The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Development of Cortical Asymmetry in Typically Developing Children and Its Disruption in Attention-Deficit/Hyperactivity Disorder
Open accessAbstract
CONTEXT: Just as typical development of anatomical asymmetries in the human brain has been linked with normal lateralization of motor and cognitive functions, disruption of asymmetry has been implicated in the pathogenesis of neurodevelopmental disorders such as attention-deficit/hyperactivity disorder (ADHD). No study has examined the development of cortical asymmetry using longitudinal neuroanatomical data. OBJECTIVE: To delineate the development of cortical asymmetry in children with and without ADHD. DESIGN: Longitudinal study. SETTING: Government Clinical Research Institute. PARTICIPANTS: A total of 218 children with ADHD and 358 typically developing children, from whom 1133 neuroanatomical magnetic resonance images were acquired prospectively. MAIN OUTCOME MEASURES: Cortical thickness was estimated at 40 962 homologous points in the left and right hemispheres, and the trajectory of change in asymmetry was defined using mixed-model regression. RESULTS: In right-handed typically developing individuals, a mean (SE) increase in the relative thickness of the right orbitofrontal and inferior frontal cortex with age of 0.011 (0.0018) mm per year (t(337) = 6.2, P < .001) was balanced against a relative left-hemispheric increase in the occipital cortical regions of 0.013 (0.0015) mm per year (t(337) = 8.1, P < .001). Age-related change in asymmetry in non-right-handed typically developing individuals was less extensive and was localized to different cortical regions. In ADHD, the posterior component of this evolving asymmetry was intact, but the prefrontal component was lost. CONCLUSIONS: These findings explain the way that, in typical development, the increased dimensions of the right frontal and left occipital cortical regions emerge in adulthood from the reversed pattern of childhood cortical asymmetries. Loss of the prefrontal component of this evolving asymmetry in ADHD is compatible with disruption of prefrontal function in the disorder and demonstrates the way that disruption of typical processes of asymmetry can inform our understanding of neurodevelopmental disorders.
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?
The cited source says what the claim attributes to it.
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., 2009
The cited source says what the claim attributes to it.
In the citing paper
“ADHD is associated with altered development of the right inferior PFC (Shaw et al., 2009)”
From Guanfacine’s mechanism of action in treating prefrontal cortical disorders: Successful translation across species (2020) · cites this paper as Shaw et al., 2009
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
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604
Self-citationA Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
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
Self-citationCastellanos, 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-citationQuantitative 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 · cited 1×
“Head placement was standardized as previously described.(30) The same scanner was used throughout the study.”
MethodGur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P., & Gur, R. E. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-10-04065.1999 · Cited by 909
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
Research works printed but not linked: 71
- [1]Toga AW Thompson PM Mapping brain asymmetry Nat Rev Neurosci 2003 4 1 37 48 12511860
- [2]Galaburda AM LeMay M Kemper TL Geschwind N Right-left asymmetrics in the brain Science 1978 199 4331 852 856 341314
- [3]Crow TJ Schizophrenia as failure of hemispheric dominance for language Trends Neurosci 1997 20 8 339 343 9246721
- [4]Herbert MR Ziegler DA Deutsch CK O'Brien LM Kennedy DN Filipek PA Bakard-jiev AI Hodgson J Takeoka M Makris N Caviness VS Jr Brain asymmetries in autism and developmental language disorder: a nested whole-brain analysis Brain 2005 128 pt 1 213 226 15563515
- [5]Rubia K Overmeyer S Taylor E Brammer M Williams SC Simmons A Andrew C Bullmore ET Functional frontalisation with age: mapping neurodevelopmental trajectories with fMRI Neurosci Biobehav Rev 2000 24 1 13 19 10654655
- [6]Le May M Kido DK Asymmetries of the cerebral hemispheres on computed tomograms J Comput Assist Tomogr 1978 2 4 471 476 708500
- [7]Bilder RM Wu H Bogerts B Degreef G Ashtari M Alvir JM Snyder PJ Lieberman JA Absence of regional hemispheric volume asymmetries in first-episode schizophrenia Am J Psychiatry 1994 151 10 1437 1447 8092337
- [8]Bear D Schiff D Saver J Greenberg M Freeman R Quantitative analysis of cerebral asymmetries: fronto-occipital correlation, sexual dimorphism, and association with handedness Arch Neurol 1986 43 6 598 603 3718289
- [10]Watkins KE Paus T Lerch JP Zijdenbos A Collins DL Neelin P Taylor J Worsley KJ Evans AC Structural asymmetries in the human brain: a voxel-based statistical analysis of 142 MRI scans Cereb Cortex 2001 11 9 868 877 11532891
- [11]LeMay M Morphological cerebral asymmetries of modern man, fossil man, and nonhuman primate Ann N Y Acad Sci 1976 280 349 366 827951
- [12]Giedd JN Snell JW Lange N Rajapakse JC Casey BJ Kozuch PL Vaituzis AC Vauss YC Hamburger SD Kaysen D Rapoport JL Quantitative magnetic resonance imaging of human brain development: ages 4-18 Cereb Cortex 1996 6 4 551 560 8670681
- [13]Reiss AL Abrams MT Singer HS Ross JL Denckla MB Brain development, gender and IQ in children: a volumetric imaging study Brain 1996 119 pt 5 1763 1774 8931596
- [14]Matsuzawa J Matsui M Konishi T Noguchi K Gur RC Bilker W Miyawaki T Age-related volumetric changes of brain gray and white matter in healthy infants and children Cereb Cortex 2001 11 4 335 342 11278196
