John G. Samuelsson

This paper quantifies cerebellar signal detectability in MEG and EEG for epilepsy using anatomically informed source modeling, finding that depth and geometry, not proximity, primarily affect signal-to-noise ratio.

The paper creates a high-resolution digital anatomical atlas of the human cerebellum at the level of individual folia, enabling detailed analysis and visualization of cerebellar data.

This paper develops a method to reconstruct the cerebellar cortex from standard MRI using diffeomorphic registration of a high-resolution template, enabling accurate topographic reconstructions for neuroimaging applications.