FRACTAL ANALYSIS OF DENDRITIC ARBORISATION PATTERNS OF STALKED AND ISLET NEURONS IN SUBSTANTIA GELATINOSA OF DIFFERENT SPECIES
| Autor: | Radmila Gudović, Jovan B. Stanković, Dušan Ristanović, Nebojša T. Milošević |
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| Rok vydání: | 2007 |
| Předmět: |
Dorsum
endocrine system animal structures Biology Fractal dimension 03 medical and health sciences 0302 clinical medicine Substantia gelatinosa Islet cells medicine natural sciences 030304 developmental biology 0303 health sciences geography geography.geographical_feature_category Applied Mathematics respiratory system Spinal cord Islet Fractal analysis medicine.anatomical_structure Modeling and Simulation Biophysics Geometry and Topology Human species 030217 neurology & neurosurgery circulatory and respiratory physiology |
| Zdroj: | Fractals. 15:1-7 |
| ISSN: | 1793-6543 0218-348X |
| DOI: | 10.1142/s0218348x07003411 |
| Popis: | Through analysis of the morphology of dendritic arborisation of neurons from the substantia gelatinosa of dorsal horns from four different species, we have established that two types of cells (stalked and islet) are always present. The aim of the study was to perform the intra- and/or inter-species comparison of these two neuronal populations by fractal analysis, as well as to clarify the importance of the fractal dimension as an objective and usable morphological parameter. Fractal analysis was carried out adopting the box-counting method. We have shown that the mean fractal dimensions for the stalked cells are significantly different between species. The same is true for the mean fractal dimensions of the islet cells. Still, no significant differences were found for the fractal dimensions of the stalked and islet cells within a particular species. The human species has shown as the only exception where fractal dimensions of these two types of cells differ significantly. This study shows once more that the fractal dimension is a useful and sensitive morphological descriptor of neuronal structures and differences between them. |
| Databáze: | OpenAIRE |
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