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Spectral and Fractal Analysis of ECoG in Animal Model of Aluminium Intoxication

Ljiljana Martac (), Jelena Podgorac, Branka Petkovic, Slobodan Sekulic and Ivan Capo
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Ljiljana Martac: Department of Neurophysiology, Institute for Biological Research “Siniša Stanković†, University of Belgrade, Belgrade, Serbia
Jelena Podgorac: Department of Neurophysiology, Institute for Biological Research “Siniša Stanković†, University of Belgrade, Belgrade, Serbia
Branka Petkovic: Department of Neurophysiology, Institute for Biological Research “Siniša Stanković†, University of Belgrade, Belgrade, Serbia
Slobodan Sekulic: Department of Neurology, University Hospital, Clinical Center of Vojvodina, Novi Sad, Serbia
Ivan Capo: Department of Histology, Medical Faculty, University of Novi Sad, Novi Sad, Serbia

Journal of Biotechnology Research, 2015, vol. 1, issue 5, 21-25

Abstract: This paper presents an overview of rat animal model of Alzheimer’s disease. Model is based on the toxicity, oxidative stress and neurodegeneration. The model is obtained by treatment of rats with intraperitoneal aluminum. Electrocortical group neuron activity describes changes in neurotransmission caused by different factors. Such changes could be qualitatively described by spectral and fractal analysis of electrocortical activity as a variation of the relative spectral power. Both animals and patients with Alzheimers demention have increased relative spectral power in delta range. By fractal analysis we described changes in electrocortical activity of aluminum intoxication animals compare to physiological control. We used change in delta range to calculate fractal dimension. Also we used fractal dimension to compare treated animals with control ones to quantitatively describe the degree of pathophysiological state. All changes are correlated with an increase in the relative spectral power in the delta range and can be quantitatively described by fractal dimension. Results are presented as the effect and can also be applied to the human model of neurotoxicity and neurodegeneration like Alzheimer’s dementia. The model itself may be used for diagnostic and prognostic purposes since it describes the parameters underlying Alzheimer’s disease. However in definition of disease should be consider a state of dementia and menthal activity.

Keywords: Toxicity; Ionian disbalans; Oxidative stress; Fractal analysis; Spectral power (search for similar items in EconPapers)
Date: 2015
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