ArticleBMC bioinformatics2015
Topological characterization of neuronal arbor morphology via sequence representation: I--motif analysis.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Neuronal diversity and stereotypy at multiple scales through whole brain morphometry.Nature communications · 2024Article
- Morphological classification of neurons based on Sugeno fuzzy integration and multi-classifier fusion.Scientific reports · 2024Article
- DSM: Deep sequential model for complete neuronal morphology representation and feature extraction.Patterns (New York, N.Y.) · 2024Article
- Multi-gate Weighted Fusion Network for neuronal morphology classification.Frontiers in neuroscience · 2024Article
- Full-Spectrum Neuronal Diversity and Stereotypy through Whole Brain Morphometry.Research square · 2023Article
- Olfactory responses ofeLife · 2022Article
- Topological Sholl descriptors for neuronal clustering and classification.PLoS computational biology · 2022Article
- Smart imaging to empower brain-wide neuroscience at single-cell levels.Brain informatics · 2022Review
- Exploring highly reliable substructures in auto-reconstructions of a neuron.Brain informatics · 2021Article
- Axonal Tree Morphology and Signal Propagation Dynamics Improve Interneuron Classification.Neuroinformatics · 2020Article
- A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination.Neuroinformatics · 2020Article
- NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity.Neuroinformatics · 2020Article
- Density Visualization Pipeline: A Tool for Cellular and Network Density Visualization and Analysis.Frontiers in computational neuroscience · 2020Article
- Objective Morphological Classification of Neocortical Pyramidal Cells.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Morphological Neuron Classification Based on Dendritic Tree Hierarchy.Neuroinformatics · 2019Article
- Modelling brain-wide neuronal morphology via rooted Cayley trees.Scientific reports · 2018Article
- A Topological Representation of Branching Neuronal Morphologies.Neuroinformatics · 2018Article
- BlastNeuron for Automated Comparison, Retrieval and Clustering of 3D Neuron Morphologies.Neuroinformatics · 2015Article
- Topological characterization of neuronal arbor morphology via sequence representation: II--global alignment.BMC bioinformatics · 2015Article
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2 authors.
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Abstract
backgroundThe morphology of neurons offers many insights into developmental processes and signal processing. Numerous reports have focused on metrics at the level of individual branches or whole arbors; however, no studies have attempted to quantify repeated morphological patterns within neuronal trees. We introduce a novel sequential encoding of neurite branching suitable to explore topological patterns.
resultsUsing all possible branching topologies for comparison we show that the relative abundance of short patterns of up to three bifurcations, together with overall tree size, effectively capture the local branching patterns of neurons. Dendrites and axons display broadly similar topological motifs (over-represented patterns) and anti-motifs (under-represented patterns), differing most in their proportions of bifurcations with one terminal branch and in select sub-sequences of three bifurcations. In addition, pyramidal apical dendrites reveal a distinct motif profile.
conclusionsThe quantitative characterization of topological motifs in neuronal arbors provides a thorough description of local features and detailed boundaries for growth mechanisms and hypothesized computational functions.
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