Skip to main content

Thank you for visiting nature.com. 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.

  • Matters Arising
  • Published:

EEG-based model and antidepressant response

Matters Arising to this article was published on 14 December 2020

The Original Article was published on 10 February 2020

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

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

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

Fig. 1: Classification ability for antidepressant responder status.

Data availability

Data are available at https://doi.org/10.5281/zenodo.4187845.

Code availability

Code is available at https://doi.org/10.5281/zenodo.4187845.

References

  1. Wu, W. et al. An electroencephalographic signature predicts antidepressant response in major depression. Nat. Biotechnol. https://doi.org/10.1038/s41587-019-0397-3 (2020).

  2. Harrell, F. E. Jr & Slaughter, J. C. Biostatistics for biomedical research. http://hbiostat.org/doc/bbr.pdf (2020).

  3. Robin, X. et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform. 12, 77 (2011).

    Article  Google Scholar 

  4. R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2015).

Download references

Acknowledgements

The work of F.E.H. was supported by CTSA award no. UL1 TR002243 from the National Center for Advancing Translational Sciences. Its contents are solely the responsibility of the authors and do not necessarily represent official views of the National Center for Advancing Translational Sciences or the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization and investigation: G.N., F.E.H. Visualization and writing—original draft: G.N. Writing—review and editing: G.N., F.E.H.

Corresponding author

Correspondence to Gustav Nilsonne.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nilsonne, G., Harrell, F.E. EEG-based model and antidepressant response. Nat Biotechnol 39, 27 (2021). https://doi.org/10.1038/s41587-020-00768-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41587-020-00768-5

This article is cited by

Search

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