EEG-based model and antidepressant response

Nature Biotechnology volume 39, page27(2021)Cite this article

Subjects

Matters Arising to this article was published on 14 December 2020

The Original Article was published on 10 February 2020

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.

from$8.99

Rent or Buy

All prices are NET prices.

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. 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. 2.

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

  3. 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. 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

Affiliations

  1. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden

    Gustav Nilsonne

  2. Department of Psychology, Stockholm University, Stockholm, Sweden

    Gustav Nilsonne

  3. Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA

    Frank E. Harrell Jr

Authors
  1. Gustav Nilsonne
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Frank E. Harrell Jr
    View author publications

    You can also search for this author in PubMed Google Scholar

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

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

Further reading

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