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Development of the Cerebral Cortex across Adolescence: A Multisample Study of Inter-Related Longitudinal Changes in Cortical Volume, Surface Area, and Thickness

Christian K. Tamnes, Megan M. Herting, Anne-Lise Goddings and 8 more

The Journal of Neuroscience · 2017 · CC BY-NC-SA

doi:10.1523/jneurosci.3302-16.2017

Abstract

Before we can assess and interpret how developmental changes in human brain structure relate to cognition, affect, and motivation, and how these processes are perturbed in clinical or at-risk populations, we must first precisely understand typical brain development and how changes in different structural components relate to each other. We conducted a multisample magnetic resonance imaging study to investigate the development of cortical volume, surface area, and thickness, as well as their inter-relationships, from late childhood to early adulthood (7–29 years) using four separate longitudinal samples including 388 participants and 854 total scans. These independent datasets were processed and quality-controlled using the same methods, but analyzed separately to study the replicability of the results across sample and image-acquisition characteristics. The results consistently showed widespread and regionally variable nonlinear decreases in cortical volume and thickness and comparably smaller steady decreases in surface area. Further, the dominant contributor to cortical volume reductions during adolescence was thinning. Finally, complex regional and topological patterns of associations between changes in surface area and thickness were observed. Positive relationships were seen in sulcal regions in prefrontal and temporal cortices, while negative relationships were seen mainly in gyral regions in more posterior cortices. Collectively, these results help resolve previous inconsistencies regarding the structural development of the cerebral cortex from childhood to adulthood, and provide novel insight into how changes in the different dimensions of the cortex in this period of life are inter-related. SIGNIFICANCE STATEMENT Different measures of brain anatomy develop differently across adolescence. Their precise trajectories and how they relate to each other throughout development are important to know if we are to fully understand both typical development and disorders involving aberrant brain development. However, our understanding of such trajectories and relationships is still incomplete. To provide accurate characterizations of how different measures of cortical structure develop, we performed an MRI investigation across four independent datasets. The most profound anatomical change in the cortex during adolescence was thinning, with the largest decreases observed in the parietal lobe. There were complex regional patterns of associations between changes in surface area and thickness, with positive relationships seen in sulcal regions in prefrontal and temporal cortices, and negative relationships seen mainly in gyral regions in more posterior cortices.

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References 81

  1. 1.

    Alemán-Gómez Y, Janssen J, Schnack H, Balaban E, Pina-Camacho L, Alfaro-Almagro F, Castro-Fornieles J, Otero S, Baeza I, Moreno D, Bargalló N, Parellada M, Arango C, Desco M (2013 ) The human cerebral cortex flattens during adolescence. J Neurosci 33:15004–15010.

    Not in our library10.1523/jneurosci.1459-13.2013

  2. 2.

    Alexander-Bloch AF, Reiss PT, Rapoport J, McAdams H, Giedd JN, Bullmore ET, Gogtay N (2014 ) Abnormal cortical growth in schizophrenia targets normative modules of synchronized development. Biol Psychiatry 76:438–446.

    Not in our library10.1016/j.biopsych.2014.02.010

  3. 3.

    Alexander-Bloch A, Clasen L, Stockman M, Ronan L, Lalonde F, Giedd J, Raznahan A (2016 ) Subtle in-scanner motion biases automated measurement of brain anatomy from in vivo MRI. Hum Brain Mapp 37:2385–2397.

    Not in our library10.1002/hbm.23180

  4. 4.

    Amlien IK, Fjell AM, Tamnes CK, Grydeland H, Krogsrud SK, Chaplin TA, Rosa MG, Walhovd KB (2016 ) Organizing principles of human cortical development-thickness and area from 4 to 30 years: insights from comparative primate neuroanatomy. Cereb Cortex 26:257–267.

    Not in our library10.1093/cercor/bhu214

  5. 5.

    Aubert-Broche B, Fonov VS, García-Lorenzo D, Mouiha A, Guizard N, Coupé P, Eskildsen SF, Collins DL (2013 ) A new method for structural volume analysis of longitudinal brain MRI data and its application in studying the growth trajectories of anatomical brain structures in childhood. Neuroimage 82:393–402.

    Not in our library10.1016/j.neuroimage.2013.05.065

  6. 6.

