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Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation
Open accessAbstract
There is controversy over the nature of the disturbance in brain development that underpins attention-deficit/hyperactivity disorder (ADHD). In particular, it is unclear whether the disorder results from a delay in brain maturation or whether it represents a complete deviation from the template of typical development. Using computational neuroanatomic techniques, we estimated cortical thickness at >40,000 cerebral points from 824 magnetic resonance scans acquired prospectively on 223 children with ADHD and 223 typically developing controls. With this sample size, we could define the growth trajectory of each cortical point, delineating a phase of childhood increase followed by adolescent decrease in cortical thickness (a quadratic growth model). From these trajectories, the age of attaining peak cortical thickness was derived and used as an index of cortical maturation. We found maturation to progress in a similar manner regionally in both children with and without ADHD, with primary sensory areas attaining peak cortical thickness before polymodal, high-order association areas. However, there was a marked delay in ADHD in attaining peak thickness throughout most of the cerebrum: the median age by which 50% of the cortical points attained peak thickness for this group was 10.5 years (SE 0.01), which was significantly later than the median age of 7.5 years (SE 0.02) for typically developing controls (log rank test χ( 1 ) 2 = 5,609, P < 1.0 × 10 −20 ). The delay was most prominent in prefrontal regions important for control of cognitive processes including attention and motor planning. Neuroanatomic documentation of a delay in regional cortical maturation in ADHD has not been previously reported.
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“Slower maturation or decreased size of the PFC and also diminished PFC, caudate or cerebellum activation have been found in patients with ADHD [77, 78].”
From Molecular Characterisation of the Mechanism of Action of Stimulant Drugs Lisdexamfetamine and Methylphenidate on ADHD Neurobiology: A Review (2022) · cites this paper as [78]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“ADHD is associated with slowed (Shaw et al., 2007) or impaired (Shaw et al., 2009) development of the right lateral PFC, the PFC region needed for inhibiting inappropriate actions and attention to distractors (Aron, Robbins, & Poldrack, 2004).”
From Guanfacine’s mechanism of action in treating prefrontal cortical disorders: Successful translation across species (2020) · cites this paper as Shaw et al., 2007
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“ADHD is also associated with delayed maturation of the cerebral cortex.”
From Attention-deficit/hyperactivity disorder (2015) · cites this paper as [88]
The cited source says what the claim attributes to it.
In the citing paper
“In one study, the age of attaining peak cortical thickness was 10.5years for patients with ADHD and 7.5years for unaffected individuals; this delay was most prominent in the prefrontal regions that are important for executive functioning, attention and motor planning 88 .”
From Attention-deficit/hyperactivity disorder (2015) · cites this paper as [88]
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“While this delay (e.g., in reaching peak cortical thickness) is prominent in children [73], findings in adults are more heterogeneous.”
From ADHD in Adulthood: Clinical Presentation, Comorbidities, and Treatment Perspectives (2025) · cites this paper as [73]
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“There is evidence of delayed maturation of the PFC in children with ADHD (Shaw et al., 2007).”
From Catecholamine influences on prefrontal cortical function: Relevance to treatment of attention deficit/hyperactivity disorder and related disorders (2011) · cites this paper as Shaw et al., 2007
In the citing paper
“In a longitudinal study of cerebral cortex thickness, psychostimulant treatment normalized the ADHD-associated excess cortical thinning during adolescence (Shaw et al., 2007, Shaw et al., 2009, van der Marel et al., 2014).”
From Sensitive periods of substance abuse: Early risk for the transition to dependence (2017) · cites this paper as Shaw et al., 2007
In the citing paper
“Regarding age, it has been shown that patients with ADHD show a regional delay in the maturation of cortical thickness, especially in regions responsible for cognitive control such as attention, working memory, inhibition and evaluation of reward contingencies in the prefrontal cortex (Shaw et al. 2007), and a slightly earlier maturation of the primary motor cortex.”
