Application of fractal analysis to neuronal dendritic arborisation patterns of the monkey dentate nucleus

Milošević, Nebojša T.; Ristanović, Dušan; Gudović, R; Rajković, Katarina; Marić, Dušica L.

doi:10.1016/j.neulet.2007.08.009

Cited by 27 publications

(17 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The neuronal images were grouped according to Chan-Palay scheme of neuronal types [8]: 13 images of large “prickly” neurons, 18 images of boundary neurons, 24 images of asymmetrical neurons, and 22 images of “columnar” neurons [9]. …”

Section: Methodsmentioning

confidence: 99%

Box-Counting Method of 2D Neuronal Image: Method Modification and Quantitative Analysis Demonstrated on Images from the Monkey and Human Brain

Rajković

Krstonošić

Milošević

2017

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

This study calls attention to the difference between traditional box-counting method and its modification. The appropriate scaling factor, influence on image size and resolution, and image rotation, as well as different image presentation, are showed on the sample of asymmetrical neurons from the monkey dentate nucleus. The standard BC method and its modification were evaluated on the sample of 2D neuronal images from the human neostriatum. In addition, three box dimensions (which estimate the space-filling property, the shape, complexity, and the irregularity of dendritic tree) were used to evaluate differences in the morphology of type III aspiny neurons between two parts of the neostriatum.

show abstract

Section: Methodsmentioning

confidence: 99%

Box-Counting Method of 2D Neuronal Image: Method Modification and Quantitative Analysis Demonstrated on Images from the Monkey and Human Brain

Rajković

Krstonošić

Milošević

2017

Computational and Mathematical Methods in Medicine

View full text Add to dashboard Cite

show abstract

“…Milosevic et al applied fractal analysis to quantify the complexity of neurons in the deep nuclei of the cerebellar cortex. FD was able to differentiate between three types of dendritic cells in the monkey dentate nuclei (Milosevic et al, 2007).…”

Section: Neuropharmacologymentioning

confidence: 96%

The utility of fractal analysis in clinical neuroscience

John

Elfanagely

Ayala

et al. 2015

Reviews in the Neurosciences

View full text Add to dashboard Cite

AbstractPhysicians and scientists can use fractal analysis as a tool to objectively quantify complex patterns found in neuroscience and neurology. Fractal analysis has the potential to allow physicians to make predictions about clinical outcomes, categorize pathological states, and eventually generate diagnoses. In this review, we categorize and analyze the applications of fractal theory in neuroscience found in the literature. We discuss how fractals are applied and what evidence exists for fractal analysis in neurodegeneration, neoplasm, neurodevelopment, neurophysiology, epilepsy, neuropharmacology, and cell morphology. The goal of this review is to introduce the medical community to the utility of applying fractal theory in clinical neuroscience.

show abstract

“…Only a few Golgi studies have been devoted to the cerebellar nuclei since the early investigations of Saccozzi (1887) and Lugaro (1895) in man. Recent descriptions offer some new data concerning the dentate nucleus of the rat (Matsushita and Nobuharu, 1971;Chan-Palay, 1973, 1977, cat (Matsushita and Nobuharu, 1971;Sotelo and Angaut, 1973), monkey (Chan-Palay, 1977;Fix, 1975;Milošević et al, 2007a) and human (Jacob, 1928;Larsell and Jansen, 1972;Braak and Braak, 1983;Mihajlovic and Zecevic, 1986) -are available. Although many relevant and important findings on this nucleus have been presented so far, remarkably little information about its cellular organization and the neuronal types that constitute this nucleus have been collected.…”

Section: Analysis Of Cell Types Of the Dentate Nucleusmentioning

confidence: 99%

“…The evaluation of the usefulness and efficiency of our new quantitative parameter -the cell image area (the area of the neuronal silhouette) presents results of our recent investigations (Milošević et al, 2007a). The cell morphology of the dentate nucleus of the cerebellar cortex has not yet received adequate explanatory attention.…”

Section: Introductionmentioning

confidence: 99%