The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Development of cortical and subcortical brain structures in childhood and adolescence: a structural MRI study
Open accessAbstract
The purpose of the present study was to describe in greater anatomical detail the changes in brain structure that occur during maturation between childhood and adolescence. High-resolution MRI, tissue classification, and anatomical segmentation of cortical and subcortical regions were used in a sample of 35 normally developing children and adolescents between 7 and 16 years of age (mean age 11 years; 20 males, 15 females). Each cortical and subcortical measure was examined for age and sex effects on raw volumes and on the measures as proportions of total supratentorial cranial volume. Results indicate age-related increases in total supratentorial cranial volume and raw and proportional increases in total cerebral white matter. Gray-matter volume reductions were only observed once variance in total brain size was proportionally controlled. The change in total cerebral white-matter proportion was significantly greater than the change in total cerebral gray-matter proportion over this age range, suggesting that the relative gray-matter reduction is probably due to significant increases in white matter. Total raw cerebral CSF volume increases were also observed. Within the cerebrum, regional patterns varied depending on the tissue (or CSF) assessed. Only frontal and parietal cortices showed changes in gray matter, white matter, and CSF measures. Once the approximately 7% larger brain volume in males was controlled, only mesial temporal cortex, caudate, thalamus, and basomesial diencephalic structures showed sex effects with the females having greater relative volumes in these regions than the males. Overall, these results are consistent with earlier reports and describe in greater detail the regional pattern of age-related differences in gray and white matter in normally developing children and adolescents.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“the frontal lobe capacity for internally guided behavior, working memory, and organizational skills do not reach full adult functional capacity until mid to late adolescence.8, 9, 10, 11, 12”
From A role for synaptic plasticity in the adolescent development of executive function (2013) · cites this paper as [8]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Interestingly, changing cortical volumes over this age range are most prominent in the frontal and parietal lobes.8, 58, 59”
From A role for synaptic plasticity in the adolescent development of executive function (2013) · cites this paper as [8]
In the citing paper
“The unique circuitry recruited by adolescents may be associated with the known structural immaturities including continued gray matter thinning of the basal ganglia (Sowell et al., 2002) and OFC (Gogtay et al., 2004), and increases in dopamine transmission (Kalsbeek et al., 1988; Meng et al., 1999; Rosenberg & Lewis, 1994; Rosenberg & Lewis, 1995; Seeman et al., 1987).”
From Developmental changes in brain function underlying the influence of reward processing on inhibitory control (2011) · cites this paper as Sowell et al., 2002
In the citing paper
“Among the latest developing regions are portions of parietal and pFC (Sowell et al., 2004;Sowell, Trauner, Gamst, & Jernigan, 2002;Paus et al., 2001;Giedd et al., 1999;Jernigan, Trauner, Hesselink, & Tallal, 1991)”
From White Matter Microstructure in Superior Longitudinal Fasciculus Associated with Spatial Working Memory Performance in Children (2011) · cites this paper as Sowell et al., 2002
In the citing paper
“Structural MRI studies have revealed gradual increases of white matter volume and apparent thinning of cortex during childhood and adolescence.”
From White Matter Microstructure in Superior Longitudinal Fasciculus Associated with Spatial Working Memory Performance in Children (2011) · cites this paper as Sowell et al., 2002
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
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552
Synaptic density in human frontal cortex —Developmental changes and effects of aging
Peter R., H. (1979) · Brain Research · doi:10.1016/0006-8993(79)90349-4 · Cited by 2,645
In vivo evidence for post-adolescent brain maturation in frontal and striatal regions
Sowell, E. R., Thompson, P. M., Holmes, C. J., Jernigan, T. L., & Toga, A. W. (1999) · Nature Neuroscience · doi:10.1038/13154 · Cited by 1,439
Self-citationPfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363
Structural maturation of neural pathways in children and adolescents: in vivo study
Paus, T., Zijdenbos, A., Worsley, K., Collins, D. L., Blumenthal, J., Giedd, J. N., Rapoport, J. L., & Evans, A. C. (1999) · Science · doi:10.1126/science.283.5409.1908 · Cited by 1,322
Quantitative magnetic resonance imaging of human brain development: ages 4–18
Giedd, J. N., Snell, J. W., Lange, N., Rajapakse, J. C., Casey, B. J., Kozuch, P. L., Vaituzis, A. C., Vauss, Y. C., Hamburger, S. D., Kaysen, D., et al. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.4.551 · Cited by 1,024
Brain development, gender and IQ in children
Reiss, A. L., Abrams, M. T., Singer, H. S., ROSS, J. L., & DENCKLA, M. B. (1996) · Brain · doi:10.1093/brain/119.5.1763 · Cited by 902
Benes, F. M. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950060041004 · Cited by 744
Normal maturation of the neonatal and infant brain: MR imaging at 1.5 T.