- [15]Gilmore JH Lin W Prastawa MW Looney CB Vetsa YSK Knickmeyer RC Evans DD Smith JK Hamer RM Lieberman JA Gerig G Regional gray matter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain J Neurosci 2007 27 6 1255 1260 17287499 PMC2886661
- [16]Woods RP Dodrill CB Ojemann GA Brain injury, handedness, and speech lateralization in a series of amobarbital studies Ann Neurol 1988 23 5 510 518 3389757
- [17]Narr KL Bilder RM Luders E Thompson PM Woods RP Robinson D Szeszko PR Dimtcheva T Gurbani M Toga AW Asymmetries of cortical shape: effects of handedness, sex and schizophrenia Neuroimage 2007 34 3 939 948 17166743 PMC3299195
- [19]Shapleske J Rossell SL Woodruff PW David AS The planum temporale: a systematic, quantitative review of its structural, functional and clinical significance Brain Res Brain Res Rev 1999 29 1 26 49 9974150
- [20]Barrick TR Mackay CE Prima S Maes F Vandermeulen D Crow TJ Roberts N Automatic analysis of cerebral asymmetry: an exploratory study of the relationship between brain torque and planum temporale asymmetry Neuroimage 2005 24 3 678 691 15652303
- [21]Geschwind N Levitsky W Human brain: left-right asymmetries in temporal speech region Science 1968 161 837 186 187 5657070
- [22]Steinmetz H Structure, functional and cerebral asymmetry: in vivo morphometry of the planum temporale Neurosci Biobehav Rev 1996 20 4 587 591 8994197
- [23]Foundas AL Eure KF Luevano LF Weinberger DR MRI asymmetries of Broca's area: the pars triangularis and pars opercularis Brain Lang 1998 64 3 282 296 9743543
- [24]Falzi G Perrone P Vignolo LA Right-left asymmetry in anterior speech region Arch Neurol 1982 39 4 239 240 7073534
- [25]Luders E Narr KL Thompson PM Rex DE Jancke L Toga AW Hemispheric asymmetries in cortical thickness Cereb Cortex 2006 16 8 1232 1238 16267139
- [26]Amunts K Schlaug G Schleicher A Steinmetz H Dabringhaus A Roland PE Zilles K Asymmetry in the human motor cortex and handedness Neuroimage 1996 4 3, pt 1 216 222 9345512
- [27]McManus IC Bryden MP Geschwind's theory of cerberal lateralization: developing a formal, causal model Psychol Bull 1991 110 2 237 253 1946868
- [28]Geschwind DH Miller BL DeCarli C Carmelli D Heritability of lobar brain volumes in twins supports genetic models of cerebral laterality and handedness Proc Natl Acad Sci U S A 2002 99 5 3176 3181 11867730 PMC122492
- [29]Annett M Handedness in the children of two left-handed parents Br J Psychol 1974 65 1 129 131 4822769
- [32]Rubia K Smith AB Brammer MJ Toone B Taylor E Abnormal brain activation during inhibition and error detection in medication-naive adolescents with ADHD Am J Psychiatry 2005 162 6 1067 1075 15930054
- [33]Langleben DD Austin G Krikorian G Ridlehuber HW Goris ML Strauss HW Interhemispheric asymmetry of regional cerebral blood flow in prepubescent boys with attention deficit hyperactivity disorder Nucl Med Commun 2001 22 12 1333 1340 11711904
- [34]Shaw P Lerch JP Pruessner JC Taylor KN Rose AB Greenstein D Clasen L Evans A Rapoport JL Giedd JN Cortical morphology in children and adolescents with different apolipoprotein E gene polymorphisms: an observational study Lancet Neurol 2007 6 6 494 500 17509484
- [35]Giedd JN Blumenthal J Jeffries NO Castellanos FX Liu H Zijdenbos A Paus T Evans AC Rapoport JL Brain development during childhood and adolescence: a longitudinal MRI study Nat Neurosci 1999 2 10 861 863 10491603
- [37]Denckla MB Revised neurological examination for subtle signs Psychopharmacol Bull 1985 21 4 773 800 4089106
- [38]Shaw P Eckstrand K Sharp W Blumenthal J Lerch JP Greenstein D Clasen L Evans A Giedd J Rapoport JL Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation Proc Natl Acad Sci U S A 2007 104 49 19649 19654 18024590 PMC2148343
- [39]Shaw P Lerch J Greenstein D Sharp W Clasen L Evans A Giedd J Castellanos FX Rapoport J Longitudinal mapping of cortical thickness and clinical outcome in children and adolescents with attention-deficit /hyperactivity disorder Arch Gen Psychiatry 2006 63 5 540 549 16651511
- [41]Reich W Diagnostic Interview for Children and Adolescents (DICA) J Am Acad Child Adolesc Psychiatry 2000 39 1 59 66 10638068
- [42]Werry JS Sprague RL Cohen MN Conners' Teacher Rating Scale for use in drug studies with children: an empirical study J Abnorm Child Psychol 1975 3 3 217 229 1214032
- [44]Smith SM Fast robust automated brain extraction Hum Brain Mapp 2002 17 3 143 155 12391568 PMC6871816
- [45]Grabner G Janke AL Budge MM Smith D Pruessner J Collins DL Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 2006 9 pt 2 58 66 17354756
- [47]Sled JG Zijdenbos AP Evans AC A nonparametric method for automatic correction of intensity nonuniformity in MRI data IEEE Trans Med Imaging 1998 17 1 87 97 9617910
- [48]Zijdenbos AP Forghani R Evans AC Automatic “pipeline” analysis of 3-D MRI data for clinical trials: application to multiple sclerosis IEEE Trans Med Imaging 2002 21 10 1280 1291 12585710
- [49]Tohka J Zijdenbos A Evans A Fast and robust parameter estimation for statistical partial volume models in brain MRI Neuroimage 2004 23 1 84 97 15325355
- [50]Kim JS Singh V Lee JK Lerch J Ad-Dab'bagh Y MacDonald D Lee JM Kim SI Evans AC Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification Neuroimage 2005 27 1 210 221 15896981
- [51]MacDonald D Kabani N Avis D Evans AC Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI Neuroimage 2000 12 3 340 356 10944416
- [52]Robbins S Evans AC Collins DL Whitesides S Tuning and comparing spatial normalization methods Med Image Anal 2004 8 3 311 323 15450225
- [53]Lyttelton O Boucher M Robbins S Evans A An unbiased iterative group registration template for cortical surface analysis Neuroimage 2007 34 4 1535 1544 17188895
- [54]Chung MK Worsley KJ Robbins S Paus T Taylor J Giedd JN Rapoport JL Evans AC Deformation-based surface morphometry applied to gray matter deformation Neuroimage 2003 18 2 198 213 12595176
- [55]Lerch JP Evans AC Cortical thickness analysis examined through power analysis and a population simulation Neuroimage 2005 24 1 163 173 15588607
- [56]Lee JK Lee JM Kim JS Kim IY Evans AC Kim SI A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom Neuroimage 2006 31 2 572 584 16503170
