Приказ основних података о документу

dc.creatorSpasić, Slađana
dc.creatorNikolić, Ljiljana M.
dc.creatorMutavdžić, Dragosav
dc.creatorŠaponjić, Jasna
dc.date.accessioned2022-04-05T14:29:43Z
dc.date.available2022-04-05T14:29:43Z
dc.date.issued2011
dc.identifier.issn0169-2607
dc.identifier.urihttp://rimsi.imsi.bg.ac.rs/handle/123456789/468
dc.description.abstractWe 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.en
dc.publisherElsevier Ireland Ltd, Clare
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173027/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173022/RS//
dc.rightsrestrictedAccess
dc.sourceComputer Methods and Programs in Biomedicine
dc.subjectStatic magnetic fielden
dc.subjectSingle neuron activityen
dc.subjectPrincipal Component Analysisen
dc.subjectIndependent Component Analysisen
dc.subjectHiguchi fractal dimensionen
dc.subjectBr neuronen
dc.titleIndependent complexity patterns in single neuron activity induced by static magnetic fielden
dc.typearticle
dc.rights.licenseARR
dc.citation.epage218
dc.citation.issue2
dc.citation.other104(2): 212-218
dc.citation.rankM21
dc.citation.spage212
dc.citation.volume104
dc.identifier.doi10.1016/j.cmpb.2011.07.006
dc.identifier.pmid21820752
dc.identifier.scopus2-s2.0-80054089842
dc.identifier.wos000296945100023
dc.type.versionpublishedVersion


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Приказ основних података о документу