Willem de Haan

This paper personalizes tDCS intervention strategies for Alzheimer's disease using individual connectomes and MEG data, showing different optimal stimulation targets compared to a general model.

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 uses a virtual brain network model to optimize tDCS electrode placements in Alzheimer's disease, finding that right parietal anodal stimulation with contralateral supraorbital cathode improves functional network features.

This paper models the spread of amyloid-β and tau in the human brain to explain Alzheimer's disease-related neuronal hyperactivation, frequency slowing, and hypoactivation.