Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:


Efficiently pruning brain connectomes

Characterizing the brain’s connectome at multiple scales is essential for unraveling fundamental principles of cortical information processing and how it impacts behavior. A GPU-based implementation for connectome pruning is proposed, achieving greater than 100-fold speedups over previous CPU-based implementations.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: ReAl-LiFE prunes and evaluates human connectomes on GPUs.


  1. Bassett, D. S. & Sporns, O. Nat. Neurosci. 20, 353–364 (2017).

    Article  Google Scholar 

  2. Milham, M. P. Neuron 73, 214–218 (2012).

    Article  Google Scholar 

  3. Pestilli, F., Yeatman, J. D., Rokem, A., Kay, K. N. & Wandell, B. A. Nat. Methods 11, 1058–1063 (2014).

    Article  Google Scholar 

  4. Sreenivasan, V., Kumar, S., Pestilli, F., Talukdar, P. & Sridharan, D. Nat. Comput. Sci. (2022).

    Article  Google Scholar 

  5. Marek, S. et al. Nature 603, 654–660 (2022).

    Article  Google Scholar 

  6. Zuo, X. N., Xu, T. & Milham, M. P. Nat. Hum. Behav. 3, 768–771 (2019).

    Article  Google Scholar 

  7. Milham, M. P., Vogelstein, J. & Xu, T. JAMA Psychiatry 78, 587–588 (2021).

    Article  Google Scholar 

  8. Liu, S. et al. Dev. Cogn. Neurosci. 52, 101020 (2021).

    Article  Google Scholar 

  9. Bethlehem, R. A. I. et al. Nature 604, 525–533 (2022).

    Article  Google Scholar 

  10. Turk-Browne, N. B. Science 342, 580–584 (2013).

    Article  Google Scholar 

  11. Chamberland, M. et al. Nat. Comput. Sci. 1, 598–606 (2021).

    Article  Google Scholar 

  12. Amunts, K. & Lippert, T. Science 374, 1054–1055 (2021).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Xi-Nian Zuo.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zuo, XN. Efficiently pruning brain connectomes. Nat Comput Sci 2, 288–289 (2022).

Download citation

  • Published:

  • Issue Date:

  • DOI:


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing