J. Ashburner and K. J. Friston, Unified segmentation, NeuroImage, vol.26, issue.3, pp.839-851, 2005.
DOI : 10.1016/j.neuroimage.2005.02.018

B. B. Avants, N. J. Tustison, G. Song, P. A. Cook, A. Klein et al., A reproducible evaluation of ANTs similarity metric performance in brain image registration, NeuroImage, vol.54, issue.3, pp.2033-2044, 2011.
DOI : 10.1016/j.neuroimage.2010.09.025

J. B. Becker and M. Hu, Sex differences in drug abuse, Frontiers in Neuroendocrinology, vol.29, issue.1, pp.36-47, 2008.
DOI : 10.1016/j.yfrne.2007.07.003

B. Development-cooperative and G. , Total and Regional Brain Volumes in a Population-Based Normative Sample from 4 to 18 Years: The NIH MRI Study of Normal Brain Development, Cerebral Cortex, vol.22, issue.1, pp.1-12, 2012.
DOI : 10.1093/cercor/bhr018

R. P. Carne, S. Vogrin, L. Litewka, and M. J. Cook, Cerebral cortex: An MRI-based study of volume and variance with age and sex, Journal of Clinical Neuroscience, vol.13, issue.1, pp.60-72, 2006.
DOI : 10.1016/j.jocn.2005.02.013

C. E. Coffey, J. F. Lucke, J. A. Saxton, G. Ratcliff, L. J. Unitas et al., Sex Differences in Brain Aging, Archives of Neurology, vol.55, issue.2, pp.169-179, 1998.
DOI : 10.1001/archneur.55.2.169

P. Coupe, J. V. Manjon, V. Fonov, J. Pruessner, M. Robles et al., Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation, NeuroImage, vol.54, issue.2, pp.940-954, 2011.
DOI : 10.1016/j.neuroimage.2010.09.018
URL : https://hal.archives-ouvertes.fr/inserm-00541534

S. Ducharme, M. D. Albaugh, T. V. Nguyen, J. J. Hudziak, J. M. Mateos-perez et al., Trajectories of cortical thickness maturation in normal brain development ??? The importance of quality control procedures, NeuroImage, vol.125, pp.267-279, 2016.
DOI : 10.1016/j.neuroimage.2015.10.010

P. S. Eriksson, E. Perfilieva, T. Björk-eriksson, A. Alborn, C. Nordborg et al., Neurogenesis in the adult human hippocampus, Nature Medicine, vol.92, issue.11, pp.1313-1317, 1998.
DOI : 10.1038/383624a0

A. M. Fjell, L. Mcevoy, D. Holland, A. M. Dale, K. B. Walhovd et al., What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus, Progress in Neurobiology, vol.117, pp.20-40, 2014.
DOI : 10.1016/j.pneurobio.2014.02.004

A. M. Fjell, L. T. Westlye, I. Amlien, T. Espeseth, I. Reinvang et al., High Consistency of Regional Cortical Thinning in Aging across Multiple Samples, Cerebral Cortex, vol.19, issue.9, pp.2001-2012, 2009.
DOI : 10.1093/cercor/bhn232

A. M. Fjell, L. T. Westlye, H. Grydeland, I. Amlien, T. Espeseth et al., Critical ages in the life course of the adult brain: nonlinear subcortical aging, Neurobiology of Aging, vol.34, issue.10, pp.2239-2247
DOI : 10.1016/j.neurobiolaging.2013.04.006

P. M. Forlano and C. S. Woolley, Quantitative analysis of pre-and postsynaptic sex differences in the nucleus accumbens, The Journal of Comparative Neurology, vol.518, issue.8, pp.1330-1348, 2010.
DOI : 10.1002/cne.22279

J. N. Giedd, J. Blumenthal, N. O. Jeffries, F. X. Castellanos, H. Liu et al., Brain development during childhood and adolescence: a longitudinal MRI study, Nature Neuroscience, vol.2, issue.10, pp.861-863, 1999.
DOI : 10.1038/13158

J. N. Giedd and J. L. Rapoport, Structural MRI of Pediatric Brain Development: What Have We Learned and Where Are We Going?, Neuron, vol.67, issue.5, pp.728-734, 2010.
DOI : 10.1016/j.neuron.2010.08.040

M. Hamer and J. A. Lieberman, Regional gray matter growth, sexual dimorphism, and cerebral asymmetry in the neonatal brain, Journal of Neuroscience, vol.27, issue.6, pp.1255-1260, 2007.

