Topological characterization of neuronal arbor morphology via sequence representation. I. Motif analysis

dc.contributor.authorGillette, Todd A.
dc.contributor.authorAscoli, Giorgio A.
dc.date.accessioned2015-09-10T18:08:44Z
dc.date.available2015-09-10T18:08:44Z
dc.date.issued2015-07-10
dc.description.abstractBackground. The 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. Results. Using 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. Conclusions. The 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.
dc.description.sponsorshipThis work was supported by NIH grant R01 NS39600. Publication of this article was funded in part by the George Mason University Libraries Open Access Publishing Fund.
dc.identifier.citationGillette, Todd, and Giorgio Ascoli. “Topological Characterization of Neuronal Arbor Morphology via Sequence Representation: I - Motif Analysis.” BMC Bioinformatics 16, no. 1 (2015): 216.
dc.identifier.doihttp://dx.doi.org/10.1186/s12859-015-0604-2
dc.identifier.urihttps://hdl.handle.net/1920/9829
dc.language.isoen_US
dc.publisherBioMed Central
dc.rightsAttribution 3.0 United States
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/us/
dc.subjectNeuronal morphology
dc.subjectTree topology
dc.subjectMotif analysis
dc.titleTopological characterization of neuronal arbor morphology via sequence representation. I. Motif analysis
dc.typeArticle

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