Brain charts for the human lifespan

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dc.catalogadordfo
dc.contributor.authorR. A. I. Bethlehem
dc.contributor.authorJ. Seidlitz
dc.contributor.authorS. R. White
dc.contributor.authorJ. W. Vogel
dc.contributor.authorK. M. Anderson
dc.contributor.authorC. Adamson
dc.contributor.authorS. Adler
dc.contributor.authorG. S. Alexopoulos
dc.contributor.authorE. Anagnostou
dc.contributor.authorA. Areces-Gonzalez
dc.contributor.authorD. E. Astle
dc.contributor.authorB. Auyeung
dc.contributor.authorM. Ayub
dc.contributor.authorJ. Bae
dc.contributor.authorG. Ball
dc.contributor.authorS. Baron-Cohen
dc.contributor.authorR. Beare
dc.contributor.authorS. A. Bedford
dc.contributor.authorV. Benegal
dc.contributor.authorCrossley Karmelic, Nicolas Andrés
dc.date.accessioned2024-06-05T19:55:09Z
dc.date.available2024-06-05T19:55:09Z
dc.date.issued2022
dc.description.abstractOver 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.
dc.fechaingreso.objetodigital05-06-2024
dc.fuente.origenORCID
dc.identifier.doi10.1038/s41586-022-04554-y
dc.identifier.eissn1476-4687
dc.identifier.issn0028-0836
dc.identifier.urihttps://www.nature.com/articles/s41586-022-04554-y
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86474
dc.information.autorucEscuela de Medicina; Crossley Karmelic, Nicolas Andres; 0000-0002-3060-656X; 11224
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final533
dc.pagina.inicio525
dc.publisherSpringer
dc.revistaNature
dc.rightsacceso abierto
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleBrain charts for the human lifespan
dc.typeartículo
dc.volumen604
sipa.codpersvinculados11224
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