During a sabbatical at Harvard Medical School in Boston, CIBM EEG HUG-UNIGE Section Head, Christoph M. Michel and Alvaro Pascual-Leone, both leading experts in neurotechnology were invited to give their views on the paper by Wu, W., Zhang, Y., Jiang, J. et al. An electroencephalographic signature predicts antidepressant response in major depression. Nat Biotechnol (2020). https://doi.org/10.1038/s41587-019-0397-3.
Appearing in the News & Views of Nature Biotechnology, the short article describes the importance of taking into account the spatial characteristics of EEG oscillations in order to derive sensitive EEG signatures that allowed the authors to identify individuals who respond to a specific antidepressant treatment and those who rather respond to alternative treatments such as transcranial magnetic stimulation.
To know more, download the Nature article here (PDF))
Michel, C.M., Pascual-Leone, A. Predicting antidepressant response by electroencephalography. Nature Biotechnology, 2020. https://doi.org/10.1038/s41587-020-0476-5