- [57]Singh V Chertkow H Lerch JP Evans AC Dorr AE Kabani NJ Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer's disease Brain 2006 129 pt 11 2885 2893 17008332
- [58]Pinheiro JC Bates DM Mixed-Effects Models in S and S-PLUS New York, NY Springer Publishing Company 2000
- [59]Genovese CR Lazar NA Nichols T Thresholding of statistical maps in functional neuroimaging using the false discovery rate Neuroimage 2002 15 4 870 878 11906227
- [61]Lancaster JL Kochunov PV Thompson PM Toga AW Fox PT Asymmetry of the brain surface from deformation field analysis Hum Brain Mapp 2003 19 2 79 89 12768532 PMC6872049
- [63]Lu L Leonard CM Thompson PM Kan E Jolley J Welcome SE Toga AW Sowell ER Normal developmental changes in inferior frontal gray matter are associated with improvement in phonological processing: a longitudinal MRI analysis Cereb Cortex 2007 17 5 1092 1099 16782757
- [64]O'Donnell S Noseworthy MD Levine B Dennis M Cortical thickness of the frontopolar area in typically developing children and adolescents Neuroimage 2005 24 4 948 954 15670671
- [65]Sowell ER Peterson BS Thompson PM Welcome SE Henkenius AL Toga AW Mapping cortical change across the human life span Nat Neurosci 2003 6 3 309 315 12548289
- [66]Sowell ER Thompson PM Leonard CM Welcome SE Kan E Toga AW Longitudinal mapping of cortical thickness and brain growth in normal children J Neurosci 2004 24 38 8223 8231 15385605 PMC6729679
- [67]Thompson-Schill SL Bedny M Goldberg RF The frontal lobes and the regulation of mental activity Curr Opin Neurobiol 2005 15 2 219 224 15831406
- [68]Rubia K Smith AB Taylor E Brammer M Linear age-correlated functional development of right inferior fronto-striato-cerebellar networks during response inhibition and anterior cingulate during error-related processes Hum Brain Mapp 2007 28 11 1163 1177 17538951 PMC6871440
- [69]Aron AR Robbins TW Poldrack RA Inhibition and the right inferior frontal cortex Trends Cogn Sci 2004 8 4 170 177 15050513
- [70]Aron AR Poldrack RA The cognitive neuroscience of response inhibition: relevance for genetic research in attention-deficit/hyperactivity disorder Biol Psychiatry 2005 57 11 1285 1292 15950000
- [71]Vallortigara G Rogers LJ Survival with an asymmetrical brain: advantages and disadvantages of cerebral lateralization Behav Brain Sci 2005 28 4 575 589 discussion 589-633 16209828
- [72]Melsbach G Wohlschlager A Spiess M Gunturkun O Morphological asymmetries of motoneurons innervating upper extremities: clues to the anatomical foundations of handedness? Int J Neurosci 1996 86 3-4 217 224 8884392
- [73]Amunts K Jancke L Mohlberg H Steinmetz H Zilles K Interhemispheric asymmetry of the human motor cortex related to handedness and gender Neuropsychologia 2000 38 3 304 312 10678696
- [74]Zilles K Dabringhaus A Geyer S Amunts K Qu M Schleicher A Gilissen E Schlaug G Steinmetz H Structural asymmetries in the human forebrain and the forebrain of non-human primates and rats Neurosci Biobehav Rev 1996 20 4 593 605 8994198
- [75]McManus IC Bryden MP Geschwind's theory of cerebral lateralization: developing a formal, causal model Psychol Bull 1991 110 2 237 253 1946868
- [76]Sun T Patoine C Abu-Khalil A Visvader J Sum E Cherry TJ Orkin SH Geschwind DH Walsh CA Early asymmetry of gene transcription in embryonic human left and right cerebral cortex Science 2005 308 5729 1794 1798 15894532 PMC2756725
- [77]Luders E Gaser C Jancke L Schlaug G A voxel-based approach to gray matter asymmetries Neuroimage 2004 22 2 656 664 15193594
- [78]Smith AB Taylor E Brammer M Toone B Rubia K Task-specific hypoactivation in prefrontal and temporoparietal brain regions during motor inhibition and task switching in medication-naive children and adolescents with attention deficit hyperactivity disorder Am J Psychiatry 2006 163 6 1044 1051 16741205
- [79]Garrett A Penniman L Epstein J Casey BJ Hinshaw SP Glover GP Tonev SP Vitolo AP Davidson MPD Spicer JBA Greenhill LL Reiss AL Neuroanatomical abnormalities in adolescents with attention-deficit /hyperactivity disorder J Am Acad Child Adolesc Psychiatry 2008 47 11 1321 1328 18827721 PMC2644065
- [80]Glicksohn J Myslobodsky MS The representation of patterns of structural brain asymmetry in normal individuals Neuropsychologia 1993 31 2 145 159 8455784
- [81]Shaw P Sharp WS Morrison M Eckstrand K Greenstein DK Clasen LS Evans AC Rapoport JL Psychostimulant treatment and the developing cortex in attention deficit hyperactivity disorder Am J Psychiatry 2009 166 1 58 63 18794206 PMC2700349
Cited by
Sorted by citations
Items 101–200 of 227
Imai, N., Sawada, K., Fukunishi, K., Sakata-Haga, H., & Fukui, Y. (2011) · Congenital Anomalies · doi:10.1111/j.1741-4520.2011.00330.x · Cited by 26
“In humans, the lateralization pattern of the cerebral cortical thickness is similar for both sexes, while there are some regional asymmetry increases in men (Hamilton et al. 2007; Shaw et al. 2009).”
BackgroundSotardi, S., Gollub, R., Bates, S. V., Weiss, R. J., Murphy, S., Grant, P., & Ou, Y. (2020) · Radiology · doi:10.1148/radiol.2020202279 · Cited by 25
Neuroimagen en el trastorno por déficit de atención/hiperactividad
MartínFernández-Mayoralas, D., Jaén, A. F., Segura, J., & Tapia, D. Q. (2010) · doi:10.33588/rn.50s03.2009762 · Cited by 25
“Estos mismos autores examinaron recientemente el desarrollo de asimetrías corticales en 218 niños con TDAH y 358 controles [39].”
BackgroundBerridge, C., & Arnsten, A. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.01.002 · Cited by 24
Decreased resting gamma activity in adult attention deficit/hyperactivity disorder
Tombor, L., Kakuszi, B., Papp, S., Réthelyi, J., Bitter, I., & Czobor, P. (2018) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2018.1441547 · Cited by 32
“Findings of right hemispheric involvement in ADHD are further supported by structural and (Narr et al. 2009; Shaw et al. 2009; Proal et al. 2011; Shaw et al. 2011; Ducharme et al. 2012) functional (see Cubillo et al.”
