Joelle Zimmermann

The paper analyzes dynamic functional connectivity (dFC) in fMRI data from healthy elderly, finding that dFC slows down and becomes less complex with aging, correlating with cognitive performance.

The paper demonstrates that each individual's brain has a converging optimal working point in The Virtual Brain model that predicts fMRI and EEG features, with inter-individual differences driven by structural connectivity.

The paper investigates how structural and functional brain connectivity relate to cognition, finding distinct patterns in each modality that uniquely contribute to cognitive functions.

The paper examines the subject-specificity of the correlation between structural and functional connectivity across six human neuroimaging datasets, finding limited subject-specificity except for one dataset.

This study uses personalized Virtual Brain models to show that local and global brain dynamics correlate with cognitive differences in Alzheimer’s disease and related conditions.