Independent complexity patterns in single neuron activity induced by static magnetic field
Само за регистроване кориснике
2011
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
We applied a combination of fractal analysis and Independent Component Analysis (ICA) method to detect the sources of fractal complexity in snail Br neuron activity induced by static magnetic field of 2.7 mT. The fractal complexity of Br neuron activity was analyzed before (Control), during (MF), and after (AMF) exposure to the static magnetic field in six experimental animals. We estimated the fractal dimension (FD) of electrophysiological signals using Higuchi's algorithm, and empirical FD distributions. By using the Principal Component Analysis (PCA) and FastICA algorithm we determined the number of components, and defined the statistically independent components (ICs) in the fractal complexity of signal waveforms. We have isolated two independent components of the empirical FD distributions for each of three groups of data by using FastICA algorithm. ICs represent the sources of fractal waveforms complexity of Br neuron activity in particular experimental conditions. Our main resul...ts have shown that there could be two opposite intrinsic mechanisms in single snail Br neuron response to static magnetic field stimulation. We named identified ICs that correspond to those mechanisms - the component of plasticity and the component of elasticity. We have shown that combination of fractal analysis with ICA method could be very useful for the decomposition and identification of the sources of fractal complexity of bursting neuronal activity waveforms.
Кључне речи:
Static magnetic field / Single neuron activity / Principal Component Analysis / Independent Component Analysis / Higuchi fractal dimension / Br neuronИзвор:
Computer Methods and Programs in Biomedicine, 2011, 104, 2, 212-218Издавач:
- Elsevier Ireland Ltd, Clare
Финансирање / пројекти:
- Утицај магнетних поља и других срединских стресора на физиолошке одговоре и понашање различитих врста (RS-173027)
- Неуробиологија спавања у старењу и болести - електроенцефалографски маркери и моделирање у процени поремећаја (RS-173022)
DOI: 10.1016/j.cmpb.2011.07.006
ISSN: 0169-2607
PubMed: 21820752
WoS: 000296945100023
Scopus: 2-s2.0-80054089842
Институција/група
Institut za multidisciplinarna istraživanjaTY - JOUR AU - Spasić, Slađana AU - Nikolić, Ljiljana M. AU - Mutavdžić, Dragosav AU - Šaponjić, Jasna PY - 2011 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/468 AB - We applied a combination of fractal analysis and Independent Component Analysis (ICA) method to detect the sources of fractal complexity in snail Br neuron activity induced by static magnetic field of 2.7 mT. The fractal complexity of Br neuron activity was analyzed before (Control), during (MF), and after (AMF) exposure to the static magnetic field in six experimental animals. We estimated the fractal dimension (FD) of electrophysiological signals using Higuchi's algorithm, and empirical FD distributions. By using the Principal Component Analysis (PCA) and FastICA algorithm we determined the number of components, and defined the statistically independent components (ICs) in the fractal complexity of signal waveforms. We have isolated two independent components of the empirical FD distributions for each of three groups of data by using FastICA algorithm. ICs represent the sources of fractal waveforms complexity of Br neuron activity in particular experimental conditions. Our main results have shown that there could be two opposite intrinsic mechanisms in single snail Br neuron response to static magnetic field stimulation. We named identified ICs that correspond to those mechanisms - the component of plasticity and the component of elasticity. We have shown that combination of fractal analysis with ICA method could be very useful for the decomposition and identification of the sources of fractal complexity of bursting neuronal activity waveforms. PB - Elsevier Ireland Ltd, Clare T2 - Computer Methods and Programs in Biomedicine T1 - Independent complexity patterns in single neuron activity induced by static magnetic field EP - 218 IS - 2 SP - 212 VL - 104 DO - 10.1016/j.cmpb.2011.07.006 ER -
@article{ author = "Spasić, Slađana and Nikolić, Ljiljana M. and Mutavdžić, Dragosav and Šaponjić, Jasna", year = "2011", abstract = "We applied a combination of fractal analysis and Independent Component Analysis (ICA) method to detect the sources of fractal complexity in snail Br neuron activity induced by static magnetic field of 2.7 mT. The fractal complexity of Br neuron activity was analyzed before (Control), during (MF), and after (AMF) exposure to the static magnetic field in six experimental animals. We estimated the fractal dimension (FD) of electrophysiological signals using Higuchi's algorithm, and empirical FD distributions. By using the Principal Component Analysis (PCA) and FastICA algorithm we determined the number of components, and defined the statistically independent components (ICs) in the fractal complexity of signal waveforms. We have isolated two independent components of the empirical FD distributions for each of three groups of data by using FastICA algorithm. ICs represent the sources of fractal waveforms complexity of Br neuron activity in particular experimental conditions. Our main results have shown that there could be two opposite intrinsic mechanisms in single snail Br neuron response to static magnetic field stimulation. We named identified ICs that correspond to those mechanisms - the component of plasticity and the component of elasticity. We have shown that combination of fractal analysis with ICA method could be very useful for the decomposition and identification of the sources of fractal complexity of bursting neuronal activity waveforms.", publisher = "Elsevier Ireland Ltd, Clare", journal = "Computer Methods and Programs in Biomedicine", title = "Independent complexity patterns in single neuron activity induced by static magnetic field", pages = "218-212", number = "2", volume = "104", doi = "10.1016/j.cmpb.2011.07.006" }
Spasić, S., Nikolić, L. M., Mutavdžić, D.,& Šaponjić, J.. (2011). Independent complexity patterns in single neuron activity induced by static magnetic field. in Computer Methods and Programs in Biomedicine Elsevier Ireland Ltd, Clare., 104(2), 212-218. https://doi.org/10.1016/j.cmpb.2011.07.006
Spasić S, Nikolić LM, Mutavdžić D, Šaponjić J. Independent complexity patterns in single neuron activity induced by static magnetic field. in Computer Methods and Programs in Biomedicine. 2011;104(2):212-218. doi:10.1016/j.cmpb.2011.07.006 .
Spasić, Slađana, Nikolić, Ljiljana M., Mutavdžić, Dragosav, Šaponjić, Jasna, "Independent complexity patterns in single neuron activity induced by static magnetic field" in Computer Methods and Programs in Biomedicine, 104, no. 2 (2011):212-218, https://doi.org/10.1016/j.cmpb.2011.07.006 . .