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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
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391
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 · cited 1×
“(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
Finlay, B. L., & Darlington, R. B. (1995) · Science · doi:10.1126/science.7777856 · Cited by 1,217
Sowell, E. R., Thompson, P. M., Tessner, K. D., & Toga, A. W. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-22-08819.2001 · Cited by 983 · cited 1×
“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
New Insights into Neuron-Glia Communication
Fields, R. D., & Stevens, B. (2002) · Science · doi:10.1126/science.298.5593.556 · Cited by 975
The reduced neuropil hypothesis: a circuit based model of schizophrenia
Selemon, L. D., & Goldman-Rakic, P. S. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(98)00281-9 · Cited by 909
Growth patterns in the developing brain detected by using continuum mechanical tensor maps
Thompson, P. M., Giedd, J. N., Woods, R. P., MacDonald, D., Evans, A. C., & Toga, A. W. (2000) · Nature · doi:10.1038/35004593 · Cited by 850
Self-citationThompson, P. M., Vidal, C., Giedd, J. N., Gochman, P., Blumenthal, J., Nicolson, R., Toga, A. W., & Rapoport, J. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.201243998 · Cited by 812
Self-citationNagy, Z., Westerberg, H., & Klingberg, T. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929041920441 · Cited by 794
A universal scaling law between gray matter and white matter of cerebral cortex
Zhang, K., & Sejnowski, T. J. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.090504197 · Cited by 723
Shaw, P., Lerch, J., Greenstein, D., Sharp, W., Clasen, L., Evans, A., Giedd, J., Castellanos, F. X., & Rapoport, J. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.5.540 · Cited by 703
Self-citationWhite matter maturation reshapes structural connectivity in the late developing human brain
Hagmann, P., Sporns, O., Madan, N., Cammoun, L., Pienaar, R., Wedeen, V. J., Meuli, R., Thiran, J.-P., & Grant, P. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009073107 · Cited by 700
Levine, M. P., & Smolak, L. (2006) · Psychology Press eBooks · doi:10.4324/9781410613189-11 · Cited by 697
Weinberger, D. R., Berman, K. F., Suddath, R. L., & Torrey, E. F. (1992) · American Journal of Psychiatry · doi:10.1176/ajp.149.7.890 · Cited by 669
Cortical abnormalities in children and adolescents with attention-deficit hyperactivity disorder
Sowell, E. R., Thompson, P. M., Welcome, S. E., Henkenius, A. L., Toga, A. W., & Peterson, B. S. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14842-8 · Cited by 567
Cerebellum in attention-deficit hyperactivity disorder: A morphometric MRI study
Berquin, P. C., Giedd, J. N., Jacobsen, L. K., Hamburger, S. D., Krain, A. L., Rapoport, J. L., & Castellanos, F. X. (1998) · Neurology · doi:10.1212/wnl.50.4.1087 · Cited by 564 · cited 1×
“…46 REVIEW .............................................................................................................................................. Neuropsychopharmacology REVIEWS corpus callosum (Giedd et al, 1994), and cerebellum (Berquin et al, 1998).”
Self-citationHerculano-Houzel, S., & Lent, R. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.4526-04.2005 · Cited by 551
Frontostriatal Microstructure Modulates Efficient Recruitment of Cognitive Control
Liston, C., Watts, R., Tottenham, N., Davidson, M. C., Niogi, S., Ulug, A. M., & Casey, B. J. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj003 · Cited by 477
Cerebellum development during childhood and adolescence: A longitudinal morphometric MRI study
Tiemeier, H. W., Lenroot, R., GREENSTEIN, D. K., Tran, L., Pierson, R. K., & Giedd, J. N. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.016 · Cited by 463
Self-citationQuantitative morphology of the caudate nucleus in attention deficit hyperactivity disorder
Castellanos, F. X., Giedd, J. N., Eckburg, P. B., Marsh, W., Vaituzis, A. C., Kaysen, D. L., Hamburger, S. D., & Rapoport, J. L. (1994) · American Journal of Psychiatry · doi:10.1176/ajp.151.12.1791 · Cited by 432
Self-citationHuman behavior and the developing brain
Dawson, G., & Fischer, K. W. (1994) · Cited by 425
Sex Differences in Temporo-limbic and Frontal Brain Volumes of Healthy Adults
Gur, R. C. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.9.998 · Cited by 422
Quantitative morphology of the corpus callosum in attention deficit hyperactivity disorder
Giedd, J. N., Castellanos, F. X., Casey, B. J., Kozuch, P. L., King, A. C., Hamburger, S. D., & Rapoport, J. L. (1994) · American Journal of Psychiatry · doi:10.1176/ajp.151.5.665 · Cited by 422
Self-citationSexual dimorphism and asymmetries in the gray–white composition of the human cerebrum
Allen, J. S., Damásio, H., Grabowski, T. J., Bruss, J., & Zhang, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00034-x · Cited by 407
Age and sex effects for emotional intensity.
