Linda Douw

The paper develops an experimental framework to study glioma-brain interactions in human organotypic cortex slices, showing that cellular architecture can be linked to clinical outcomes.

The paper uses a whole-brain model to show glioma patients have altered neuronal dynamics compared to healthy controls, with changes in interregional coupling and excitability.

This paper develops a multivariate signal processing pipeline to build high-order brain networks from fMRI data and identifies high-order hubs associated with distinct brain systems.

This study shows that multimodal multilayer network centrality in the frontoparietal network is positively associated with executive functioning, outperforming unilayer centrality.

The paper simulates individual functional connectivity using individual structural connectivity data and neural mass modeling, finding that individual simulations better match empirical data than group-averaged simulations.

This tutorial provides computational tools for analyzing neuroimaging data using network and topological neuroscience frameworks, with a focus on resting-state functional MRI data from the 1000 Functional Connectomes Project.

The paper links functional network integration in the default mode network to cellular properties in TLE patients, showing correlations between network centrality and memory performance.

The paper investigates how baseline functional network properties of the dorsolateral prefrontal cortex predict resilience to inhibitory rTMS, finding that globally integrated regions show greater resilience.

This study identifies topological phase transitions in functional brain networks using TDA, showing they occur when Euler entropy has a singularity and correlate with multidimensional topological holes.