The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Structural Magnetic Resonance Imaging of the Adolescent Brain
Abstract
A bstract : Magnetic resonance imaging (MRI) provides accurate anatomical brain images without the use of ionizing radiation, allowing longitudinal studies of brain morphometry during adolescent development. Results from an ongoing brain imaging project being conducted at the Child Psychiatry Branch of the National Institute of Mental Health indicate dynamic changes in brain anatomy throughout adolescence. White matter increases in a roughly linear pattern, with minor differences in slope in the four major lobes (frontal, parietal, temporal, occipital). Cortical gray matter follows an inverted U‐shape developmental course with greater regional variation than white matter. For instance, frontal gray matter volume peaks at about age 11.0 years in girls and 12.1 years in boys, whereas temporal gray matter volume peaks at about age at 16.7 years in girls and 16.2 years in boys. The dorsal lateral prefrontal cortex, important for controlling impulses, is among the latest brain regions to mature without reaching adult dimensions until the early 20s. The details of the relationships between anatomical changes and behavioral changes, and the forces that influence brain development, have not been well established and remain a prominent goal of ongoing investigations.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In contrast, development of frontal cortical areas of the brain, responsible for cognitive control over behavior, depends on age and experience and continues throughout adolescence and into adulthood (Sowell et al. 2003; Giedd 2004).”
From Short- and Long-Term Consequences of Nicotine Exposure during Adolescence for Prefrontal Cortex Neuronal Network Function (2012) · cites this paper as Giedd 2004
In the citing paper
“Data from recent longitudinal MRI studies indicate that the change in gray matter volume over time has an inverted U-shape pattern and has greater regional variation than white matter (Giedd 2004; Gogtay et al. 2004, Sowell et al. 2003, 2004).”
From The Adolescent Brain (2008) · cites this paper as Giedd 2004
In the citing paper
“Research has demonstrated that the brain remains plastic through adolescence and displays developmental-based morphological changes in total white and gray matter volume (Giedd et al. 1999; Giedd 2004).”
From The long-term cognitive consequences of adolescent exposure to recreational drugs of abuse (2018) · cites this paper as Giedd 2004
In the citing paper
“The PFC is slow to mature, reaching adult dimensions in the early 20s (Giedd, 2004).”
From Catecholamine influences on prefrontal cortical function: Relevance to treatment of attention deficit/hyperactivity disorder and related disorders (2011) · cites this paper as Giedd, 2004
In the citing paper
“Previous studies have shown that throughout the span of adolescence, different brain regions reach peak gray matter volume at distinct rates (Giedd, 2004, Gogtay et al., 2004, Creze et al., 2014), with concurrent changes in neurophysiology (Whitford et al., 2007).”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Giedd, 2004
In the citing paper
“In both humans and laboratory animals, the volume of frontal cortex decreases in adolescence whereas the volume of the amygdala increases (e.g., Giedd et al, 1996; Giedd, 2004; Markham et al, 2007).”
From Rewards, aversions and affect in adolescence: emerging convergences across laboratory animal and human data (2011) · cites this paper as Giedd, 2004
In the citing paper
“In both humans and laboratory animals, the volume of frontal cortex decreases in adolescence whereas the volume of the amygdala increases (e.g., Giedd et al, 1996; Giedd, 2004; Markham et al, 2007).”
From Rewards, aversions and affect in adolescence: emerging convergences across laboratory animal and human data (2011) · cites this paper as Giedd, 2004
In the citing paper
“In both humans and laboratory animals, the volume of frontal cortex decreases in adolescence whereas the volume of the amygdala increases (e.g., Giedd et al, 1996; Giedd, 2004; Markham et al, 2007).”
From Rewards, aversions and affect in adolescence: emerging convergences across laboratory animal and human data (2011) · cites this paper as Giedd, 2004
In the citing paper
“The developmental trajectory of the prefrontal cortex (PFC) in both rats and humans is nonlinear, with a notable decline in synaptic density during adolescence, potentially creating a 'natural lesion' preparation at this age.”
From Impaired Extinction Retention in Adolescent Rats: Effects of D-Cycloserine (2010) · cites this paper as Geidd, 2004
In the citing paper
“In agreement with previous literature, we found that age was associated with an increase in structural connectivity strength in most of the identified striatal tracts (55).”
From Adolescent impatience decreases with increased frontostriatal connectivity (2015) · cites this paper as [55]
In the citing paper
“Because the brain does not reach full maturity until the mid-20s,(325)”
From Developmental toxicity of nicotine: A transdisciplinary synthesis and implications for emerging tobacco products (2017) · cites this paper as [325]
In the citing paper
“Due to all such incidents, patients don't feel confident in disclosing their information even to the physicians.”