. Shen, Longitudinal development of cortical and subcortical gray matter from birth to 2 years, Cerebral Cortex, vol.22, issue.11, pp.2478-2485, 2012.

C. D. Good, I. S. Johnsrude, J. Ashburner, R. N. Henson, K. Fristen et al., A voxel-based morphometric study of ageing in 465 normal adult human brains, Biomedical Imaging, 2002.

P. S. Green and J. W. Simpkins, Neuroprotective effects of estrogens: potential mechanisms of action, International Journal of Developmental Neuroscience, vol.18, issue.4-5, pp.4-5, 2000.
DOI : 10.1016/S0736-5748(00)00017-4

S. Groeschel, B. Vollmer, M. King, and A. Connelly, Developmental changes in cerebral grey and white matter volume from infancy to adulthood, International Journal of Developmental Neuroscience, vol.28, issue.6, pp.481-489, 2010.
DOI : 10.1016/j.ijdevneu.2010.06.004

R. C. Gur, P. D. Mozley, S. M. Resnick, G. L. Gottlieb, M. Kohn et al., Gender differences in age effect on brain atrophy measured by magnetic resonance imaging., Proceedings of the National Academy of Sciences, vol.88, issue.7, pp.2845-2849, 1991.
DOI : 10.1073/pnas.88.7.2845

A. M. Hedman, N. E. Van-haren, H. G. Schnack, R. S. Kahn, H. Pol et al., Human brain changes across the life span: A review of 56 longitudinal magnetic resonance imaging studies, Human Brain Mapping, vol.52, issue.8, pp.1987-2002, 2012.
DOI : 10.1016/S0920-9964(01)00175-X

D. Holland, L. Chang, T. M. Ernst, M. Curran, S. D. Buchthal et al., Structural Growth Trajectories and Rates of Change in the First 3 Months of Infant Brain Development, JAMA Neurology, vol.71, issue.10, pp.71-1266, 2014.
DOI : 10.1001/jamaneurol.2014.1638

S. Hu, J. C. Pruessner, P. Coupe, and D. L. Collins, Volumetric analysis of medial temporal lobe structures in brain development from childhood to adolescence, NeuroImage, vol.74, pp.276-287, 2013.
DOI : 10.1016/j.neuroimage.2013.02.032
URL : https://hal.archives-ouvertes.fr/hal-00804345

P. R. Huttenlocher and A. S. Dabholkar, Regional differences in synaptogenesis in human cerebral cortex, The Journal of Comparative Neurology, vol.28, issue.2, pp.167-178, 1997.
DOI : 10.1007/978-3-642-70094-1_6

C. R. Jack, R. C. Petersen, Y. C. Xu, S. C. Waring, P. C. O-'brien et al., Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease, Neurology, vol.49, issue.3, pp.786-794, 1997.
DOI : 10.1212/WNL.49.3.786
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730601/pdf

T. L. Jernigan, W. F. Baaré, J. Stiles, and K. S. Madsen, Postnatal brain development, Progress in brain research 189, p.77, 2011.
DOI : 10.1016/B978-0-444-53884-0.00019-1

C. Lebel, M. Gee, R. Camicioli, M. Wieler, W. Martin et al., Diffusion tensor imaging of white matter tract evolution over the lifespan, NeuroImage, vol.60, issue.1, pp.340-352, 2012.
DOI : 10.1016/j.neuroimage.2011.11.094

