ACTIVE PERCOLATION ANALYSIS OF PYRAMIDAL NEURONS OF SOMATOSENSORY CORTEX: A COMPARISON OF WILD TYPE AND p21H-RasVal12TRANSGENIC MICE

Luciano Da Fontoura Costa, Marconi Soares Barbosa (), Andreas Schierwagen, Alán Alpár, Ulrich Gärtner and Thomas Arendt
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Luciano Da Fontoura Costa: Instituto de Física de São Carlos, Universidade de São Paulo, Caixa Postal 369, CEP 13560.970, São Carlos, SP, Brazil
Marconi Soares Barbosa: Instituto de Física de São Carlos, Universidade de São Paulo, Caixa Postal 369, CEP 13560.970, São Carlos, SP, Brazil
Andreas Schierwagen: Institute for Computer Science, University of Leipzig, D-04109 Leipzig, Germany
Alán Alpár: Department of Neuroanatomy, Paul Flechsig Institut for Brain Research, University of Leipzig, D-04109 Leipzig, Germany
Ulrich Gärtner: Department of Neuroanatomy, Paul Flechsig Institut for Brain Research, University of Leipzig, D-04109 Leipzig, Germany
Thomas Arendt: Department of Neuroanatomy, Paul Flechsig Institut for Brain Research, University of Leipzig, D-04109 Leipzig, Germany

International Journal of Modern Physics C (IJMPC), 2005, vol. 16, issue 04, 655-667

Abstract: This article describes the investigation of morphological variations among two sets of neuronal cells, namely a control group of wild type mouse cells and a group of cells of a transgenic 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.

Keywords: Neuronal shape; neuromorphometry; percolation; phase transition; density analysis (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1142/S0129183105007406

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