BackgroundConnor, D., Arnsten, A., Pearson, G., & Greco, G. F. (2014) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.2014.930437 · Cited by 23
“Neuroimaging studies have shown delayed [14] or inadequate [15] maturation of the prefrontal cortex (PFC) in ADHD, particularly in the right inferior regions needed for inhibitory control (Figure 1A).”
BackgroundRoe, J. M., Vidal-Piñeiro, D., Amlien, I., Pan, M., Sneve, M., de Schotten, M. T., Friedrich, P., Sha, Z., Francks, C., Wang, Y.-P., et al. (2021) · bioRxiv · doi:10.1101/2021.11.25.469988 · Cited by 22
Mukherjee, P., Vilgis, V., Rhoads, S. A., Chahal, R., Fassbender, C., Leibenluft, E., Dixon, J. F., Pakyurek, M., van den Bos, W., Hinshaw, S., et al. (2021) · Journal of Attention Disorders · doi:10.1177/10870547211057074 · Cited by 22
“…formally test laterality differences, atypical asymmetry in brain structure and function is a common observation in ADHD (Langleben et al., 2001; Shaw et al., 2009; Silk et al., 2016) and has also been implicated in the neurobiology of irritability (Althoff et al., 2017; Chaarani et al., 2020);…”
Poza-Rey, E., Lozano, M., & Arsuaga, J. (2017) · doi:10.1016/j.quaint.2015.10.004 · Cited by 21
Brain cortical thickness in male adolescents with serious substance use and conduct problems
Chumachenko, S. Y., Sakai, J. T., Dalwani, M. S., Mikulich‐Gilbertson, S. K., Dunn, R., Tanabe, J., Young, S. E., McWilliams, S. K., Banich, M. T., & Crowley, T. J. (2015) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2015.1058389 · Cited by 20
“Meanwhile, others have shown that the effacement of R4L frontal volume differences in psychiatric disorders (56,59).”
BackgroundInfluentialCortical asymmetries in unaffected siblings of patients with obsessive–compulsive disorder
Peng, Z., Li, G., Shi, F., Shi, C., Yang, Q., Chan, R. C. K., & Shen, D. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.10.005 · Cited by 18
“, 2005), and attention-deficit/hyperactivity disorder (ADHD) (Shaw et al., 2009).”
BackgroundNishitomi, K., Yano, K., Kobayashi, M., Jino, K., Kano, T., Horiguchi, N., Shinohara, S., & Hasegawa, M. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.022 · Cited by 20
“Notably, the prefrontal region essential for impulse control is under-developed and underactive in people with ADHD [25].”
BackgroundEffect of stress on structural brain asymmetry.
Zach, P., Valeš, K., Stuchlík, A., Čermaková, P., Mrzílková, J., Koutela, A., & Kutová, M. (2016) · Neuro - endocrinology letters · doi:10.4172/2378-5756-c6-049 · Cited by 18
“Agerelated change in asymmetry in non-right-handed typically developing individuals was less extensive and was localized to different cortical regions, including medial prefrontal cortex, lateral frontal gyri and supratemporal gyri in parietal lobe (Shaw et al. 2009).”
BackgroundKurth, F., Schijven, D., van den Heuvel, O. A., Hoogman, M., van Rooij, D., Stein, D. J., Buitelaar, J., Bölte, S., Auzias, G., Kushki, A., et al. (2024) · Human Brain Mapping · doi:10.1002/hbm.26754 · Cited by 17
“…studies with an explicit focus on childhood and adolescence have resulted in inconsistent findings or in findings restricted to a particular brain region, a specific brain feature, or a relatively narrow age range (Levman et al., 2017; Raja et al., 2021; Shaw et al., 2009; Wang et al., 2015).”
Growth charts of brain morphometry for preschool children
Zhang, H., Li, J., Su, X., Hu, Y., Liu, T., Ni, S., Li, H., Zuo, X., Fu, J., Yuan, T., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119178 · Cited by 28
“, 2007), and altered hemisphere asymmetry (Shaw et al., 2009);”
Kroll, D. S., Feldman, D. E., Wang, S.-Y., Zhang, R., Manza, P., Wiers, C. E., Volkow, N. D., & Wang, G. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.117099 · Cited by 22
Dynamics of Brain Structure and its Genetic Architecture over the LifespanPreprint
Brouwer, R., Klein, M., Grasby, K., Schnack, H., Jahanshad, N., Teeuw, J., Thomopoulos, S., Sprooten, E., Franz, C., Gogtay, N., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.24.031138 · Cited by 17
Self-citationAge-dynamic networks and functional correlation for early white matter myelination
Dai, X., Müller, H., Wang, J.-L., & Deoni, S. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1785-z · Cited by 17
Liu, C.-Y., Li, Y., Viding, E. M., Asherson, P. J., & Pingault, J. (2018) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-018-1200-6 · Cited by 16
Brain asymmetry: both sides of the story
SAMARA, A. A., & Tsangaris, G. T. (2011) · Expert Review of Proteomics · doi:10.1586/epr.11.62 · Cited by 21
Sex differences in the correlation of emotional control and amygdala volumes in adolescents
Blanton, R., Chaplin, T., & Sinha, R. (2010) · NeuroReport · doi:10.1097/wnr.0b013e32833e7866 · Cited by 17
“Indeed, the improvements in affective regulation and identification of emotional cues occur during the transition of adolescence [3] and are thought to involve the maturation of orbitofrontal [4] and dorsolateral areas of the frontal lobe [5].”
Li, Q.-Q., Zhao, W., Palaniyappan, L., & Guo, S.-X. (2023) · Psychological Medicine · doi:10.1017/s0033291723000181 · Cited by 16
“For each of the three regional measures (GMV, fALFF, and ReHo), the AI was defined as follows (Shaw et al., 2009): where L and R represent the left and right regional measures, respectively.”
BackgroundMethodInfluentialAnalysis of structural brain asymmetries in Attention-Deficit/Hyperactivity Disorder in 39 datasets
Postema, M., Hoogman, M., Glahn, D., Jahanshad, N., Medland, S., Thompson, P., Fisher, S., Franke, B., & Francks, C. (2020) · bioRxiv · doi:10.1101/2020.03.03.974758 · Cited by 16
Fung, L. K., & Reiss, A. L. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.015 · Cited by 17
“In parallel, other groups have also conducted longitudinal neuroimaging studies in neuropsychiatric populations – attention-deficit/ hyperactivity disorder (77), schizophrenia (78), autism (79).”
