal, L. B., Price, H. F., & Hilton, D. C. (2020) · Journal of Attention Disorders · doi:10.1177/1087054717723986 · Cited by 18 · see citing works
Krieger, V., & Amador-Campos, J. A. (2021) · Child Neuropsychology · doi:10.1080/09297049.2021.1917530 · Cited by 16 · see citing works
Early Predictors of De Novo and Subthreshold Late-Onset ADHD in a Child and Adolescent Cohort
Liu, C.-Y., Asherson, P., Viding, E., Greven, C. U., & Pingault, J.-B. (2021) · Journal of Attention Disorders · doi:10.1177/1087054719892888 · Cited by 8 · see citing works
- Authors
- Shaw, P., Malek, M., Watson, B., Greenstein, D., de Rossi, P., & Sharp, W.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Shaw, Philip
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 74
- Issue
- 8
- Pages
- 599-606
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC5922431
- OpenAlex
- W2074018760
- Cited by
- 303
- References
- 59
- Citations by year
- 2026: 24 · 2025: 22 · 2024: 16 · 2023: 17 · 2022: 24 · 2021: 15 · 2020: 27 · 2019: 19 · 2018: 25 · 2017: 22 · 2016: 41 · 2015: 23 · 2014: 20 · 2013: 7
- FWCI
- 21.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (ZIAHG200378)
- 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 › Autism Spectrum Disorder Research
- Keywords
- adult ADHD, persistent ADHD, childhood ADHD, cortical development, cortical thinning, cortical thickening, prefrontal cortex, medial prefrontal cortex, dorsolateral prefrontal cortex, inattentive symptoms, symptom severity, remission, cognitive control, default mode network, developmental trajectories
- MeSH terms
- Adult, Attention Deficit Disorder with Hyperactivity, Cerebral Cortex, Child, Female, Humans, Longitudinal Studies, Male, Young Adult
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