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. 2023 May 24;13:8418. doi: 10.1038/s41598-023-35179-4

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Relative power in the delta band at baseline predicts improvement in depressive symptoms. (A) The plot depicts the ROC curve across all possible threshold values of the predictor for average power relative value within the cluster found in the delta band at the sensor space (B) The plot depicts the ROC curve across all possible threshold values of the predictor for average power relative value in the delta band across regions found significant at the source space. (A,B) In both plots, x-axes represent false-positive rates (1-specificity), y-axes the true positive values (sensitivity). Here, specificity corresponds to percentage of non-responders who were predicted to be non-responders, and sensitivity corresponds to percentage of responders who were predicted to be responders. The red circle shows the optimum operating point of the ROC curve.