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Lempel-Ziv complexity of cortical activity during sleep and waking in rats

Understanding the dynamics of brain activity manifested in the EEG, local field potentials (LFP), and neuronal spiking is essential for explaining their underlying mechanisms and physiological significance. Much has been learned about sleep regulation using conventional EEG power spectrum, coherence...

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Autores principales: Abásolo, Daniel, Simons, Samantha, Morgado da Silva, Rita, Tononi, Giulio, Vyazovskiy, Vladyslav V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Physiological Society 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416627/
https://www.ncbi.nlm.nih.gov/pubmed/25717159
http://dx.doi.org/10.1152/jn.00575.2014
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author Abásolo, Daniel
Simons, Samantha
Morgado da Silva, Rita
Tononi, Giulio
Vyazovskiy, Vladyslav V.
author_facet Abásolo, Daniel
Simons, Samantha
Morgado da Silva, Rita
Tononi, Giulio
Vyazovskiy, Vladyslav V.
author_sort Abásolo, Daniel
collection PubMed
description Understanding the dynamics of brain activity manifested in the EEG, local field potentials (LFP), and neuronal spiking is essential for explaining their underlying mechanisms and physiological significance. Much has been learned about sleep regulation using conventional EEG power spectrum, coherence, and period-amplitude analyses, which focus primarily on frequency and amplitude characteristics of the signals and on their spatio-temporal synchronicity. However, little is known about the effects of ongoing brain state or preceding sleep-wake history on the nonlinear dynamics of brain activity. Recent advances in developing novel mathematical approaches for investigating temporal structure of brain activity based on such measures, as Lempel-Ziv complexity (LZC) can provide insights that go beyond those obtained with conventional techniques of signal analysis. Here, we used extensive data sets obtained in spontaneously awake and sleeping adult male laboratory rats, as well as during and after sleep deprivation, to perform a detailed analysis of cortical LFP and neuronal activity with LZC approach. We found that activated brain states—waking and rapid eye movement (REM) sleep are characterized by higher LZC compared with non-rapid eye movement (NREM) sleep. Notably, LZC values derived from the LFP were especially low during early NREM sleep after sleep deprivation and toward the middle of individual NREM sleep episodes. We conclude that LZC is an important and yet largely unexplored measure with a high potential for investigating neurophysiological mechanisms of brain activity in health and disease.
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spelling pubmed-44166272015-05-13 Lempel-Ziv complexity of cortical activity during sleep and waking in rats Abásolo, Daniel Simons, Samantha Morgado da Silva, Rita Tononi, Giulio Vyazovskiy, Vladyslav V. J Neurophysiol Neural Circuits Understanding the dynamics of brain activity manifested in the EEG, local field potentials (LFP), and neuronal spiking is essential for explaining their underlying mechanisms and physiological significance. Much has been learned about sleep regulation using conventional EEG power spectrum, coherence, and period-amplitude analyses, which focus primarily on frequency and amplitude characteristics of the signals and on their spatio-temporal synchronicity. However, little is known about the effects of ongoing brain state or preceding sleep-wake history on the nonlinear dynamics of brain activity. Recent advances in developing novel mathematical approaches for investigating temporal structure of brain activity based on such measures, as Lempel-Ziv complexity (LZC) can provide insights that go beyond those obtained with conventional techniques of signal analysis. Here, we used extensive data sets obtained in spontaneously awake and sleeping adult male laboratory rats, as well as during and after sleep deprivation, to perform a detailed analysis of cortical LFP and neuronal activity with LZC approach. We found that activated brain states—waking and rapid eye movement (REM) sleep are characterized by higher LZC compared with non-rapid eye movement (NREM) sleep. Notably, LZC values derived from the LFP were especially low during early NREM sleep after sleep deprivation and toward the middle of individual NREM sleep episodes. We conclude that LZC is an important and yet largely unexplored measure with a high potential for investigating neurophysiological mechanisms of brain activity in health and disease. American Physiological Society 2015-02-25 2015-04 /pmc/articles/PMC4416627/ /pubmed/25717159 http://dx.doi.org/10.1152/jn.00575.2014 Text en Copyright © 2015 the American Physiological Society Licensed under Creative Commons Attribution CC-BY 3.0 (http://creativecommons.org/licenses/by/3.0/deed.en_US) : © the American Physiological Society.
spellingShingle Neural Circuits
Abásolo, Daniel
Simons, Samantha
Morgado da Silva, Rita
Tononi, Giulio
Vyazovskiy, Vladyslav V.
Lempel-Ziv complexity of cortical activity during sleep and waking in rats
title Lempel-Ziv complexity of cortical activity during sleep and waking in rats
title_full Lempel-Ziv complexity of cortical activity during sleep and waking in rats
title_fullStr Lempel-Ziv complexity of cortical activity during sleep and waking in rats
title_full_unstemmed Lempel-Ziv complexity of cortical activity during sleep and waking in rats
title_short Lempel-Ziv complexity of cortical activity during sleep and waking in rats
title_sort lempel-ziv complexity of cortical activity during sleep and waking in rats
topic Neural Circuits
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416627/
https://www.ncbi.nlm.nih.gov/pubmed/25717159
http://dx.doi.org/10.1152/jn.00575.2014
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