Rik Ossenkoppele

This study examines how early-life handling and sex influence cognitive resilience and pathology in APP/PS1 mice over time, finding improved memory and reduced pathology in handled mice and better cognition in females despite greater pathology.

The paper shows aging and Alzheimer's disease alter distinct functional connectivity axes in the brain, with AD affecting the sensory-association axis and aging affecting the representation-executive axis.

The paper introduces a dynamical ATN model to simulate and predict the spatiotemporal progression of Aβ, tau, and neurodegeneration in Alzheimer's disease using multimodal imaging data.

The paper shows that individual functional brain connectivity improves the explanation of tau PET patterns in Alzheimer's disease compared to group-level data.

The paper investigates whether hemispheric asymmetry in tau pathology in Alzheimer's disease is linked to reduced inter-hemispheric connectivity or asymmetric amyloid-beta distribution, finding a strong association with amyloid-beta laterality.

This study investigates how brain network dynamics and regional vulnerability influence tau propagation and load in Alzheimer's disease using multi-scale simulations.

This paper introduces a laterality index to quantify hemispheric asymmetry in cortical maps using geometric eigenmodes, validated on fMRI and tau-PET data from Alzheimer's disease patients.

This study examines whether TREM2 risk variants in Alzheimer's disease patients lead to distinct clinical phenotypes, finding no baseline differences but faster cognitive decline in carriers.

The paper examines the independent associations of PET, CSF, and plasma tau biomarkers with Alzheimer's disease markers, finding that CSF and plasma p-tau181/p-tau217 are more linked to early AD markers, while tau-PET is strongly associated with cognitive and neurodegenerative progression.

The paper identifies cognitive subgroups in Alzheimer's disease based on MRI-derived atrophy patterns and links them to specific biological pathways using transcriptomic data.

The paper identifies four latent atrophy factors in posterior cortical atrophy using Bayesian modeling, finding that most patients exhibit mixed profiles rather than distinct variants.

The paper identifies a task-invariant cognitive reserve network by analyzing functional connectivity changes during cognitive tasks and their correlation with IQ.

The paper finds that patient features differentially predict amyloid-β status based on PET or CSF, with variations by disease stage, suggesting PET and CSF discordance provides unique information.

This study uses data-driven clustering to identify spatial patterns of tau-PET distribution in Alzheimer’s disease and compares them to pathology-driven ROIs, finding two clusters with strong cognitive associations.