Typical development of basal ganglia, hippocampus, amygdala and cerebellum from age 7 to 24
Abstract
Developmental imaging studies show that cortical grey matter decreases in volume during childhood and adolescence. However, considerably less research has addressed the development of subcortical regions (caudate, putamen, pallidum, accumbens, thalamus, amygdala, hippocampus and the cerebellar cortex), in particular not in longitudinal designs. We used the automatic labeling procedure in FreeSurfer to estimate the developmental trajectories of the volume of these subcortical structures in 147 participants (age 7.0-24.3years old, 94 males; 53 females) of whom 53 participants were scanned twice or more. A total of 223 magnetic resonance imaging (MRI) scans (acquired at 1.5-T) were analyzed. Substantial diversity in the developmental trajectories was observed between the different subcortical gray matter structures: the volume of caudate, putamen and nucleus accumbens decreased with age, whereas the volume of hippocampus, amygdala, pallidum and cerebellum showed an inverted U-shaped developmental trajectory. The thalamus showed an initial small increase in volume followed by a slight decrease. All structures had a larger volume in males than females over the whole age range, except for the cerebellum that had a sexually dimorphic developmental trajectory. Thus, subcortical structures appear to not yet be fully developed in childhood, similar to the cerebral cortex, and continue to show maturational changes into adolescence. In addition, there is substantial heterogeneity between the developmental trajectories of these structures.
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Specific regions, including the frontal cortex, hippocampus, and amygdala, continue to develop into late adolescence.
“Moreover, specific regions, such as the frontal cortex (FC), hippocampus (HC), and amygdala continue to develop into late adolescence (Suzuki et al. 2005; Wierenga et al. 2014).”
From The long-term cognitive consequences of adolescent exposure to recreational drugs of abuse (2018) · cites this paper as Wierenga et al. 2014
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 Wierenga et al., 2014
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 [21]
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 [21]
Cites
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139 · 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
The mini international neuropsychiatric interview
Lecrubier, Y., Sheehan, D. V., Hergueta, T., & Weiller, E. (1998) · European Psychiatry · doi:10.1016/s0924-9338(99)80239-9 · Cited by 5,882 · see citing works
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 · see citing works
Why do many psychiatric disorders emerge during adolescence?
Paus, T., Keshavan, M., & Giedd, J. N. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2513 · Cited by 3,123 · see citing works
Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356 · 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
Diamond, A. D. (2000) · Child Development · doi:10.1111/1467-8624.00117 · Cited by 1,509 · 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
Normal development of brain circuits
Tau, G. Z., & Peterson, B. S. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.115 · Cited by 1,391 · see citing works
Highly accurate inverse consistent registration: A robust approach
Reuter, M., Rosas, H. D., & Fischl, B. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.020 · Cited by 1,378 · see citing works
Control of mental activities by internal models in the cerebellum
Ito, M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2332 · Cited by 1,356 · 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
Jovicich, J., Czanner, S., Greve, D. N., Haley, E., van der Kouwe, A. J. W., Gollub, R. L., Kennedy, D. N., Schmitt, F., Brown, G. G., MacFall, J. R., et al. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.046 · Cited by 1,269 · see citing works
Dopamine in drug abuse and addiction: results from imaging studies and treatment implications
Volkow, N. D., Fowler, J. S., Wang, G.-J., & Swanson, J. M. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001507 · Cited by 1,101 · 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
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
Schumann, C. M., Hamstra, J., Goodlin-Jones, B. L., Lotspeich, L. J., Kwon, H., Buonocore, M. H., Lammers, C. R., Reiss, A. L., & Amaral, D. G. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1297-04.2004 · Cited by 840 · see citing works
Structural MRI of pediatric brain development: what have we learned and where are we going?
Giedd, J. N., & Rapoport, J. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.040 · Cited by 836 · see citing works
Frontal-subcortical circuits and neuropsychiatric disorders
Mega, M. S., & Cummings, J. L. (1994) · Journal of Neuropsychiatry · doi:10.1176/jnp.6.4.358 · Cited by 726 · see citing works
Raznahan, 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
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
Dopamine in Drug Abuse and Addiction: Results of Imaging Studies and Treatment Implications
Volkow, N. D., Fowler, J. S., Wang, G.-J., Swanson, J. M., & Telang, F. (2007) · Archives of Neurology · doi:10.1001/archneur.64.11.1575 · Cited by 605 · see citing works
The influence of puberty on subcortical brain development
Goddings, A., Mills, K. L., CLASEN, L. S., Giedd, J. N., Viner, R., & Blakemore, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.073 · Cited by 556 · see citing works
Unique developmental trajectories of cortical thickness and surface area
Wierenga, L. M., Langen, M., Oranje, B., & Durston, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.010 · Cited by 546 · see citing works
Self-citationConsistent neuroanatomical age-related volume differences across multiple samples
Walhovd, K. B., Westlye, L. T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.05.013 · Cited by 506 · 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
Østby, Y., Tamnes, C. K., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1242-09.2009 · Cited by 480 · see citing works
Avoiding asymmetry-induced bias in longitudinal image processing
Reuter, M., & Fischl, B. R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.076 · Cited by 480 · see citing works
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 · 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
Sex Differences and the Impact of Steroid Hormones on the Developing Human Brain
Neufang, S., Specht, K., Hausmann, M., Güntürkün, O., Herpertz‐Dahlmann, B., Fink, G. R., & Konrad, K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn100 · Cited by 421 · see citing works
Brain development during the preschool years
Brown, T., & Jernigan, T. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9214-1 · Cited by 412 · see citing works
Anatomical MRI of the developing human brain: what have we learned?
DURSTON, S., HULSHOFF POL, H. E., CASEY, B. J., GIEDD, J. N., BUITELAAR, J. K., & VAN ENGELAND, H. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200109000-00009 · Cited by 410 · cited 1× · see citing works
“Interestingly, many of these disorders first manifest themselves during childhood or adolescence (Durston et al., 2001; Paus NeuroImage 96 (2014) 67–72 ⁎ Corresponding author.”
BackgroundSelf-citationThe neurobiology of addiction: a neuroadaptational view relevant for diagnosis
Koob, G. F. (2006) · Addiction · doi:10.1111/j.1360-0443.2006.01586.x · Cited by 397 · see citing works
A systematic review and meta-analysis of the fMRI investigation of autism spectrum disorders
Philip, R. C. M., Dauvermann, M. R., Whalley, H. C., Baynham, K., Lawrie, S. M., & Stanfield, A. C. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.10.008 · Cited by 390 · see citing works
Longitudinal 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 · see citing works
Building hippocampal circuits to learn and remember: Insights into the development of human memory
Lavenex, P., & Lavenex, P. B. (2013) · Behavioural Brain Research · doi:10.1016/j.bbr.2013.02.007 · Cited by 309 · 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
Changes in the Development of Striatum Are Involved in Repetitive Behavior in Autism
Langen, M., Bos, D., Noordermeer, S. D. S., Nederveen, H., van Engeland, H., & Durston, S. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.08.013 · Cited by 256 · see citing works
Self-citationAbuse of Amphetamines and Structural Abnormalities in the Brain
Berman, S. M., O’Neill, J., Fears, S. C., Bartzokis, G., & London, E. D. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1441.031 · Cited by 253 · 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
Longitudinal Study of Amygdala Volume and Joint Attention in 2- to 4-Year-Old Children With Autism
Mosconi, M. W., Cody-Hazlett, H., Poe, M. D., Gerig, G., Gimpel-Smith, R., & Piven, J. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.19 · Cited by 236 · see citing works
Sex differences and structural brain maturation from childhood to early adulthood
Koolschijn, P. C. M. P., & Crone, E. A. (2013) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.02.003 · Cited by 234 · see citing works
Sex steroids and brain structure in pubertal boys and girls: a mini-review of neuroimaging studies
Peper, J. S., Pol, H. E. H., Crone, E. A., & van Honk, J. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.02.014 · Cited by 204 · 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
The amygdala: An agent of change in adolescent neural networks
Scherf, K. S., Smyth, J. M., & Delgado, M. R. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2013.05.011 · Cited by 159 · see citing works
Dennison, 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
Dewey, J. J., Hana, G., Russell, T., Price, J., McCaffrey, D., Harezlak, J., Sem, E., Anyanwu, J. C., Guttmann, C. R. G., NAVIA, B. A., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.033 · Cited by 126 · see citing works
Carmona, S., Proal, E., Hoekzema, E. A., Gispert, J.-D., Picado, M., Moreno, I., Soliva, J. C., Bielsa, A., Rovira, M., Hilferty, J., et al. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.05.013 · Cited by 109 · see citing works
Regional patterns and clinical correlates of basal ganglia morphology in non-medicated schizophrenia
Ballmaier, M., Schlagenhauf, F., Toga, A. W., Gallinat, J., Koslowski, M., Zoli, M., Hojatkashani, C., Narr, K. L., & Heinz, A. (2008) · Schizophrenia Research · doi:10.1016/j.schres.2008.08.025 · Cited by 80 · see citing works
Basal Ganglia Shape Abnormalities in the Unaffected Siblings of Schizophrenia Patients
Mamah, D. T., Harms, M. P., Wang, L., Barch, D. M., Thompson, P. A., Kim, J., Miller, M. I., & Csernansky, J. G. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.01.004 · Cited by 76 · see citing works
Neural correlates of the development of cognitive control
Bunge, S. A., & Crone, E. A. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511757402.005 · Cited by 73 · see citing works
Postnatal development of the amygdala: A stereological study in macaque monkeys
Chareyron, L. J., Lavenex, P. B., Amaral, D. G., & Lavenex, P. (2011) · The Journal of Comparative Neurology · doi:10.1002/cne.23023 · Cited by 72 · see citing works
Durston, S., Nederveen, H., van Dijk, S., van Belle, J., de Zeeuw, P., Langen, M., & van Dijk, A. (2009) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e3181930673 · Cited by 51 · see citing works
Self-citationHippocampal Volume Development in Healthy Siblings of Childhood-Onset Schizophrenia Patients
Mattai, A. A., Hosanagar, A., Weisinger, B., GREENSTEIN, D. K., Stidd, R., CLASEN, L. S., Lalonde, F. M., Rapoport, J. L., & Gogtay, N. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10050681 · Cited by 46 · see citing works
Nederlandstalige bewerking van de 'Wechsler Adult Intelligence Scale'
Coetsier, P., Stinissen, J., Willems, P. S., & Hulsman, W. (1970) · Ghent University Academic Bibliography (Ghent University) · Cited by 6 · see citing works
Giedd (1996) · doi:10.1002/(sici)1096-9861(19960304)366:2
Flagged first, then by citations
2 of the 62 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Bridgett, D. J., Burt, N. M., Edwards, E. S., & Deater-Deckard, K. D. (2015) · Psychological Bulletin · doi:10.1037/a0038662 · Cited by 637 · see citing works
State of the Art Review: Poverty and the Developing Brain
Johnson, S. B., Riis, J. L., & Noble, K. G. (2016) · Pediatrics · doi:10.1542/peds.2015-3075 · Cited by 624 · see citing works
Mills, K. L., Goddings, A.-L., Herting, M. M., Meuwese, R., Blakemore, S.-J., Crone, E. A., Dahl, R. E., Güroğlu, B., Raznahan, A., Sowell, E. R., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.044 · Cited by 600 · see citing works
van Rooij, D., Anagnostou, E. A., Arango, C., Auzias, G., Behrmann, M., Busatto, G. F., Calderoni, S., Daly, E., Deruelle, C., Martino, A. D., et al. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17010100 · Cited by 483 · see citing works
Self-citationStudying individual differences in human adolescent brain development
Foulkes, L., & Blakemore, S.-J. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0078-4 · Cited by 413 · see citing works
Navigating the Social Environment in Adolescence: The Role of Social Brain Development
Andrews, J. L., Ahmed, S. P., & Blakemore, S.-J. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.09.012 · Cited by 337 · see citing works
Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis
Pierrick Coupé, A., Catheline, G., Lanuza, E., Manjón, J. V., & Initiative, A. D. N. (2017) · Human Brain Mapping · doi:10.1002/hbm.23743 · Cited by 265 · see citing works
Unraveling age, puberty and testosterone effects on subcortical brain development across adolescence
Wierenga, L. M., Bos, M. G. N., Schreuders, E., van de Kamp, F., Peper, J. S., Tamnes, C. K., & Crone, E. A. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.02.034 · Cited by 231 · see citing works
Self-citationUnderstanding the role of puberty in structural and functional development of the adolescent brain
Goddings, A., Beltz, A., Peper, J. S., Crone, E. A., & Braams, B. R. (2019) · Journal of Research on Adolescence · doi:10.1111/jora.12408 · Cited by 219 · see citing works
Paquola, C., Bennett, M. R., & Lagopoulos, J. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.011 · Cited by 217 · see citing works
Herting, M. M., Johnson, C., Mills, K. L., Vijayakumar, N., Dennison, M., Liu, C., Goddings, A.-L., Dahl, R. E., Sowell, E. R., Whittle, S., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.020 · Cited by 185 · see citing works
Effects of early life stress on amygdala and striatal development
Fareri, D. S., & Tottenham, N. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.04.005 · Cited by 166 · see citing works
Evolution of deep gray matter volume across the human lifespan
Narvacan, K., Treit, S., Camicioli, R. M., Martin, W. R. W., & Beaulieu, C. (2017) · Human Brain Mapping · doi:10.1002/hbm.23604 · Cited by 153 · see citing works
The long-term cognitive consequences of adolescent exposure to recreational drugs of abuse
Mooney-Leber, S. M., & Gould, T. J. (2018) · Learning & Memory · doi:10.1101/lm.046672.117 · Cited by 140 · see citing works
“Moreover, specific regions, such as the frontal cortex (FC), hippocampus (HC), and amygdala continue to develop into late adolescence (Suzuki et al. 2005; Wierenga et al. 2014).”
BackgroundImaging sex/gender and autism in the brain: Etiological implications
Lai, M., Lerch, J. P., Floris, D. L., Ruigrok, A. N. V., Pohl, A. L., Lombardo, M. V., & Baron‐Cohen, S. (2016) · Journal of Neuroscience Research · doi:10.1002/jnr.23948 · Cited by 134 · see citing works
Inter-individual variability in structural brain development from late childhood to young adulthood
Mills, K. L., Siegmund, K. D., Tamnes, C. K., Ferschmann, L., Wierenga, L. M., Bos, M. G. N., Luna, B., Li, C., & Herting, M. M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118450 · Cited by 140 · see citing works
Self-citationWu, 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
Meta-analysis reveals a lack of sexual dimorphism in human amygdala volume
Marwha, D., Halari, M., & Eliot, L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.021 · Cited by 124 · see citing works
Rakesh, D., Whittle, S., Sheridan, M. A., & McLaughlin, K. A. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.03.011 · Cited by 126 · see citing works
Longitudinal development of hippocampal subregions from childhood to adulthood
Tamnes, C. K., Bos, M. G. N., van de Kamp, F. C., Peters, S., & Crone, E. A. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.03.009 · Cited by 113 · 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
Rifkin-Graboi, A. E., Kong, L., Sim, L. W., Sanmugam, S., Broekman, B. F. P., Chen, H., Wong, E. Q., Kwek, K. Y. C., Saw, S., Chong, Y. S., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.133 · Cited by 106 · see citing works
Air pollution exposure during pregnancy and childhood and brain morphology in preadolescents
Lubczynska, M. J., Muetzel, R. L., Marroun, H. E., Hoek, G., Kooter, I. M., Thomson, E. M., Hillegers, M. H. J., Vernooij, M. W., White, T. J. H., Tiemeier, H. W., et al. (2020) · Environmental Research · doi:10.1016/j.envres.2020.110446 · Cited by 100 · see citing works
Watt, M. J., Weber, M. A., Davies, S. R., & Forster, G. L. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.06.015 · Cited by 94 · see citing works
The developmental relationship between specific cognitive domains and grey matter in the cerebellum
Moore, D. M., D’Mello, A. M., McGrath, L. M., & Stoodley, C. J. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.12.001 · Cited by 90 · see citing works
Association of Brain Cortical Changes With Relapse in Patients With Major Depressive Disorder
Zaremba, D., Dohm, K., Redlich, R., Grotegerd, D., Strojny, R., Meinert, S. L., Bürger, C., Enneking, V., Förster, K., Repple, J., et al. (2018) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.0123 · Cited by 90 · see citing works
Effects of Age and Sex on Subcortical Volumes
Wang, Y., Xu, Q., Luo, J., Hu, M., & Zuo, C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00259 · Cited by 91 · see citing works
An Allometric Analysis of Sex and Sex Chromosome Dosage Effects on Subcortical Anatomy in Humans
Reardon, P. K., CLASEN, L. S., Giedd, J. N., Blumenthal, J. D., Lerch, J. P., Chakravarty, M. M., & Raznahan, A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3195-15.2016 · Cited by 88 · see citing works
Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis
Nemmi, F., Sabatini, U., Rascol, O., & Péran, P. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.07.010 · Cited by 88 · see citing works
Normative development of ventral striatal resting state connectivity in humans
Fareri, D. S., Gabard-Durnam, L. J., Goff, B., Flannery, J., Gee, D. G., Lumian, D. S., Caldera, C., & Tottenham, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.022 · Cited by 85 · see citing works
Development of cortical thickness and surface area in autism spectrum disorder
Mensen, V. T., Wierenga, L. M., van Dijk, S., Rijks, Y., Oranje, B., Mandl, R. C. W., & Durston, S. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.12.003 · Cited by 83 · see citing works
Self-citationLongitudinal structural brain development and externalizing behavior in adolescence
Bos, M. G. N., Wierenga, L. M., Blankenstein, N. E., Schreuders, E., Tamnes, C. K., & Crone, E. A. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12972 · Cited by 81 · see citing works
Self-citationAlex, A. M., Aguate, F. M., Botteron, K. N., Buß, C., Chong, Y. S., Dager, S. R., Donald, K. A., Entringer, S., Fair, D. A., Fortier, M. V., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01501-6 · Cited by 83 · see citing works
Grey Matter Changes Associated with Heavy Cannabis Use: A Longitudinal sMRI Study
Koenders, L., Cousijn, J., Vingerhoets, W. A. M., van den Brink, W., Wiers, R. W. H. J., Meijer, C. J., Machielsen, M. W. J., Veltman, D. J., Goudriaan, A. E., & de Haan, L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152482 · Cited by 78 · see citing works
Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age
Williams, C. M., Peyre, H., Toro, R., & Ramus, F. (2021) · Human Brain Mapping · doi:10.1002/hbm.25572 · Cited by 78 · see citing works
Disentangling in vivo the effects of iron content and atrophy on the ageing human brain
Lorio, S., Lutti, A., Kherif, F., Ruef, A., Dukart, J., Chowdhury, R., Frackowiak, R. S. J., Ashburner, J., Helms, G., Weiskopf, N., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.044 · Cited by 74 · see citing works
Mankiw, C., Park, M. T. M., Reardon, P. K., Fish, A. M., CLASEN, L. S., GREENSTEIN, D. K., Giedd, J. N., Blumenthal, J. D., Lerch, J. P., Chakravarty, M. M., et al. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2158-16.2017 · Cited by 74 · see citing works
Brouwer, R. M., Panizzon, M. S., Glahn, D. C., Hibar, D. P., Hua, X., Jahanshad, N., Abramovic, L., de Zubicaray, G. I., Franz, C. E., Hansell, N. K., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23672 · Cited by 69 · see citing works
Mechanical properties of the in vivo adolescent human brain
McIlvain, G., Schwarb, H. D., Cohen, N. J., Telzer, E. H., & Johnson, C. L. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.06.001 · Cited by 72 · see citing works
Development of hippocampal functional connectivity during childhood
Blankenship, S. L., Redcay, E., Dougherty, L. R., & Riggins, T. (2016) · Human Brain Mapping · doi:10.1002/hbm.23353 · Cited by 71 · see citing works
Xie, S., Zhang, X., Cheng, W., & Yang, Z. (2021) · General Psychiatry · doi:10.1136/gpsych-2020-100411 · Cited by 78 · see citing works
Ambrosino, S., de Zeeuw, P., Wierenga, L. M., van Dijk, S., & Durston, S. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx182 · Cited by 67 · see citing works
Self-citationThe effect of bilingualism on brain development from early childhood to young adulthood
Pliatsikas, C., Meteyard, L., Veríssimo, J., DeLuca, V., Shattuck, K. F., & Ullman, M. T. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02115-5 · Cited by 65 · see citing works
Inkelis, S. M., Moore, E. M., Bischoff‐Grethe, A., & Riley, E. P. (2020) · Brain Research · doi:10.1016/j.brainres.2020.146654 · Cited by 64 · see citing works
Hippocampal circuit dysfunction in psychosis
Knight, S., McCutcheon, R. A., Dwir, D., Grace, A. A., O’Daly, O., McGuire, P. K., & Modinos, G. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02115-5 · Cited by 58 · see citing works
Jaworska, N., Yücel, K., Courtright, A., MacMaster, F. P., Sembo, M., & MacQUEEN, G. M. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.10.064 · Cited by 63 · see citing works
Association of a Schizophrenia-Risk Nonsynonymous Variant With Putamen Volume in Adolescents
Luo, Q., Chen, Q., Wang, W., Desrivières, S., Quinlan, E. B., Jia, T., Macare, C., Robert, G. H., Cui, J., Guedj, M., et al. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2018.4126 · Cited by 62 · see citing works
Luikinga, S. J., Kim, J. H., & Perry, C. J. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.11.010 · Cited by 59 · see citing works
Childhood trauma and brain structure in children and adolescents
Peverill, M., Rosen, M. L., Lurie, L. A., Sambrook, K., Sheridan, M. A., & McLaughlin, K. A. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101180 · Cited by 63 · see citing works
Olivo, G., Gaudio, S., & Schiöth, H. B. (2019) · Nutrients · doi:10.3390/nu11081907 · Cited by 56 · see citing works
Hardee, 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
Abnormal development pattern of the amygdala and hippocampus from childhood to adulthood with autism
Xu, Q., Zuo, C., Liao, S., Long, Y., & Wang, Y. (2020) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2020.03.049 · Cited by 54 · see citing works
Kim‐Spoon, J., Lauharatanahirun, N., Peviani, K. M., Brieant, A. E., Deater-Deckard, K. D., Bickel, W. K., & King‐Casas, B. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13015 · Cited by 52 · see citing works
Cerebellar anatomical alterations and attention to eyes in autism
Laidi, C., Boisgontier, J., Chakravarty, M. M., Hotier, S., d’Albis, M.-A., Mangin, J., Devenyi, G. A., Delorme, R., Bolognani, F., Czech, C., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-11883-w · Cited by 51 · see citing works
Sex-biased trajectories of amygdalo-hippocampal morphology change over human development
Fish, A. M., Nadig, A., Seidlitz, J., Reardon, P. K., Mankiw, C., McDermott, C. L., Blumenthal, J. D., CLASEN, L. S., Lalonde, F. M., Lerch, J. P., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116122 · Cited by 53 · see citing works
Machlin, L., McLaughlin, K. A., & Sheridan, M. A. (2019) · Developmental Science · doi:10.1111/desc.12844 · Cited by 51 · see citing works
Subcortical structural variations associated with low socioeconomic status in adolescents
Jenkins, L. M., Chiang, J. J., Vause, K. J., Hoffer, L. C., Alpert, K. I., Parrish, T. B., Wang, L., & Miller, G. E. (2019) · Human Brain Mapping · doi:10.1002/hbm.24796 · Cited by 47 · see citing works
Food restriction affects Y‐maze spatial recognition memory in developing mice
Fu, Y., Chen, Y., Li, L., Wang, Y., Kong, X., & Wang, J. (2017) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2017.03.010 · Cited by 47 · see citing works
Developmental variation in regional brain iron and its relation to cognitive functions in childhood
Hect, J. L., Daugherty, A. M., Hermez, K., & Thomason, M. E. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.05.004 · Cited by 46 · see citing works
Srinivasan, D., Erus, G., Doshi, J., Wolk, D. A., Shou, H., Habes, M., & Davatzikos, C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117248 · Cited by 45 · see citing works
Disturbed Cerebellar Growth Trajectories in Adolescents Who Initiate Alcohol Drinking
Sullivan, E. V., Brumback, T., Tapert, S. F., Brown, S. A., Baker, F. C., Colrain, I. M., Prouty, D., Bellis, M. D. D., Clark, D. B., Nagel, B. J., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.08.026 · Cited by 45 · see citing works
Early parenting predicts hippocampal subregion volume via stress reactivity in childhood
Blankenship, S. L., Chad‐Friedman, E., Riggins, T., & Dougherty, L. R. (2018) · Developmental Psychobiology · doi:10.1002/dev.21788 · Cited by 44 · see citing works
Attention-deficit/hyperactivity disorder is characterized by a delay in subcortical maturation
Wang, Y., Zuo, C., Xu, Q., Lei, H. C., & Zhang, Y. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110044 · Cited by 42 · see citing works
Markett, S. A., Bleek, B., Reuter, M., Prüss, H., Richardt, K., Müller, T., Yaruss, J. S., & Montag, C. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.09.008 · Cited by 41 · see citing works
Westacott, L. J., & Wilkinson, L. S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.840266 · Cited by 44 · see citing works
Romero, J. E., Pierrick Coupé, A., Lanuza, E., Catheline, G., Manjón, J. V., & Initiative, A. D. N. (2021) · Human Brain Mapping · doi:10.1002/hbm.25293 · Cited by 42 · see citing works
Building an adaptive brain across development: targets for neurorehabilitation must begin in infancy
Edgin, J. O., Clark, C. A. C., Massand, E., & Karmiloff‐Smith, A. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00232 · Cited by 40 · see citing works
Development and heritability of subcortical brain volumes at ages 9 and 12
Swagerman, S., Brouwer, R., de Geus, E., Pol, H. H., & Boomsma, D. (2014) · Genes, Brain and Behavior · doi:10.1111/gbb.12182 · Cited by 49 · see citing works
Long-term impact of digital media on brain development in children
Nivins, S., Sauce, B., Liebherr, M., Judd, N., & Klingberg, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-63566-y · Cited by 47 · see citing works
Relationships between adrenarcheal hormones, hippocampal volumes and depressive symptoms in children
Ellis, R., Fernandes, A., Simmons, J. G., Mundy, L. K., Patton, G. C., Allen, N. B., & Whittle, S. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.02.016 · Cited by 36 · see citing works
Hartzell, J. F., Davis, B., Melcher, D., Miceli, G., Jovicich, J., Nath, T., Singh, N. C., & Hasson, U. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.027 · Cited by 37 · see citing works
Lee, J. K., Nordahl, C. W., Amaral, D. G., Lee, A., Solomon, M., & Ghetti, S. (2015) · Human Brain Mapping · doi:10.1002/hbm.22931 · Cited by 35 · see citing works
Séguin, D., Pac, S., Wang, J., Nicolson, R., Martínez-Trujillo, J., & Duerden, E. G. (2021) · Brain and Behavior · doi:10.1002/brb3.2299 · Cited by 37 · see citing works
Reiss, A. L., Jo, B., Arbeláez, A. M., Tsalikian, E., Buckingham, B. A., WEINZIMER, S. A., Fox, L. A., Cato, A., White, N. H., Tansey, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32289-x · Cited by 35 · see citing works
Meier, T. B., Savitz, J. B., Singh, R. P., Teague, T. K., & Bellgowan, P. S. F. (2015) · Journal of Neurotrauma · doi:10.1089/neu.2015.4118 · Cited by 34 · see citing works
Sex differences and brain development during puberty and adolescence
Peper, J. S., Burke, S., & Wierenga, L. M. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64123-6.00003-5 · Cited by 36 · see citing works
Self-citationLynch, K. M., Alves, J. M., Chow, T., Clark, K. A., LUO, S. H., Toga, A. W., Xiang, A. H., & Page, K. A. (2021) · Human Brain Mapping · doi:10.1002/hbm.25390 · Cited by 32 · see citing works
Intolerance of uncertainty predicts increased striatal volume.
Kim, M. J., Shin, J., Taylor, J. M., Mattek, A. M., Chavez, S., & Whalen, P. J. (2017) · Emotion · doi:10.1037/emo0000331 · Cited by 36 · see citing works
Longitudinal increases of brain metabolite levels in 5-10 year old children
Holmes, M., Robertson, F. C., Little, F., Randall, S. R., Cotton, M. F., van der Kouwe, A. J. W., Laughton, B., & Meintjes, E. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180973 · Cited by 33 · see citing works
Longitudinal growth of the basal ganglia and thalamus in very preterm children
Loh, W. Y., Anderson, P. J., Cheong, J. L. Y., Spittle, A. J., Chen, J., Lee, K. J., Molesworth, C., Inder, T. E., Connelly, A., Doyle, L. W., et al. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-019-00057-z · Cited by 34 · see citing works
Gifuni, A. J., Chakravarty, M. M., Lepage, M., Ho, T. C., Geoffroy, M.-C., Lacourse, E., Gotlib, I. H., Turecki, G., Renaud, J., & Jollant, F. (2021) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.200198 · Cited by 33 · see citing works
Miskolczi, C., Halász, J., & Mikics, É. (2018) · Pediatric Research · doi:10.1038/s41390-018-0205-7 · Cited by 36 · see citing works
Lugar, H. M., Koller, J. M., Rutlin, J. R., Eisenstein, S. A., Neyman, O., Narayanan, A., Chen, L., Shimony, J. S., & Hershey, T. G. (2019) · Scientific Reports · doi:10.1038/s41598-019-42447-9 · Cited by 33 · see citing works
Cerebellar Gray Matter Volume, Executive Function, and Insomnia: Gender Differences in Adolescents
Jung, K.-I., Park, M.-H., Park, B., Kim, S.-Y., Kim, Y. O., Kim, B.-N., Park, S., & Song, C.-H. (2019) · Scientific Reports · doi:10.1038/s41598-018-37154-w · Cited by 32 · see citing works
White and gray matter brain development in children and young adults with phenylketonuria
Hawks, Z., Hood, A., Lerman-Sinkoff, D. B., Shimony, J. S., Rutlin, J. R., Lagoni, D., Grange, D. K., & White, D. A. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101916 · Cited by 32 · see citing works
Essers, E., Binter, A.-C., Neumann, A., White, T. J. H., Alemany, S., & Guxens, M. (2022) · Environmental Research · doi:10.1016/j.envres.2022.114595 · Cited by 32 · see citing works
Jasińska, K. K., Molfese, P. J., Kornilov, S. A., Mencl, W. E., Frost, S. J., Lee, M., Pugh, K. R., Grigorenko, E. L., & Landi, N. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.03.014 · Cited by 30 · see citing works
Convergent neurobiological predictors of emergent psychopathology during adolescence
Jones, S. A., Morales, A. M., Lavine, J. B., & Nagel, B. J. (2017) · Birth Defects Research · doi:10.1002/bdr2.1176 · Cited by 31 · 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
Yan, P., Xu, D., Ji, Y., Yin, F., Cui, J., Su, R., Wang, Y., Zhu, Y., Wei, S., & Lai, J. (2019) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyz001 · Cited by 30 · see citing works
Morphometric development of the human fetal cerebellum during the early second trimester
Xu, F., Ge, X., Shi, Y., Zhang, Z., Tang, Y., Lin, X., Teng, G., Zang, F., Gao, N., Liu, H., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116372 · Cited by 30 · see citing works
Amygdala subnucleus volumes in psychosis high-risk state and first-episode psychosis
Armio, R.-L., Laurikainen, H., Ilonen, T., Walta, M., Salokangas, R. K. R., Koutsouleris, N., Hietala, J. A., & Tuominen, L. J. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.10.014 · Cited by 29 · see citing works
Ishihara, T., Yamazaki, K., Araki, A., Teraoka, Y., Tamura, N., Hikage, T., Omiya, M., Mizuta, M., & Kishi, R. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17249179 · Cited by 29 · see citing works
Sullivan, E. V., Moore, E. M., Lane, B., Pohl, K. M., Riley, E. P., & Pfefferbaum, A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa020 · Cited by 29 · see citing works
BDNF-Dependent Effects on Amygdala–Cortical Circuitry and Depression Risk in Children and Youth
Wheeler, A. L., Felsky, D., Viviano, J. D., Stojanovski, S., Ameis, S. H., Szatmári, P., Lerch, J. P., Chakravarty, M. M., & Voineskos, A. N. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx086 · Cited by 28 · see citing works
Kappel, V., Lorenz, R. C., Streifling, M., Renneberg, B., Lehmkuhl, U., Ströhle, A., Salbach‐Andrae, H., & Beck, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu135 · Cited by 28 · see citing works
Schuler, K. D., Yang, C. D., & Newport, E. L. (2021) · doi:10.31234/osf.io/utgds · Cited by 28 · see citing works
Evolutionary perspective on sex differences in the expression of neurological diseases
Geary, D. C. (2018) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2018.06.001 · Cited by 27 · see citing works
Cortical and subcortical T1 white/gray contrast, chronological age, and cognitive performance
Lewis, J. D., Fonov, V., Collins, D. L., Evans, A. C., Tohka, J., & for the Brain Development Cooperative Group, A. T. P. I. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.022 · Cited by 26 · see citing works
- Authors
- Wierenga, L., Langen, M., Ambrosino, S., van Dijk, S., Oranje, B., & Durston, S.
- Affiliations
- University Medical Center Utrecht (NL)
- Corresponding author
- Wierenga, Lara
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 96
- Pages
- 67-72
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2123437610
- Cited by
- 294
- References
- 62
- Citations by year
- 2026: 16 · 2025: 19 · 2024: 23 · 2023: 32 · 2022: 30 · 2021: 26 · 2020: 29 · 2019: 32 · 2018: 24 · 2017: 25 · 2016: 19 · 2015: 11 · 2014: 6 · 2013: 1
- FWCI
- 11.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Netherlands Organisation for Scientific Research (NWO) (VIDI 91776384, VICI 453-10-005)
- 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
- basal ganglia, hippocampus, amygdala, cerebellum, caudate nucleus, putamen, nucleus accumbens, thalamus, globus pallidus, sex differences, childhood and adolescence, longitudinal MRI
- MeSH terms
- Adolescent, Aging, Amygdala, Basal Ganglia, Cerebellum, Child, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Organ Size, Reference Values, Sensitivity and Specificity, Sex Factors, Reproducibility of Results, Imaging, Three-Dimensional, Young Adult
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