Abstract
Brain-age estimation has gained increased attention in the neuroscientific community owing to its potential use as a biomarker of brain health. The difference between estimated and chronological age based on neuroimaging data enables a unique perspective on brain development and aging, with multiple open questions still remaining in the brain-age research field. This Perspective presents an overview of current advancements in the field and envisions the future evolution of the brain-age framework before its potential deployment in hospital settings.
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30 July 2024
A Correction to this paper has been published: https://doi.org/10.1038/s43588-024-00681-w
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Acknowledgements
We gratefully acknowledge R. Dahnke for providing insightful comments on the paper and helping with the visualization. C.G. and P.K. were supported by Carl Zeiss Stiftung as a part of the IMPULS project (IMPULS P2019-01-006), the Federal Ministry of Science and Education (BMBF) under the frame of ERA PerMed (Pattern-Cog ERAPERMED2021-127) and the Marie Skłodowska-Curie Innovative Training Network (SmartAge 859890 H2020-MSCA-ITN2019).
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Gaser, C., Kalc, P. & Cole, J.H. A perspective on brain-age estimation and its clinical promise. Nat Comput Sci 4, 744–751 (2024). https://doi.org/10.1038/s43588-024-00659-8
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DOI: https://doi.org/10.1038/s43588-024-00659-8
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