Population imaging cerebellar growth for personalized neuroscience
Author:
Funder
STI 2030 - the major projects of the Brain Science and Brain-Inspired Intelligence Technology
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41467-024-46545-9.pdf
Reference15 articles.
1. Gaiser, C. et al. Population-wide cerebellar growth models of children and adolescents. Nat. Commun. (2024).
2. Kooijman, M. N. et al. The Generation R study: design and cohort update 2017. Eur. J. Epidemiol. 31, 1243–1264 (2016).
3. Rutherford, S. et al. The normative modeling framework for computational psychiatry. Nat. Protoc. 17, 1711–1734 (2022).
4. Bethlehem, R. A. et al. Brain charts for the human lifespan. Nature 604, 525–533 (2022).
5. Rutherford, S. et al. Charting brain growth and aging at high spatial precision. eLife 11, e72904 (2022).
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