High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals

Intracranial electroencephalography (iEEG) can directly record local field potentials (LFPs) from a large set of neurons in the vicinity of the electrode. To search for possible epileptic biomarkers and to determine the epileptogenic zone that gives rise to seizures, we investigated the dynamics of...

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Detalles Bibliográficos
Autores principales: Granado, Mauro, Collavini, Santiago, Baravalle, Román, Martínez, Nataniel, Montemurro, Marcelo A., Rosso, Osvaldo Aníbal, Montani, Fernando Fabián
Formato: Articulo
Lenguaje:Inglés
Publicado: 2022
Materias:
Física
Non linear dynamics
Entropy
Information and communication theory
Integral transforms
Complex dynamics
Probability theory
Biomarker discovery
Electroencephalography
Diseases and conditions
Neuroscience
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/160440
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-160440
record_format dspace
spelling I19-R120-10915-1604402023-11-23T20:43:14Z http://sedici.unlp.edu.ar/handle/10915/160440 High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals Granado, Mauro Collavini, Santiago Baravalle, Román Martínez, Nataniel Montemurro, Marcelo A. Rosso, Osvaldo Aníbal Montani, Fernando Fabián 2022-09-30 2023-11-23T13:36:20Z en Física Non linear dynamics Entropy Information and communication theory Integral transforms Complex dynamics Probability theory Biomarker discovery Electroencephalography Diseases and conditions Neuroscience Intracranial electroencephalography (iEEG) can directly record local field potentials (LFPs) from a large set of neurons in the vicinity of the electrode. To search for possible epileptic biomarkers and to determine the epileptogenic zone that gives rise to seizures, we investigated the dynamics of basal and preictal signals. For this purpose, we explored the dynamics of the recorded time series for different frequency bands considering high-frequency oscillations (HFO) up to 240 Hz. We apply a Hilbert transform to study the amplitude and phase of the signals. The dynamics of the different frequency bands in the time causal entropy-complexity plane, H × C, is characterized by comparing the dynamical evolution of the basal and preictal time series. As the preictal states evolve closer to the time in which the epileptic seizure starts, the, H × C, dynamics changes for the higher frequency bands. The complexity evolves to very low values and the entropy becomes nearer to its maximal value. These quasi-stable states converge to equiprobable states when the entropy is maximal, and the complexity is zero. We could, therefore, speculate that in this case, it corresponds to the minimization of Gibbs free energy. In this case, the maximum entropy is equivalent to the principle of minimum consumption of resources in the system. We can interpret this as the nature of the system evolving temporally in the preictal state in such a way that the consumption of resources by the system is minimal for the amplitude in frequencies between 220–230 and 230–240 Hz. Instituto de Física La Plata Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Non linear dynamics
Entropy
Information and communication theory
Integral transforms
Complex dynamics
Probability theory
Biomarker discovery
Electroencephalography
Diseases and conditions
Neuroscience
spellingShingle Física
Non linear dynamics
Entropy
Information and communication theory
Integral transforms
Complex dynamics
Probability theory
Biomarker discovery
Electroencephalography
Diseases and conditions
Neuroscience
Granado, Mauro
Collavini, Santiago
Baravalle, Román
Martínez, Nataniel
Montemurro, Marcelo A.
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals
topic_facet Física
Non linear dynamics
Entropy
Information and communication theory
Integral transforms
Complex dynamics
Probability theory
Biomarker discovery
Electroencephalography
Diseases and conditions
Neuroscience
description Intracranial electroencephalography (iEEG) can directly record local field potentials (LFPs) from a large set of neurons in the vicinity of the electrode. To search for possible epileptic biomarkers and to determine the epileptogenic zone that gives rise to seizures, we investigated the dynamics of basal and preictal signals. For this purpose, we explored the dynamics of the recorded time series for different frequency bands considering high-frequency oscillations (HFO) up to 240 Hz. We apply a Hilbert transform to study the amplitude and phase of the signals. The dynamics of the different frequency bands in the time causal entropy-complexity plane, H × C, is characterized by comparing the dynamical evolution of the basal and preictal time series. As the preictal states evolve closer to the time in which the epileptic seizure starts, the, H × C, dynamics changes for the higher frequency bands. The complexity evolves to very low values and the entropy becomes nearer to its maximal value. These quasi-stable states converge to equiprobable states when the entropy is maximal, and the complexity is zero. We could, therefore, speculate that in this case, it corresponds to the minimization of Gibbs free energy. In this case, the maximum entropy is equivalent to the principle of minimum consumption of resources in the system. We can interpret this as the nature of the system evolving temporally in the preictal state in such a way that the consumption of resources by the system is minimal for the amplitude in frequencies between 220–230 and 230–240 Hz.
format Articulo
Articulo
author Granado, Mauro
Collavini, Santiago
Baravalle, Román
Martínez, Nataniel
Montemurro, Marcelo A.
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author_facet Granado, Mauro
Collavini, Santiago
Baravalle, Román
Martínez, Nataniel
Montemurro, Marcelo A.
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author_sort Granado, Mauro
title High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals
title_short High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals
title_full High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals
title_fullStr High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals
title_full_unstemmed High-frequency oscillations in the ripple bands and amplitude information coding: Toward a biomarker of maximum entropy in the preictal signals
title_sort high-frequency oscillations in the ripple bands and amplitude information coding: toward a biomarker of maximum entropy in the preictal signals
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/160440
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