Primena Higučijeve fraktalne dimenzije i metode nezavisnih komponenata u analizi spontane bioelektrične aktivnosti Br neurona vinogradskog puža pod delovanjem konstantnog magnetnog polja i uabaina
Application of Higuchi fractal dimension and indepenedent component method in analysis of garden snail Br neuron bursting activity modulated by static magnetic field and ouabain.
Abstract:
Nonlinear and advanced statistical methods, in addition to linear methods, occupy a
prominent place in the analysis of physiological signals, especially in light of the non-linear and
chaotic behavior of biological systems. Therefore, the use of Higuchi fractal dimension and
independent component analysis (ICA), reperesents a new approach to signal analysis, especially
regarding the activities of one neuron. The most recognizable type of spontaneous bioelectric
activity in neurons of invertebrates as well as vertebrates is the appearance of bursting activity.
This study presents a unique and innovative approach to the separation of the components
of spontaneous bioelectric activity of the garden snail Br neuron - action potential (AP),
interspike interval (ISI) and interburst interval (IBI), by using Higuchi’s fractal dimension and
Gaussian fitting functions. This methodological approach allows monitoring of the effect of
static magnetic field and the inhibitor of the Na+/K+ pump, ouabain, on the changes in the
complexity of the spontaneous bioelectric activity of the Br neuron. On the other hand, for the
first time ICA method was tested in different experimental conditions on AP, ISI and IBI
components of spontaneous bioelectric activity.
This study demonstrates the power of the common use of the above mentioned methods
and proposes to extend their use for the purpose of analyzing spontaneously active neurons of
different species in physiological and patological conditions.
Keywords:
Higuchi fractal dimension; ICA; Br neuron; Static magnetic field; OuabainSource:
University of Belgrade, Faculty of Biology, 2014, 1-93URI
http://eteze.bg.ac.rs/application/showtheses?thesesId=2858https://fedorabg.bg.ac.rs/fedora/get/o:11066/bdef:Content/download
http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=1024734130
http://nardus.mpn.gov.rs/123456789/5286
https://radar.ibiss.bg.ac.rs/handle/123456789/2391