The DOI matches its Crossref record; 61 of the 62 references it cites were found in a registry or an index.
Child Psychiatry Branch of the National Institute of Mental Health Longitudinal Structural Magnetic Resonance Imaging Study of Human Brain Development
Open accessAbstract
The advent of magnetic resonance imaging, which safely allows in vivo quantification of anatomical and physiological features of the brain, has revolutionized pediatric neuroscience. Longitudinal studies are useful for the characterization of developmental trajectories (ie, changes in imaging measures by age). Developmental trajectories (as opposed to static measures) have proven to have greater power in discriminating healthy from clinical groups and in predicting cognitive/behavioral measures, such as IQ. Here we summarize results from an ongoing longitudinal pediatric neuroimaging study that has been conducted at the Child Psychiatry Branch of the National Institute of Mental Health since 1989. Developmental trajectories of structural MRI brain measures from healthy youth are compared and contrasted with trajectories in attention-deficit/hyperactivity disorder (ADHD) and childhood-onset schizophrenia. Across ages 5-25 years, in both healthy and clinical populations, white matter volumes increase and gray matter volumes follow an inverted U trajectory, with peak size occurring at different times in different regions. At a group level, differences related to psychopathology are seen for gray and white matter volumes, rates of change, and for interconnectedness among disparate brain regions.
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“In a large-scale longitudinal pediatric neuroimaging study, brain maturation was found to continue after adolescence: post-adolescent increases in white matter are linear while the changes in the cortical gray matter are non-linear.”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [28]
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“Cortical white matter in particular continues to increase into the mid-twenties, which is likely related to the efficiency and speed of cortical connectivity (27, 28).”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [28]
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“Cortical white matter in particular continues to increase into the mid-twenties, which is likely related to the efficiency and speed of cortical connectivity (27, 28).”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [28]
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Cites
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Dynamic mapping of human cortical development during childhood through early adulthood
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“(Gogtay et al, 2004).”
Self-citationAttention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation
Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J. P., Greenstein, D., Clasen, L., Evans, A., Giedd, J., & Rapoport, J. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707741104 · Cited by 1,819
Self-citationCastellanos, F. X. (2002) · JAMA · doi:10.1001/jama.288.14.1740 · Cited by 1,646
Schmahmann, J. D. (2004) · Journal of Neuropsychiatry · doi:10.1176/jnp.16.3.367 · Cited by 1,493
White matter in learning, cognition, and psychiatric disorders
Fields, R. D. (2008) · Trends in Neurosciences · doi:10.1016/j.tins.2008.04.001 · Cited by 1,337
Sexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309
Self-citationLinked Regularities in the Development and Evolution of Mammalian Brains
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“This reclassification from GM to WM would not necessarily entail changes in the number of synapses (Sowell et al, 2001).”
BackgroundGenetic Heterogeneity in Human Disease
McClellan, J., & King, M.-C. (2010) · Cell · doi:10.1016/j.cell.2010.03.032 · Cited by 981
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Tamnes, C. K., Herting, M. M., Goddings, A.-L., Meuwese, R., Blakemore, S.-J., Dahl, R. E., Güroğlu, B., Raznahan, A., Sowell, E. R., Crone, E. A., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3302-16.2017 · Cited by 685
Self-citationSeidlitz, J., Váša, F., Shinn, M., Romero-García, R., Whitaker, K. J., Vértes, P. E., Wagstyl, K., Reardon, P. K., CLASEN, L. S., Liu, S., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.039 · Cited by 496
Self-citationIrritability in Youths: A Translational Model
Brotman, M. A., Kircanski, K., Stringaris, A. K., Pine, D. S., & Leibenluft, E. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16070839 · Cited by 381
Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders
Seidlitz, J., Nadig, A., Liu, S., Bethlehem, R. A. I., Vértes, P. E., Morgan, S. E., Váša, F., Romero-García, R., Lalonde, F. M., CLASEN, L. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17051-5 · Cited by 349
Self-citationBora, E., & Pantelis, C. (2015) · Psychological Medicine · doi:10.1017/s0033291715002573 · Cited by 360
Metadata
- Authors
- Giedd, J. N., Raznahan, A., Alexander-Bloch, A., Schmitt, E., Gogtay, N., & Rapoport, J. L.
- Affiliations
- National Institute of Mental Health (US)
- Corresponding author
- Giedd, Jay N
- Venue
- Neuropsychopharmacology
- Published
- 2014-09-08
- Volume
- 40
- Issue
- 1
- Pages
- 43-49
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- PMC
- PMC4262916
- OpenAlex
- W2079227251
- Cited by
- 297
- References
- 62
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 21 · 2023: 28 · 2022: 20 · 2021: 23 · 2020: 31 · 2019: 27 · 2018: 51 · 2017: 33 · 2016: 25 · 2015: 19 · 2014: 2
- FWCI
- 2.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neuropsychopharmacology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- brain development, developmental trajectories, structural MRI, white matter volume, gray matter volume, inverted U-shaped relationship, attention deficit hyperactivity disorder, childhood schizophrenia, healthy youth, longitudinal neuroimaging, brain connectivity
- MeSH terms
- Mental Disorders, Brain, Child, Humans, Longitudinal Studies, Magnetic Resonance Imaging, National Institute of Mental Health (U.S.), United States
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