A critical reappraisal of predicting suicidal ideation using fMRI

• URL: http://arxiv.org/abs/2103.06114v1
• Date: Wed, 10 Mar 2021 15:08:57 GMT
• Title: A critical reappraisal of predicting suicidal ideation using fMRI
• Authors: Timothy Verstynen, Konrad Kording
• Abstract summary: We report a reappraisal of the methods employed by the authors, including re-analysis of the same data set, that calls into question the accuracy of the authors findings.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: For many psychiatric disorders, neuroimaging offers a potential for revolutionizing diagnosis and treatment by providing access to preverbal mental processes. In their study "Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth."1, Just and colleagues report that a Naive Bayes classifier, trained on voxelwise fMRI responses in human participants during the presentation of words and concepts related to mortality, can predict whether an individual had reported having suicidal ideations with a classification accuracy of 91%. Here we report a reappraisal of the methods employed by the authors, including re-analysis of the same data set, that calls into question the accuracy of the authors findings.

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