Cognitive aging is shaped by genetic variation, environmental factors, and health-related conditions. Until now, it is largely unclear why some individuals maintain their cognitive function, and others show progressive cognitive decline. This study uncovered determinants of distinct cognitive aging trajectories in the...
L. Federmann, Christian Mychajliw, U. Suenkel et al.· GeroScience· 0 citations
Speech-based Alzheimer's disease (AD) assessments increasingly rely on pretrained self-supervised learning (SSL) models that learn acoustic representations directly from raw audio, exposing the model to recording factors. We ask whether such factors are merely encoded in SSL representations or can systematically alter...
Serli Kopar, Alkis Koudounas, R. Rane et al.· 0 citations
The findings suggest that robust, individualized brain-based predictions for mental health outcomes remain challenging with the available data and sample size.
Marija Tochadse, Julia Klawohn, Christian Kaufmann et al.· Scientific Reports· 0 citations
This work introduces an estimation procedure that refits the final layer of a pre-trained network to include covariate effects, and shows how these effects can be orthogonalised with respect to covariates to exclude their mediated effects and that model predictions can be marginalised over the covariate distribution to...
Manuel Pfeuffer, R. Rane, Kerstin Ritter et al.· 0 citations
A layer-wise analysis of nine SSL speech backbones using a low-capacity logistic regression probe reveals that the transferred discriminative signal lacks pathological specificity, highlighting critical limitations that must be addressed before speech-based pathology recognition models can be reliably deployed in clini...
Serli Kopar, Sam Gijsen, Abner Hernandez et al.· 0 citations
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