Heterogeneity in Subcortical Brain Development: A Structural Magnetic Resonance Imaging Study of Brain Maturation from 8 to 30 Years
Open accessAbstract
Brain development during late childhood and adolescence is characterized by decreases in gray matter (GM) and increases in white matter (WM) and ventricular volume. The dynamic nature of development across different structures is, however, not well understood, and the present magnetic resonance imaging study took advantage of a whole-brain segmentation approach to describe the developmental trajectories of 16 neuroanatomical volumes in the same sample of children, adolescents, and young adults (n= 171; range, 8–30 years). The cerebral cortex, cerebral WM, caudate, putamen, pallidum, accumbens area, hippocampus, amygdala, thalamus, brainstem, cerebellar GM, cerebellar WM, lateral ventricles, inferior lateral ventricles, third ventricle, and fourth ventricle were studied. The cerebral cortex was further analyzed in terms of lobar thickness and surface area. The results revealed substantial heterogeneity in developmental trajectories. GM decreased nonlinearly in the cerebral cortex and linearly in the caudate, putamen, pallidum, accumbens, and cerebellar GM, whereas the amygdala and hippocampus showed slight, nonlinear increases in GM volume. WM increased nonlinearly in both the cerebrum and cerebellum, with an earlier maturation in cerebellar WM. In addition to similarities in developmental trajectories within subcortical regions, our results also point to differences between structures within the same regions: among the basal ganglia, the caudate showed a weaker relationship with age than the putamen and pallidum, and in the cerebellum, differences were found between GM and WM development. These results emphasize the importance of studying a wide range of structural variables in the same sample, for a broader understanding of brain developmental principles.
Integrity signals
Registry
Cites
Statistics
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?
Limbic structures, including the amygdala, show emerging functional and structural maturity by early adolescence.
“Limbic structures, including the amygdala, demonstrate emerging functional and structural maturity by early adolescence (Giedd et al., 1996, Ostby et al., 2009, Wierenga et al., 2014);”
From Developmental sex differences in resting state functional connectivity of amygdala sub-regions (2015) · cites this paper as Ostby et al., 2009
Improved connectivity is largely a result of a linear increase in white matter volume and density in adolescence, which decelerates into adulthood.
“This improved connectivity is largely a result of a linear increase in white matter volume and density in adolescence; however, this decelerates into adulthood (Giedd et al., 1999, Ostby et al., 2009, Tamnes et al., 2013).”
From Neurocognitive bases of emotion regulation development in adolescence (2015) · cites this paper as Ostby et al., 2009
Frontal lobe grey matter density peaks around puberty onset (age 11 in girls and 12 in boys).
“peaking around puberty onset in the frontal lobe (age 11 in girls and 12 in boys)”
From The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies (2011) · cites this paper as Ostby et al., 2009
White matter volume and density increase across the brain.
“Secondly, white matter volume and density increase across the brain.”
From The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies (2011) · cites this paper as Ostby et al., 2009
Temporal lobe grey matter density peaks around 16-17 years.
“and at around 16–17 years in the temporal lobe”
From The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies (2011) · cites this paper as Ostby et al., 2009
These peaks in grey matter density are followed by an extended profile of decline throughout the remainder of adolescence and early adulthood.
“These peaks in grey matter density are followed by an extended profile of decline throughout the remainder of adolescence and early adulthood (Giedd et al., 1999; Sowell et al., 1999, 2002; Ostby et al., 2009).”
From The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies (2011) · cites this paper as Ostby et al., 2009
Grey matter density in the frontal and temporal lobes follows an inverted-U shaped pattern of development.
“Grey matter density in the frontal and temporal lobes has been reported to follow an inverted-U shaped pattern of development, peaking around puberty onset in the frontal lobe (age 11 in girls and 12 in boys), and at around 16–17 years in the temporal lobe.”
From The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies (2011) · cites this paper as Ostby et al., 2009
White matter volume increase is linear during the second decade of life, decelerating into adulthood.
“By many accounts, this increase is linear during the second decade of life, decelerating into adulthood (Giedd et al., 1999; Ostby et al., 2009; Paus et al., 1999).”
From The social brain in adolescence: evidence from functional magnetic resonance imaging and behavioural studies (2011) · cites this paper as Ostby et al., 2009
Others have found normative increases in the volume of the amygdala over the adolescent years.
“others have found normative increases in the volume of this structure over the adolescent years (e.g., Ostby et al., 2009).”
