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Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats
The analysis of the interaction and synchronization of relatively large ensembles of neurons is fundamental for the understanding of complex functions of the nervous system. It is known that the temporal synchronization of neural ensembles is involved in the generation of specific motor, sensory or...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203154/ https://www.ncbi.nlm.nih.gov/pubmed/22046288 http://dx.doi.org/10.1371/journal.pone.0026449 |
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author | Rodríguez, Erika E. Hernández-Lemus, Enrique Itzá-Ortiz, Benjamín A. Jiménez, Ismael Rudomín, Pablo |
author_facet | Rodríguez, Erika E. Hernández-Lemus, Enrique Itzá-Ortiz, Benjamín A. Jiménez, Ismael Rudomín, Pablo |
author_sort | Rodríguez, Erika E. |
collection | PubMed |
description | The analysis of the interaction and synchronization of relatively large ensembles of neurons is fundamental for the understanding of complex functions of the nervous system. It is known that the temporal synchronization of neural ensembles is involved in the generation of specific motor, sensory or cognitive processes. Also, the intersegmental coherence of spinal spontaneous activity may indicate the existence of synaptic neural pathways between different pairs of lumbar segments. In this study we present a multichannel version of the detrended fluctuation analysis method (mDFA) to analyze the correlation dynamics of spontaneous spinal activity (SSA) from time series analysis. This method together with the classical detrended fluctuation analysis (DFA) were used to find out whether the SSA recorded in one or several segments in the spinal cord of the anesthetized cat occurs either in a random or in an organized manner. Our results are consistent with a non-random organization of the sets of neurons involved in the generation of spontaneous cord dorsum potentials (CDPs) recorded either from one lumbar segment (DFA-[Image: see text] mean = 1.04[Image: see text]0.09) or simultaneously from several lumbar segments (mDFA-[Image: see text] mean = 1.01[Image: see text]0.06), where [Image: see text] = 0.5 indicates randomness while [Image: see text]0.5 indicates long-term correlations. To test the sensitivity of the mDFA method we also examined the effects of small spinal lesions aimed to partially interrupt connectivity between neighboring lumbosacral segments. We found that the synchronization and correlation between the CDPs recorded from the L5 and L6 segments in both sides of the spinal cord were reduced when a lesion comprising the left dorsal quadrant was performed between the segments L5 and L6 (mDFA-[Image: see text] = 0.992 as compared to initial conditions mDFA-[Image: see text] = 1.186). The synchronization and correlation were reduced even further after a similar additional right spinal lesion (mDFA-[Image: see text] = 0.924). In contrast to the classical methods, such as correlation and coherence quantification that define a relation between two sets of data, the mDFA method properly reveals the synchronization of multiple groups of neurons in several segments of the spinal cord. This method is envisaged as a useful tool to characterize the structure of higher order ensembles of cord dorsum spontaneous potentials after spinal cord or peripheral nerve lesions. |
format | Online Article Text |
id | pubmed-3203154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32031542011-11-01 Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats Rodríguez, Erika E. Hernández-Lemus, Enrique Itzá-Ortiz, Benjamín A. Jiménez, Ismael Rudomín, Pablo PLoS One Research Article The analysis of the interaction and synchronization of relatively large ensembles of neurons is fundamental for the understanding of complex functions of the nervous system. It is known that the temporal synchronization of neural ensembles is involved in the generation of specific motor, sensory or cognitive processes. Also, the intersegmental coherence of spinal spontaneous activity may indicate the existence of synaptic neural pathways between different pairs of lumbar segments. In this study we present a multichannel version of the detrended fluctuation analysis method (mDFA) to analyze the correlation dynamics of spontaneous spinal activity (SSA) from time series analysis. This method together with the classical detrended fluctuation analysis (DFA) were used to find out whether the SSA recorded in one or several segments in the spinal cord of the anesthetized cat occurs either in a random or in an organized manner. Our results are consistent with a non-random organization of the sets of neurons involved in the generation of spontaneous cord dorsum potentials (CDPs) recorded either from one lumbar segment (DFA-[Image: see text] mean = 1.04[Image: see text]0.09) or simultaneously from several lumbar segments (mDFA-[Image: see text] mean = 1.01[Image: see text]0.06), where [Image: see text] = 0.5 indicates randomness while [Image: see text]0.5 indicates long-term correlations. To test the sensitivity of the mDFA method we also examined the effects of small spinal lesions aimed to partially interrupt connectivity between neighboring lumbosacral segments. We found that the synchronization and correlation between the CDPs recorded from the L5 and L6 segments in both sides of the spinal cord were reduced when a lesion comprising the left dorsal quadrant was performed between the segments L5 and L6 (mDFA-[Image: see text] = 0.992 as compared to initial conditions mDFA-[Image: see text] = 1.186). The synchronization and correlation were reduced even further after a similar additional right spinal lesion (mDFA-[Image: see text] = 0.924). In contrast to the classical methods, such as correlation and coherence quantification that define a relation between two sets of data, the mDFA method properly reveals the synchronization of multiple groups of neurons in several segments of the spinal cord. This method is envisaged as a useful tool to characterize the structure of higher order ensembles of cord dorsum spontaneous potentials after spinal cord or peripheral nerve lesions. Public Library of Science 2011-10-27 /pmc/articles/PMC3203154/ /pubmed/22046288 http://dx.doi.org/10.1371/journal.pone.0026449 Text en Rodríguez et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Rodríguez, Erika E. Hernández-Lemus, Enrique Itzá-Ortiz, Benjamín A. Jiménez, Ismael Rudomín, Pablo Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats |
title | Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats |
title_full | Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats |
title_fullStr | Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats |
title_full_unstemmed | Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats |
title_short | Multichannel Detrended Fluctuation Analysis Reveals Synchronized Patterns of Spontaneous Spinal Activity in Anesthetized Cats |
title_sort | multichannel detrended fluctuation analysis reveals synchronized patterns of spontaneous spinal activity in anesthetized cats |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203154/ https://www.ncbi.nlm.nih.gov/pubmed/22046288 http://dx.doi.org/10.1371/journal.pone.0026449 |
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