From The neurobiological link between OCD and ADHD (2014) · cites this paper as Shaw et al. 2007
In the citing paper
“The authors thus suggested that the abnormal development of cognitive control and motor areas may drive the poor control of motor activity (Shaw et al. 2007).”
From The neurobiological link between OCD and ADHD (2014) · cites this paper as Shaw et al. 2007
In the citing paper
“its structural characteristics have been found to be related to self-regulation in a number of neurodevelopmental conditions (9–13, 32, 50, 51).”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [10]
In the citing paper
“structural differences in prefrontal and cingulate cortices have repeatedly been identified in children with a range of different psychopathological conditions related to self-regulation and attention, including Attention Deficit Hyperactivity Disorder, conduct disorder, and prenatal substance exposure (10–13, 29–34).”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [10]
In the citing paper
“The differential increases for children with ADHD may be a byproduct of their underdeveloped cortical structures that support working memory (Shaw et al., 2007).”
From Are Episodic Buffer Processes Intact in ADHD? Experimental Evidence and Linkage with Hyperactive Behavior (2018) · cites this paper as Shaw et al., 2007
In the citing paper
“as well as evidence of ADHD-related underdevelopment/hypoactivation (Shaw et al., 2007; Smith et al., 2006) in right frontal/prefrontal and temporoparietal regions thought to support cross-modality binding in adults (Prabhakaran et al., 2000; Zhang et al., 2004).”
From Are Episodic Buffer Processes Intact in ADHD? Experimental Evidence and Linkage with Hyperactive Behavior (2018) · cites this paper as Shaw et al., 2007
In the citing paper
“Longitudinal fMRI evidence, however, reveals a 3–5 year delay in the development of these same prefrontal/frontal regions in children with ADHD relative to typically developing children (Shaw et al., 2007).”
From Improving Outcomes for Youth with ADHD: A Conceptual Framework for Combined Neurocognitive and Skill-Based Treatment Approaches (2014) · cites this paper as Shaw et al., 2007
In the citing paper
“longitudinal fMRI investigations reveal a 3–5 year delay in the maturation of prefrontal cortical regions associated with central executive working memory functioning (Shaw et al., 2007).”
From Improving Outcomes for Youth with ADHD: A Conceptual Framework for Combined Neurocognitive and Skill-Based Treatment Approaches (2014) · cites this paper as Shaw et al., 2007
In the citing paper
“For example, delayed peaks in cortical thickness in Attention-Deficit/Hyperactivity Disorder (ADHD) (64), a disorder associated with visuospatial WM impairments (65), lead to increased cortical thickness in ADHD during late childhood and early adolescence.”
From Influence of the COMT genotype on working memory and brain activity changes during development (2011) · cites this paper as [64]
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Citations
Cites
Mixed-Effects Models in Sand S-PLUS
Pinheiro, J. C., & Bates, D. M. (2000) · Statistics and Computing · doi:10.1007/978-1-4419-0318-1 · Cited by 11,187
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
Self-citationMesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072
Sensitive periods in the development of the brain and behavior
Knudsen, E. I. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042304796 · Cited by 1,842