    Bartsch H, Thompson WK, Jernigan TL, Dale AM (2014 ) A web-portal for interactive data exploration, visualization, and hypothesis testing. Front Neuroinform 8:25.

    Not in our library10.3389/fninf.2014.00025

  7. 7.

    Benes FM (1989 ) Myelination of cortical-hippocampal relays during late adolescence. Schizophr Bull 15:585–593.

    Not in our library10.1093/schbul/15.4.585

  8. 8.

    Benes FM, Turtle M, Khan Y, Farol P (1994 ) Myelination of a key relay zone in the hippocampal formation occurs in the human brain during childhood, adolescence, and adulthood. Arch Gen Psychiatry 51:477–484.

    Not in our library10.1001/archpsyc.1994.03950060041004

  9. 9.

    Bhardwaj RD, Curtis MA, Spalding KL, Buchholz BA, Fink D, Björk-Eriksson T, Nordborg C, Gage FH, Druid H, Eriksson PS, Frisén J (2006 ) Neocortical neurogenesis in humans is restricted to development. Proc Natl Acad Sci U S A 103:12564–12568.

    Not in our library10.1073/pnas.0605177103

  10. 10.

    Blakemore SJ (2012 ) Imaging brain development: the adolescent brain. Neuroimage 61:397–406.

    Not in our library10.1016/j.neuroimage.2011.11.080

  11. 11.

    Bourgeois JP, Rakic P (1993 ) Changes of synaptic density in the primary visual cortex of the macaque monkey from fetal to adult stage. J Neurosci 13:2801–2820.

    Not in our library10.1523/jneurosci.13-07-02801.1993

  12. 12.

    Braams BR, van Duijvenvoorde AC, Peper JS, Crone EA (2015 ) Longitudinal changes in adolescent risk-taking: a comprehensive study of neural responses to rewards, pubertal development, and risk-taking behavior. J Neurosci 35:7226–7238.

    Not in our library10.1523/jneurosci.4764-14.2015

  13. 13.

    Brown TT, Kuperman JM, Chung Y, Erhart M, McCabe C, Hagler DJ Jr, Venkatraman VK, Akshoomoff N, Amaral DG, Bloss CS, Casey BJ, Chang L, Ernst TM, Frazier JA, Gruen JR, Kaufmann WE, Kenet T, Kennedy DN, Murray SS, Sowell ER, et al (2012 ) Neuroanatomical assessment of biological maturity. Curr Biol 22:1693–1698.

    Not in our library10.1016/j.cub.2012.07.002

  14. 14.

    Chen CH, Fiecas M, Gutiérrez ED, Panizzon MS, Eyler LT, Vuoksimaa E, Thompson WK, Fennema-Notestine C, Hagler DJ Jr, Jernigan TL, Neale MC, Franz CE, Lyons MJ, Fischl B, Tsuang MT, Dale AM, Kremen WS (2013 ) Genetic topography of brain morphology. Proc Natl Acad Sci U S A 110:17089–17094.

    Not in our library10.1073/pnas.1308091110

  15. 15.

    Chenn A, Walsh CA (2002 ) Regulation of cerebral cortical size by control of cell cycle exit in neural precursors. Science 297:365–569.

    Not in our library10.1126/science.1074192

  16. 16.

    Dale AM, Sereno MI (1993 ) Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J Cogn Neurosci 5:162–176.

    Not in our library10.1162/jocn.1993.5.2.162

  17. 17.

    Dale AM, Fischl B, Sereno MI (1999 ) Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9:179–194.

    Not in our library10.1006/nimg.1998.0395

  18. 18.

    Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, Buckner RL, Dale AM, Maguire RP, Hyman BT, Albert MS, Killiany RJ (2006 ) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:968–980.

    Not in our library10.1016/j.neuroimage.2006.01.021

  19. 19.

    Ducharme S, Albaugh MD, Nguyen TV, Hudziak JJ, Mateos-Pérez JM, Labbe A, Evans AC, Karama S, Brain Development Cooperative Group (2015 ) Trajectories of cortical surface area and cortical volume maturation in normal brain development. Data Brief 5:929–938.

    Not in our library10.1016/j.dib.2015.10.044

  20. 20.

    Ducharme S, Albaugh MD, Nguyen TV, Hudziak JJ, Mateos-Pérez JM, Labbe A, Evans AC, Karama S, Brain Development Cooperative Group (2016 ) Trajectories of cortical thickness maturation in normal brain development—the importance of quality control procedures. Neuroimage 125:267–279.