R. K. Lenroot and J. N. Giedd, Sex differences in the adolescent brain, Brain and Cognition, vol.72, issue.1, pp.46-55, 2010.
DOI : 10.1016/j.bandc.2009.10.008

R. K. Lenroot, N. Gogtay, D. K. Greenstein, E. M. Wells, G. L. Wallace et al., Sexual dimorphism of brain developmental trajectories during childhood and adolescence, NeuroImage, vol.36, issue.4, pp.1065-1073, 2007.
DOI : 10.1016/j.neuroimage.2007.03.053

A. Makropoulos, P. Aljabar, R. Wright, B. Huning, N. Merchant et al., Regional growth and atlasing of the developing human brain, NeuroImage, vol.125, pp.456-478, 2016.
DOI : 10.1016/j.neuroimage.2015.10.047

A. Makropoulos, I. S. Gousias, C. Ledig, P. Aljabar, A. Serag et al., Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain, IEEE Transactions on Medical Imaging, vol.33, issue.9, pp.1818-1831, 2014.
DOI : 10.1109/TMI.2014.2322280

J. V. Manjon and P. Coupe, volBrain: An Online MRI Brain Volumetry System, Frontiers in Neuroinformatics, vol.13, issue.54, p.30, 2016.
DOI : 10.1109/42.363096
URL : https://hal.archives-ouvertes.fr/hal-01180069

J. V. Manjon, P. Coupe, L. Marti-bonmati, D. L. Collins, and M. Robles, Adaptive non-local means denoising of MR images with spatially varying noise levels, Journal of Magnetic Resonance Imaging, vol.17, issue.1, pp.192-203, 2010.
DOI : 10.1109/42.712135
URL : https://hal.archives-ouvertes.fr/inserm-00454564

J. V. Manjon, S. F. Eskildsen, P. Coupe, J. E. Romero, D. L. Collins et al., Nonlocal Intracranial Cavity Extraction, International Journal of Biomedical Imaging, vol.42, issue.1, p.820205, 2014.
DOI : 10.1109/42.363096
URL : https://hal.archives-ouvertes.fr/hal-01060348

J. V. Manjón, J. Tohka, and M. Robles, Improved estimates of partial volume coefficients from noisy brain MRI using spatial context, NeuroImage, vol.53, issue.2, pp.480-490, 2010.
DOI : 10.1016/j.neuroimage.2010.06.046

K. L. Mills, A. Goddings, M. M. Herting, R. Meuwese, S. Blakemore et al., Structural brain development between childhood and adulthood: Convergence across four longitudinal samples, NeuroImage, vol.141, pp.273-281, 2016.
DOI : 10.1016/j.neuroimage.2016.07.044
URL : http://doi.org/10.1016/j.neuroimage.2016.07.044

Y. Ostby, C. K. Tamnes, A. M. Fjell, L. T. Westlye, P. Due-tonnessen et al., Heterogeneity in Subcortical Brain Development: A Structural Magnetic Resonance Imaging Study of Brain Maturation from 8 to 30 Years, Journal of Neuroscience, vol.29, issue.38, pp.11772-11782, 2009.
DOI : 10.1523/JNEUROSCI.1242-09.2009

G. Paxinos and J. K. Mai, The human nervous system, 2004.

A. Pfefferbaum, T. Rohlfing, M. J. Rosenbloom, W. Chu, I. M. Colrain et al., Variation in longitudinal trajectories of regional brain volumes of healthy men and women (ages 10 to 85years) measured with atlas-based parcellation of MRI, NeuroImage, vol.65, pp.176-193, 2013.
DOI : 10.1016/j.neuroimage.2012.10.008

E. A. Phelps and J. E. Ledoux, Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior, Neuron, vol.48, issue.2, pp.175-187, 2005.
DOI : 10.1016/j.neuron.2005.09.025

R. A. Poldrack and K. J. Gorgolewski, Making big data open: data sharing in neuroimaging, Nature Neuroscience, vol.6, issue.11, pp.1510-1517, 2014.
DOI : 10.3389/fninf.2012.00007

O. Potvin, A. Mouiha, L. Dieumegarde, and S. , Duchesne and I. Alzheimer's Disease Neuroimaging, 2016.

. Giedd, How does your cortex grow?, Journal of Neuroscience, vol.31, pp.7174-7177, 2011.