Barkovich, A. J., Kjos, B. O., Jackson, D. E., & Norman, D. M. (1988) · Radiology · doi:10.1148/radiology.166.1.3336675 · Cited by 741
From neuropathology to neurodevelopment
Weinberger, D. R. (1995) · The Lancet · doi:10.1016/s0140-6736(95)91386-6 · Cited by 558
Research works printed but not linked: 1
- Yakovlev PI, Lecours AR. (1967) The myelogenetic cycles of regional maturation of the brain. In: Minkowski A, editor. Regional Development of the Brain in Early Life. Oxford: Blackwell Scientific. p 3-70
Cited by
Sorted by citations
Items 401–500 of 714
van Wyhe, K. S., Laughton, B., Cotton, M. F., Meintjes, E. M., van der Kouwe, A. J. W., Boivin, M. J., Kidd, M., & Thomas, K. G. F. (2021) · Journal of the International AIDS Society · doi:10.1002/jia2.25734 · Cited by 21
Sex differences in brain and behavioral development
Beltz, A. M., Kelly, D. P., & Berenbaum, S. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814411-4.00027-5 · Cited by 21
Cognitions sociales et schizophrénie à début précoce
Speranza, M. (2008) · Neuropsychiatrie de l Enfance et de l Adolescence · doi:10.1016/j.neurenf.2008.05.014 · Cited by 21
Nash, K., Stevens, S. A., Clairman, H., & ROVET, J. F. (2017) · Brain Sciences · doi:10.3390/brainsci8010007 · Cited by 21
Sex Differences in Brain and Behavioral Development
Beltz, A. M., Blakemore, J. E., & Berenbaum, S. A. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397267-5.00064-9 · Cited by 21
A New MRI-Based Pediatric Subcortical Segmentation Technique (PSST)
Loh, W. Y., Connelly, A., Cheong, J. L. Y., Spittle, A. J., Chen, J., Adamson, C. L., Ahmadzai, Z. M., Fam, L. G., Rees, S. M., Lee, K. J., et al. (2015) · Neuroinformatics · doi:10.1007/s12021-015-9279-0 · Cited by 20
Structural Neuroimaging and Neuropsychologic Signatures in Children With Vertically Acquired HIV
Paul, R. H., Prasitsuebsai, W., Jahanshad, N., Puthanakit, T., Thompson, P. M., Aurpibul, L., Hansudewechakul, R., Kosalaraksa, P., Kanjanavanit, S., Ngampiyaskul, C., et al. (2017) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0000000000001852 · Cited by 20
Assari, S. (2020) · Brain Sciences · doi:10.3390/brainsci10120956 · Cited by 20
Parental Factors Associated with Rumination Related Metacognitive Beliefs in Adolescence
Chow, K.-W., & Lo, B. C. Y. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00536 · Cited by 20
Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia
Machilsen, B., D’Agostino, E., Maes, F., Vandermeulen, D., Hahn, H. K., Lagae, L. G., & Stiers, P. L. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.037 · Cited by 20
Travis, K. E., Curran, M. M., Torres, C., Leonard, M. K., Brown, T. T., Dale, A. M., Elman, J. L., & Halgren, E. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht052 · Cited by 19
Qiu, A., & Liu, C. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01559-7 · Cited by 20
Source and Item Memory for Odors and Objects in Children and Young Adults
Pirogovsky, E., Gilbert, P. E., & Murphy, C. (2006) · Developmental Neuropsychology · doi:10.1207/s15326942dn3002_5 · Cited by 19
Lin, J. J., Siddarth, P., Riley, J. D., Gurbani, S. G., Ly, R., Yee, V. W., Levitt, J. G., Toga, A. W., & Caplan, R. (2013) · Epilepsia · doi:10.1111/epi.12428 · Cited by 18
