Mouse activity across time scales: fractal scenarios

In this work we devise a classification of mouse activity patterns based on accelerometer data using Detrended Fluctuation Analysis. We use two characteristic mouse behavioural states as benchmarks in this study: waking in free activity and slow-wave sleep (SWS). In both situations we find roughly t...

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Principais autores:	Soares, Bruno Lobão, Nascimento, George Carlos do, França, Arthur S. C., Muratori, L., Ribeiro, Sidarta Tollendal Gomes, Corso, Gilberto
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Idioma:	eng
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Assuntos:	mouse behavioural mouse activity patterns Detrended Fluctuation Analysis neuroautonomic regulation mechanisms sleep-wake dynamics
Endereço do item:	https://repositorio.ufrn.br/jspui/handle/123456789/23262
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spelling	ri-123456789-232622021-11-11T20:52:05Z Mouse activity across time scales: fractal scenarios Soares, Bruno Lobão Nascimento, George Carlos do França, Arthur S. C. Muratori, L. Ribeiro, Sidarta Tollendal Gomes Corso, Gilberto mouse behavioural mouse activity patterns Detrended Fluctuation Analysis neuroautonomic regulation mechanisms sleep-wake dynamics In this work we devise a classification of mouse activity patterns based on accelerometer data using Detrended Fluctuation Analysis. We use two characteristic mouse behavioural states as benchmarks in this study: waking in free activity and slow-wave sleep (SWS). In both situations we find roughly the same pattern: for short time intervals we observe high correlation in activity - a typical 1/f complex pattern - while for large time intervals there is anti-correlation. High correlation of short intervals ( to : waking state and to : SWS) is related to highly coordinated muscle activity. In the waking state we associate high correlation both to muscle activity and to mouse stereotyped movements (grooming, waking, etc.). On the other side, the observed anti-correlation over large time scales ( to : waking state and to : SWS) during SWS appears related to a feedback autonomic response. The transition from correlated regime at short scales to an anti-correlated regime at large scales during SWS is given by the respiratory cycle interval, while during the waking state this transition occurs at the time scale corresponding to the duration of the stereotyped mouse movements. Furthermore, we find that the waking state is characterized by longer time scales than SWS and by a softer transition from correlation to anti-correlation. Moreover, this soft transition in the waking state encompass a behavioural time scale window that gives rise to a multifractal pattern. We believe that the observed multifractality in mouse activity is formed by the integration of several stereotyped movements each one with a characteristic time correlation. Finally, we compare scaling properties of body acceleration fluctuation time series during sleep and wake periods for healthy mice. Interestingly, differences between sleep and wake in the scaling exponents are comparable to previous works regarding human heartbeat. Complementarily, the nature of these sleep-wake dynamics could lead to a better understanding of neuroautonomic regulation mechanisms. 2017-05-31T12:11:52Z 2017-05-31T12:11:52Z 2014-10-02 article https://repositorio.ufrn.br/jspui/handle/123456789/23262 10.1371/journal.pone.0105092 eng Acesso Aberto application/pdf
institution	Repositório Institucional
collection	RI - UFRN
language	eng
topic	mouse behavioural mouse activity patterns Detrended Fluctuation Analysis neuroautonomic regulation mechanisms sleep-wake dynamics
spellingShingle	mouse behavioural mouse activity patterns Detrended Fluctuation Analysis neuroautonomic regulation mechanisms sleep-wake dynamics Soares, Bruno Lobão Nascimento, George Carlos do França, Arthur S. C. Muratori, L. Ribeiro, Sidarta Tollendal Gomes Corso, Gilberto Mouse activity across time scales: fractal scenarios
description	In this work we devise a classification of mouse activity patterns based on accelerometer data using Detrended Fluctuation Analysis. We use two characteristic mouse behavioural states as benchmarks in this study: waking in free activity and slow-wave sleep (SWS). In both situations we find roughly the same pattern: for short time intervals we observe high correlation in activity - a typical 1/f complex pattern - while for large time intervals there is anti-correlation. High correlation of short intervals ( to : waking state and to : SWS) is related to highly coordinated muscle activity. In the waking state we associate high correlation both to muscle activity and to mouse stereotyped movements (grooming, waking, etc.). On the other side, the observed anti-correlation over large time scales ( to : waking state and to : SWS) during SWS appears related to a feedback autonomic response. The transition from correlated regime at short scales to an anti-correlated regime at large scales during SWS is given by the respiratory cycle interval, while during the waking state this transition occurs at the time scale corresponding to the duration of the stereotyped mouse movements. Furthermore, we find that the waking state is characterized by longer time scales than SWS and by a softer transition from correlation to anti-correlation. Moreover, this soft transition in the waking state encompass a behavioural time scale window that gives rise to a multifractal pattern. We believe that the observed multifractality in mouse activity is formed by the integration of several stereotyped movements each one with a characteristic time correlation. Finally, we compare scaling properties of body acceleration fluctuation time series during sleep and wake periods for healthy mice. Interestingly, differences between sleep and wake in the scaling exponents are comparable to previous works regarding human heartbeat. Complementarily, the nature of these sleep-wake dynamics could lead to a better understanding of neuroautonomic regulation mechanisms.
format	article
author	Soares, Bruno Lobão Nascimento, George Carlos do França, Arthur S. C. Muratori, L. Ribeiro, Sidarta Tollendal Gomes Corso, Gilberto
author_facet	Soares, Bruno Lobão Nascimento, George Carlos do França, Arthur S. C. Muratori, L. Ribeiro, Sidarta Tollendal Gomes Corso, Gilberto
author_sort	Soares, Bruno Lobão
title	Mouse activity across time scales: fractal scenarios
title_short	Mouse activity across time scales: fractal scenarios
title_full	Mouse activity across time scales: fractal scenarios
title_fullStr	Mouse activity across time scales: fractal scenarios
title_full_unstemmed	Mouse activity across time scales: fractal scenarios
title_sort	mouse activity across time scales: fractal scenarios
publishDate	2017
url	https://repositorio.ufrn.br/jspui/handle/123456789/23262
work_keys_str_mv	AT soaresbrunolobao mouseactivityacrosstimescalesfractalscenarios AT nascimentogeorgecarlosdo mouseactivityacrosstimescalesfractalscenarios AT francaarthursc mouseactivityacrosstimescalesfractalscenarios AT muratoril mouseactivityacrosstimescalesfractalscenarios AT ribeirosidartatollendalgomes mouseactivityacrosstimescalesfractalscenarios AT corsogilberto mouseactivityacrosstimescalesfractalscenarios
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Mouse activity across time scales: fractal scenarios

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