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...
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| Format: | Article |
| Language: | en_US |
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Frontiers Media S.A.
2012
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| Online Access: | http://hdl.handle.net/1721.1/69883 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X https://orcid.org/0000-0001-7149-3584 |
| _version_ | 1811073912425938944 |
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| author | Nguyen, David P. Kloosterman, Fabian Barbieri, Riccardo Brown, Emery N. Wilson, Matthew A. |
| author2 | Whitaker College of Health Sciences and Technology |
| author_facet | Whitaker College of Health Sciences and Technology Nguyen, David P. Kloosterman, Fabian Barbieri, Riccardo Brown, Emery N. Wilson, Matthew A. |
| author_sort | Nguyen, David P. |
| collection | MIT |
| 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. |
| first_indexed | 2024-09-23T09:40:07Z |
| format | Article |
| id | mit-1721.1/69883 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:40:07Z |
| publishDate | 2012 |
| publisher | Frontiers Media S.A. |
| record_format | dspace |
| spelling | mit-1721.1/698832022-09-26T12:56:44Z 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. Whitaker College of Health Sciences and Technology Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Picower Institute for Learning and Memory Brown, Emery N. Brown, Emery N. Barbieri, Riccardo Nguyen, David P. Kloosterman, Fabian Wilson, Matthew A. 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. National Institutes of Health (U.S.) (NIH/NIMH R01 MH59733) National Institutes of Health (U.S.) (NIH/NIHLB R01 HL084502) Massachusetts Institute of Technology (Henry E. Singleton Presidential Graduate Fellowship Award) 2012-03-28T19:40:27Z 2012-03-28T19:40:27Z 2009-06 2009-03 Article http://purl.org/eprint/type/JournalArticle 1662-5145 http://hdl.handle.net/1721.1/69883 Nguyen, David P. “Characterizing the Frequency Structure of Fast Oscillations in the Rodent Hippocampus.” Frontiers in Integrative Neuroscience 3 (2009): 1-14. https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X https://orcid.org/0000-0001-7149-3584 en_US http://dx.doi.org/10.3389/neuro.07.011.2009 Frontiers in Integrative Neuroscience Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Frontiers Media S.A. Frontiers |
| spellingShingle | 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 |
| url | http://hdl.handle.net/1721.1/69883 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X https://orcid.org/0000-0001-7149-3584 |
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