From Secondary Use of Electronic Health Record: Opportunities and Challenges (2020) · cites this paper as [136]
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-citationBrain 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
Self-citationMesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072
Gonadal steroids regulate dendritic spine density in hippocampal pyramidal cells in adulthood
Gould, E., Woolley, C., Frankfurt, M., & McEwen, B. (1990) · Journal of Neuroscience · doi:10.1523/jneurosci.10-04-01286.1990 · Cited by 1,406
Pfefferbaum, 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
Semantic memory and the brain: structure and processes
Martin, A., & Chao, L. L. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00196-3 · Cited by 1,339
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
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
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
Self-citationCrossmodal Processing in the Human Brain: Insights from Functional Neuroimaging Studies
Calvert, G. A. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.12.1110 · Cited by 1,012
Research works printed but not linked: 6
- Nellhaus G., 1968, Head circumference: girls and boys 2‐18 years, Pediatrics, 41, 106
- Berlucchi G., 1981, Interhemispheric asymmetries in visual discrimination: a neurophysiological hypothesis, Doc. Opthalmol. Proc. Ser., 30, 87
- Levy J. 1985. Interhemispheric collaboration: single mindedness in the asymmetric brain.InHemisphere Function and Collaboration in the Child. C.T. Best Ed.: 11‐32. Academic Press. New York.
- Njiokiktjien C. 1991. Pediatric Behavioral Neurology Vol.3 The Child's Corpus Callosum. Suyi. Amsterdam.
- 10.1176/ajp.151.5.665 · DOI
- Nolte J. 1993. Olfactory and limbic systems.InThe Human Brain. An Introduction to Its Functional Anatomy. R. Farrell Ed.: 397‐413. Mosby‐Year Book. St. Louis MO.
Cited by
Sorted by citations
Items 101–151 of 151
Barnett, J. H., Heron, J., Ring, S. M., Golding, J., Goldman, D., Xu, K., & Jones, P. B. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.1.142 · Cited by 134
Tamnes, C. K., Østby, Y., Walhovd, K. B., Westlye, L. T., Due‐Tønnessen, P., & Fjell, A. M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20962 · Cited by 126
Putative adverse outcome pathways relevant to neurotoxicity
Bal-Price, A., Crofton, K. M., Sachana, M., Shafer, T. J., Behl, M., Forsby, A., Hargreaves, A., Landesmann, B., Lein, P. J., Louisse, J., et al. (2015) · Critical Reviews in Toxicology · doi:10.3109/10408444.2014.981331 · Cited by 114
Memory and Reward-Based Learning: A Value-Directed Remembering Perspective
Knowlton, B. J., & Castel, A. D. (2022) · Annual Review of Psychology · doi:10.1146/annurev-psych-032921-050951 · Cited by 115
Developmental rodent models of fear and anxiety: from neurobiology to pharmacology
Ganella, D. E., & Kim, J. H. (2014) · British Journal of Pharmacology · doi:10.1111/bph.12643 · Cited by 107
Dauncey, M. J. (2009) · Proceedings of The Nutrition Society · doi:10.1017/s0029665109990188 · Cited by 107
Andrzejewski, M. E., Schochet, T. L., Feit, E. C., Harris, R., Mckee, B. L., & Kelley, A. E. (2011) · Behavioral Neuroscience · doi:10.1037/a0022038 · Cited by 96
Developmental sex differences in resting state functional connectivity of amygdala sub-regions
Alarcón, G., Cservenka, A., Rudolph, M. D., Fair, D. A., & Nagel, B. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.013 · Cited by 105
Feinstein, A. B., Sturgeon, J. A., Darnall, B. D., Dunn, A. L., Rico, T., Kao, M. C., & Bhandari, R. P. (2017) · The Journal of Pain · doi:10.1016/j.jpain.2016.10.009 · Cited by 101
Developmental effects of reward on sustained attention networks
Smith, A. B., Halari, R., Giampetro, V., Brammer, M., & Rubia, K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.072 · Cited by 99
Environmental adversities and psychotic symptoms: The impact of timing of trauma, abuse, and neglect
Schalinski, I., Breinlinger, S., Hirt, V., Teicher, M. H., Odenwald, M., & Rockstroh, B. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2017.10.034 · Cited by 95
Libero, L. E., DeRamus, T. P., Deshpande, H. D., & Kana, R. K. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.001 · Cited by 95
Adolescent Vulnerabilities to Chronic Alcohol or Nicotine Exposure: Findings From Rodent Models
Barron, S., White, A., Swartzwelder, H. S., Bell, R. L., Rodd, Z. A., Slawecki, C. J., Ehlers, C. L., Levin, E. D., Rezvani, A. H., & Spear, L. P. (2005) · Alcoholism: Clinical and Experimental Research · doi:10.1097/01.alc.0000179220.79356.e5 · Cited by 90
Brielmaier, J. M., McDonald, C. G., & Smith, R. F. (2007) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2006.09.023 · Cited by 90
Lee, P. S., Foss-Feig, J., Henderson, J. G., Kenworthy, L. E., Gilotty, L., Gaillard, W. D., & Vaidya, C. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.013 · Cited by 89
Increased Activity Imbalance in Fronto-Subcortical Circuits in Adolescents with Major Depression
Jiao, Q., Ding, J., Lu, G., Su, L., Zhang, Z., Wang, Z., Zhong, Y., Li, K., Ding, M., & Liu, Y. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025159 · Cited by 83
Brem, S., Hauser, T. U., Iannaccone, R., Brandeis, D., Drechsler, R., & Walitza, S. (2012) · Journal of Neural Transmission · doi:10.1007/s00702-012-0813-z · Cited by 79
A psychobiological framework of the substrates that mediate nicotine use during adolescence
O'Dell, L. E. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2008.07.039 · Cited by 81
Tamminga, H. G. H., Reneman, L., Huizenga, H. M., & Geurts, H. M. (2016) · Psychological Medicine · doi:10.1017/s0033291716000350 · Cited by 82
Williams, L. E., Oler, J. A., Fox, A. S., McFarlin, D. R., Rogers, G. M., Jesson, M. A., Davidson, R. J., Pine, D. S., & Kalin, N. H. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.328 · Cited by 79
Counotte, D. S., Smit, A. B., Pattij, T., & Spijker, S. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.05.010 · Cited by 77
Neural correlates of incidental and directed facial emotion processing in adolescents and adults
Passarotti, A. M., Sweeney, J. A., & Pavuluri, M. N. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp029 · Cited by 75
Drury, S. S., Sánchez, M. M., & Gonzalez, A. (2016) · Hormones and Behavior · doi:10.1016/j.yhbeh.2015.10.007 · Cited by 72
Development of cortical anatomical properties from early childhood to early adulthood
Nie, J., Li, G., & Shen, D. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.021 · Cited by 70
Kong, G., Smith, A. E., McMahon, T. J., Cavallo, D. A., Schepis, T. S., Desai, R. A., Potenza, M. N., & Krishnan-Sarin, S. (2013) · Journal of Addiction Medicine · doi:10.1097/adm.0b013e31828230ca · Cited by 69
Van Eck, K., Warren, P., & Flory, K. (2017) · Journal of Youth and Adolescence · doi:10.1007/s10964-016-0542-y · Cited by 63
Goriounova, N. A., & Mansvelder, H. D. (2012) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2012.00003 · Cited by 65
Reward Processing in Adolescent Depression Across Neuroimaging Modalities: A Review
O’Callaghan, G., & Stringaris, A. (2019) · Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie · doi:10.1024/1422-4917/a000663 · Cited by 63
Gogliettino, A. R., Potenza, M. N., & Yip, S. W. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.02.015 · Cited by 56
The brain dynamics of intellectual development: Waxing and waning white and gray matter
Tamnes, C. K., Fjell, A. M., Østby, Y., Westlye, L. T., Due-Tønnessen, P., Bjørnerud, A., & Walhovd, K. B. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.09.012 · Cited by 55
Guillery-Girard, B., Martins, S., Deshayes, S., Hertz-Pannier, L., Chiron, C., Jambaqué, I., Landeau, B., Clochon, P., Chételat, G., & Eustache, F. (2013) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2013.00126 · Cited by 53
Sato, J. R., Salum, G. A., Gadelha, A., Vieira, G., Zugman, A., Picon, F. A., Pan, P. M., Hoexter, M. Q., Anés, M., Moura, L. M., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.063 · Cited by 54
Addiction, Adolescence, and Innate Immune Gene Induction
Crews, F. T., & Vetreno, R. P. (2011) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2011.00019 · Cited by 52
Attentional capture by emotional faces in adolescence
Grose-Fifer, J., Rodrigues, A., Hoover, S., & Zottoli, T. (2013) · Advances in Cognitive Psychology · doi:10.5709/acp-0134-9 · Cited by 43
Chung, H.-K., Tymula, A., & Glimcher, P. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.1171-17.2017 · Cited by 40