Brain Retraction and Thickness of Cerebral Neocortex
Little, A. S., Liu, S., Beeman, S. C., Sankar, T., Preul, M. C., Hu, L., Smith, K. A., & Baxter, L. C. (2010) · Operative Neurosurgery · doi:10.1227/01.neu.0000374699.12150.0 · Cited by 18
Rádosi, A., Pászthy, B., Sebők-Welker, T., Zubovics, E. A., Réthelyi, J., Ulbert, I., & Bunford, N. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106719 · Cited by 18
Microstructural properties within the amygdala and affiliated white matter tracts across adolescence
Azad, A., Cabeen, R. P., Sepehrband, F., Kim, R., Campbell, C. E., Lynch, K. M., Tyszka, J. M., & Herting, M. M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118489 · Cited by 18
Yan, G., Xuan, Y., Dai, Z., Shen, Z., Zhang, G., Xu, H., & Wu, R. (2014) · Neurochemical Research · doi:10.1007/s11064-014-1464-2 · Cited by 18
Dynamic Links Between Emerging Cognitive Skills and Brain Processes
Molfese, D. L., Molfese, V. J., Beswick, J. L., Jacobi-Vessels, J. L., Molfese, P. J., Key, A. P. F., & Starkey, G. S. (2008) · Developmental Neuropsychology · doi:10.1080/87565640802418647 · Cited by 18
Latent dimensions of executive functions in early childhood.
Decker, S. L., Ezrine, G. A., & Ferraracci, J. (2016) · Journal of Pediatric Neuropsychology · doi:10.1007/s40817-016-0013-0 · Cited by 18
Cohen‐Gilbert, J. E., Jensen, J. E., & Silveri, M. M. (2014) · Development and Psychopathology · doi:10.1017/s0954579414000030 · Cited by 18
SEX DIFFERENCES IN CEREBRAL TISSUE VOLUME AND COGNITIVE PERFORMANCE DURING ADOLESCENCE
Yurgelun-Todd, D. A. (2002) · Psychological Reports · doi:10.2466/pr0.91.7.743-757 · Cited by 18
Melinder, A. M. D., Augusti, E., Matre, M., & Endestad, T. (2015) · Psychological Trauma Theory Research Practice and Policy · doi:10.1037/tra0000048 · Cited by 17
Childhood socioeconomic status is prospectively associated with surface morphometry in adulthood
Dufford, A. J., Evans, G. W., Liberzon, I., Swain, J. E., & Kim, P. (2021) · Developmental Psychobiology · doi:10.1002/dev.22096 · Cited by 17
Perinatal Risk Factors for Mild Motor Disability
Hands, B. P., Kendall, G. E., Larkin, D., & PARKER, H. E. (2009) · International Journal of Disability Development and Education · doi:10.1080/10349120903306533 · Cited by 17
Gender-Specific Differences in the Central Nervous System’s Response to Anesthesia
Mawhinney, L. J., Mabourakh, D., & Lewis, M. C. (2012) · Translational Stroke Research · doi:10.1007/s12975-012-0229-y · Cited by 17
Dissociation of preparatory attention and response monitoring maturation during adolescence
Padilla, M., Adolf Pfefferbaum, A., Sullivan, E. V., Baker, F. C., & Colrain, I. M. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.10.012 · Cited by 17
Clark, C. A. C., Fang, H., Espy, K. A., Filipek, P. A., Juranek, J. J., Bangert, B. A., Hack, M., & Taylor, H. G. (2013) · Neuropsychology · doi:10.1037/a0032273 · Cited by 17
Neural activation during cognitive reappraisal in girls at high risk for depression
Şimşek, F., Oğuz, K., Kitiş, Ö., Şebnem, A. K. A. N., Kempton, M. J., & Gönül, A. S. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.03.022 · Cited by 17
Atypical Neuropsychological Profile in a Boy with 22q11.2 Deletion Syndrome Keywords:
