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Multicenter Study
. 2022 Jan;43(1):431-451.
doi: 10.1002/hbm.25364. Epub 2021 Feb 17.

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

Sophia Frangou #  1   2 Amirhossein Modabbernia #  1 Steven C R Williams  3 Efstathios Papachristou  4 Gaelle E Doucet  5 Ingrid Agartz  6   7   8 Moji Aghajani  9   10 Theophilus N Akudjedu  11   12 Anton Albajes-Eizagirre  13   14 Dag Alnaes  6   15 Kathryn I Alpert  16 Micael Andersson  17 Nancy C Andreasen  18 Ole A Andreassen  6 Philip Asherson  19 Tobias Banaschewski  20 Nuria Bargallo  21   22 Sarah Baumeister  20 Ramona Baur-Streubel  23 Alessandro Bertolino  24 Aurora Bonvino  25 Dorret I Boomsma  25 Stefan Borgwardt  26 Josiane Bourque  27 Daniel Brandeis  20 Alan Breier  28 Henry Brodaty  29 Rachel M Brouwer  30 Jan K Buitelaar  31   32   33 Geraldo F Busatto  34 Randy L Buckner  35   36 Vincent Calhoun  37 Erick J Canales-Rodríguez  13   14 Dara M Cannon  12 Xavier Caseras  38 Francisco X Castellanos  39 Simon Cervenka  8   40 Tiffany M Chaim-Avancini  34 Christopher R K Ching  41 Victoria Chubar  42 Vincent P Clark  43   44 Patricia Conrod  45 Annette Conzelmann  46 Benedicto Crespo-Facorro  14   47 Fabrice Crivello  48 Eveline A Crone  49   50 Anders M Dale  51   52 Udo Dannlowski  53 Christopher Davey  54 Eco J C de Geus  25 Lieuwe de Haan  55 Greig I de Zubicaray  56 Anouk den Braber  25 Erin W Dickie  57   58 Annabella Di Giorgio  59 Nhat Trung Doan  6 Erlend S Dørum  6   60   61 Stefan Ehrlich  62   63 Susanne Erk  64 Thomas Espeseth  59   65 Helena Fatouros-Bergman  8   40 Simon E Fisher  33   66 Jean-Paul Fouche  67 Barbara Franke  33   68   69 Thomas Frodl  70 Paola Fuentes-Claramonte  13   14 David C Glahn  71 Ian H Gotlib  72 Hans-Jörgen Grabe  73   74 Oliver Grimm  75 Nynke A Groenewold  67   76 Dominik Grotegerd  76 Oliver Gruber  77 Patricia Gruner  78   79 Rachel E Gur  27   80   81 Ruben C Gur  27   80   81 Tim Hahn  53 Ben J Harrison  82 Catharine A Hartman  83 Sean N Hatton  84 Andreas Heinz  64 Dirk J Heslenfeld  85 Derrek P Hibar  86 Ian B Hickie  84 Beng-Choon Ho  18 Pieter J Hoekstra  87 Sarah Hohmann  20 Avram J Holmes  88 Martine Hoogman  33   68 Norbert Hosten  89 Fleur M Howells  67   76 Hilleke E Hulshoff Pol  30 Chaim Huyser  90 Neda Jahanshad  42 Anthony James  91 Terry L Jernigan  92 Jiyang Jiang  29 Erik G Jönsson  6 John A Joska  67 Rene Kahn  1 Andrew Kalnin  93 Ryota Kanai  94 Marieke Klein  33   68   95 Tatyana P Klyushnik  96 Laura Koenders  55 Sanne Koops  30 Bernd Krämer  77 Jonna Kuntsi  19 Jim Lagopoulos  97 Luisa Lázaro  14   98 Irina Lebedeva  96 Won Hee Lee  1 Klaus-Peter Lesch  99 Christine Lochner  100 Marise W J Machielsen  55 Sophie Maingault  48 Nicholas G Martin  101 Ignacio Martínez-Zalacaín  14   102 David Mataix-Cols  8   40 Bernard Mazoyer  48 Colm McDonald  12 Brenna C McDonald  28 Andrew M McIntosh  103 Katie L McMahon  104 Genevieve McPhilemy  12 Susanne Meinert  53 José M Menchón  14   102 Sarah E Medland  101 Andreas Meyer-Lindenberg  105 Jilly Naaijen  32   33 Pablo Najt  12 Tomohiro Nakao  106 Jan E Nordvik  107 Lars Nyberg  17   108 Jaap Oosterlaan  109 Víctor Ortiz-García de la Foz  14   110   111 Yannis Paloyelis  3 Paul Pauli  23   112 Giulio Pergola  24 Edith Pomarol-Clotet  13   14 Maria J Portella  13   113 Steven G Potkin  114 Joaquim Radua  8   22   115 Andreas Reif  75 Daniel A Rinker  6 Joshua L Roffman  36 Pedro G P Rosa  34 Matthew D Sacchet  116 Perminder S Sachdev  29 Raymond Salvador  13 Pascual Sánchez-Juan  110   117 Salvador Sarró  13 Theodore D Satterthwaite  27 Andrew J Saykin  28 Mauricio H Serpa  34 Lianne Schmaal  118   119 Knut Schnell  120 Gunter Schumann  19   121 Kang Sim  122 Jordan W Smoller  123 Iris Sommer  124 Carles Soriano-Mas  14   102 Dan J Stein  100 Lachlan T Strike  125 Suzanne C Swagerman  25 Christian K Tamnes  6   7   126 Henk S Temmingh  67 Sophia I Thomopoulos  41 Alexander S Tomyshev  96 Diana Tordesillas-Gutiérrez  13   127 Julian N Trollor  29 Jessica A Turner  128 Anne Uhlmann  67 Odile A van den Heuvel  9 Dennis van den Meer  6   15   129 Nic J A van der Wee  130   131 Neeltje E M van Haren  132 Dennis van 't Ent  25 Theo G M van Erp  114   133   134 Ilya M Veer  64 Dick J Veltman  9 Aristotle Voineskos  57   58 Henry Völzke  134   135   136 Henrik Walter  64 Esther Walton  137 Lei Wang  138 Yang Wang  139 Thomas H Wassink  18 Bernd Weber  140 Wei Wen  29 John D West  28 Lars T Westlye  60 Heather Whalley  103 Lara M Wierenga  141 Katharina Wittfeld  73   74 Daniel H Wolf  27 Amanda Worker  2 Margaret J Wright  125 Kun Yang  142 Yulyia Yoncheva  143 Marcus V Zanetti  34   144 Georg C Ziegler  145 Karolinska Schizophrenia Project (KaSP)Paul M Thompson  41 Danai Dima  3   146
Affiliations
Multicenter Study