P. Shaw, N. J. Kabani, J. P. Lerch, K. Eckstrand, R. Lenroot et al., Neurodevelopmental Trajectories of the Human Cerebral Cortex, Journal of Neuroscience, vol.28, issue.14, pp.3586-3594, 2008.
DOI : 10.1523/JNEUROSCI.5309-07.2008

K. L. Spalding, O. Bergmann, K. Alkass, S. Bernard, M. Salehpour et al., Dynamics of Hippocampal Neurogenesis in Adult Humans, Cell, vol.153, issue.6, pp.1219-1227, 2013.
DOI : 10.1016/j.cell.2013.05.002
URL : https://hal.archives-ouvertes.fr/hal-00839513

J. Stiles and T. L. Jernigan, The Basics of Brain Development, Neuropsychology Review, vol.2, issue.1, pp.327-348, 2010.
DOI : 10.1001/archneur.1994.00540210046012

. Kurachi, Male-specific volume expansion of the human hippocampus during adolescence, Cerebral Cortex, vol.15, issue.2, pp.187-193, 2005.

N. Tottenham and M. A. Sheridan, A review of adversity, the amygdala and the hippocampus: a consideration of developmental timing, Frontiers in Human Neuroscience, vol.3, p.68, 2009.
DOI : 10.3389/neuro.09.068.2009

N. J. Tustison, B. B. Avants, P. A. Cook, Y. Zheng, A. Egan et al., N4ITK: Improved N3 Bias Correction, IEEE Transactions on Medical Imaging, vol.29, issue.6, pp.1310-1320, 2010.
DOI : 10.1109/TMI.2010.2046908
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3071855

H. Van-praag, A. F. Schinder, B. R. Christie, N. Toni, T. D. Palmer et al., Functional neurogenesis in the adult hippocampus, Nature, vol.415, issue.6875, pp.1030-1034, 2002.
DOI : 10.1038/4151030a

N. Vijayakumar, N. B. Allen, G. Youssef, M. Dennison, M. Yucel et al., Brain development during adolescence: A mixed-longitudinal investigation of cortical thickness, surface area, and volume, Human Brain Mapping, vol.48, issue.6, pp.2027-2038, 2016.
DOI : 10.1016/j.neuroimage.2009.06.039

K. B. Walhovd, A. M. Fjell, J. Giedd, A. M. Dale, and T. T. Brown, Through Thick and Thin: a Need to Reconcile Contradictory Results on Trajectories in Human Cortical Development, Cerebral Cortex, p.301, 2016.
DOI : 10.1093/cercor/bhv301

K. B. Walhovd, L. T. Westlye, I. Amlien, T. Espeseth, I. Reinvang et al., Consistent neuroanatomical age-related volume differences across multiple samples, Neurobiology of Aging, vol.32, issue.5, pp.916-932, 2011.
DOI : 10.1016/j.neurobiolaging.2009.05.013
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4040218

L. Wang, F. Shi, G. Li, Y. Gao, W. Lin et al., Segmentation of neonatal brain MR images using patch-driven level sets, NeuroImage, vol.84, pp.141-158, 2014.
DOI : 10.1016/j.neuroimage.2013.08.008

P. A. Yushkevich, J. Piven, H. C. Hazlett, R. G. Smith, J. C. Ho et al., User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability, NeuroImage, vol.31, issue.3, pp.1116-1128, 2006.
DOI : 10.1016/j.neuroimage.2006.01.015
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.5701

G. Ziegler, R. Dahnke, L. Jancke, R. A. Yotter, A. May et al., Brain structural trajectories over the adult lifespan, Human Brain Mapping, vol.41, issue.10, pp.2377-2389, 2012.
DOI : 10.1016/j.neuroimage.2008.02.056