Stiers, P. L. J., Swillen, A., Smedt, B. D., Lagae, L. G., Devriendt, K., D’Agostino, E., Sunaert, S. G., & Fryns, A.-P. (2005) · Child Neuropsychology · doi:10.1080/09297040590911220 · Cited by 17
Jimenez, A. L., Banaag, C. G., Arcenas, A. M. A., & Hugo, L. V. (2023) · Springer eBooks · doi:10.1007/978-3-030-42825-9_106-1 · Cited by 16
Brain development in healthy children and adolescents: magnetic resonance imaging studies
Giedd, J. N., Rosenthal, M., Rose, A. B., Blumenthal, J. D., Molloy, E. A., Dopp, R. R., CLASEN, L. S., Fridberg, D. J., & Gogtay, N. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511735103.004 · Cited by 16
Orbitofrontal cortex grey matter volume is related to children’s depressive symptoms
Vandermeer, M. R. J., Liu, P., Ali, O. M., Daoust, A. R., Joanisse, M. F., Barch, D. M., & Hayden, E. P. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102395 · Cited by 16
Thai, M., Nair, A. U., Klimes‐Dougan, B., Albott, C. S., Silamongkol, T., Corkrum, M., Hill, D. C., Roemer, J. W., Lewis, C. P., Croarkin, P. E., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.03.061 · Cited by 15
Liu, J., & Lester, B. M. (2011) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2011.09.005 · Cited by 15
Confounder-Aware Visualization of ConvNets
Zhao, Q., Adeli, E., Adolf Pfefferbaum, A., Sullivan, E. V., & Pohl, K. M. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-32692-0_38 · Cited by 15
Mueller, S. C. (2013) · Journal of Neuroendocrinology · doi:10.1111/jne.12048 · Cited by 15
Hatton, S. N., Panizzon, M. S., Vuoksimaa, E., Hagler, D. J., Fennema‐Notestine, C., Rinker, D. A., Eyler, L. T., Franz, C. E., Lyons, M. J., Neale, M. C., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24002 · Cited by 15
Catharine, V. L., Verhelst, H., Deschepper, E., Vingerhoets, G., Deblaere, K., & Caeyenberghs, K. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101827 · Cited by 15
Neurological subtle signs and cognitive development: A study in late childhood and adolescence
Martins, I. P., Lauterbach, M. H., Luís, H., Amaral, H., Rosenbaum, G. M., Slade, P. D., & Townes, B. D. (2013) · Child Neuropsychology · doi:10.1080/09297049.2012.693911 · Cited by 15
Cognitive Markers of Adolescent Risk Taking: A Correlate of Drug Abuse in At-Risk Individuals
Rosser, R. A., Stevens, S. J., & Ruiz, B. S. (2005) · The Prison Journal · doi:10.1177/0032885504274292 · Cited by 15
Backhausen, L. L., Fröhner, J. H., Lemaître, H., Artiges, É., Martinot, M. P., Herting, M. M., Sticca, F., Banaschewski, T., Barker, G. J., Bokde, A. L. W., et al. (2024) · Human Brain Mapping · doi:10.1002/hbm.26574 · Cited by 14
Griffiths, S. T., Elgen, I. B., Chong, W. K., Odberg, M. D., Markestad, T., Neto, E., & Aukland, S. M. (2013) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2013.03.006 · Cited by 14
Prenatal Development of the Human Fetal Telencephalon
Judáš, M. (2010) · Medical radiology · doi:10.1007/174_2010_119 · Cited by 14
Averaged head phantoms from magnetic resonance images of Korean children and young adults
Han, M., Lee, A., Choi, H., Jung, Y. W., & Park, J. S. (2017) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaa1c7 · Cited by 14
Prefrontal and Occipital Asymmetry and Volume in Boys with Autism Spectrum Disorder