Neuroscience of attention-deficit/hyperactivity disorder: the search for endophenotypes
Castellanos, F. X., & Tannock, R. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn896 · Cited by 1,827
Castellanos, F. X. (2002) · JAMA · doi:10.1001/jama.288.14.1740 · Cited by 1,646
Intellectual ability and cortical development in children and adolescents
Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543
Self-citationUnusual brain growth patterns in early life in patients with autistic disorder: An MRI study
Courchesne, E., Karns, C. M., Davis, H. R., Ziccardi, R., Carper, R. A., Tigue, Z. D., Chisum, H. J., Moses, P., Pierce, K., Lord, C., et al. (2001) · Neurology · doi:10.1212/wnl.57.2.245 · Cited by 1,487
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
Frontal lobes and human memory: Insights from functional neuroimaging
Fletcher, P. C. (2001) · Brain · doi:10.1093/brain/124.5.849 · Cited by 1,386
Sexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309
Self-citationHensch, T. K. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144327 · Cited by 1,300
Quantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder
Castellanos, F. X. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830070053009 · Cited by 1,183
Evidence of Brain Overgrowth in the First Year of Life in Autism
Courchesne, E. (2003) · JAMA · doi:10.1001/jama.290.3.337 · Cited by 1,120
Rubia, K., Overmeyer, S., Taylor, E., Brammer, M., Williams, S. C. R., Simmons, A., & Bullmore, E. T. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.6.891 · Cited by 1,010
Parasuraman, R. (1998) · Cited by 917
Rogers, R. D., Owen, A. M., Middleton, H. C., Williams, E., Pickard, J. D., Sahakian, B. J., & Robbins, T. W. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-20-09029.1999 · Cited by 882
Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI
MacDonald, D. J., Kabani, N. J., Avis, D., & Evans, A. C. (2000) · NeuroImage · doi:10.1006/nimg.1999.0534 · Cited by 850
Self-citationDiagnostic 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 831
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
Self-citationThe neural correlates of attention deficit hyperactivity disorder: an ALE meta‐analysis
Dickstein, S. G., Bannon, K., Xavier Castellanos, F., & Milham, M. P. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01671.x · Cited by 745
Filipek, P. A., Semrud-Clikeman, M., Steingard, R. J., Renshaw, P. F., Kennedy, D. N., & Biederman, J. (1997) · Neurology · doi:10.1212/wnl.48.3.589 · Cited by 732
Cortical rewiring and information storage
Chklovskii, D. B., Mel, B. W., & Svoboda, K. (2004) · Nature · doi:10.1038/nature03012 · Cited by 717
Cortical 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 715
Self-citationShaw, 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
Self-citationPatterning and plasticity of the cerebral cortex
Sur, M., & Rubenstein, J. L. R. (2005) · Science · doi:10.1126/science.1112070 · Cited by 677
Maturation of Brain Function Associated With Response Inhibition
TAMM, L., MENON, V., & REISS, A. L. (2002) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200210000-00013 · Cited by 586
Cortical abnormalities in children and adolescents with attention-deficit hyperactivity disorder
Sowell, E. R., Thompson, P. M., Welcome, S. E., Henkenius, A. L., Toga, A. W., & Peterson, B. S. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14842-8 · Cited by 567
Mann, C. A., Lubar, J. F., Zimmerman, A. W., Miller, C. A., & Muenchen, R. A. (1992) · Pediatric Neurology · doi:10.1016/0887-8994(92)90049-5 · Cited by 479