Psychotic symptoms and Gray Matter Deficits In Clinical Pediatric Populations
Gogtay, N., Weisinger, B., Bakalar, J. L., Stidd, R., de la Vega, O. F., Miller, R., Clasen, L., Greenstein, D., & Rapoport, J. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2012.07.006 · Cited by 16
“Image analyses were done using a fully automated, validated cortical surface extraction pipeline (Shaw et al., 2009).”
MethodSelf-citationADHD: Volumetry, Motor, and Oculomotor Functions
Mahone, E. M. (2011) · Current topics in behavioral neurosciences · doi:10.1007/7854_2011_146 · Cited by 17
“Different longitudinal patterns of change with regard to cortical asymmetry have also been identified in ADHD (Shaw et al. 2009a).”
BackgroundLiao, Z., Banaschewski, T., Bokde, A. L. W., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P. A., Heinz, A., Ittermann, B., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2306990120 · Cited by 14
Altered brain white matter microstructural asymmetry in children with ADHD
Wu, Z.-M., Wang, P., Yang, L., Liu, L., Sun, L., Li, A., Cao, Q., Chan, R. C. K., Yang, B., & Wang, Y. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112817 · Cited by 16
Pilot Study: An Ocular Biomarker for Diagnosis of Attention Deficit Hyperactivity Disorder
Bae, S., Kim, J., Han, J.-M., & Han, D. (2019) · Psychiatry Investigation · doi:10.30773/pi.2019.02.26.1 · Cited by 15
Creze, M., Versheure, L., Besson, P., Sauvage, C., Leclerc, X., & Jissendi‐Tchofo, P. (2014) · Human Brain Mapping · doi:10.1002/hbm.22369 · Cited by 14
Cajachagua‐Torres, K. N., Quezada‐Pinedo, H. G., Wu, T., Trasande, L., & Ghassabian, A. (2024) · Current Environmental Health Reports · doi:10.1007/s40572-024-00457-4 · Cited by 16
“Measurement of exposure (whether through measurements of EDCs or their metabolites in biospecimens, or in the air) in different windows of brain development allows identification of periods of susceptibility [9, 10, 68].”
BackgroundPilli, V. K., Jeong, J.-W., Konka, P., Kumar, A., Chugani, H., & Juhász, C. (2018) · Human Brain Mapping · doi:10.1002/hbm.24354 · Cited by 14
“MRI studies of cortical hemispheric structural asymmetries in the developing brain demonstrated increasing structural asymmetries as the child grows older, with continuing changes throughout adolescence extending into adulthood (Plessen, Hugdahl, Bansal, Hao, & Peterson, 2014; Shaw et al., 2009; Zhou, Lebel, Evans, &…”
BackgroundInfluentialde Araújo, C. M., Zugman, A., Swardfager, W., Belangero, S. I., Ota, V., Spíndola, L., Hakonarson, H. H., Pellegrino, R., Gadelha, A., Salum, G. A., et al. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.12.008 · Cited by 15
Decreased Cortical Thickness in Central Hypoventilation Syndrome
Macey, P. M., Moiyadi, A. S., Kumar, R., Woo, M. A., & Harper, R. M. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr235 · Cited by 15
Laterality, hand control and scholastic performance: a British birth cohort study
Björk, T., Brus, O., Osika, W., & Montgomery, S. (2012) · BMJ Open · doi:10.1136/bmjopen-2011-000314 · Cited by 15
Brainnetome atlas of preadolescent children based on anatomical connectivity profiles
Li, W., Fan, L., Shi, W., Lu, Y., Li, J., Luo, N., Wang, H., Chu, C., Ma, L., Song, M., et al. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac415 · Cited by 17
“Abnormal asymmetries have been reported that that are associated with a range of psychiatric disorders, such as attention deficit hyperactivity disorder (ADHD; Shaw et al. 2009), autism spectrum disorder (ASD; Herbert et al.”
BackgroundDaneshvarfard, F., Moghaddam, H. A., Dehaene-Lambertz, G., Kongolo, G., Wallois, F., & Mahmoudzadeh, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-47064-0 · Cited by 13
Brain asymmetry in cortical thickness is correlated with cognitive function
Chen, C., & Omiya, Y. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00877 · Cited by 13
“It revealed that the developmental thickness of the lefthemispheric posterior temporo-occipital region, first discovered in young children through to older adolescents (Shaw et al., 2009), may well persist into older adulthood.”
BackgroundWhat is special about the adolescent (JME) brain?
Craiu, D. (2013) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.12.008 · Cited by 12
“Aberrant thalamocortical circuitry may be associated with impairment of complex cognitive functioning or neuro-psychiatric disorders [78–80] or may create the bases for the development of epilepsy.”
Bakalar, J. L., GREENSTEIN, D. K., CLASEN, L. S., Tossell, J. W., Miller, R., Evans, A. C., Mattai, A. A., Rapoport, J. L., & Gogtay, N. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2009.07.026 · Cited by 15
Self-citationWeisinger, B., GREENSTEIN, D. K., Mattai, A. A., CLASEN, L. S., Lalonde, F. M., Feldman, S. J., Miller, R., Tossell, J. W., Vyas, N. S., Stidd, R., et al. (2011) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr049 · Cited by 17
Self-citationDyakin, V. V., Lucas, J., Dyakina‐Fagnano, N. V., & Posner, E. V. (2017) · Neurology and Neuroscience Research · doi:10.24983/scitemed.nnr.2017.00028 · Cited by 15
“Third-the left-right asymmetry in cortical thickness (right biased in frontal and left biased in parietal regions [220-222].”
BackgroundmicroRNA function in left-right neuronal asymmetry: perspectives from C. elegans
Alqadah, A., Hsieh, Y.-W., & Chuang, C. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00158 · Cited by 12
Inhibitory Control and Drug Abuse Prevention
Bardo, M. T., Fishbein, D. H., & Milich, R. S. (2011) · Springer eBooks · doi:10.1007/978-1-4419-1268-8 · Cited by 66
Li, H., Guo, W., 聂启文, Wang, Z., & Li, H. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1690302 · Cited by 8
“Postmortem and MRI morphometric studies confirm that the right hemisphere contains a significantly higher density of VENs than the left (Shaw et al., 2009; Watkins et al., 2001).”