Knaus, T. A., Tager-Flusberg, H. B., Mock, J. R., Dauterive, R., & Foundas, A. L. (2012) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0b013e318280e154 · Cited by 14
New insights into the neurobiology of sexual maturation
Sisk, C. L. (2006) · Sexual & Relationship Therapy · doi:10.1080/14681990500470009 · Cited by 14
Lynch, K. M., Cabeen, R. P., & Toga, A. W. (2023) · Human Brain Mapping · doi:10.1002/hbm.26528 · Cited by 13
Comparing behavior following binge ethanol in adolescent and adult DBA/2 J mice
Bent, M. A. M., Pais, A. C., & Wolstenholme, J. T. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113703 · Cited by 13
Chi, C.-H., Yang, F., & Chang, Y. (2022) · Brain and Cognition · doi:10.1016/j.bandc.2022.105877 · Cited by 13
Laryea, G. N., Arnett, M. G., & Muglia, L. J. (2015) · Stress · doi:10.3109/10253890.2015.1046832 · Cited by 13
Qiu, A., Rifkin‐Graboi, A., zhong, J., Phua, D. Y., Lai, Y. K., & Meaney, M. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.032 · Cited by 13
Cerebral white matter correlates of delay discounting in adolescents
Ho, B., Koeppel, J. A., & Barry, A. B. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.03.004 · Cited by 13
Nolden, S., Brod, G., Meyer, A.-K., Fandakova, Y., & Shing, Y. L. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab046 · Cited by 13
Juvenile Transfer in the United States
Bishop, D. M. (2009) · Springer eBooks · doi:10.1007/978-0-387-89295-5_6 · Cited by 13
Семенова, О. А., Machinskaya, R. I., & Ломакин, Д. И. (2015) · Human Physiology · doi:10.1134/s036211971504012x · Cited by 13
Sylvian fissure asymmetry in capuchin monkeys (Cebus apella)
Liu, S. T., & Phillips, K. A. (2008) · Laterality Asymmetries of Body Brain and Cognition · doi:10.1080/13576500802344404 · Cited by 13
Twilhaar, E. S., de Kieviet, J. F., Oosterlaan, J., & van Elburg, R. M. (2017) · Acta Paediatrica · doi:10.1111/apa.14167 · Cited by 12
Kvanta, H., Bolk, J., Strindberg, M., Jiménez-Espinoza, C., Broström, L., Padilla, N., & Ådén, U. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259717 · Cited by 12
Dumitru, M. L. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad396 · Cited by 12
Yeh, E. A., Parrish, J. B., & Weinstock‐Guttman, B. (2011) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.192 · Cited by 12
Amygdala Activation and Emotional Processing in Adolescents at Risk for Substance Use Disorders
Lindsay, D. L., Pajtek, S., Tarter, R. E., Long, E. C., & Clark, D. B. (2014) · Journal of Child & Adolescent Substance Abuse · doi:10.1080/1067828x.2014.889515 · Cited by 12
Social Stress, Affect, and Neural Function in Adolescence
McClure, E. B., & Pine, D. S. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195306255.003.0010 · Cited by 12
Lorenz, C., & Kray, J. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01497 · Cited by 12
Brain status modeling with non-negative projective dictionary learning
Zhang, M., Desrosiers, C., Guo, Y., Khundrakpam, B. S., Al‐Sharif, N., Kiar, G., Valdes-Sosa, P. A., Poline, J., & Evans, A. C. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116226 · Cited by 12
Rodríguez‐Arias, M., & Asunción, M. (2012) · InTech eBooks · doi:10.5772/47961 · Cited by 12
What is special about the adolescent (JME) brain?
