Biological sex classification with structural MRI data shows increased misclassification in transgender women
Claas Flint, Katharina F\"orster, Sophie A. Koser, Carsten Konrad,, Pienie Zwitserlood, Klaus Berger, Marco Hermesdorf, Tilo Kircher, Igor, Nenadic, Axel Krug, Bernhard T. Baune, Katharina Dohm, Ronny Redlich, Nils, Opel, Volker Arolt, Tim Hahn, Xiaoyi Jiang, Udo Dannlowski

TL;DR
This study demonstrates that a brain-based classifier for biological sex shows reduced accuracy in transgender women, indicating unique brain structural features that differ from cisgender individuals and are affected by hormone treatment.
Contribution
It provides evidence that transgender women's brain structures differ from both their biological and perceived genders, highlighting specific structural alterations.
Findings
Classifier accuracy was lower in transgender women (56%) compared to cisgender individuals (~87%).
Brain structural differences in transgender women were observed in the putamen, insula, and whole-brain analyses.
Depression status did not significantly affect classifier performance.
Abstract
Transgender individuals (TIs) show brain structural alterations that differ from their biological sex as well as their perceived gender. To substantiate evidence that the brain structure of TIs differs from male and female, we use a combined multivariate and univariate approach. Gray matter segments resulting from voxel-based morphometry preprocessing of cisgender (CG) healthy participants were used to train () and validate (20 % hold-out; ) a support-vector machine classifying the biological sex. As a second validation, we classified patients with depression. A third validation was performed using the matched CG sample of the transgender women (TWs) application-sample. Subsequently, the classifier was applied to TWs. Finally, we compared brain volumes of CG-men, women and TW-pre/post treatment (cross-sex hormone treatment) in a univariate…
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