    Not in our library10.1016/j.neuroimage.2015.10.010

  21. 21.

    Fischl B (2012 ) FreeSurfer. Neuroimage 62:774–781.

    Not in our library10.1016/j.neuroimage.2012.01.021

  22. 22.

    Fischl B, Dale AM (2000 ) Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci U S A 97:11050–11055.

    Not in our library10.1073/pnas.200033797

  23. 23.

    Fischl B, Sereno MI, Dale AM (1999 ) Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system. Neuroimage 9:195–207.

    Not in our library10.1006/nimg.1998.0396

  24. 24.

    Fischl B, Liu A, Dale AM (2001 ) Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging 20:70–80.

    Not in our library10.1109/42.906426

  25. 25.

    Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM (2002 ) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33:341–355.

    Not in our library10.1016/s0896-6273(02)00569-x

  26. 26.

    Fjell AM, Walhovd KB, Westlye LT, Østby Y, Tamnes CK, Jernigan TL, Gamst A, Dale AM (2010 ) When does brain aging accelerate? Dangers of quadratic fits in cross-sectional studies. Neuroimage 50:1376–1383.

    Not in our library10.1016/j.neuroimage.2010.01.061

  27. 27.

    Fjell AM, Grydeland H, Krogsrud SK, Amlien I, Rohani DA, Ferschmann L, Storsve AB, Tamnes CK, Sala-Llonch R, Due-Tønnessen P, Bjørnerud A, Sølsnes AE, Håberg AK, Skranes J, Bartsch H, Chen CH, Thompson WK, Panizzon MS, Kremen WS, Dale AM, et al (2015 ) Development and aging of cortical thickness corresponds to genetic organization patterns. Proc Natl Acad Sci U S A 112:15462–15467.

    Not in our library10.1073/pnas.1508831112

  28. 28.

    Geschwind DH, Rakic P (2013 ) Cortical evolution: judge the brain by its cover. Neuron 80:633–647.

    Not in our library10.1016/j.neuron.2013.10.045

  29. 29.

    Giedd JN, Blumenthal J, Jeffries NO, Castellanos FX, Liu H, Zijdenbos A, Paus T, Evans AC, Rapoport JL (1999 ) Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci 2:861–863.

    Not in our library10.1038/13158

  30. 30.

    Giedd JN, Raznahan A, Alexander-Bloch A, Schmitt E, Gogtay N, Rapoport JL (2015 ) Child psychiatry branch of the National Institute of Mental Health longitudinal structural magnetic resonance imaging study of human brain development. Neuropsychopharmacology 40:43–49.

    Not in our library10.1038/npp.2014.236

  31. 31.

    Gilmore JH, Shi F, Woolson SL, Knickmeyer RC, Short SJ, Lin W, Zhu H, Hamer RM, Styner M, Shen D (2012 ) Longitudinal development of cortical and subcortical gray matter from birth to 2 years. Cereb Cortex 22:2478–2485.

    Not in our library10.1093/cercor/bhr327

  32. 32.
  33. 33.

    Hagler DJ Jr, Saygin AP, Sereno MI (2006 ) Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data. Neuroimage 33:1093–1103.

    Not in our library10.1016/j.neuroimage.2006.07.036

  34. 34.

    Hayasaka S, Nichols TE (2003 ) Validating cluster size inference: random field and permutation methods. Neuroimage 20:2343–2356.

    Not in our library10.1016/j.neuroimage.2003.08.003

  35. 35.

    Herting MM, Gautam P, Spielberg JM, Kan E, Dahl RE, Sowell ER (2014 ) The role of testosterone and estradiol in brain volume changes across adolescence: a longitudinal structural MRI study. Hum Brain Mapp 35:5633–5645.

    Not in our library10.1002/hbm.22575

  36. 36.

    Huttenlocher PR, Dabholkar AS (1997 ) Regional differences in synaptogenesis in human cerebral cortex. J Comp Neurol 387:167–178.

    Not in our library10.1002/(sici)1096-9861(19971020)387:2<167::aid-cne1>3.0.co;2-z

  37. 37.

    Im K, Lee JM, Lyttelton O, Kim SH, Evans AC, Kim SI (2008 ) Brain size and cortical structure in the adult human brain. Cereb Cortex 18:2181–2191.