Craiu, D. (2013) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2012.12.008 · Cited by 12
Towbin, K. E., Solages, M. M., & Stubbe, D. E. (2015) · Wiley eBooks · doi:10.1002/9781118753378.ch12 · Cited by 12
Behavioral features in child and adolescent huntingtin gene‐mutation carriers
Reasoner, E. E., van der Plas, E. A. A., Al‐Kaylani, H. M., Langbehn, D. R., Conrad, A. L., Schultz, J. L., Epping, E. A., Magnotta, V. A., & Nopoulos, P. (2022) · Brain and Behavior · doi:10.1002/brb3.2630 · Cited by 11
Ma, Y., Xing, X., & Zhang, M. (2022) · Child Psychiatry & Human Development · doi:10.1007/s10578-022-01397-6 · Cited by 11
Wright, L., & Kutcher, S. (2016) · Colloquium Series on The Developing Brain · doi:10.4199/c00133ed1v01y201602dbr012 · Cited by 12
Portnova, G. V., Nekrashevich, M., Morozova, M. V., Martynova, O., & Sharaev, M. (2022) · Cognitive Systems Research · doi:10.1016/j.cogsys.2022.11.003 · Cited by 11
McMurray, M. S., Oğuz, İ., Rumple, A., Paniagua, B., Styner, M. A., & Johns, J. M. (2014) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2014.11.007 · Cited by 11
A developmental neuroimaging investigation of the change paradigm
Thomas, L. A., Hall, J. M., Skup, M., Jenkins, S. E., Pine, D. S., & Leibenluft, E. (2010) · Developmental Science · doi:10.1111/j.1467-7687.2010.00967.x · Cited by 11
Morphological development of the brain: what has imaging told us?
Lu, L. H., & Sowell, E. R. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511757402.004 · Cited by 11
Self-citationQuantifying cerebral changes in adolescence with MRI and deformation based morphometry
Riddle, W. R., DonLevy, S. C., Wushensky, C. A., Dawant, B. M., Fitzpatrick, J. M., & Price, R. R. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21450 · Cited by 11
Memory Development, Emotion Regulation, and Trauma‐Related Psychopathology
Goodman, G. S., Goldfarb, D., Quas, J. A., Narr, R. K., Milojevich, H. M., & Cordòn, I. M. (2016) · Wiley eBooks · doi:10.1002/9781119125556.devpsy313 · Cited by 11
The Sexual Safety of Adolescents
Fantasia, H. C., & Fontenot, H. B. (2011) · Journal of Obstetric, Gynecologic & Neonatal Nursing · doi:10.1111/j.1552-6909.2011.01217.x · Cited by 10
Fortin, C., Barlaam, F., Vaugoyeau, M., & Assaiante, C. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2020.12.030 · Cited by 10
Areas of Convergence and Divergence in Adolescent Social Isolation and Binge Drinking: A Review
Lodha, J., Brocato, E. R., & Wolstenholme, J. T. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.859239 · Cited by 11
Comparison of Cerebral Volume in Children Aged 18-22 and 36-47 Months Born Preterm and Term
Lowe, J. R., MacLean, P. C., Caprihan, A., Ohls, R. K., Qualls, C., VanMeter, J. W., & Phillips, J. (2011) · Journal of Child Neurology · doi:10.1177/0883073811415409 · Cited by 10
Understanding Activation Patterns in Shared Circuits: Toward a Value Driven Model
Aziz‐Zadeh, L., Kilroy, E., & Corcelli, G. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00180 · Cited by 10
Function and dysfunction of monoamine interactions in children and adolescents with AD/HD
Oades, R. D. (2006) · Birkhäuser Basel eBooks · doi:10.1007/978-3-7643-7772-4_11 · Cited by 10
Resilience and Vulnerability: Neurodevelopment of Very Preterm Children at Four Years of Age
Young, J. M., Vandewouw, M. M., Whyte, H. E. A., Leijser, L. M., & Taylor, M. J. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00219 · Cited by 9
Marini, A. (2022) · Journal of Neuroscience Research · doi:10.1002/jnr.25096 · Cited by 9
Diffusion Tensor Imaging: Structural Connectivity Insights, Limitations and Future Directions
Linda, J. (2012) · InTech eBooks · doi:10.5772/23245 · Cited by 9
Impact of alcohol and substance abuse on adolescent brain: a preclinical perspective.
Jain, R., & Balhara, Y. P. S. (2010) · PubMed · Cited by 9
Zhao, X., Chen, J., Xiao, P., Feng, J., Nie, Q. H., & Zhao, X. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa388 · Cited by 9
White matter microstructure in trauma‐exposed children: Associations with pubertal stage
Fani, N., Stenson, A. F., van Rooij, S. J. H., Barrie, D. L. L., & Jovanović, T. (2021) · Developmental Science · doi:10.1111/desc.13120 · Cited by 9
Harris-Blum, L., Smith, Z., Ortiz, R. J., Athreya, D., Chang, A., Kulkarni, P. P., & Ferris, C. F. (2024) · Scientific Reports · doi:10.1038/s41598-024-69597-9 · Cited by 8
Barg, G., Frndak, S., Queirolo, E. I., Peregalli, F., & Kordas, K. (2023) · European Journal of Nutrition · doi:10.1007/s00394-023-03167-z · Cited by 8
Does cannabis affect cognitive functioning in patients with schizophrenia?
Rachid, H., Saif, Z., Raoui, S., Serhier, Z., & Agoub, M. (2023) · Schizophrenia Research Cognition · doi:10.1016/j.scog.2023.100299 · Cited by 8
Ecstasy Exposure & Gender: Examining Components of Verbal Memory Functioning
Price, J. S., Shear, P. K., & Lisdahl, K. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115645 · Cited by 8
Theory of positive disintegration as a model of adolescent development.
Laycraft, K. (2011) · PubMed · Cited by 8
The Basics of Brain Development
Stiles, J., Reilly, J. S., Levine, S. C., Trauner, D. A., & Nass, R. D. (2012) · Oxford University Press eBooks · doi:10.1093/med/9780195389944.003.0002 · Cited by 8
Self-citationDouet, V., Chang, L., Lee, K., & Ernst, T. M. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9363-y · Cited by 8
Labudda, K., Brand, M., Mertens, M., Ebner, A., Markowitsch, H. J., & Woermann, F. G. (2010) · Neurocase · doi:10.1080/13554790903329125 · Cited by 8
Hu, G., Zhang, Q., Yang, Z., & Li, B. (2021) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669900 · Cited by 8
Marini, A., VEGNI, C., Gangi, S., Benedetti, V., & Agosti, M. A. (2003) · Acta Paediatrica · doi:10.1111/j.1651-2227.2003.tb00642.x · Cited by 8
Işıklar, S., & Sağlam, D. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae142 · Cited by 7
Metadata
- Authors
- Sowell, E. R., Trauner, D. A., Gamst, A., & Jernigan, T. L.
- Affiliations
- University of California, Los Angeles (US)
- University of California San Diego (US)
- Venue
- Developmental Medicine and Child Neurology
- Publisher
- Wiley
- Published
- 2002-01-24
- Volume
- 44
- Issue
- 01
- Pages
- 4
- ISSN
- 0012-1622 (ISSN-L)
- 1469-8749
- OpenAlex
- W2164760908
- Cited by
- 701
- References
- 26
- Citations by year
- 2026: 4 · 2025: 13 · 2024: 24 · 2023: 24 · 2022: 22 · 2021: 25 · 2020: 23 · 2019: 23 · 2018: 25 · 2017: 29 · 2016: 30 · 2015: 40 · 2014: 44 · 2013: 63 · 2012: 46
- FWCI
- 15.68
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Developmental Medicine & Child Neurology (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs
- National Institutes of Health (5r01hd023854-07, 1p01dc001289-01, NS22343, P50 NS22343)
- National Institute on Deafness and Other Communication Disorders (P01 DC01289)
- National Institute of Neurological Disorders and Stroke (P50 NS 22343, P50NS022343)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD 23854)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain maturation, childhood, adolescence, cortical development, subcortical structures, gray matter volume, white matter volume, cerebrospinal fluid volume, sex differences, frontal cortex, parietal cortex, caudate nucleus, thalamus, diencephalon, brain tissue classification
- MeSH terms
- Adolescent, Age Factors, Brain, Cerebral Cortex, Child, Child Development, Female, Humans, Magnetic Resonance Imaging, Male
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