John Ashburner

The paper uses deformable cortical surfaces to evaluate MEG source reconstruction algorithms and fit metrics.

The paper introduces a data-driven method to restore statistical validity in MRI group analyses by assigning image weights based on quality indices, improving performance across brain regions despite motion effects.

This paper quantifies individual anatomical variability of the connectivity-defined ventralis intermedius nucleus (cd-Vim) using probabilistic tractography and finds it is more variable on the right and not influenced by methodological confounds.

This paper introduces a symmetric prior for regularizing nonlinear image registration, improving anatomical plausibility while maintaining or exceeding registration quality.