From Positive parenting predicts the development of adolescent brain structure: a longitudinal study (2014) · cites this paper as Ostby et al., 2009
The amygdala shows linear increases in grey matter across late childhood and adolescence.
“Moreover, the amygdala and mPFC undergo substantial structural change during development: the amygdala shows linear increases in grey matter across late childhood and adolescence, while the mPFC is characterised by quadratic changes, with substantial grey matter growth across childhood followed by grey matter pruning across adolescence19–21.”
From Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood (2019) · cites this paper as [19]
The mPFC is characterised by quadratic changes in grey matter across development, with substantial grey matter growth across childhood followed by grey matter pruning across adolescence.
“Moreover, the amygdala and mPFC undergo substantial structural change during development: the amygdala shows linear increases in grey matter across late childhood and adolescence, while the mPFC is characterised by quadratic changes, with substantial grey matter growth across childhood followed by grey matter pruning across adolescence19–21.”
From Multimodal evidence for delayed threat extinction learning in adolescence and young adulthood (2019) · cites this paper as [19]
Cites
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · see citing works
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,789 · see citing works
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 3× · see citing works
“during late childhood and adolescence (Jernigan et al., 1991; Giedd et al., 1996b, 1999; Reiss et al., 1996; Sowell et al., 1999, 2002; Gogtay et al., 2004; Lenroot et al., 2007; Shaw et al., 2008), while simultaneously pointing to important nuances in subcortical development.”
BackgroundBrain 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 · see citing works
Wechsler Abbreviated Scale of Intelligence
Dumont, R., Willis, J. O., Veizel, K., & Zibulsky, J. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese2519 · Cited by 5,547 · see citing works
Wechsler Abbreviated Scale of Intelligence
Wechsler, D. (1999) · PsycTESTS Dataset · doi:10.1037/t15170-000 · Cited by 4,681 · see citing works
A hybrid approach to the skull stripping problem in MRI
Ségonne, F., Dale, A. M., Busa, E., Glessner, M., Salat, D. H., Hahn, H., & Fischl, B. R. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.032 · Cited by 2,227 · see citing works
Sequence-independent segmentation of magnetic resonance images
Fischl, B. R., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Ségonne, F., Quinn, B. T., & Dale, A. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.016 · Cited by 2,117 · see citing works
Fischl, B. R., Liu, A., & Dale, A. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906426 · Cited by 1,755 · see citing works
Neurodevelopmental Trajectories of the Human Cerebral Cortex
Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5309-07.2008 · Cited by 1,644 · see citing works
Structural magnetic resonance imaging of the adolescent brain
GIEDD, J. N. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.009 · Cited by 1,610 · see citing works
Han, X., Jovicich, J., Salat, D., van der Kouwe, A., Quinn, B., Czanner, S., Busa, E., Pacheco, J., Albert, M., Killiany, R., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.051 · Cited by 1,508 · see citing works
Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481 · see citing works
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 · see citing works
Microstructural maturation of the human brain from childhood to adulthood
Lebel, C., Walker, L., Leemans, A., Phillips, L., & Beaulieu, C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.053 · Cited by 1,398 · see citing works
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 · see citing works
Distinct Genetic Influences on Cortical Surface Area and Cortical Thickness
Panizzon, M. S., Fennema-Notestine, C., Eyler, L. T., Jernigan, T. L., Prom-Wormley, E., Neale, M., Jacobson, K., Lyons, M. J., Grant, M. D., Franz, C. E., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp026 · Cited by 1,304 · see citing works
Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., & Casey, B. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1062-06.2006 · Cited by 1,282 · see citing works
Morphometric study of human cerebral cortex development
Huttenlocher, P. R. (1990) · Neuropsychologia · doi:10.1016/0028-3932(90)90031-i · Cited by 1,239 · see citing works
A Structural MRI Study of Human Brain Development from Birth to 2 Years
Knickmeyer, R. C., Gouttard, S., Kang, C., Evans, D., Wilber, K., Smith, J. K., Hamer, R. M., Lin, W., Gerig, G., & Gilmore, J. H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3479-08.2008 · Cited by 1,151 · see citing works
Regional and progressive thinning of the cortical ribbon in Huntington’s disease
Rosas, H. D., Liu, A. K., Hersch, S., Glessner, M., Ferrante, R. J., Salat, D. H., van der Kouwe, A., Jenkins, B. G., Dale, A. M., & Fischl, B. (2002) · Neurology · doi:10.1212/wnl.58.5.695 · Cited by 1,044 · see citing works
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 · see citing works
Toga, A. W., Thompson, P. M., & Sowell, E. R. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.01.007 · Cited by 872 · see citing works
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 867 · see citing works
Maturation of white matter in the human brain: A review of magnetic resonance studies.
