Brain charts for the human lifespan
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Authors
Seidlitz, J
Vogel, JW
Anderson, KM
Adamson, C
Adler, S
Alexopoulos, GS
Anagnostou, E
Areces-Gonzalez, A
Auyeung, B
Ayub, M
Ball, G
Beare, R
Bedford, SA
Benegal, V
Beyer, F
Bin Bae, J
Blangero, J
Blesa Cábez, M
Boardman, JP
Borzage, M
Bosch-Bayard, JF
Bourke, N
Calhoun, VD
Chakravarty, MM
Chen, C
Chertavian, C
Chetelat, G
Chong, YS
Cole, JH
Corvin, A
Courchesne, E
Crivello, F
Cropley, VL
Crosbie, J
Crossley, N
Delarue, M
Desrivieres, S
Devenyi, G
Di Biase, MA
Dolan, R
Donald, KA
Donohoe, G
Dunlop, K
Edwards, AD
Elison, JT
Ellis, CT
Elman, JA
Eyler, L
Fair, DA
Fletcher, PC
Fonagy, P
Franz, CE
Galan-Garcia, L
Gholipour, A
Giedd, J
Gilmore, JH
Glahn, DC
Goodyer, I
Grant, PE
Groenewold, NA
Gunning, FM
Gur, RE
Gur, RC
Hammill, CF
Hansson, O
Hedden, T
Heinz, A
Heuer, K
Hoare, J
Holla, B
Holmes, AJ
Holt, R
Huang, H
Im, K
Ipser, J
Jack, CR
Jackowski, AP
Jia, T
Johnson, KA
Jones, PB
Jones, DT
Kahn, R
Karlsson, H
Karlsson, L
Kawashima, R
Kelley, EA
Kern, S
Kim, K
Kremen, WS
Lalonde, F
Landeau, B
Lee, S
Lerch, J
Lewis, JD
Li, J
Liao, W
Linares, DP
Liston, C
Lombardo, MV
Lv, J
Lynch, C
Mallard, TT
Marcelis, M
Markello, RD
Mazoyer, B
McGuire, P
Meaney, MJ
Mechelli, A
Medic, N
Misic, B
Morgan, SE
Mothersill, D
Nigg, J
Ong, MQW
Ortinau, C
Ossenkoppele, R
Ouyang, M
Palaniyappan, L
Paly, L
Pan, PM
Pantelis, C
Park, MM
Paus, T
Pausova, Z
Pichet Binette, A
Pierce, K
Qian, X
Qiu, J
Qiu, A
Raznahan, A
Rollins, CK
Romero-Garcia, R
Ronan, L
Rosenberg, MD
Salum, GA
Satterthwaite, TD
Schaare, HL
Schachar, RJ
Schultz, AP
Schumann, G
Schöll, M
Sharp, D
Shinohara, RT
Skoog, I
Smyser, CD
Sperling, RA
Stein, DJ
Stolicyn, A
Suckling, J
Sullivan, G
Taki, Y
Thyreau, B
Toro, R
Turk-Browne, NB
Tuulari, JJ
Tzourio, C
Vachon-Presseau, É
Valdes-Sosa, MJ
Valdes-Sosa, PA
Valk, SL
van Amelsvoort, T
Vandekar, SN
Vasung, L
Victoria, LW
Villeneuve, S
Villringer, A
Vértes, PE
Wagstyl, K
Wang, YS
Warfield, SK
Warrier, Varun
Westman, E
Whalley, HC
Witte, AV
Yang, N
Yeo, BTT
Yun, HJ
Zalesky, A
Zar, HJ
Zettergren, A
Zhou, JH
Zugman, A
Zuo, XN
Alexander-Bloch, AF
AIBL
Alzheimer’s Disease Neuroimaging Initiative
Alzheimer’s Disease Repository Without Borders Investigators
ASRB
CALM Team
Cam-CAN
CCNP, 3R-BRAIN
COBRE
ENIGMA Developmental Brain Age working group
FinnBrain
Harvard Aging Brain Study
IMAGEN, KNE96
NSPN
OASIS-3
OpenPain Project
POND
The PREVENT-AD Research Group, VETSA, Bullmore, E.T
Journal Title
Nature
ISSN
0028-0836
Publisher
Nature Research
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Bethlehem, R., Seidlitz, J., White, S., Vogel, J., Anderson, K., Adamson, C., Adler, S., et al. (). Brain charts for the human lifespan. Nature https://doi.org/10.1038/s41586-022-04554-y
Abstract
Over the past 25 years, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, there are no reference standards against which to anchor measures of individual differences in brain morphology, in contrast to growth charts for traits such as height and weight. Here, we built an interactive online resource ( www.brainchart.io ) to quantify individual differences in brain structure from any current or future magnetic resonance imaging (MRI) study, against models of expected age-related trends. With the goal of basing these on the largest and most inclusive dataset, we aggregated MRI data spanning 115 days post-conception through 100 postnatal years, totaling 122,123 scans from 100,071 individuals in over 100 studies across 6 continents. When quantified as centile scores relative to the reference models, individual differences show high validity with non-MRI brain growth estimates and high stability across longitudinal assessment. Centile scores helped identify previously unreported brain developmental milestones and demonstrated increased genetic heritability compared to non-centiled MRI phenotypes. Crucially for the study of brain disorders, centile scores provide a standardised and interpretable measure of deviation that reveals new patterns of neuroanatomical differences across neurological and psychiatric disorders emerging during development and ageing. In sum, brain charts for the human lifespan are an essential first step towards robust, standardised quantification of individual variation and for characterizing deviation from age-related trends. Our global collaborative study provides such an anchorpoint for basic neuroimaging research and will facilitate implementation of research-based standards in clinical studies.
Keywords
3R-BRAIN, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, UMN BCP, CALM Team, Cam-CAN, CCNP, COBRE, Developing Human Connectome Project, ENIGMA Developmental Brain Age working group, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, The Mayo Clinic Study of Aging, NSPN, POND, The PREVENT-AD Research Group, VETSA
Sponsorship
Medical Research Council (MC_UU_00005/8)
Medical Research Council (MC_UU_00005/2)
British Academy (PFO\170517)
Autism Research Trust (Unknown)
Identifiers
External DOI: https://doi.org/10.1038/s41586-022-04554-y
This record's URL: https://www.repository.cam.ac.uk/handle/1810/334173
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