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Active percolation analysis of pyramidal neurons of somatosensory cortex: A comparison of wildtype and p21H-Ras<Sup>Val12 transgenic mice

dc.contributor.authorda Fontoura Costa, Luciano
dc.contributor.authorBarbosa, Marconi
dc.contributor.authorSchierwagen, Andreas
dc.contributor.authorAlpar, Alan
dc.contributor.authorGartner, Ulrich
dc.contributor.authorArendt, Thomas
dc.date.accessioned2015-12-10T21:54:15Z
dc.date.issued2005
dc.date.updated2015-12-09T07:24:51Z
dc.description.abstractThis article describes the investigation of morphological variations among two sets of neuronal cells, namely a control group of wild type rat cells and a group of cells of a trangenic line. Special attention is given to singular points in the neuronal structure, namely the branching points and extremities of the dendritic processes. The characterization of the spatial distribution of such points is obtained by using a recently reported morphological technique based on forced percolation and window-size compensation, which is particularly suited to the analysis of scattered points, presenting several coexisting densities. Different dispersions were identified in our statistical analysis, suggesting that the transgenic line of neurons is characterized by a more pronounced morphological variation. A classification scheme based on a canonical discriminant function was also considered in order to identify the morphological differences.
dc.identifier.issn0129-1831
dc.identifier.urihttp://hdl.handle.net/1885/38854
dc.publisherWorld Scientific Publishing Company
dc.sourceInternational Journal of Modern Physics C: Physics and Computers
dc.subjectKeywords: Density analysis; Neuromorphometry; Neuronal shape; Percolation; Phase transition
dc.titleActive percolation analysis of pyramidal neurons of somatosensory cortex: A comparison of wildtype and p21H-Ras<Sup>Val12 transgenic mice
dc.typeJournal article
local.bibliographicCitation.issue4
local.bibliographicCitation.lastpage667
local.bibliographicCitation.startpage655
local.contributor.affiliationda Fontoura Costa, Luciano, Universidade de Sao Paulo
local.contributor.affiliationBarbosa, Marconi, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationSchierwagen, Andreas, University of Leipzig
local.contributor.affiliationAlpar, Alan, University of Leipzig
local.contributor.affiliationGartner, Ulrich, University of Leipzig
local.contributor.affiliationArendt, Thomas, University of Leipzig
local.contributor.authoruidBarbosa, Marconi, u1820479
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absfor010202 - Biological Mathematics
local.identifier.absfor060102 - Bioinformatics
local.identifier.absseo970111 - Expanding Knowledge in the Medical and Health Sciences
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciences
local.identifier.ariespublicationu8611701xPUB167
local.identifier.citationvolume16
local.identifier.doi10.1142/S0129183105007406
local.identifier.scopusID2-s2.0-22044450881
local.type.statusPublished Version

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