REMOD: A Tool for Analyzing and Remodeling the Dendritic Architecture of Neural Cells

Frontiers in Neuroanatomy
Panagiotis BozelosPanayiota Poirazi

Abstract

Dendritic morphology is a key determinant of how individual neurons acquire a unique signal processing profile. The highly branched dendritic structure that originates from the cell body, explores the surrounding 3D space in a fractal-like manner, until it reaches a certain amount of complexity. Its shape undergoes significant alterations under various physiological or neuropathological conditions. Yet, despite the profound effect that these alterations can have on neuronal function, the causal relationship between the two remains largely elusive. The lack of a systematic approach for remodeling neural cells and their dendritic trees is a key limitation that contributes to this problem. Such causal relationships can be inferred via the use of large-scale neuronal models whereby the anatomical plasticity of neurons is accounted for, in order to enhance their biological relevance and hence their predictive performance. To facilitate this effort, we developed a computational tool named REMOD that allows the structural remodeling of any type of virtual neuron. REMOD is written in Python and can be accessed through a dedicated web interface that guides the user through various options to manipulate selected neuronal morphologies. RE...Continue Reading

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Methods Mentioned

BETA
imaging techniques

Software Mentioned

NeuroMac
TREES
NETMORPH
REMOD
BTMORPH
Measure
Python
ArborVitae
GitHub
Neurolucida Explorer

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