Lee, N. C., Krabbendam, L., Dekker, S., Boschloo, A., de Groot, R. H. M., & Jolles, J. (2012) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2012.07.001 · Cited by 44
Four Mechanistic Models of Peer Influence on Adolescent Cannabis Use
Caouette, J. D., & Feldstein Ewing, S. W. (2017) · Current Addiction Reports · doi:10.1007/s40429-017-0144-0 · Cited by 42
Strenziok, M., Krueger, F., Heinecke, A., Lenroot, R. K., Knutson, K. M., van der Meer, E., & Grafman, J. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp036 · Cited by 38
Altered Gray Matter in Adolescents with d-Transposition of the Great Arteries
Watson, C. G., Asaro, L. A., Wypij, D., Robertson, R. L., Newburger, J. W., & Rivkin, M. J. (2016) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2015.09.084 · Cited by 36
Adolescent Brain Development and Progressive Legal Responsibility in the Latin American Context
Mercurio, E., García-López, E., Morales-Quintero, L. A., Llamas, N. E., Marinaro, J. Á., & Muñoz, J. M. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00627 · Cited by 33
Jiang, X., Wu, Y., Zhang, K., Bőthe, B., Hong, Y., & Chen, L. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00065 · Cited by 31
Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood
Morriss, J., Christakou, A., & van Reekum, C. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-44150-1 · Cited by 32
Online mental health resources for adolescents: Overview of research and theory
Edwards-Hart, T., & Chester, A. (2010) · Australian Psychologist · doi:10.1080/00050060903584954 · Cited by 29
The role of executive functions in psychiatric disorders
Testa, R., & Pantelis, C. (2009) · The Neuropsychology of Mental Illness · doi:10.1017/cbo9780511642197.012 · Cited by 25
Do mental health clinicians elicit a history of previous trauma in female psychiatric inpatients?
Xiao, C. L., Gavrilidis, E., Lee, S., & Kulkarni, J. (2016) · Journal of Mental Health · doi:10.3109/09638237.2016.1139074 · Cited by 22
Hoegberg, B. G., Lomazzo, E., Lee, N. H., & Perry, D. C. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2015.08.015 · Cited by 17
Media Violence Effects on Brain Development: What Neuroimaging Has Revealed and What Lies Ahead
Hummer, T. A. (2015) · American Behavioral Scientist · doi:10.1177/0002764215596553 · Cited by 17
I don’t want to come back down: Undoing versus maintaining of reward recovery in older adolescents
Gilbert, K. E., Nolen-Hoeksema, S., & Gruber, J. (2016) · Emotion · doi:10.1037/emo0000128 · Cited by 13
A Novel Machine Learning Based Framework for Detection of Autism Spectrum Disorder (ASD)
Sharif, H., & Khan, R. A. (2022) · Applied Artificial Intelligence · doi:10.1080/08839514.2021.2004655 · Cited by 10
Stojanovic, T., Velarde Gamez, D., Schuld, G. J., Bormann, D., Cabatic, M., Uhrin, P., Lubec, G., & Monje, F. J. (2022) · Cells · doi:10.3390/cells11020261 · Cited by 8
A 4-year longitudinal study investigating the relationship between flexible school starts and grades
Biller, A. M., Molenda, C., Obster, F., Zerbini, G., Förtsch, C., Roenneberg, T., & Winnebeck, E. C. (2022) · Scientific Reports · doi:10.1038/s41598-022-06804-5 · Cited by 10
Metadata
- Authors
- GIEDD, J. N.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- GIEDD, JAY N.
- ORCID
- GIEDD, JAY N.
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2004-06
- Volume
- 1021
- Issue
- 1
- Pages
- 77-85
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W2146473511
- Cited by
- 1,610
- References
- 52
- Citations by year
- 2026: 27 · 2025: 51 · 2024: 49 · 2023: 56 · 2022: 69 · 2021: 59 · 2020: 62 · 2019: 75 · 2018: 74 · 2017: 74 · 2016: 101 · 2015: 116 · 2014: 103 · 2013: 106 · 2012: 95
- FWCI
- 22.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of the New York Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- adolescent brain development, brain morphometry, white matter maturation, gray matter volume, frontal lobe maturation, prefrontal cortex maturation, sex differences in brain development, longitudinal neuroimaging
- MeSH terms
- Adolescent, Adult, Age Factors, Brain, Brain Mapping, Child, Female, Follow-Up Studies, Humans, Image Processing, Computer-Assisted, Functional Laterality, Magnetic Resonance Imaging, Male, Sex Factors
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