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
|
20
24
Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
|
29
33
Care Research and Technology Centre, Dementia Research Institute, London, UK
|
34
37
38
52
Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
|
53
Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
|
58
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
|
73
74
Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
|
75
76
Anna Freud National Centre for Children and Families, London, UK
|
77
Cuban Center for Neuroscience, La Habana, Cuba
|
79
82
84
86
Mouse Imaging Centre, Toronto, Canada
|
87
90
91
93
Université de paris, Paris, France
|
103
National Institute of Developmental Psychiatry, Beijing, China
|
107
114
119
121
Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
|
126
133
Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, the Netherlands
|
134
143
146
150
National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
|
158
Cuban Neuroscience Center, Havana, Cuba
|
166
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
|
183
190
195
201
National Basic Science Data Center, Beijing, China
|
212
213
Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
|
Publication type: Journal Article
Publication date: 2022-04-06
scimago Q1
wos Q1
SJR: 18.288
CiteScore: 78.1
Impact factor: 48.5
ISSN: 00280836, 14764687
PubMed ID:
35388223
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.
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@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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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.
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