Paus, T., Collins, D. L., Evans, A. C., Leonard, G., Pike, B., & Zijdenbos, A. (2001) · Brain Research Bulletin · doi:10.1016/s0361-9230(00)00434-2 · Cited by 863 · see citing works
Barnea-Goraly, N., Menon, V., Eckert, M., Tamm, L., Bammer, R., Karchemskiy, A., Dant, C. C., & Reiss, A. L. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi062 · Cited by 848 · see citing works
Tamnes, C. K., Østby, Y., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp118 · Cited by 779 · see citing works
Self-citationThe teen brain: insights from neuroimaging
Giedd, J. N. (2008) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2008.01.007 · Cited by 775 · see citing works
Sowell, E. R., Trauner, D. A., Gamst, A., & Jernigan, T. L. (2002) · Developmental Medicine and Child Neurology · doi:10.1017/s0012162201001591 · Cited by 701 · see citing works
Sowell, E. R., Peterson, B. S., Kan, E., Woods, R. P., Yoshii, J., Bansal, R., Xu, D., Zhu, H., Thompson, P. M., & Toga, A. W. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl066 · Cited by 695 · see citing works
Effects of age on volumes of cortex, white matter and subcortical structures
Walhovd, K. B., Fjell, A. M., Reinvang, I., Lundervold, A., Dale, A. M., Eilertsen, D. E., Quinn, B. T., Salat, D. H., Makris, N., & Fischl, B. R. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.05.020 · Cited by 647 · see citing works
Self-citationJovicich, J., Czanner, S., Han, X., Salat, D. H., van der Kouwe, A. J. W., Quinn, B. T., Pacheco, J., Albert, M., Killiany, R., & Blacker, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.010 · Cited by 549 · see citing works
Sexual dimorphism of the developing human brain
Giedd, J. N., Castellanos, F. X., Rajapakse, J. C., Vaituzis, A. C., & Rapoport, J. L. (1997) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/s0278-5846(97)00158-9 · Cited by 500 · see citing works
Krain, A. L., & Castellanos, F. X. (2006) · Clinical Psychology Review · doi:10.1016/j.cpr.2006.01.005 · Cited by 495 · see citing works
MATURATION OF HUMAN CEREBRUM OBSERVED <i>IN VIVO</i> DURING ADOLESCENCE
JERNIGAN, T. L., TRAUNER, D. A., HESSELINK, J. R., & TALLAL, P. A. (1991) · Brain · doi:10.1093/brain/114.5.2037 · Cited by 444 · see citing works
Dynamic mapping of normal human hippocampal development
Gogtay, N., Nugent, T. F., Herman, D. H., Ordonez, A., Greenstein, D., Hayashi, K. M., Clasen, L., Toga, A. W., Giedd, J. N., Rapoport, J. L., et al. (2006) · Hippocampus · doi:10.1002/hipo.20193 · Cited by 426 · see citing works
Cerebellar 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 · see citing works
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 332 · see citing works
Dickerson, B. C., Fenstermacher, E., Salat, D. H., Wolk, D. A., Maguire, R. P., Desikan, R., Pacheco, J., Quinn, B. T., Van der Kouwe, A., Greve, D. N., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.042 · Cited by 290 · see citing works
Changes in white matter microstructure during adolescence
Giorgio, A., Watkins, K. E., Douaud, G., James, A. C., James, S., De Stefano, N., Matthews, P. M., Smith, S. M., & Johansen-Berg, H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.043 · Cited by 278 · see citing works
Tae, W., Kim, S. S., Lee, K. U., Nam, E., & Kim, K. W. (2008) · Neuroradiology · doi:10.1007/s00234-008-0383-9 · Cited by 242 · see citing works
Ashtari, M., Cervellione, K. L., Hasan, K. M., Wu, J., McIlree, C., Kester, H. M., Ardekani, B. A., Roofeh, D., Szeszko, P. R., & Kumra, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.047 · Cited by 221 · see citing works
Global and local development of gray and white matter volume in normal children and adolescents
Wilke, M., Krägeloh‐Mann, I., & Holland, S. K. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0732-z · Cited by 178 · see citing works
Unsolved Problems in Comparing Brain Sizes in Homo Sapiens
Peters, M., Jäncke, L., Staiger, J. F., Gottfried Schlaug, A., Huang, Y., & Steinmetz, H. (1998) · Brain and Cognition · doi:10.1006/brcg.1998.0983 · Cited by 173 · see citing works
Liu, R. S. N., Lemieux, L., Bell, G. S., Sisodiya, S. M., Shorvon, S. D., Sander, J. W. A. S., & Duncan, J. S. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00219-2 · Cited by 168 · see citing works
Developmental neural networks in children performing a Categorical N-Back Task
Ciesielski, K. T. R., Lesnik, P. G., Savoy, R. L., Grant, P. E., & Ahlfors, S. P. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.028 · Cited by 152 · see citing works
Maturation of medial temporal lobe response and connectivity during memory encoding
Menon, V., Anderson, J. M. B., & Reiss, A. L. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.07.007 · Cited by 137 · see citing works
Structural brain magnetic resonance imaging of pediatric twins
Giedd, J. N., Schmitt, J. E., & Neale, M. C. (2007) · Human Brain Mapping · doi:10.1002/hbm.20403 · Cited by 72 · see citing works
Brain development in Chinese children and adolescents: a structural MRI study
Guo, X., Chen, C., Chen, K., Jin, Z. H., Peng, D., & Yao, L. (2007) · Neuroreport · doi:10.1097/wnr.0b013e328152777e · Cited by 30 · see citing works
Giedd (1996) · doi:10.1002/(sici)1096-9861(19960304)366:2
High-resolution intersubject averaging and a coordinate system for the cortical surface
Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4
Flagged first, then by citations
Cited by
Sorted by citations
Understanding adolescence as a period of social–affective engagement and goal flexibility
Crone, E. A., & Dahl, R. E. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3313 · Cited by 2,507 · see citing works
The basics of brain development
Stiles, J., & Jernigan, T. L. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9148-4 · Cited by 2,009 · see citing works
Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765 · see citing works
Self-citationRaznahan, A., Shaw, P., Lalonde, F., Stockman, M., Wallace, G. L., Greenstein, D., Clasen, L., Gogtay, N., & Giedd, J. N. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.0054-11.2011 · Cited by 712 · see citing works
Behavioral problems after early life stress: contributions of the hippocampus and amygdala
Hanson, J. L., Nacewicz, B. M., Sutterer, M. J., Cayo, A. A., Schaefer, S. M., Rudolph, K. D., Shirtcliff, E. A., Pollak, S. D., & Davidson, R. J. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.04.020 · Cited by 627 · see citing works
Imaging brain development: The adolescent brain
Blakemore, S.-J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.080 · Cited by 649 · see citing works
Neurocognitive bases of emotion regulation development in adolescence
Ahmed, S. P., Bittencourt-Hewitt, A., & Sebastian, C. L. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.006 · Cited by 621 · see citing works
<scp>N</scp> icotine and the adolescent brain
Yuan, M., Cross, S. J., Loughlin, S. E., & Leslie, F. M. (2015) · The Journal of Physiology · doi:10.1113/jp270492 · Cited by 582 · see citing works
Neural correlates of socioeconomic status in the developing human brain
Noble, K. G., Houston, S. M., Kan, E., & Sowell, E. R. (2012) · Developmental Science · doi:10.1111/j.1467-7687.2012.01147.x · Cited by 542 · see citing works
Storsve, A. B., Fjell, A. M., Tamnes, C. K., Westlye, L. T., Overbye, K., Aasland, H. W., & Walhovd, K. B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0391-14.2014 · Cited by 542 · see citing works
Self-citationLongitudinal Development of Cortical and Subcortical Gray Matter from Birth to 2 Years
Gilmore, J. H., Shi, F., Woolson, S. L., Knickmeyer, R. C., Short, S. J., Lin, W., Zhu, H., Hamer, R. M., Styner, M., & Shen, D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr327 · Cited by 456 · see citing works
Developmental changes in the structure of the social brain in late childhood and adolescence
Mills, K. L., Lalonde, F., Clasen, L. S., Giedd, J. N., & Blakemore, S.-J. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss113 · Cited by 452 · see citing works
Variation in neural development as a result of exposure to institutionalization early in childhood
Sheridan, M. A., Fox, N. A., Zeanah, C. H., McLaughlin, K. A., & Nelson, C. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200041109 · Cited by 432 · see citing works
Future Directions in Emotion Dysregulation and Youth Psychopathology
Beauchaine, T. P. (2015) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2015.1038827 · Cited by 394 · see citing works
Burnett, S., Sebastian, C., Cohen Kadosh, K., & Blakemore, S.-J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.10.011 · Cited by 391 · see citing works
Gray matter abnormalities in childhood maltreatment: a voxel-wise meta-analysis
Lim, L., Radua, J., & Rubia, K. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.13101427 · Cited by 336 · see citing works
Neuroanatomical Assessment of Biological Maturity
Brown, T. T., Kuperman, J. M., Chung, Y., Erhart, M., McCabe, C., Hagler, D. J., Venkatraman, V. K., Akshoomoff, N., Amaral, D. G., Bloss, C. S., et al. (2012) · Current Biology · doi:10.1016/j.cub.2012.07.002 · Cited by 332 · see citing works
Brain development and aging: Overlapping and unique patterns of change
Tamnes, C. K., Walhovd, K. B., Dale, A. M., Østby, Y., Grydeland, H., Richardson, G., Westlye, L. T., Roddey, J. C., Hagler, D. J., Due-Tønnessen, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.039 · Cited by 287 · see citing works
Self-citationMcLaughlin, K. A., Sheridan, M. A., Winter, W., Fox, N. A., Zeanah, C. H., & Nelson, C. A. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.08.016 · Cited by 288 · see citing works
Pfeifer, J. H., & Allen, N. B. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.011 · Cited by 299 · see citing works
Typical development of basal ganglia, hippocampus, amygdala and cerebellum from age 7 to 24
Wierenga, L., Langen, M., Ambrosino, S., van Dijk, S., Oranje, B., & Durston, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.072 · Cited by 294 · see citing works
Positive parenting predicts the development of adolescent brain structure: a longitudinal study
Whittle, S., Simmons, J. G., Dennison, M., Vijayakumar, N., Schwartz, O., Yap, M. B. H., Sheeber, L., & Allen, N. B. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.10.006 · Cited by 279 · see citing works
Morey, R. A., Haswell, C. C., Hooper, S. R., & De Bellis, M. D. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.205 · Cited by 237 · see citing works
Cumulative stress in childhood is associated with blunted reward-related brain activity in adulthood
Hanson, J. L., Albert, D., Iselin, A.-M. R., Carré, J. M., Dodge, K. A., & Hariri, A. R. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv124 · Cited by 185 · see citing works
Abnormal structure or function of the amygdala is a common component of neurodevelopmental disorders
Schumann, C. M., Bauman, M. D., & Amaral, D. G. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.09.028 · Cited by 178 · see citing works
A comprehensive study of whole-brain functional connectivity in children and young adults
Jolles, D. D., van Buchem, M. A., Crone, E. A., & Rombouts, S. A. R. B. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq104 · Cited by 181 · see citing works
Schlichting, M. L., Guarino, K. F., Schapiro, A. C., Turk-Browne, N. B., & Preston, A. R. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01028 · Cited by 173 · see citing works
Coleman, L. G., Liu, W., Oguz, I., Styner, M., & Crews, F. T. (2014) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2013.11.021 · Cited by 170 · see citing works
Walhovd, K. B., Johansen-Berg, H., & Káradóttir, R. T. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.06.058 · Cited by 156 · see citing works
Self-citationDennison, M., Whittle, S., Yücel, M., Vijayakumar, N., Kline, A., Simmons, J., & Allen, N. B. (2013) · Developmental Science · doi:10.1111/desc.12057 · Cited by 146 · see citing works
A longitudinal study: changes in cortical thickness and surface area during pubertal maturation
Herting, M. M., Gautam, P., Spielberg, J. M., Dahl, R. E., & Sowell, E. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119774 · Cited by 142 · see citing works
The physiology of developmental changes in BOLD functional imaging signals
Harris, J. J., Reynell, C., & Attwell, D. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.04.001 · Cited by 142 · see citing works
Wu, M., Kujawa, A., Lu, L. H., Fitzgerald, D. A., Klumpp, H., Fitzgerald, K. D., Monk, C. S., & Phan, K. L. (2016) · Human Brain Mapping · doi:10.1002/hbm.23129 · Cited by 130 · see citing works
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 · see citing works
Self-citationImmature integration and segregation of emotion-related brain circuitry in young children
Qin, S., Young, C. B., Supekar, K., Uddin, L. Q., & Menon, V. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120408109 · Cited by 130 · see citing works
Moore, W. E., Pfeifer, J. H., Masten, C. L., Mazziotta, J. C., Iacoboni, M., & Dapretto, M. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr066 · Cited by 115 · see citing works
