| Time-frequency analysis using damped-oscillator pseudo-wavelets: Application to electrophysiological recordings. | |
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MedLine Citation:
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PMID: 20933002 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The damped-oscillator pseudo-wavelet is presented as a method of time-frequency analysis along with a new spectral density measure, the data power. An instantaneous phase can be defined for this pseudo-wavelet, and it is easily inverted. The data power measure is tested on both computer generated data and in vivo intrahippocampal electrophysiological recordings from a rat. The data power spectral density is found to give better time and frequency resolution than the more conventional total energy measure, and additionally shows intricate time-frequency structure in the rat that is altered in association with the emergence of epilepsy. With epileptogenesis, the baseline theta oscillation is severely degraded and is absorbed into a broader gamma band. There are also broad 600 Hz and 2000 Hz bands which localize to hippocampal layers that are distinct from those of the theta and gamma bands. The 600 Hz band decreases in prominence with epileptogenesis while the 2000 Hz band increases in prominence. The origins of these high frequency bands await further study. In general, we find that the damped-oscillator pseudo-wavelet is easy to use and is particularly suitable for problems where a wide range of oscillator frequencies is expected. |
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Authors:
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David Hsu; Murielle Hsu; Heidi L Grabenstatter; Gregory A Worrell; Thomas P Sutula |
Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2010-10-07 |
Journal Detail:
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Title: Journal of neuroscience methods Volume: 194 ISSN: 1872-678X ISO Abbreviation: J. Neurosci. Methods Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-11-29 Completed Date: 2011-03-16 Revised Date: 2011-12-19 |
Medline Journal Info:
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Nlm Unique ID: 7905558 Medline TA: J Neurosci Methods Country: Netherlands |
Other Details:
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Languages: eng Pagination: 179-92 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier B.V. All rights reserved. |
Affiliation:
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Department of Neurology, University of Wisconsin, Madison, WI, USA. hsu@neurology.wisc.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Animals Data Interpretation, Statistical Electroencephalography / drug effects, statistics & numerical data Electrophysiological Phenomena / drug effects Electrophysiology / statistics & numerical data* Epilepsy / physiopathology Excitatory Amino Acid Agonists / pharmacology Fourier Analysis Hippocampus / physiology Kainic Acid / pharmacology Membrane Potentials / drug effects Models, Statistical Rats Rats, Sprague-Dawley Uncertainty Wavelet Analysis* |
| Grant Support | |
ID/Acronym/Agency:
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R01 NS025020-17/NS/NINDS NIH HHS; R01 NS063039-02/NS/NINDS NIH HHS; R01 NS063039-03/NS/NINDS NIH HHS; R01-25020//PHS HHS; R01-NS63039-01/NS/NINDS NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Excitatory Amino Acid Agonists; 487-79-6/Kainic Acid |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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