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

Sophia Frangou et al. Hum Brain Mapp. 2022 Jan.

Abstract

Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.

Keywords: aging; cortical thickness; development; trajectories.

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Conflict of interest statement

Hans Jörgen Grabe: Travel grants and speaker honoraria from Fresenius Medical Care, Neuraxpharm, Servier and Janssen Cilag; reseach funding from Fresenius Medical Care. Ole A Andreasen: Consultant to HealthLytix, speaker honorarium from Lundbeck. Anders M Dale: Founder and member of the Scientific Advisory Board CorTechs Labs, Inc where he holds equity; member of the Scientific Advisory of Human Longevity Inc; research grants with General Electric Healthcare.

Figures

FIGURE 1
FIGURE 1
ENIGMA Lifespan samples. Abbreviations are explained in Table 1; further details of each sample are provided in the supplemental material
FIGURE 2
FIGURE 2
Illustrative Fractional Polynomial Plots for the association of age and cortical thickness. We present exemplars from each lobe as derived from fractional polynomial analyses of the entire data set. Details regarding the association of age and thickness for all cortical regions (for the entire data set and separately for males and females) are given in the supplementary material
FIGURE 3
FIGURE 3
Correlation between age and cortical thickness across age‐groups. Left panel: early life age‐group (3–29 years); Middle panel: middle life age‐group (30–59 years); Right panel: late life age‐group (60–90 years). Blue hues = negative correlations; Red hues = positive correlations
FIGURE 4
FIGURE 4
Interindividual variability in cortical thickness across the lifespan. The plot presents the pooled SD in regional cortical thickness values om the early, middle and late life age‐groups
FIGURE 5
FIGURE 5
Illustrative normative centile curves of cortical thickness. We present exemplar sets of centile curves for each lobe as derived from LMS of the entire data set. Normative centile curves for all cortical regions (for the entire data set and separately for males and females) are given in the supplementary material

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