The adolescent growth spurt of boys and girls of the Harpenden Growth Study
Tanner, J. M., Whitehouse, R. H., Marubini, E., & Resele, L. (1976) · Annals of Human Biology · doi:10.1080/03014467600001231 · Cited by 466
Quantitative electroencephalographic profiles of children with attention deficit disorder
Chabot, R. J., & Serfontein, G. (1996) · Biological Psychiatry · doi:10.1016/0006-3223(95)00576-5 · Cited by 457
Decision-making in a Risk-taking Task A PET Study
Monique Ernst, D. (2002) · Neuropsychopharmacology · doi:10.1016/s0893-133x(01)00414-6 · Cited by 451
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
Focal Decline of Cortical Thickness in Alzheimer's Disease Identified by Computational Neuroanatomy
Lerch, J. P., Pruessner, J. C., Zijdenbos, A. P., Hampel, H. J., Teipel, S. J., & Evans, A. C. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh200 · Cited by 447
Self-citationBarry, R. J., Johnstone, S. J., & Clarke, A. R. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00363-2 · Cited by 434
Smaller prefrontal and premotor volumes in boys with attention-deficit/hyperactivity disorder
Mostofsky, S. H., Cooper, K. L., Kates, W. R., Denckla, M. B., & Kaufmann, W. E. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01412-9 · Cited by 379
Durston, S., Pol, H. E. H., Schnack, H. G., Buitelaar, J. K., Steenhuis, M. P., Minderaa, R. B., Kahn, R. S., & van engeland, H. (2004) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200403000-00016 · Cited by 376
Brain Metabolism in Teenagers With Attention-Deficit Hyperactivity Disorder
Zametkin, A. J. (1993) · Archives of General Psychiatry · doi:10.1001/archpsyc.1993.01820170011002 · Cited by 342
A quantitative MRI study of the corpus callosum in children and adolescents
Giedd, J. N., Rumsey, J. M., Castellanos, F. X., Rajapakse, J. C., Kaysen, D. L., Vaituzis, A. C., Vauss, Y. C., Hamburger, S. D., & Rapoport, J. L. (1996) · Developmental Brain Research · doi:10.1016/0165-3806(95)00193-x · Cited by 316
Self-citationSmith, A. B., Taylor, E., Brammer, M., Toone, B., & Rubia, K. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.6.1044 · Cited by 300
Global and regional gray matter reductions in ADHD: A voxel-based morphometric study
Carmona, S., Vilarroya, O., Bielsa, A., Trèmols, V., Soliva, J. C., Rovira, M., Tomàs, J., Raheb, C., Gispert, J. D., Batlle, S., et al. (2005) · Neuroscience Letters · doi:10.1016/j.neulet.2005.07.020 · Cited by 285
Schweitzer, J. B., Faber, T. L., Grafton, S. T., Tune, L. E., Hoffman, J. M., & Kilts, C. D. (2000) · American Journal of Psychiatry · doi:10.1176/appi.ajp.157.2.278 · Cited by 276
TAMM, L., MENON, V., RINGEL, J., & REISS, A. L. (2004) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/01.chi.0000140452.51205.8d · Cited by 272
Clinical, imaging, lesion, and genetic approaches toward a model of cognitive control
Casey, B. J., Tottenham, N., & Fossella, J. (2002) · Developmental Psychobiology · doi:10.1002/dev.10030 · Cited by 269
Conners' Teacher Rating Scale for use in drug studies with children ? An empirical study
WERRY, J. S., Sprague, R. L., & Cohen, M. N. (1976) · Research on Child and Adolescent Psychopathology · doi:10.1007/bf00916752 · Cited by 268
Animal models of attention-deficit hyperactivity disorder.
Davids, E., Zhang, K., Tarazi, F. I., & Baldessarini, R. J. (2003) · Brain Research Reviews · doi:10.1016/s0165-0173(02)00274-6 · Cited by 250
Magnetic resonance imaging correlates of attention-deficit/hyperactivity disorder in children.
