Topological Sholl descriptors for neuronal clustering and classification.

ABSTRACT: Neuronal morphology is a fundamental factor influencing information processing within neurons and networks. Dendritic morphology in particular can widely vary among cell classes, brain regions, and animal species. Thus, accurate quantitative descriptions allowing classification of large sets of neurons is essential for their structural and functional characterization. Current robust and unbiased computational methods that characterize groups of neurons are scarce. In this work, we introduce a novel technique to study dendritic morphology, complementing and advancing many of the existing techniques. Our approach is to conceptualize the notion of a Sholl descriptor and associate, for each morphological feature, and to each neuron, a function of the radial distance from the soma, taking value

SUBMITTER: Khalil R 

PROVIDER: S-EPMC9255741 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature