A parcellation scheme of mouse isocortex based on reversals in connectivity gradients.

ABSTRACT: The brain is composed of several anatomically clearly separated structures. This parcellation is often extended into the isocortex, based on anatomical, physiological, or functional differences. Here, we derive a parcellation scheme based purely on the spatial structure of long-range synaptic connections within the cortex. To that end, we analyzed a publicly available dataset of average mouse brain connectivity, and split the isocortex into disjunct regions. Instead of clustering connectivity based on modularity, our scheme is inspired by methods that split sensory cortices into subregions where gradients of neuronal response properties, such as the location of the receptive field, reverse. We calculated comparable gradients from voxelized brain connectivity data and automatically detected

SUBMITTER: Guyonnet-Hencke T 

PROVIDER: S-EPMC10473268 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature