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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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“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
In the citing paper
“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
In the citing paper
“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]
In the citing paper
“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]
Citations
Cites
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
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
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
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 5,899
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
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
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
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
Diamond, A. D. (2000) · Child Development · doi:10.1111/1467-8624.00117 · Cited by 1,584
Research works printed but not linked: 2
- Fox, 2002, Linear mixed models—appendix to an r and s-plus companion to applied regression, Relation, 10, 5261
- Wechsler, 2000, Wechsler Adult Intelligence Scale-Third Edition (WAIS- III): Nederlandstalige Bewerking
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Xie, S., Zhang, X., Cheng, W., & Yang, Z. (2021) · General Psychiatry · doi:10.1136/gpsych-2020-100411 · Cited by 78
Ambrosino, S., de Zeeuw, P., Wierenga, L. M., van Dijk, S., & Durston, S. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx182 · Cited by 67
Self-citationThe effect of bilingualism on brain development from early childhood to young adulthood
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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
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Olivo, G., Gaudio, S., & Schiöth, H. B. (2019) · Nutrients · doi:10.3390/nu11081907 · Cited by 56
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
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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
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
Cerebellar anatomical alterations and attention to eyes in autism
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Machlin, L., McLaughlin, K. A., & Sheridan, M. A. (2019) · Developmental Science · doi:10.1111/desc.12844 · Cited by 51
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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
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Attention-deficit/hyperactivity disorder is characterized by a delay in subcortical maturation
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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
Westacott, L. J., & Wilkinson, L. S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.840266 · Cited by 48
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
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Development and heritability of subcortical brain volumes at ages 9 and 12
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Long-term impact of digital media on brain development in children
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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 37
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 38
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
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
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
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
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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
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
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 37
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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
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
Miskolczi, C., Halász, J., & Mikics, É. (2018) · Pediatric Research · doi:10.1038/s41390-018-0205-7 · Cited by 38
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
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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
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
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
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Jones, S. A., Morales, A. M., Lavine, J. B., & Nagel, B. J. (2017) · Birth Defects Research · doi:10.1002/bdr2.1176 · Cited by 31
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Morriss, J., Christakou, A., & van Reekum, C. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-44150-1 · Cited by 32
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
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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
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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 32
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
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
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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
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
Schuler, K. D., Yang, C. D., & Newport, E. L. (2021) · doi:10.31234/osf.io/utgds · Cited by 28
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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 30
Metadata
- 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
- 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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