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Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats
Previous studies have shown that multiple brain regions are involved in pain perception and pain-related neural processes by forming a functionally connected pain network. It is still unclear how these pain-related brain areas actively work together to generate the experience of pain. To get a bette...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640783/ https://www.ncbi.nlm.nih.gov/pubmed/29062273 http://dx.doi.org/10.3389/fncir.2017.00071 |
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author | Li, Xuezhu Zhao, Zifang Ma, Jun Cui, Shuang Yi, Ming Guo, Huailian Wan, You |
author_facet | Li, Xuezhu Zhao, Zifang Ma, Jun Cui, Shuang Yi, Ming Guo, Huailian Wan, You |
author_sort | Li, Xuezhu |
collection | PubMed |
description | Previous studies have shown that multiple brain regions are involved in pain perception and pain-related neural processes by forming a functionally connected pain network. It is still unclear how these pain-related brain areas actively work together to generate the experience of pain. To get a better insight into the pain network, we implanted electrodes in four pain-related areas of rats including the anterior cingulate cortex (ACC), orbitofrontal cortex (OFC), primary somatosensory cortex (S1) and periaqueductal gray (PAG). We analyzed the pattern of local field potential (LFP) oscillations under noxious laser stimulations and innoxious laser stimulations. A high-dimensional feature matrix was built based on the LFP characters for both experimental conditions. Generalized linear models (GLMs) were trained to classify recorded LFPs under noxious vs. innoxious condition. We found a general power decrease in α and β bands and power increase in γ band in the recorded areas under noxious condition. After noxious laser stimulation, there was a consistent change in LFP power and correlation in all four brain areas among all 13 rats. With GLM classifiers, noxious laser trials were distinguished from innoxious laser trials with high accuracy (86%) using high-dimensional LFP features. This work provides a basis for further research to examine which aspects (e.g., sensory, motor or affective processes) of noxious stimulation should drive distinct neural activity across the pain network. |
format | Online Article Text |
id | pubmed-5640783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56407832017-10-23 Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats Li, Xuezhu Zhao, Zifang Ma, Jun Cui, Shuang Yi, Ming Guo, Huailian Wan, You Front Neural Circuits Neuroscience Previous studies have shown that multiple brain regions are involved in pain perception and pain-related neural processes by forming a functionally connected pain network. It is still unclear how these pain-related brain areas actively work together to generate the experience of pain. To get a better insight into the pain network, we implanted electrodes in four pain-related areas of rats including the anterior cingulate cortex (ACC), orbitofrontal cortex (OFC), primary somatosensory cortex (S1) and periaqueductal gray (PAG). We analyzed the pattern of local field potential (LFP) oscillations under noxious laser stimulations and innoxious laser stimulations. A high-dimensional feature matrix was built based on the LFP characters for both experimental conditions. Generalized linear models (GLMs) were trained to classify recorded LFPs under noxious vs. innoxious condition. We found a general power decrease in α and β bands and power increase in γ band in the recorded areas under noxious condition. After noxious laser stimulation, there was a consistent change in LFP power and correlation in all four brain areas among all 13 rats. With GLM classifiers, noxious laser trials were distinguished from innoxious laser trials with high accuracy (86%) using high-dimensional LFP features. This work provides a basis for further research to examine which aspects (e.g., sensory, motor or affective processes) of noxious stimulation should drive distinct neural activity across the pain network. Frontiers Media S.A. 2017-10-09 /pmc/articles/PMC5640783/ /pubmed/29062273 http://dx.doi.org/10.3389/fncir.2017.00071 Text en Copyright © 2017 Li, Zhao, Ma, Cui, Yi, Guo and Wan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Li, Xuezhu Zhao, Zifang Ma, Jun Cui, Shuang Yi, Ming Guo, Huailian Wan, You Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats |
title | Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats |
title_full | Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats |
title_fullStr | Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats |
title_full_unstemmed | Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats |
title_short | Extracting Neural Oscillation Signatures of Laser-Induced Nociception in Pain-Related Regions in Rats |
title_sort | extracting neural oscillation signatures of laser-induced nociception in pain-related regions in rats |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640783/ https://www.ncbi.nlm.nih.gov/pubmed/29062273 http://dx.doi.org/10.3389/fncir.2017.00071 |
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