    Not in our library10.1093/cercor/bhm244

  38. 38.

    Jernigan TL, Baaré WF, Stiles J, Madsen KS (2011 ) Postnatal brain development: structural imaging of dynamic neurodevelopmental processes. Prog Brain Res 189:77–92.

    Not in our library10.1016/b978-0-444-53884-0.00019-1

  39. 39.
  40. 40.

    Kremen WS, Fennema-Notestine C, Eyler LT, Panizzon MS, Chen CH, Franz CE, Lyons MJ, Thompson WK, Dale AM (2013 ) Genetics of brain structure: contributions from the Vietnam Era Twin Study of Aging. Am J Med Genet B Neuropsychiatr Genet 162B:751–761.

    Not in our library10.1002/ajmg.b.32162

  41. 41.

    Lebel C, Beaulieu C (2011 ) Longitudinal development of human brain wiring continues from childhood into adulthood. J Neurosci 31:10937–10947.

    Not in our library10.1523/jneurosci.5302-10.2011

  42. 42.

    Lenroot RK, Gogtay N, Greenstein DK, Wells EM, Wallace GL, Clasen LS, Blumenthal JD, Lerch J, Zijdenbos AP, Evans AC, Thompson PM, Giedd JN (2007 ) Sexual dimorphism of brain developmental trajectories during childhood and adolescence. Neuroimage 36:1065–1073.

    Not in our library10.1016/j.neuroimage.2007.03.053

  43. 43.

    Lyall AE, Shi F, Geng X, Woolson S, Li G, Wang L, Hamer RM, Shen D, Gilmore JH (2015 ) Dynamic development of regional cortical thickness and surface area in early childhood. Cereb Cortex 25:2204–2212.

    Not in our library10.1093/cercor/bhu027

  44. 44.

    Marwha D, Halari M, Eliot L (2017 ) Meta-analysis reveals a lack of sexual dimorphism in human amygdala volume. Neuroimage 147:282–294.

    Not in our library10.1016/j.neuroimage.2016.12.021

  45. 45.

    Mills KL, Tamnes CK (2014 ) Methods and considerations for longitudinal structural brain imaging analysis across development. Dev Cogn Neurosci 9:172–190.

    Not in our library10.1016/j.dcn.2014.04.004

  46. 46.

    Mills KL, Lalonde F, Clasen LS, Giedd JN, Blakemore SJ (2014a ) Developmental changes in the structure of the social brain in late childhood and adolescence. Soc Cogn Affect Neurosci 9:123–131.

    Not in our library10.1093/scan/nss113

  47. 47.

    Mills KL, Goddings AL, Clasen LS, Giedd JN, Blakemore SJ (2014b ) The developmental mismatch in structural brain maturation during adolescence. Dev Neurosci 36:147–160.

    Not in our library10.1159/000362328

  48. 48.
  49. 49.

    Mutlu AK, Schneider M, Debbané M, Badoud D, Eliez S, Schaer M (2013 ) Sex differences in thickness, and folding developments throughout the cortex. Neuroimage 82:200–207.

    Not in our library10.1016/j.neuroimage.2013.05.076

  50. 50.

    Petanjek Z, Judaš M, Šimic G, Rasin MR, Uylings HB, Rakic P, Kostovic I (2011 ) Extraordinary neoteny of synaptic spines in the human prefrontal cortex. Proc Natl Acad Sci U S A 108:13281–13286.

    Not in our library10.1073/pnas.1105108108

  51. 51.

    Rakic P (1988 ) Specification of cerebral cortical areas. Science 241:170–176.

    Not in our library10.1126/science.3291116

  52. 52.

    Raznahan A, Shaw P, Lalonde F, Stockman M, Wallace GL, Greenstein D, Clasen L, Gogtay N, Giedd JN (2011 ) How does your cortex grow? J Neurosci 31:7174–7177.

    Not in our library10.1523/jneurosci.0054-11.2011

  53. 53.

    Reuter M, Rosas HD, Fischl B (2010 ) Highly accurate inverse consistent registration: a robust approach. Neuroimage 53:1181–1196.

    Not in our library10.1016/j.neuroimage.2010.07.020

  54. 54.

    Reuter M, Schmansky NJ, Rosas HD, Fischl B (2012 ) Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage 61:1402–1418.

    Not in our library10.1016/j.neuroimage.2012.02.084

  55. 55.

