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Diverse and large-scale brain data in child development research

Nature Human Behaviour volume 9, pages 1070–1072 (2025)Cite this article

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Postnatal brain development is important for individual and societal outcomes. We need large-scale cohort studies from diverse populations to generate generalizable insights into the factors that affect children’s brain development. Here we discuss the contribution of the Chinese Child Brain Development project.

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References

  1. Li, F. et al. J. Child Psychol. Psychiatry 63, 34–46 (2022).

    Article  PubMed  Google Scholar 

  2. Hanushek, E. A. & Woessmann, L. J. Econ. Lit. 46, 607–668 (2008).

    Article  Google Scholar 

  3. Martin, A. R. et al. Nat. Genet. 51, 584–591 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Brady, L. M., Fryberg, S. A. & Shoda, Y. Proc. Natl Acad. Sci. USA 115, 11406–11413 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Poldrack, R. A. et al. Nat. Rev. Neurosci. 18, 115–126 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Smith, S. M. & Nichols, T. E. Neuron 97, 263–268 (2018).

    Article  CAS  PubMed  Google Scholar 

  7. He, Y. & Martin, A. R. Nat. Hum. Behav. 8, 197–200 (2024).

    Article  PubMed  Google Scholar 

  8. Ge, J. et al. Nat. Neurosci. 26, 163–172 (2023).

    Article  CAS  PubMed  Google Scholar 

  9. Huang, S. et al. Nature 626, 565–573 (2024).

    Article  CAS  PubMed  Google Scholar 

  10. Fischbach, G. D. & Lord, C. Neuron 68, 192–195 (2010).

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The corresponding author is supported by the STI 2030 - Major Projects (2021ZD0200500) and the National Natural Science Foundation of China (32330039 and 32441110)

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Authors and Affiliations

  1. State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China

    Liang Zhang & Gui Xue

  2. Chinese Institute for Brain Research, Beijing, China

    Gui Xue

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  1. Liang Zhang
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  2. Gui Xue
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Correspondence to Gui Xue.

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The authors declare no competing interests.

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Zhang, L., Xue, G. Diverse and large-scale brain data in child development research. Nat Hum Behav 9, 1070–1072 (2025). https://doi.org/10.1038/s41562-025-02186-6

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