Falk Lüsebrink

This paper introduces an automated method to quantify white matter hyperintensity confluence, showing it correlates with cognitive performance and dementia subtypes beyond volume.

The paper examines how disrupted forward connectivity in the parieto-temporal network relates to memory impairment and AD pathology using fMRI and DCM in a longitudinal study.

This study examines how episodic memory network dysfunction relates to AD biomarkers, neurodegeneration, and cognition using longitudinal fMRI data from the DZNE study.

The paper estimates 2D spatio-tactile population receptive fields in human BA3b using fMRI and finds that the ulnar-to-radial fingertip axis maps to a superior-to-inferior axis in BA3b.

This paper introduces ELSI-Net, a deep learning method for automated Locus Coeruleus segmentation and feature extraction in aging and Alzheimer's Disease dementia, showing high agreement with manual ratings and correlations to CSF biomarkers.

This paper introduces SMAS, a Bayesian VAE-based AD score from structural MRI data, showing strong correlations with cognitive decline and brain atrophy markers, and outperforming existing measures in predicting AD.

The paper identifies diagnostic images that correlate with Alzheimer's biomarkers and show differential neural processing in MCI patients compared to healthy controls.

This paper proposes spatial transformation and quality assessment methods for reliably imaging the small noradrenergic locus coeruleus using structural and functional MRI.

The paper shows that perceived and mentally rotated visual contents are represented in different cortical depth regions of V1, suggesting functional segregation through anatomical compartmentalization.