Jia, C., Ou, Y., Chen, Y.-H., Ma, J., Zhan, C., Lv, D., Yang, R., Shang, T., Sun, L., Wang, Y.-H., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.634557 · Cited by 11
Brain Activity in ADHD Patients Performing the Counting Stroop Task: A Social Neuroscience Approach
Mercadillo, R. E., Trujillo, C., Sánchez-Cortazar, J., & Barrios, F. A. (2012) · Psychological Reports · doi:10.2466/15.10.19.pr0.111.5.652-668 · Cited by 7
Non-right-handedness in adolescents and adults with bipolar disorder
van Dyck, L., Pittman, B. P., & Blumberg, H. P. (2012) · Bipolar Disorders · doi:10.1111/j.1399-5618.2012.01037.x · Cited by 11
Short, S. J., Lubach, G. R., Shirtcliff, E. A., Styner, M. A., Gilmore, J. H., & Coe, C. L. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.05.002 · Cited by 9
“, 2006) and attention deficit disorder (Shaw et al., 2009), which present with an atypical level of cerebral symmetry, both globally and in specific cortical regions.”
BackgroundRegional cerebral activity abnormality in pregnant women with antenatal depression
Cheng, B., Wang, X., Zhou, Y., Li, J., Zhao, Y., Xia, S., Zuo, Y., Meng, Y., Deng, W., Guo, Y., et al. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.107 · Cited by 10
Jussila, M., Saarenpää‐Heikkilä, O., Huupponen, E., Lapinlampi, A.-M., Penttala, J., & Himanen, S. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.02.016 · Cited by 10
“In addition, all our subjects were right-handed, and thus their left hemisphere would be the dominant one, which enabled the study of local EEG differences (Shaw et al., 2009; Dehaene-Lambertz et al., 2002; Szaflarski et al., 2012).”
BackgroundOs equívocos e acertos da campanha "Nao a Medicalizacao da Vida"
Frias, L., & Júlio-Costa, A. (2013) · doi:10.5327/z1982-1247201300010002 · Cited by 9
“Uma série de características cognitivas e comportamentais tem sido apontada de forma consistente como presente em indivíduos como TDAH, tais como déficits nas funções executivas (Barkley, 2012), aversão ao atraso (Sonuga-Barke, Sergeant, Nigg & Willcutt, 2008), dificuldades em postergar recompensas (Scheres, Tontsch &…”
BackgroundInfluentialHow Asymmetries Evolved: Hearts, Brains, and Molecules
Corballis, M. (2021) · Symmetry · doi:10.3390/sym13060914 · Cited by 9
“Earlier studies had shown direct associations of cerebral asymmetry with dyslexia [94], Alzheimer’s disease (e.g., [95], ADHD [96], and depression [97].”
Sacks, D. D., Schwenn, P., Boyes, A., Mills, L., Driver, C., Gatt, J. M., Lagopoulos, J., & Hermens, D. F. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad099 · Cited by 8
Developmental shift in testosterone influence on prefrontal emotion control
Tyborowska, A., Volman, I., Niermann, H., Dapprich, A. L., Smeekens, S., Cillessen, A., Toni, I., & Roelofs, K. (2022) · bioRxiv · doi:10.1101/2022.09.02.505577 · Cited by 8
“…of right prefrontal lateralization, arethoughtounderliethespecializationofspecificcognitivefunctions in healthy, typically developing individuals (Shaw et al., 2009; Zhou et al., 2013) Thebehavioralregulationofsocialemotionalactionswasreplicated over all time-points, but was not coupled with…”
BackgroundLongarzo, M., Cavaliere, C., Alfano, V., Mele, G., Salvatore, M., & Aiello, M. (2020) · Neural Plasticity · doi:10.1155/2020/4838291 · Cited by 10
“[9] found increasing asymmetry in posterior temporooccipital areas due to reduced volume of prefrontal regions, and Dang et al.”
BackgroundNormal brain metabolism on FDG PET/MRI during childhood and adolescence
Barber, T. W., Veysey, D., Billah, B., & Francis, P. (2018) · Nuclear medicine communications · doi:10.1097/mnm.0000000000000912 · Cited by 8
Development of Neural Networks Supporting Goal‐Directed Behavior
Johnson, E. L., Munro, S. E., & Bunge, S. A. (2013) · Wiley eBooks · doi:10.1002/9781118732373.ch2 · Cited by 13
Braun, C., Delisle, J., Suffren, S., & Bolduc, M. (2013) · Laterality · doi:10.1080/1357650x.2012.695796 · Cited by 8
“Children and adults with ADHD have frontal cortical thinning of the right hemisphere (Almeida et al., 2010; Makris et al., 2007; Shaw et al., 2009).”
BackgroundToward Early, Personalized, Rational Polypharmacy In Psychiatry
Niculescu, A. B., & Hulvershorn, L. A. (2010) · Psychopharm Review · doi:10.1097/01.idt.0000366925.86837.fe · Cited by 4
“Evidence from developmental neuroimaging points to the potential for normalization of neural circuits, and therefore preventive effects of early treatment in children.(15,16) Taken together, these data suggest a need for early intervention to prevent the full-blown development of an illness, repeated acute episodes, a…”
BackgroundZhang, H., Liang, X., Hsu, C. L., Chan, R. C.-F., Feng, Y., Yeung, Y. K., Li, D., Wang, P., & Shum, D. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07593-7 · Cited by 6
Atypical sulcal pattern in boys with attention‐deficit/hyperactivity disorder
Li, X., Wang, W., Wang, P., Hao, C.-R., & Li, Z. (2021) · Human Brain Mapping · doi:10.1002/hbm.25552 · Cited by 7
“For instance, structural MRI studies have shown changes in asymmetrical patterns of frontal cortical thickness and volume in ADHD patients (Castellanos et al., 1996; Shaw et al., 2009).”
BackgroundNeural silences can be localized rapidly using noninvasive scalp EEG
Chamanzar, A., Behrmann, M., & Grover, P. (2020) · bioRxiv · doi:10.1101/2020.10.11.334987 · Cited by 7
Cortical thickness lateralization and its relation to language abilities in children
Qi, T., Schaadt, G., & Friederici, A. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100704 · Cited by 7
“In line, the acquisition of cognitive abilities, such as language, was shown to be related to rapid cortical thinning (Shaw 2009).”
ADHS – an der Nahtstelle von Medizin und Pädagogik
Romanos, M., & Jans, T. (2014) · Lernen und Lernstörungen · doi:10.1024/2235-0977/a000060 · Cited by 8
The circling ci2 rat mutant revisited: receptor architecture of the motor cortex.
Palomero-Gallagher, N., Schleicher, A., Zilles, K., & Löscher, W. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.07.043 · Cited by 7
Britten, R. A., Fesshaye, A. S., Tidmore, A., Tamgue, E. N., & Alvarado-Arriaga, P. A. (2024) · Life sciences and space research · doi:10.1016/j.lssr.2024.09.001 · Cited by 6
“Processing speed can be a reflection of working memory (Jacobson et al., 2011; Shaw et al., 2009b, 2009a, 2007), which is also impaired by SR exposure (Cekanaviciute et al., 2018; Cucinotta and Cacao, 2019; Kiffer et al., 2019; Soler et al., 2021).”
Irani, Z. A., Sheridan, A. M. C., Badcock, N. A., & Fox, A. M. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16162 · Cited by 6
“…and peer problems may suggest that implications surrounding research observing atypical language lateralisation in ADHD (Hale et al., 2009, 2010; Shaw et al., 2009), depression (Bruder et al., 1999; Johnson & Crockett, 1982; Wale & Carr, 1990) and schizophrenia (Ocklenburg et al., 2013; Sommer…”
BackgroundRoe, J. M., Dídac Vidal-piñeiro, A., Amlien, I. K., Pan, M., Sneve, M. H., de Schotten, M. T., Friedrich, P., Sha, Z., Francks, C., Eilertsen, E. M., et al. (2023) · eLife · doi:10.7554/elife.84685 · Cited by 33
“…( Kong et al., 2018 ; Chiarello et al., 2016 ; Roe et al., 2021 ; Li et al., 2015 ; Luders et al., 2006 ; Zhou et al., 2013 ; Maingault et al., 2016 ; Shaw et al., 2009 ; Lou et al., 2020 ; Hamilton et al., 2007 ; Zhou et al., 2018 ; Koelkebeck et al., 2014 ; Plessen et al., 2014 ) – the…”
InfluentialDutta, C. N., Christov‐Moore, L., Ombao, H., & Douglas, P. K. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.938501 · Cited by 8
Tang, Y., Zheng, S., & Tian, Y. (2022) · Journal of Neural Transplantation and Plasticity · doi:10.1155/2022/4714763 · Cited by 6
Barth, B., Rohe, T., Deppermann, S., Fallgatter, A., & Ehlis, A. (2021) · Human Brain Mapping · doi:10.1002/hbm.25376 · Cited by 6
“The decision to facilitate right dlPFC activation was based on asymmetry findings that show patients with ADHD to exhibit stronger relative lefthemispheric cortical activity than controls (Keune et al., 2011; Shaw et al., 2009).”
MethodCortical Morphometry is Associated with Neuropsychological Function in Healthy 8‐Year‐Old Children
Li, T., McCorkle, G., Williams, D. K., Badger, T. M., & Ou, X. (2020) · Journal of Neuroimaging · doi:10.1111/jon.12754 · Cited by 10
Handedness and Other Variables Associated with Human Brain Asymmetrical Skew
Kong, X.-Z., Postema, M., Castillo, A. C., Pepe, A., Crivello, F., Joliot, M., Mazoyer, B., Fisher, S., & Francks, C. (2019) · doi:10.1101/756395 · Cited by 6
“1998), attention-deficit/hyperactivity disorder (Shaw et al. 2009), autism (Eyler et al.”
BackgroundInfluentialX & Y Chromosomal Variations: Hormones, Brain Development, and Neurodevelopmental Performance
Samango‐Sprouse, C. A., & Gropman, A. L. (2016) · Colloquium Series on The Developing Brain · doi:10.4199/c00134ed1v01y201506dbr013 · Cited by 3
Tucci, V., Lassi, G., & Kas, M. J. (2012) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/187152712800672454 · Cited by 8
Leckman, J. F., & Yazgan, M. Y. (2010) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02226.x · Cited by 6
“In the case of ADHD, prospective longitudinal data are ongoing with regard to brain morphology and cortical thickness (Shaw et al., 2007, 2009a).”
BackgroundAlterations of gray matter asymmetry in internet gaming disorder
Chen, S., Jin, Y., Lock, M., Wang, T., Wang, M., Wang, L., Yuan, L., Zhuang, Q., & Dong, G. (2024) · Scientific Reports · doi:10.1038/s41598-024-79659-7 · Cited by 6
Li, N., Phuyal, S., Smits, E., Reid, F. E., Tamgue, E. N., Arriaga, P. A., & Britten, R. A. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.115182 · Cited by 5
“One construct contributing to processing speed is working memory [43 – 46], and it is well documented that low dose SR exposure impairs working memory [5 – 7 , 47].”
BackgroundZhao, Y.-L., Lin, J., Qi, X., Cao, D.-Z., Zhu, F., Chen, L., Tan, Z., Mo, T., & Zeng, H.-W. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26609 · Cited by 5
Zhao, L., Matloff, W., Shi, Y.-G., Cabeen, R. P., & Toga, A. (2021) · bioRxiv · doi:10.1101/2021.03.09.434625 · Cited by 5
Putting Hemispheric Asymmetry to Use in Understanding Brain Diseases
Gordon, H. W. (2016) · Journal of Systems and Integrative Neuroscience · doi:10.15761/jsin.1000144 · Cited by 5
“One study showed a more active left hemisphere in the resting state [6] while another study showed a failure of neuronal development in the right hemisphere [7].”
BackgroundEvaluating Structural Symmetry of Weighted Brain Networks via Graph Matching
Hu, C., Fakhri, G. E., & Li, Q. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10470-6_91 · Cited by 2
Li, H., Goldin, P. R., & Siegle, G. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818697-8.00190-4 · Cited by 11
Ivanov, I., Newcorn, J. H., Morton, K., & Tricamo, M. (2011) · Springer eBooks · doi:10.1007/978-1-4419-1268-8_7 · Cited by 4
“2007), which appears to be disrupted or altered in individuals with ADHD (Shaw et al. 2009).”
