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NEUROTECHNOLOGY

Predicting antidepressant response by electroencephalography

Nature Biotechnology volume 38, pages 417–419 (2020)Cite this article

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Patients who respond to an antidepressant are identified by retrospective analysis of their brain waves.

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Fig. 1: Effect of spatial filters on EEG alpha activity.

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Acknowledgements

We thank M. Seeber for the code used to analyze the data presented in Fig. 1 and L. Brechet for comments on the text.

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Authors and Affiliations

  1. Functional Brain Mapping Laboratory, Department of Fundamental Neurosciences, University of Geneva, Geneva, Switzerland

    Christoph M. Michel

  2. Centre for Biomedical Imaging (CIBM) Lausanne-Geneva, Geneva, Switzerland

    Christoph M. Michel

  3. Marcus Institute for Aging Research, Hebrew Senior Life, and Department of Neurology, Harvard Medical School, Boston, MA, USA

    Alvaro Pascual-Leone

  4. Guttmann Brain Health Institute, Institut Guttmann, Universitat Autonoma, Barcelona, Spain

    Alvaro Pascual-Leone

Authors
  1. Christoph M. Michel
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  2. Alvaro Pascual-Leone
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Correspondence to Christoph M. Michel.

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The authors declare no competing interests.

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Michel, C.M., Pascual-Leone, A. Predicting antidepressant response by electroencephalography. Nat Biotechnol 38, 417–419 (2020). https://doi.org/10.1038/s41587-020-0476-5

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