EEG-based model and antidepressant response
Fig. 1: Classification ability for antidepressant responder status.


  1. 1.

    Wu, W. et al. An electroencephalographic signature predicts antidepressant response in major depression. Nat. Biotechnol. (2020).

  2. 2.

    Harrell, F. E. Jr & Slaughter, J. C. Biostatistics for biomedical research. (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).


    Google Scholar

  4. 4.

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

Download references


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


  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


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

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Correspondence to
Gustav Nilsonne.

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Nilsonne, G., Harrell, F.E. EEG-based model and antidepressant response.
Nat Biotechnol (2020).

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