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Document Type: Artigo
Title: Quantitative estimation of the nonstationary behavior of neural spontaneous activity
Authors: Destro Filho, Joao Batista
Estombelo Montesco, Carlos Alberto
Murta Junior, Luiz Otavio
Martinoia, Sergio
Chiappalone, Michela
Marques, Suélen Moreira
Neves, Amanda Ferreira
Issue Date: 2010
Abstract: The “stationarity time” (ST) of neuronal spontaneous activity signals of rat embryonic cortical cells, measured by means of a planar Multielectrode Array (MEA), was estimated based on the “Detrended Fluctuation Analysis” (DFA). The ST is defined as the mean time interval during which the signal under analysis keeps its statistical characteristics constant. An upgrade on the DFA method is proposed, leading to a more accurate procedure. Strong statistical correlation between the ST, estimated from the Absolute Amplitude of Neural Spontaneous Activity (AANSA) signals and the Mean Interburst Interval (MIB), calculated by classical spike sorting methods applied to the interspike interval time series, was obtained. In consequence, the MIB may be estimated by means of the ST, which further includes relevant biological information arising from basal activity. The results point out that the average ST of MEA signals lies between 2-3 seconds. Furthermore, it was shown that a neural culture presents signals that lead to different statistical behaviors, depending on the relative geometric position of each electrode and the cells. Such behaviors may disclose physiological phenomena, which are possibly associated with different adaptation/facilitation mechanisms.
Keywords: Stationarity time
Neuronal spontaneous activity
ISSN: 1687-5273
Publisher / Institution : Hindawi Publishing Corporation
Citation: DESTRO FILHO, J. B. et al. Quantitative estimation of the nonstationary behavior of neural spontaneous activity. Computational Intelligence and Neuroscience, v. 2010, 2010. Disponível em: <>. Acesso em: 19 maio 2016.
License: Creative Commons Attribution License
Appears in Collections:DCOMP - Artigos de periódicos

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