David N. Vaughan

The paper uses multilayer network modelling to analyze fMRI data and shows that reading ability correlates with specific dynamic interactions within the reading network, particularly involving the left fusiform gyrus and inferior frontal gyrus.

This paper introduces a framework for longitudinal quantitative streamline tractography that reduces spurious changes in white matter connectivity estimates by fixing trajectories and varying density weights between sessions.

This study investigates postoperative atrophy in non-resected brain regions following resective neurosurgery, linking it to transneuronal degeneration and showing that structural network reorganisations may be artifacts of image processing.

Robust-tedana improves automated denoising of multi-echo fMRI data, enhancing both single-subject and group-level analysis accuracy.

This paper identifies and corrects common methodological issues in psychophysiological interaction analysis that compromise model validity.