BackgroundHu, S., Wang, Y., Wang, X., Ji, Y., Li, C., & Qiu, B. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03260-3 · Cited by 4
Structural development and brain asymmetry in the fronto-limbic regions in preschool-aged children
Lee, G. Y., Youn, Y., Jang, Y. H., Kim, H., Lee, J. Y., Lee, Y. J., Jung, M., & Lee, H. J. (2024) · Frontiers in Pediatrics · doi:10.3389/fped.2024.1362409 · Cited by 6
Yamashita, M., Kagitani‐Shimono, K., Hirano, Y., Hamatani, S., Nishitani, S., Yao, A., Kurata, S., Kosaka, H., Jung, M., Yoshida, T., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-070157 · Cited by 4
Associations between Cortical Asymmetry and Domain Specific Cognitive Functions in Healthy Children
Raja, R., Na, X., Glasier, C., Badger, T., Bellando, J., & Ou, X. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc46164.2021.9630831 · Cited by 4
“Several studies have aimed at exploring the brain lateralization in structural and functional aspects in both children and adults [5], [6].”
BackgroundJi, X., Cheng, W., Zhang, J., Ge, T., Sun, L., Wang, Y., & Feng, J. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1112.3496 · Cited by 5
“(53) found that the left, but not the right side was significantly thicker”
BackgroundRole of dopamine in the pathophysiology of attention-deficit/hyperactivity disorder.
Vaidya, C. J., & Gordon, E. M. (2012) · American Psychological Association eBooks · doi:10.1037/14043-006 · Cited by 2
Sex-Dependent Changes in Risk-Taking Predisposition of Rats Following Space Radiation Exposure
Smits, E., Reid, F. E., Tamgue, E. N., Arriaga, P. A., Nguyen, C. C., & Britten, R. A. (2025) · Life · doi:10.3390/life15030449 · Cited by 3
“The processing speed can be a reflection of working memory [47–50], which is also impaired by SR exposure [3–5 ,”
Infant study of hemispheric asymmetry after long‐gap esophageal atresia repair
Kagan, M. S., Mongerson, C. R. L., Zurakowski, D., Jennings, R., & Bajic, D. (2021) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51465 · Cited by 3
“3) volumes, as well as absolute and normalized volume difference between right and left hemi-spheres as previously validated by Shaw et al. 2009 32 (Fig.”
Classifying handedness with MRI
Panta, S. R., Anderson, N., Maurer, J., Harenski, K. A., Nyalakanti, P. K., Calhoun, V., & Kiehl, K. (2021) · Neuroimage: Reports · doi:10.1016/j.ynirp.2021.100057 · Cited by 3
“…numerous brain conditions, including Alzheimer ’ s disease (Thompson et al., 1998), psychotic disorders (Yücel et al., 2003), mood disorders (Yucel et al., 2009), autism (Eyler et al., 2012), dyslexia (Altarelli et al., 2014), and attention-deficit/hyperactivity disorder (ADHD; Shaw et al., 2009).”
Growth charts for individualized evaluation of brain morphometry for preschool childrenPreprint
Zhang, H.-X., Li, J., Su, X.-J., Hu, Y., Liu, T.-M., Ni, S.-Q., Li, H.-F., Zuo, X., Fu, J.-F., Yuan, T.-F., et al. (2021) · medRxiv · doi:10.1101/2021.04.08.21255068 · Cited by 3
“For instance, early-onset 4 schizophrenia patients were found to exhibit abnormal acceleration of gray matter loss 5 during development [4,29]; autistic children showed distinct patterns of cortex growth 6 and white-gray matter contrast [30,31], abnormal amygdala volume dynamics [32], and 7 extreme male-like patterns…”
BackgroundZhang, J., Tian, M.-Q., Song, L.-F., Chen, X., Ma, X.-J., Zhang, T.-J., & Jiang, L. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1769284 · Cited by 2
“Thinning in these regions in children with SeLECTS may reflect a reduction in the complexity of the neuropil, potentially stemming from the disruptive effects of interictal spikes on local synaptic stability, consistent with the common neuropsychological profile of SeLECTS (37–39).”
Çınaroğlu, M., Yılmazer, E., Ülker, S. V., & Tarlacı, S. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1764242 · Cited by 2
“…shows slight differences in size and cortical thickness that reflect specialization [for instance, language regions are larger in the left hemisphere, whereas attentional and visuo-spatial networks are often right-lateralized, (Shaw et al., 2009; Ocklenburg et al., 2024; Wang et al., 2023)].”
Learning by Heart or with Heart: Brain Asymmetry Reflects Pedagogical Practices
Schetter, M., Romascano, D., Gaujard, M., Rummel, C., & Denervaud, S. (2023) · Brain Sciences · doi:10.20944/preprints202307.2150.v1 · Cited by 1
“While other studies have investigated asymmetry in atypical children [19,57,58], few report developmental data on CTh asymmetry metrics.”
BackgroundAsymmetry Map of Human Brain in Young AdultsPreprint
Malekzadeh, M., & Kashani, A. (2020) · bioRxiv · doi:10.1101/2020.12.03.409805 · Cited by 2
“In addition, some reports suggest that gender effects on asymmetry might change with age (17).”
BackgroundResultMazzetti, C., ter Huurne, N., Buitelaar, J. K., & Jensen, O. B. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.13.990929 · Cited by 2
Metadata
- Authors
- Shaw, P., Lalonde, F., Lepage, C., Rabin, C., Eckstrand, K., Sharp, W., Greenstein, D., Evans, A., Giedd, J. N., & Rapoport, J.
- Affiliations
- National Institute of Mental Health (US)
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2009-08-01
- Volume
- 66
- Issue
- 8
- Pages
- 888
- ISSN
- 0003-990X (ISSN-L)
- PMC
- PMC2948210
- OpenAlex
- W2055703423
- Cited by
- 249
- References
- 81
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 13 · 2023: 11 · 2022: 10 · 2021: 19 · 2020: 17 · 2019: 8 · 2018: 13 · 2017: 12 · 2016: 9 · 2015: 19 · 2014: 18 · 2013: 19 · 2012: 18
- FWCI
- 13.61
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Archives of General Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (ZIAMH002240, ZIAMH002794)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Keywords
- cortical asymmetry, attention deficit hyperactivity disorder, hemispheric lateralization, cortical thickness, brain development, children, prefrontal cortex, orbitofrontal cortex, inferior frontal cortex, occipital cortex, handedness
- MeSH terms
- Adolescent, Adult, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Cerebral Cortex, Child, Child Development, Child, Preschool, Frontal Lobe, Humans, Functional Laterality, Longitudinal Studies, Magnetic Resonance Imaging, Prospective Studies, Prefrontal Cortex
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