Chris Vriend

This study analyzes fMRI data from OCD patients and controls to identify age-specific differences in brain activation during inhibitory control and error processing.

This paper evaluates automated white matter lesion segmentation methods in Parkinson's disease and healthy controls, finding U-Net-pgs to be the most accurate and reliable approach across multiple metrics and datasets.

This paper introduces a Hodge-Laplacian framework to analyze higher-order topology in OCD brain networks, identifying loop-level abnormalities not detectable by conventional functional connectivity analysis.

The paper discusses challenges in federated analysis for multisite neuroinformatics studies and presents solutions from recent projects.

This study analyzes fMRI data from OCD patients and controls to identify neural activation patterns during executive control tasks, finding reduced activation in frontoparietal regions and increased default mode network activity in OCD.

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

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 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 examines the relationship between resting-state brain network topology and performance on a planning task, finding that higher global efficiency is linked to slower task performance.

This study finds that medicated Parkinson’s disease patients show reduced functional connectivity in brain regions involved in response inhibition during a stop-signal task, but no differences in functional activity.