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Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus
Fast oscillations or “ripples” are found in the local field potential (LFP) of the rodent hippocampus during awake and sleep states. Ripples have been found to correlate with memory related neural processing, however, the functional role of the ripple has yet to be fully established. We applied a Ka...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2701674/ https://www.ncbi.nlm.nih.gov/pubmed/19562084 http://dx.doi.org/10.3389/neuro.07.011.2009 |
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author | Nguyen, David P. Kloosterman, Fabian Barbieri, Riccardo Brown, Emery N. Wilson, Matthew A. |
author_facet | Nguyen, David P. Kloosterman, Fabian Barbieri, Riccardo Brown, Emery N. Wilson, Matthew A. |
author_sort | Nguyen, David P. |
collection | PubMed |
description | Fast oscillations or “ripples” are found in the local field potential (LFP) of the rodent hippocampus during awake and sleep states. Ripples have been found to correlate with memory related neural processing, however, the functional role of the ripple has yet to be fully established. We applied a Kalman smoother based estimator of instantaneous frequency (iFreq) and frequency modulation (FM) to ripple oscillations recorded in-vivo from region CA1 of the rat and mouse hippocampus during slow wave sleep. We found that (1) ripples exhibit stereotypical frequency dynamics that are consistent in the rat and mouse, (2) instantaneous frequency information may be used as an additional dimension in the classification of ripple events, and (3) the instantaneous frequency structure of ripples may be used to improve the detection of ripple events by reducing Type I and Type II errors. Based on our results, we propose that high temporal and spectral resolution estimates of frequency dynamics may be used to help elucidate the mechanisms of ripple generation and memory related processing. |
format | Text |
id | pubmed-2701674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-27016742009-06-26 Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus Nguyen, David P. Kloosterman, Fabian Barbieri, Riccardo Brown, Emery N. Wilson, Matthew A. Front Integr Neurosci Neuroscience Fast oscillations or “ripples” are found in the local field potential (LFP) of the rodent hippocampus during awake and sleep states. Ripples have been found to correlate with memory related neural processing, however, the functional role of the ripple has yet to be fully established. We applied a Kalman smoother based estimator of instantaneous frequency (iFreq) and frequency modulation (FM) to ripple oscillations recorded in-vivo from region CA1 of the rat and mouse hippocampus during slow wave sleep. We found that (1) ripples exhibit stereotypical frequency dynamics that are consistent in the rat and mouse, (2) instantaneous frequency information may be used as an additional dimension in the classification of ripple events, and (3) the instantaneous frequency structure of ripples may be used to improve the detection of ripple events by reducing Type I and Type II errors. Based on our results, we propose that high temporal and spectral resolution estimates of frequency dynamics may be used to help elucidate the mechanisms of ripple generation and memory related processing. Frontiers Research Foundation 2009-06-10 /pmc/articles/PMC2701674/ /pubmed/19562084 http://dx.doi.org/10.3389/neuro.07.011.2009 Text en Copyright © 2009 Nguyen, Kloosterman, Barbieri, Brown and Wilson. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Nguyen, David P. Kloosterman, Fabian Barbieri, Riccardo Brown, Emery N. Wilson, Matthew A. Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus |
title | Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus |
title_full | Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus |
title_fullStr | Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus |
title_full_unstemmed | Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus |
title_short | Characterizing the Dynamic Frequency Structure of Fast Oscillations in the Rodent Hippocampus |
title_sort | characterizing the dynamic frequency structure of fast oscillations in the rodent hippocampus |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2701674/ https://www.ncbi.nlm.nih.gov/pubmed/19562084 http://dx.doi.org/10.3389/neuro.07.011.2009 |
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