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EEG-based model and antidepressant response
Stockholm University, Faculty of Social Sciences, Department of Psychology, Stress Research Institute. Karolinska Institutet, Sweden.
2021 (English)In: Nature Biotechnology, ISSN 1087-0156, E-ISSN 1546-1696, Vol. 39, article id 27Article in journal (Refereed) Published
Abstract [en]

In a recent article, Wu et al.1 presented an electroencephalogram (EEG)-based prediction model for antidepressant treatment response1. Here, we point to limitations in the methods used to define response and to validate the prediction model—specifically, that change from baseline Hamilton depression rating scale (HAMD) scores needs to take into account the nonlinearity of response, and that the validation analysis transposed the predictor and the outcome.

1. ARISING FROM W. Wu et al. Nature Biotechnology. https://doi.org/10.1038/s41587-019-0397-3 (2020)

Place, publisher, year, edition, pages
2021. Vol. 39, article id 27
Keywords [en]
depression, predictive markers, EEG
National Category
Psychology
Research subject
Psychology
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URN: urn:nbn:se:su:diva-188835DOI: 10.1038/s41587-020-00768-5OAI: oai:DiVA.org:su-188835DiVA, id: diva2:1517218
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2022-02-25Bibliographically approved

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Nilsonne, Gustav

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