volume 604 issue 7906 pages 525-533

Brain charts for the human lifespan

R A I Bethlehem 1, 2
J Seidlitz 3, 4, 5
S. R. White 6, 7
J. W. Vogel 3, 8
K. M. ANDERSON 9
C. ADAMSON 10, 11
S. Adler 12
G. S. Alexopoulos 13
E. Anagnostou 14, 15
A Areces Gonzalez 16, 17
D E Astle 18
B Auyeung 1, 19
M. Ayub 20, 21
J Bae 22
G BALL 10, 23
S. Baron-Cohen 1, 24
R Beare 10, 11
S A Bedford 1
V. Benegal 25
F. Beyer 26
J Blangero 27
M Blesa Cábez 28
J P Boardman 28
M Borzage 29
J F Bosch Bayard 30, 31
N Bourke 32, 33
V D Calhoun 34
M M Chakravarty 31, 35
C. Chen 36
C Chertavian 5
G. Chetelat 37
Y. S. Chong 38, 39
Cole J H 40, 41
A. Corvin 42
M Costantino 43, 44
E. Courchesne 45, 46
F. Crivello 47
V L Cropley 48
J. Crosbie 49
N. Crossley 50, 51, 52
M. Delarue 37
R. Delorme 53, 54
S Desrivieres 55
G A Devenyi 56, 57
M A Di Biase 48, 58
R. Dolan 59, 60
K A Donald 61, 62
G. Donohoe 63
K Dunlop 64
A. D. Edwards 65, 66, 67
J T Elison 68
C T Ellis 9, 69
J A Elman 70
L Eyler 71, 72
D A Fair 68
E Feczko 68
P. C. Fletcher 73, 74
P. Fonagy 75, 76
C. E. Franz 70
L Galan Garcia 77
A Gholipour 78
J Giedd 79, 80
J. H. Gilmore 81
D.C. Glahn 82, 83
I. M. Goodyer 6
P E Grant 84
N A Groenewold 62, 85
F M Gunning 13
R E Gur 3, 5
R. C. Gur 3, 5
C F Hammill 49, 86
O. Hansson 87, 88
T. Hedden 89, 90
A. HEINZ 91
R. N. Henson 6, 18
K Heuer 92, 93
J. Hoare 94
B Holla 95, 96
A. J. Holmes 97
R Holt 1
H. Huang 98, 99
K. Im 82, 84
J Ipser 100
C. R. Jack 101
A P Jackowski 102, 103
T. Jia 104, 105, 106
K A Johnson 83, 107, 108, 109
P. B. Jones 6, 74
D. T. JONES 101, 110
R. S. KAHN 111
H Karlsson 112, 113
L. Karlsson 112, 113
R. Kawashima 114
E. A. Kelley 115
S. Kern 116, 117
K W Kim 118, 119, 120, 121
M. G. Kitzbichler 2, 6
W. S. Kremen 70
F Lalonde 122
B. Landeau 37
S ( Lee 123
J Lerch 86, 124, 125
J. D. LEWIS 126
J. Li 127
W Liao 127
C. Liston 128
M V Lombardo 1, 129
J. Lv 48, 130
C Lynch 64
T T Mallard 131
M. Marcelis 132, 133
R D Markello 134
S R Mathias 82
B Mazoyer 47, 135
P. McGuire 51
M.J. Meaney 135, 136
A. Mechelli 137
N. Medic 6
B. Misic 134
S. E. Morgan 6, 138, 139
D Mothersill 140, 141, 142
J Nigg 143
M Q W Ong 144
C Ortinau 145
R. Ossenkoppele 146, 147
M. Ouyang 98
L Palaniyappan 148
L Paly 37
P M Pan 149, 150
C. Pantelis 151, 152, 153
M M Park 154
T. Paus 155, 156
Z Pausova 49, 157
D Paz Linares 16, 158
A Pichet Binette 159, 160
K Pierce 45
X Qian 144
J. Qiu 161
A. Qiu 162
A Raznahan 122
T Rittman 163
A Rodrigue 82
C K Rollins 164, 165
R Romero Garcia 6, 166
L. Ronan 6
M.D. Rosenberg 167
D.H. Rowitch 168
G A Salum 169, 170
T D Satterthwaite 3, 8
H. L. Schaare 171, 172
R J Schachar 49
A. P. Schultz 83, 107, 173
G. Schumann 174, 175
M. SCHOLL 176, 177, 178
D. Sharp 32, 179
R. T. Shinohara 36, 180
I. Skoog 116, 117
C D Smyser 181
R. A. Sperling 83, 107, 108
D. J. Stein 182
A Stolicyn 183
J. Suckling 6, 74
G. Sullivan 28
Y. Taki 114
B. Thyreau 114
R. Toro 93, 184
N Traut 184, 185
K. A. Tsvetanov 163, 186
N B Turk Browne 9, 187
J J Tuulari 112, 188, 189
C. Tzourio 190
É Vachon Presseau 191
M J Valdes Sosa 77
P A Valdes Sosa 127, 192
S L Valk 193, 194
T van Amelsvoort 195
S N Vandekar 196, 197
L Vasung 134
L W Victoria 13
S. Villeneuve 134, 159, 160
A Villringer 26, 198
P E Vértes 6, 139
K Wagstyl 60
Y. S. Wang 199, 200, 201, 202
S K Warfield 78
V Warrier 6
E. Westman 203
M L Westwater 6
H C Whalley 183
A. V. Witte 26, 198, 204
N. Yang 199, 200, 201, 202
B Yeo 205, 206, 207, 208
H. YUN 84
A Zalesky 48, 209
H.J. Zar 85
A Zettergren 116
J. H. ZHOU 144, 205, 210
H Ziauddeen 6, 74, 211
A Zugman 150, 212, 213
X N Zuo 199, 200, 201, 202, 214
C. Rowe 6
G B Frisoni 3, 4, 5
12
 
