SUITPy

Contributers: Elaine Liu, Jorn Diedrichsen, Da Zhi
My Role: Full Stack Developer
Github: https://github.com/eliu72/SUITPy

As part of the SUIT toolbox, we have developed a flat representation of the human cerebellum that can be used to visualise imaging data after volume-based normalisation and averaging across subjects. The method uses an approximate outer (grey-matter) and inner (white-matter) surface defined on the SUIT template (see figure below). Functional data between these two surfaces is projected to the surface along the lines connecting corresponding vertices. By applying cuts (thick black lines) the surface could be flattened out. We aimed to retain a roughly proportional relationship between the surface area of the 2D-representation and the volume of the underlying cerebellar grey matter. The map allows users to visualise the activation state of the complete cerebellar grey matter in one concise view, equally revealing both the anterior-posterior (lobular) and medial-lateral organisation. To explore the flatmap in more detail, check out our online cerebellar atlas viewer.