Hill, D. E., Yeo, R. A., Campbell, R. A., Hart, B. L., Vigil, J., & Brooks, W. M. (2003) · Neuropsychology · doi:10.1037/0894-4105.17.3.496 · Cited by 248
Electroencephalogram differences in two subtypes of Attention-Deficit/Hyperactivity Disorder
Clarke, A. R., Barry, R. J., McCarthy, R., & Selikowitz, M. (2001) · Psychophysiology · doi:10.1111/1469-8986.3820212 · Cited by 240
Mapping cortical gray matter in the young adult brain: Effects of gender
Eileen Luders, A., Narr, K. L., Thompson, P. M., Woods, R. P., Rex, D., Jäncke, L., Steinmetz, H., & Toga, A. W. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.010 · Cited by 209
MINIMAL BRAIN DYSFUNCTION AS A NEURODEVELOPMENTAL LAG
Kinsbourne, M. (1973) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1973.tb43184.x · Cited by 172
Neurobiology of animal models of attention-deficit hyperactivity disorder
Russell, V. A. (2006) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2006.12.005 · Cited by 150
Gogtay, N., Sporn, A. L., CLASEN, L. S., Nugent, T. F., GREENSTEIN, D. K., Nicolson, R., Giedd, J. N., Lenane, M., Gochman, P., Evans, A. C., et al. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.1.17 · Cited by 146
Self-citationMotion Artifact in Magnetic Resonance Imaging: Implications for Automated Analysis
Blumenthal, J. D., Zijdenbos, A. P., Molloy, E. A., & Giedd, J. N. (2002) · NeuroImage · doi:10.1006/nimg.2002.1076 · Cited by 137
Self-citationKent, L., Green, E., Hawi, Z., Kirley, A., Dudbridge, F., Lowe, N., Raybould, R., Langley, K., Bray, N. J., Fitzgerald, M., et al. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001696 · Cited by 127
"Maturational lag" hypothesis of attention deficit hyperactivity disorder: an update
El-Sayed, E., J-O, L., Persson, H. E., Santosh, P., & Rydelius, P. (2003) · Acta Paediatrica · doi:10.1111/j.1651-2227.2003.tb02531.x · Cited by 98
A Lifetime Asymptotic Growth Curve for Human Height
Jolicoeur, P., Pontier, J., Pernin, M.-O., & Sempe, M. (1988) · Biometrics · doi:10.2307/2531730 · Cited by 97
EEG abnormalities in adolescent males with AD/HD
Hobbs, M. J., Clarke, A. R., Barry, R. J., McCarthy, R., & Selikowitz, M. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.10.013 · Cited by 85
An investigation of the neurotrophic factor genes GDNF, NGF, and NT3 in susceptibility to ADHD
Syed, Z., Dudbridge, F., & Kent, L. (2006) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30459 · Cited by 60
Shifting-Related Brain Magnetic Activity in Attention-Deficit/Hyperactivity Disorder
Mulas, F., Capilla, A., Fernández, S., Etchepareborda, M. C., Campo, P., Maestú, F., Fernández, A., Castellanos, F. X., & Ortiz, T. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.06.031 · Cited by 58
Technetium-99m HMPAO brain SPECT in children with attention deficit hyperactivity disorder
Kaya, G. Ç., Akay, A. P., Bekiş, R., Ada, E., Miral, S., Emiroĝlu, N., & Durak, H. (2002) · Annals of Nuclear Medicine · doi:10.1007/bf02988629 · Cited by 37
Hyperactivity and Attention Deficit Disorder
SCOTT, J. (2007) · Elsevier eBooks · doi:10.1016/b978-044310181-6.50029-3 · Cited by 16
Effects of Glucose on Blood Pressure and Production of Vascular Aldosterone and Corticosterone
Zhang, Y., Chu, L., Yu, W., & Pang, J. (2004) · Hormone Research in Paediatrics · doi:10.1159/000077291 · Cited by 10
Huttenlocher (1997) · doi:10.1002/(sici)1096-9861(19971020)387:2
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Metadata
- Authors
- Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J. P., Greenstein, D., Clasen, L., Evans, A., Giedd, J., & Rapoport, J. L.
- Affiliations
- National Institutes of Health (US)
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Shaw, P.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-12-04
- Volume
- 104
- Issue
- 49
- Pages
- 19649-19654
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2148343
- OpenAlex
- W2156645869
- Cited by
- 1,819
- References
- 63
- Citations by year
- 2026: 90 · 2025: 89 · 2024: 97 · 2023: 83 · 2022: 89 · 2021: 93 · 2020: 101 · 2019: 115 · 2018: 73 · 2017: 134 · 2016: 114 · 2015: 107 · 2014: 112 · 2013: 100 · 2012: 111
- FWCI
- 41.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- 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
- attention deficit hyperactivity disorder, cortical maturation, cortical thickness, brain development, prefrontal cortex
- MeSH terms
- Adolescent, Attention Deficit Disorder with Hyperactivity, Cerebral Cortex, Child, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male
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