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Author

J. Spanagel

2 papers indexed here

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Open access Oct 2026

Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder.

Importance Early identification of patients at high risk of relapse is key to personalized preventive strategies in major depressive disorder (MDD). However, current predictive models do not adequately account for the multimodal factors contributing to MDD relapse and fail to provide clinically meaningful predictions....

L. Teutenberg, N. Winter, P. Usemann et al. · 0 citations
Open access Aug 2026

The timeline of brain aging in major depression: A prospective study from before first-onset to established illness

Major depressive disorder (MDD) has been associated with accelerated structural brain aging, yet whether this reflects a pre-existing neurobiological vulnerability, a dynamic acute state effect, or an accumulating biological residual remains unresolved. Across two longitudinal cohorts (N=3220), including a unique sampl...

M. Konowski, A. Kraus, J. Goltermann et al. · 0 citations

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