Jenna Reinen

This paper shows that age information is essential for Alzheimer's Disease detection using brain MRI, outperforming age-invariant methods and revealing flaws in brain-age gap as a biomarker.

The paper uses multimodal machine learning to predict psychosis conversion and finds that integrating multiple data types improves prediction accuracy.

The paper identifies neural mediators and brain regions associated with behavioral symptoms and psychosis onset using high-dimensional functional mediation analysis in clinical high-risk individuals.

This paper validates the use of virtual reality for EEG research by comparing ERP responses in VR and traditional setups, finding comparable results and demonstrating a depth-based oddball task's effectiveness.