UCL Great Ormond Street Institute for Child Health, London, UK
15
 
Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
24
 
Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
33
 
Care Research and Technology Centre, Dementia Research Institute, London, UK
52
 
Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
53
 
Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
60
 
Wellcome Centre for Human Neuroimaging, London, UK
61
 
Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
66
 
Evelina London Children’s Hospital, London, UK
67
 
MRC Centre for Neurodevelopmental Disorders, London, UK
69
 
Haskins Laboratories, New Haven, USA
71
 
Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, USA
74
 
Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
76
 
Anna Freud National Centre for Children and Families, London, UK
77
 
Cuban Center for Neuroscience, La Habana, Cuba
86
 
Mouse Imaging Centre, Toronto, Canada
93
 
Université de paris, Paris, France
103
 
National Institute of Developmental Psychiatry, Beijing, China
121
 
Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
133
 
Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, the Netherlands
150
 
National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
158
 
Cuban Neuroscience Center, Havana, Cuba
170
 
National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
172
 
Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
179
 
Care Research and Technology Centre, UK Dementia Research Institute, London, UK
201
 
National Basic Science Data Center, Beijing, China
213
 
Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
Publication typeJournal Article
Publication date2022-04-06
scimago Q1
wos Q1
SJR18.288
CiteScore78.1
Impact factor48.5
ISSN00280836, 14764687
Multidisciplinary
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes. MRI data from more than 100 studies have been aggregated to yield new insights about brain development and ageing, and create an interactive open resource for comparison of brain structures throughout the human lifespan, including those associated with neurological and psychiatric disorders.
Found 
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Bethlehem R. A. I. et al. Brain charts for the human lifespan // Nature. 2022. Vol. 604. No. 7906. pp. 525-533.
GOST all authors (up to 50) Copy
Bethlehem R. A. I. et al. Brain charts for the human lifespan // Nature. 2022. Vol. 604. No. 7906. pp. 525-533.
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BibTex (up to 50 authors) Copy
@article{2022_Bethlehem,
author = {R A I Bethlehem and J Seidlitz and S. R. White and J. W. Vogel and K. M. ANDERSON and C. ADAMSON and S. Adler and G. S. Alexopoulos and E. Anagnostou and A Areces Gonzalez and D E Astle and B Auyeung and M. Ayub and J Bae and G BALL and S. Baron-Cohen and R Beare and S A Bedford and V. Benegal and F. Beyer and J Blangero and M Blesa Cábez and J P Boardman and M Borzage and J F Bosch Bayard and N Bourke and V D Calhoun and M M Chakravarty and C. Chen and C Chertavian and G. Chetelat and Y. S. Chong and Cole J H and A. Corvin and M Costantino and E. Courchesne and F. Crivello and V L Cropley and J. Crosbie and N. Crossley and M. Delarue and R. Delorme and S Desrivieres and G A Devenyi and M A Di Biase and R. Dolan and K A Donald and G. Donohoe and K Dunlop and A. D. Edwards and others},
title = {Brain charts for the human lifespan},
journal = {Nature},
year = {2022},
volume = {604},
publisher = {Springer Nature},
month = {apr},
url = {https://doi.org/10.1038/s41586-022-04554-y},
number = {7906},
pages = {525--533},
doi = {10.1038/s41586-022-04554-y}
}
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MLA Copy
Bethlehem, R. A. I., et al. “Brain charts for the human lifespan.” Nature, vol. 604, no. 7906, Apr. 2022, pp. 525-533. https://doi.org/10.1038/s41586-022-04554-y.