Diener, E., Sandvik, E., & Larsen, R. J. (1985) · Developmental Psychology · doi:10.1037/0012-1649.21.3.542 · Cited by 405
Brain maturation in adolescence: concurrent changes in neuroanatomy and neurophysiology
Whitford, T. J., Rennie, C. J., Grieve, S. M., Clark, C. R., Gordon, E., & Williams, L. M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20273 · Cited by 391
Deutsch, G. K., Dougherty, R. F., Bammer, R., Siok, W. T., Gabrieli, J. D. E., & Wandell, B. A. (2005) · Cortex · doi:10.1016/s0010-9452(08)70272-7 · Cited by 380
Cerebellar Development and Clinical Outcome in Attention Deficit Hyperactivity Disorder
Mackie, S. E., Shaw, P., Lenroot, R., Pierson, R. K., GREENSTEIN, D. K., Nugent, T. F., Sharp, W. S., Giedd, J. N., & Rapoport, J. L. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.4.647 · Cited by 338
Self-citationCerebellar development and clinical outcome in attention deficit hyperactivity disorder
Mackie, S., Shaw, P., Lenroot, R., Pierson, R., Greenstein, D. K., Nugent, T. F., Sharp, W. S., Giedd, J. N., & Rapoport, J. L. (2007) · American Journal of Psychiatry · doi:10.1176/appi.ajp.164.4.647 · Cited by 333
Self-citationBrain imaging of attention deficit/hyperactivity disorder
GIEDD, J. N., BLUMENTHAL, J., MOLLOY, E., & CASTELLANOS, F. X. (2001) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2001.tb05772.x · Cited by 331
Self-citationLenroot, R. K., Schmitt, J. E., Ordaz, S. J., Wallace, G. L., Neale, M. C., Lerch, J. P., Kendler, K. S., Evans, A. C., & Giedd, J. N. (2009) · Human Brain Mapping · doi:10.1002/hbm.20494 · Cited by 320
Self-citationLongitudinal four-dimensional mapping of subcortical anatomy in human development
Raznahan, A., Shaw, P. W., Lerch, J. P., Clasen, L. S., Greenstein, D., Berman, R., Pipitone, J., Chakravarty, M. M., & Giedd, J. N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316911111 · Cited by 312
Self-citationSize Matters: Cerebral Volume Influences Sex Differences in Neuroanatomy
Leonard, C. M., Towler, S., Welcome, S., Halderman, L. K., Otto, R., Eckert, M. A., & Chiarello, C. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn052 · Cited by 280
Psychostimulant treatment and the developing cortex in attention deficit hyperactivity disorder
Shaw, P., Sharp, W. S., Morrison, M., Eckstrand, K., Greenstein, D. K., Clasen, L. S., Evans, A. C., & Rapoport, J. L. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08050781 · Cited by 261
Self-citationShaw, P., Gornick, M., Lerch, J., Addington, A., Seal, J., Greenstein, D., Sharp, W., Evans, A., Giedd, J. N., Castellanos, F. X., et al. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.8.921 · Cited by 242
Self-citationHuman Behavior and the Developing Brain
Unis, A. S. (1995) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199509000-00028 · Cited by 186
A pediatric twin study of brain morphometry.
Wallace, G. L., Schmitt, J. E., Lenroot, R., Viding, E., Ordaz, S. E., Rosenthal, M. A., Molloy, E. A., Clasen, L., Kendler, K., Neale, M., et al. (2006) · Journal of Child Psychology and Psychiatry and Allied Disciplines · doi:10.1111/j.1469-7610.2006.01676.x · Cited by 164
Self-citation(1947) · JAMA · doi:10.1001/jama.1947.02880140070035 · Cited by 163
Androgen Binding and Metabolism in the Cerebral Cortex of the Developing Rhesus Monkey*
Clark, A. S., MacLusky, N. J., & Goldman‐Rakic, P. S. (1988) · Endocrinology · doi:10.1210/endo-123-2-932 · Cited by 155
Giedd, J. N., CLASEN, L. S., Wallace, G. L., Lenroot, R., Lerch, J. P., Wells, E. M., Blumenthal, J. D., Nelson, J. E., Tossell, J. W., Stayer, C., et al. (2007) · PEDIATRICS · doi:10.1542/peds.2005-2969 · Cited by 141
Self-citationMerke, D. P., Fields, J. D., Keil, M. F., Vaituzis, A. C., Chrousos, G. P., & Giedd, J. N. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-021730 · Cited by 138
Self-citationVariability of human brain structure size: ages 4–20 years
Lange, N., Giedd, J. N., Xavier Castellanos, F., Vaituzis, A. C., & Rapoport, J. L. (1997) · Psychiatry Research: Neuroimaging · doi:10.1016/s0925-4927(96)03054-5 · Cited by 134
Self-citationMerke, D. P., Giedd, J. N., Keil, M. F., Mehlinger, S. L., Wiggs, E. A., Holzer, S., Rawson, E., Vaituzis, A. C., Stratakis, C. A., & Chrousos, G. P. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-2488 · Cited by 129
Self-citationBrain Size and Number of Neurons: An Exercise in Synthetic Neuroanatomy
Braitenberg, V. (2001) · Journal of Computational Neuroscience · doi:10.1023/a:1008920127052 · Cited by 125
Gogtay, N., Lu, A., Leow, A. D., Klunder, A. D., Lee, A. D., Chavez, A., Greenstein, D., Giedd, J. N., Toga, A. W., Rapoport, J. L., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806485105 · Cited by 125
Self-citationMorse, J. K., Scheff, S. W., & DeKosky, S. T. (1986) · Experimental Neurology · doi:10.1016/0014-4886(86)90244-x · Cited by 112
The dynamic role of genetics on cortical patterning during childhood and adolescence
Schmitt, J. E., Neale, M. C., Fassassi, B., Perez, J., Lenroot, R. K., Wells, E. M., & Giedd, J. N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311630111 · Cited by 103
Self-citationA multivariate analysis of neuroanatomic relationships in a genetically informative pediatric sample
Schmitt, J. E., Wallace, G. L., Rosenthal, M. A., Molloy, E. A., Ordaz, S. E., Lenroot, R., Clasen, L., Blumenthal, J., Kendler, K., Neale, M., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.04.232 · Cited by 76
Self-citationClinically detectable copy number variations in a Canadian catchment population of schizophrenia
Bassett, A. S., Costain, G., Fung, W. L. A., Russell, K. J., Pierce, L., Kapadia, R. K., Carter, R. F., Chow, E. W. C., & Forsythe, P. (2010) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2010.06.013 · Cited by 74
Trajectories of Anatomic Brain Development as a Phenotype
Giedd, J. N., Lenroot, R., Shaw, P., Lalonde, F. M., Celano, M. J., White, S., Tossell, J. W., Addington, A. M., & Gogtay, N. (2008) · Novartis Foundation symposium · doi:10.1002/9780470751251.ch9 · Cited by 71
Self-citationChildhood-Onset Schizophrenia: Insights From Neuroimaging Studies
Gerber, A. J., Peterson, B. S., Gogtay, N., & Rapoport, J. L. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e31817eed7a · Cited by 59
Self-citationRogers, D. (1962) · Cited by 47
Anatomic Brain Imaging Studies of Normal and Abnormal Brain Development in Children and Adolescents
Giedd, J. N., Shaw, P., Wallace, G. L., Gogtay, N., & Lenroot, R. (2015) · Wiley eBooks · doi:10.1002/9780470939390.ch3 · Cited by 9
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Castellanos, F. X., Giedd, J. N., Eckburg, P. B., Marsh, W., Kozuch, P. L., King, A. C., Hamburger, S. D., Rithcie, G. F., & Rapoport, J. L. (1994) · Biological Psychiatry · doi:10.1016/0006-3223(94)91052-9 · Cited by 3
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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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