Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain

Odorants evoke characteristic, but complex, local field potentials (LFPs) in the molluscan brain. Wavelet tools in combination with Fourier analysis can detect and characterize hitherto unknown discrete, slow potentials underlying the conspicuous oscillations. Ethanol was one of the odorants that we...

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Autores principales: Schütt, A., Ito, I., Rosso, O.A., Figliola, A.
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01650270_v129_n2_p135_Schutt
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spelling todo:paper_01650270_v129_n2_p135_Schutt2023-10-03T15:02:34Z Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain Schütt, A. Ito, I. Rosso, O.A. Figliola, A. Energy Entropy Ethanol-evoked local field potentials Limax procerebrum Mutual exclusion Wavelet transform animal experiment article brain brain electrophysiology cell synchronization controlled study correlation function electric potential electroencephalography energy entropy Fourier analysis mollusc neuropil nonhuman odor oscillation priority journal stimulation Odorants evoke characteristic, but complex, local field potentials (LFPs) in the molluscan brain. Wavelet tools in combination with Fourier analysis can detect and characterize hitherto unknown discrete, slow potentials underlying the conspicuous oscillations. Ethanol was one of the odorants that we have extensively studied (J. Neurosci. Methods, 119 (2002) 89). To detect new features and to elucidate their functions, we tested the wavelet tools on the ethanol-evoked LFP responses of the slug (Limax) procerebrum. Recordings were made in vitro from the neuropile and the cell layer. The present study led to the following findings: (i) Mutual exclusion. Energy concentrated mainly in two ranges, (a) 0.1-0.4 Hz and (b) 1.56-12.5 Hz, and the sum of energy remained constant throughout experiments regardless of the condition. A redistribution of relative energy within this sum seemed to occur in the course of main, possible interactions between the two components excluding each other ('mutual exclusion'). (ii) Transient signal ordering and disordering. Ethanol stimulation alternatingly evoked periods of strongly time evolving oscillation dominated by the energy of 1.56-12.5 Hz (increase of entropy=disordered or complexly ordered state) and those of near-silence were predominated by the energy of 0.1-0.4 Hz (decrease of entropy=ordered state). (iii) About 0.1 Hz slow wave oscillation. It was robust. The dominant energy oscillation and the resulting large entropy fluctuation were negatively correlated to each other, and revealed strong frequency-tuning or synchronization at this frequency. Our findings suggest that discrete slow waves play functionally important roles in the invertebrate brain, as widely known in vertebrate EEG. Wavelet tools allow an easy interpretation of several minutes of frequency variations in a single display and give precise information on stimulus-evoked complex change of the neural system describing the new state 'more ordered' or 'non-ordered or more complexly ordered'. © 2003 Elsevier B.V. All rights reserved. Fil:Figliola, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01650270_v129_n2_p135_Schutt
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Energy
Entropy
Ethanol-evoked local field potentials
Limax procerebrum
Mutual exclusion
Wavelet transform
animal experiment
article
brain
brain electrophysiology
cell synchronization
controlled study
correlation function
electric potential
electroencephalography
energy
entropy
Fourier analysis
mollusc
neuropil
nonhuman
odor
oscillation
priority journal
stimulation
spellingShingle Energy
Entropy
Ethanol-evoked local field potentials
Limax procerebrum
Mutual exclusion
Wavelet transform
animal experiment
article
brain
brain electrophysiology
cell synchronization
controlled study
correlation function
electric potential
electroencephalography
energy
entropy
Fourier analysis
mollusc
neuropil
nonhuman
odor
oscillation
priority journal
stimulation
Schütt, A.
Ito, I.
Rosso, O.A.
Figliola, A.
Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain
topic_facet Energy
Entropy
Ethanol-evoked local field potentials
Limax procerebrum
Mutual exclusion
Wavelet transform
animal experiment
article
brain
brain electrophysiology
cell synchronization
controlled study
correlation function
electric potential
electroencephalography
energy
entropy
Fourier analysis
mollusc
neuropil
nonhuman
odor
oscillation
priority journal
stimulation
description Odorants evoke characteristic, but complex, local field potentials (LFPs) in the molluscan brain. Wavelet tools in combination with Fourier analysis can detect and characterize hitherto unknown discrete, slow potentials underlying the conspicuous oscillations. Ethanol was one of the odorants that we have extensively studied (J. Neurosci. Methods, 119 (2002) 89). To detect new features and to elucidate their functions, we tested the wavelet tools on the ethanol-evoked LFP responses of the slug (Limax) procerebrum. Recordings were made in vitro from the neuropile and the cell layer. The present study led to the following findings: (i) Mutual exclusion. Energy concentrated mainly in two ranges, (a) 0.1-0.4 Hz and (b) 1.56-12.5 Hz, and the sum of energy remained constant throughout experiments regardless of the condition. A redistribution of relative energy within this sum seemed to occur in the course of main, possible interactions between the two components excluding each other ('mutual exclusion'). (ii) Transient signal ordering and disordering. Ethanol stimulation alternatingly evoked periods of strongly time evolving oscillation dominated by the energy of 1.56-12.5 Hz (increase of entropy=disordered or complexly ordered state) and those of near-silence were predominated by the energy of 0.1-0.4 Hz (decrease of entropy=ordered state). (iii) About 0.1 Hz slow wave oscillation. It was robust. The dominant energy oscillation and the resulting large entropy fluctuation were negatively correlated to each other, and revealed strong frequency-tuning or synchronization at this frequency. Our findings suggest that discrete slow waves play functionally important roles in the invertebrate brain, as widely known in vertebrate EEG. Wavelet tools allow an easy interpretation of several minutes of frequency variations in a single display and give precise information on stimulus-evoked complex change of the neural system describing the new state 'more ordered' or 'non-ordered or more complexly ordered'. © 2003 Elsevier B.V. All rights reserved.
format JOUR
author Schütt, A.
Ito, I.
Rosso, O.A.
Figliola, A.
author_facet Schütt, A.
Ito, I.
Rosso, O.A.
Figliola, A.
author_sort Schütt, A.
title Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain
title_short Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain
title_full Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain
title_fullStr Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain
title_full_unstemmed Wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (Limax marginatus) brain
title_sort wavelet analysis can sensitively describe dynamics of ethanol evoked local field potentials of the slug (limax marginatus) brain
url http://hdl.handle.net/20.500.12110/paper_01650270_v129_n2_p135_Schutt
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AT figliolaa waveletanalysiscansensitivelydescribedynamicsofethanolevokedlocalfieldpotentialsofthesluglimaxmarginatusbrain
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