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 · see citing works
Early human brain development: Starring the subplate
Hadders-Algra, M. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.017 · Cited by 100 · see citing works
Neurocognitive Development of Risk Aversion from Early Childhood to Adulthood
Paulsen, D. J., Carter, R. M., Platt, M. L., Huettel, S. A., & Brannon, E. M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00178 · Cited by 65 · see citing works
Hasan, K. M., Walimuni, I. S., Abid, H., Frye, R. E., Ewing-Cobbs, L., Wolinsky, J. S., & Narayana, P. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4184-11.2011 · Cited by 64 · see citing works
Johnson, C. M., Loucks, F. A., Peckler, H., Thomas, A. W., Janak, P. H., & Wilbrecht, L. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.01.005 · Cited by 59 · see citing works
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 · see citing works
Self-citationHardee, J. E., Cope, L. M., Munier, E. C., Welsh, R. C., Zucker, R. A., & Heitzeg, M. M. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx021 · Cited by 54 · see citing works
Heritability of brain ventricle volume: Converging evidence from inconsistent results
Kremen, W. S., Panizzon, M. S., Neale, M. C., Fennema-Notestine, C., Prom-Wormley, E., Eyler, L. T., Stevens, A., Franz, C. E., Lyons, M. J., Grant, M. D., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.02.007 · Cited by 50 · see citing works
Manning, K. E., Tait, R., Suckling, J., & Holland, A. J. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.12.027 · Cited by 45 · see citing works
Structural connectivity of the developing human amygdala
Saygin, Z. M., Osher, D. E., Koldewyn, K., Martin, R. E., Finn, A., Saxe, R., Gabrieli, J. D. E., & Sheridan, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125170 · Cited by 45 · see citing works
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 · see citing works
Rice, K., Viscomi, B., Riggins, T., & Redcay, E. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.09.003 · Cited by 32 · see citing works
Sex-Based Differences in Cortical and Subcortical Development in 436 Individuals Aged 4–54 Years
Duerden, E. G., Chakravarty, M. M., Lerch, J. P., & Taylor, M. J. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz279 · Cited by 28 · see citing works
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 · see citing works
Jamieson, D., Shan, Z., Lagopoulos, J., & Hermens, D. F. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101450 · Cited by 28 · see citing works
Walhovd, K. B., Tamnes, C. K., Østby, Y., Due-Tønnessen, P., & Fjell, A. M. (2012) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-012-0241-5 · Cited by 26 · see citing works
Self-citationPhysiological correlates of emotional reactivity and regulation in early adolescents
Latham, M. D., Cook, N., Simmons, J. G., Byrne, M. L., Kettle, J. W. L., Schwartz, O., Vijayakumar, N., Whittle, S., & Allen, N. B. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.07.018 · Cited by 16 · see citing works
- Authors
- Østby, Y., Tamnes, C. K., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B.
- Affiliations
- University of Oslo (NO)
- Oslo University Hospital (NO)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-09-23
- Volume
- 29
- Issue
- 38
- Pages
- 11772-11782
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6666647
- OpenAlex
- W2040759402
- Cited by
- 480
- References
- 54
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 18 · 2023: 23 · 2022: 29 · 2021: 27 · 2020: 30 · 2019: 32 · 2018: 34 · 2017: 33 · 2016: 32 · 2015: 36 · 2014: 33 · 2013: 35 · 2012: 45
- FWCI
- 14.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Universitetet i Oslo
- Norges Forskningsråd (177404, 186092/V50, 177404/W50, 186092)
- 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, gray matter volume, white matter volume, ventricular volume, developmental trajectories, cortical thickness, basal ganglia, caudate nucleus, putamen, globus pallidus, amygdala, hippocampus, cerebellum, whole-brain segmentation, structural MRI
- MeSH terms
- Adolescent, Adult, Aging, Analysis of Variance, Brain, Child, Female, Humans, Magnetic Resonance Imaging, Male, Organ Size, Regression Analysis, Young Adult
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
