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Brain charts for the human lifespan.

R A I Bethlehem1,2, J Seidlitz3,4,5, S R White6,7

  • 1Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK. rb643@medschl.cam.ac.uk.

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Brain charts provide reference standards for brain morphology using MRI data from over 100,000 individuals. These charts enable quantification of brain development and individual differences across the lifespan.

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Area of Science:

  • Neuroimaging
  • Developmental Neuroscience
  • Biostatistics

Background:

  • Neuroimaging is widely used in brain research, but lacks standardized reference charts for individual brain metrics over time.
  • Existing anthropometric growth charts provide benchmarks for physical development, highlighting a need for similar tools in neuroscience.

Purpose of the Study:

  • To create an interactive, open-access resource (brainchart.io) for benchmarking brain morphology from MRI data.
  • To establish reference standards for brain structure quantification across the human lifespan.

Main Methods:

  • Aggregated 123,984 MRI scans from 101,457 participants (fetal to 100 years old) across over 100 studies.
  • Quantified MRI metrics using centile scores relative to lifespan trajectories of brain structural changes.
  • Assessed stability, robustness to technical variations, and heritability of centile scores.

Main Results:

  • Identified novel neurodevelopmental milestones and demonstrated high individual stability in brain structure over time.
  • Brain charts showed robustness to inter-study methodological differences.
  • Centile scores revealed increased heritability and provided a standardized measure for neuroanatomical variation in disorders.

Conclusions:

  • Brain charts offer a crucial tool for robustly quantifying individual variation in neuroimaging phenotypes against normative trajectories.
  • This resource facilitates standardized comparison of brain structure across development and in clinical populations.