Brain charts for the human lifespan.
Brain charts for the human lifespan.
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DOI：
10.1038/s41586-022-04554-y
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发表时间：
2022-04
期刊：
影响因子：
64.8
通讯作者：
中科院分区：
文献类型：
--
作者：
在过去的几十年里，神经影像学已成为人类大脑基础研究和临床研究中无处不在的工具。然而，与身高和体重等人体测量特征的生长图表相比，目前还没有参考标准来量化神经影像指标随时间的个体差异。在这里，我们汇集了一个互动的开放资源，以基准脑形态来自任何当前或未来的MRI数据样本（http：//www.brainchart.io/）。为了使这些参考图表基于现有的最大和最具包容性的数据集，承认MRI研究相对于全球人口多样性的已知偏倚的局限性，我们在100多项主要研究中汇总了123，984次MRI扫描，来自101，457名人类参与者，从受孕后115天到100岁。MRI指标通过百分位数评分进行量化，相对于脑结构变化的非线性轨迹，以及整个生命周期的变化率。脑图识别了以前未报告的神经发育里程碑，显示了纵向评估中个体的高度稳定性，并证明了主要研究之间技术和方法学差异的稳健性。与非百分位MRI表型相比，百分位评分显示遗传性增加，并提供了非典型脑结构的标准化测量，揭示了神经系统和精神疾病的神经解剖变异模式。总之，脑图是一个重要的一步，对个人的变化进行稳健的量化基准，以规范的轨迹，在多种常用的神经影像表型。来自100多项研究的MRI数据已被汇总，以产生有关大脑发育和衰老的新见解，并创建一个交互式开放资源，用于比较人类整个生命周期的大脑结构，包括与神经系统和精神疾病相关的大脑结构。
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 weight. 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 trajectories of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones, 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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影响因子：
2.8
作者：
Brewer JB
通讯作者：
Brewer JB
影响因子：
64.8
作者：
Elliott LT;Sharp K;Alfaro-Almagro F;Shi S;Miller KL;Douaud G;Marchini J;Smith SM
通讯作者：
Smith SM
影响因子：
64.8
作者：
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者：
Marchini J
影响因子：
29
作者：
Holland D;Chang L;Ernst TM;Curran M;Buchthal SD;Alicata D;Skranes J;Johansen H;Hernandez A;Yamakawa R;Kuperman JM;Dale AM
通讯作者：
Dale AM
影响因子：
11
作者：
Di Martino, A.;Yan, C-G;Li, Q.;Denio, E.;Castellanos, F. X.;Alaerts, K.;Anderson, J. S.;Assaf, M.;Bookheimer, S. Y.;Dapretto, M.;Deen, B.;Delmonte, S.;Dinstein, I.;Ertl-Wagner, B.;Fair, D. A.;Gallagher, L.;Kennedy, D. P.;Keown, C. L.;Keysers, C.;Lainhart, J. E.;Lord, C.;Luna, B.;Menon, V.;Minshew, N. J.;Monk, C. S.;Mueller, S.;Mueller, R. A.;Nebel, M. B.;Nigg, J. T.;O'Hearn, K.;Pelphrey, K. A.;Peltier, S. J.;Rudie, J. D.;Sunaert, S.;Thioux, M.;Tyszka, J. M.;Uddin, L. Q.;Verhoeven, J. S.;Wenderoth, N.;Wiggins, J. L.;Mostofsky, S. H.;Milham, M. P.
通讯作者：
Milham, M. P.