    Reuter M, Tisdall MD, Qureshi A, Buckner RL, van der Kouwe AJ, Fischl B (2015 ) Head motion during MRI acquisition reduces gray matter volume and thickness estimates. Neuroimage 107:107–115.

    Not in our library10.1016/j.neuroimage.2014.12.006

  56. 56.

    Satterthwaite TD, Wolf DH, Loughead J, Ruparel K, Elliott MA, Hakonarson H, Gur RC, Gur RE (2012 ) Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth. Neuroimage 60:623–632.

    Not in our library10.1016/j.neuroimage.2011.12.063

  57. 57.

    Ségonne F, Dale AM, Busa E, Glessner M, Salat D, Hahn HK, Fischl B (2004 ) A hybrid approach to the skull stripping problem in MRI. Neuroimage 22:1060–1075.

    Not in our library10.1016/j.neuroimage.2004.03.032

  58. 58.

    Ségonne F, Pacheco J, Fischl B (2007 ) Geometrically accurate topology-correction of cortical surfaces using nonseparating loops. IEEE Trans Med Imaging 26:518–529.

    Not in our library10.1109/tmi.2006.887364

  59. 59.

    Seldon HL (2005 ) Does brain white matter growth expand the cortex like a balloon? Hypothesis and consequences. Laterality 10:81–95.

    Not in our library10.1080/13576500342000310

  60. 60.

    Seldon HL (2007 ) Extended neocortical maturation time encompasses speciation, fatty acid and lateralization theories of the evolution of schizophrenia and creativity. Med Hypotheses 69:1085–1089.

    Not in our library10.1016/j.mehy.2007.03.001

  61. 61.

    Shaw P, Lerch J, Greenstein D, Sharp W, Clasen L, Evans A, Giedd J, Castellanos FX, Rapoport J (2006 ) Longitudinal mapping of cortical thickness and clinical outcome in children and adolescents with attention-deficit/hyperactivity disorder. Arch Gen Psychiatry 63:540–549.

    Not in our library10.1001/archpsyc.63.5.540

  62. 62.

    Shaw P, Eckstrand K, Sharp W, Blumenthal J, Lerch JP, Greenstein D, Clasen L, Evans A, Giedd J, Rapoport JL (2007 ) Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation. Proc Natl Acad Sci U S A 104:19649–19654.

    Not in our library10.1073/pnas.0707741104

  63. 63.

    Shaw P, Kabani NJ, Lerch JP, Eckstrand K, Lenroot R, Gogtay N, Greenstein D, Clasen L, Evans A, Rapoport JL, Giedd JN, Wise SP (2008 ) Neurodevelopmental trajectories of the human cerebral cortex. J Neurosci 28:3586–3594.

    Not in our library10.1523/jneurosci.5309-07.2008

  64. 64.

    Sled JG, Zijdenbos AP, Evans AC (1998 ) A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 17:87–97.

    Not in our library10.1109/42.668698

  65. 65.

    Sowell ER, Thompson PM, Leonard CM, Welcome SE, Kan E, Toga AW (2004 ) Longitudinal mapping of cortical thickness and brain growth in normal children. J Neurosci 24:8223–8231.

    Not in our library10.1523/jneurosci.1798-04.2004

  66. 66.

    Storsve AB, Fjell AM, Tamnes CK, Westlye LT, Overbye K, Aasland HW, Walhovd KB (2014 ) Differential longitudinal changes in cortical thickness, surface area and volume across the adult life span: regions of accelerating and decelerating change. J Neurosci 34:8488–8498.

    Not in our library10.1523/jneurosci.0391-14.2014

  67. 67.

    Sullivan EV, Pfefferbaum A, Rohlfing T, Baker FC, Padilla ML, Colrain IM (2011 ) Developmental change in regional brain structure over 7 months in early adolescence: comparison of approaches for longitudinal atlas-based parcellation. Neuroimage 57:214–224.

    Not in our library10.1016/j.neuroimage.2011.04.003

  68. 68.

    Tamnes CK, Walhovd KB, Dale AM, Østby Y, Grydeland H, Richardson G, Westlye LT, Roddey JC, Hagler DJ Jr, Due-Tønnessen P, Holland D, Fjell AM, Alzheimer's Disease Neuroimaging Initiative (2013 ) Brain development and aging: overlapping and unique patterns of change. Neuroimage 68:63–74.

    Not in our library10.1016/j.neuroimage.2012.11.039

  69. 69.

    Tisdall MD, Reuter M, Qureshi A, Buckner RL, Fischl B, van der Kouwe AJ (2016 ) Prospective motion correction with volumetric navigators (vNavs) reduces the bias and variance in brain morphometry induced by subject motion. Neuroimage 127:11–22.

    Not in our library10.1016/j.neuroimage.2015.11.054

  70. 70.

    van Soelen IL, Brouwer RM, van Baal GC, Schnack HG, Peper JS, Collins DL, Evans AC, Kahn RS, Boomsma DI, Hulshoff Pol HE (2012 ) Genetic influences on thinning of the cerebral cortex during development. Neuroimage 59:3871–3880.

    Not in our library10.1016/j.neuroimage.2011.11.044

  71. 71.

    Vandekar SN, Shinohara RT, Raznahan A, Roalf DR, Ross M, DeLeo N, Ruparel K, Verma R, Wolf DH, Gur RC, Gur RE, Satterthwaite TD (2015 ) Topologically dissociable patterns of development of the human cerebral cortex. J Neurosci 35:599–609.

    Not in our library10.1523/jneurosci.3628-14.2015

  72. 72.

    Vidal-Piñeiro D, Walhovd KB, Storsve AB, Grydeland H, Rohani DA, Fjell AM (2016 ) Accelerated longitudinal gray/white matter contrast decline in aging in lightly myelinated cortical regions. Hum Brain Mapp 37:3669–3684.

    Not in our library10.1002/hbm.23267

  73. 73.

    Vijayakumar N, Allen NB, Youssef G, Dennison M, Yücel M, Simmons JG, Whittle S (2016 ) Brain development during adolescence: a mixed-longitudinal investigation of cortical thickness, surface area, and volume. Hum Brain Mapp 37:2027–2038.

    Not in our library10.1002/hbm.23154

  74. 74.

    Walhovd KB, Fjell AM, Giedd J, Dale AM, Brown TT (2017 ) Through thick and thin: a need to reconcile contradictory results on trajectories in human cortical development. Cereb Cortex 1:11

    Not in our library10.1093/cercor/bhv301

  75. 75.

    Whitaker KJ, Vértes PE, Romero-Garcia R, Váša F, Moutoussis M, Prabhu G, Weiskopf N, Callaghan MF, Wagstyl K, Rittman T, Tait R, Ooi C, Suckling J, Inkster B, Fonagy P, Dolan RJ, Jones PB, Goodyer IM, the NSPN Consortium, Bullmore ET (2016 ) Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome. Proc Natl Acad Sci U S A 113:9105–9110.

    Not in our library10.1073/pnas.1601745113

  76. 76.

    White T, Su S, Schmidt M, Kao CY, Sapiro G (2010 ) The development of gyrification in childhood and adolescence. Brain Cogn 72:36–45.

    Not in our library10.1016/j.bandc.2009.10.009

  77. 77.

    Wierenga LM, Langen M, Oranje B, Durston S (2014 ) Unique developmental trajectories of cortical thickness and surface area. Neuroimage 87:120–126.

    Not in our library10.1016/j.neuroimage.2013.11.010

  78. 78.

    Wood SN (2006 ) Generalized additive models: an introduction with R. Boca Raton, FL: Chapman and Hall/CRC.

    Not in our library

  79. 79.

    Yakovlev PA, Lecours IR (1967 ) The myelogenetic cucles of regional maturation of the brain. In: Regional development of the brain in early life (Minkowski A, ed), pp 3–70. Oxford: Blackwell.

    Not in our library

  80. 80.

    Zhou D, Lebel C, Treit S, Evans A, Beaulieu C (2015 ) Accelerated longitudinal cortical thinning in adolescence. Neuroimage 104:138–145.

    Not in our library10.1016/j.neuroimage.2014.10.005

  81. 81.

    Zielinski BA, Prigge MB, Nielsen JA, Froehlich AL, Abildskov TJ, Anderson JS, Fletcher PT, Zygmunt KM, Travers BG, Lange N, Alexander AL, Bigler ED, Lainhart JE (2014 ) Longitudinal changes in cortical thickness in autism and typical development. Brain 137:1799–1812.

    Not in our library10.1093/brain/awu083

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