| Identifying rhythms of subthalamic neural oscillations in time-frequency domain. | |
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MedLine Citation:
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PMID: 19164017 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We aimed to identify neural oscillations in the time-frequency representation of local field potentials recorded from the subthalamic nucleus. The time-frequency representation was normalised over the global mean and standard deviation global normalisation, or against the baseline period at each frequency, local normalisation. The cross-correlation between beta and gamma oscillations was enhanced by global normalisation. Furthermore, voluntary movement related amplitude changes in the gamma band and frequency modulation in the beta band were revealed by local normalisation. Thus global or local normalisation of time-frequency representation provides a reliable and effective way to identify oscillatory rhythms in subthalamic neural activity by reducing noise and increasing frequency discrimination. It can be used to enhance the detection of obscure or hidden neural oscillations and improve the sensitivity of post-hoc analysis. |
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Authors:
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Shouyan Wang; Alex Green; John Stein; Tipu Aziz; Xuguang Liu |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2008 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2008 |
Date Detail:
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Created Date: 2009-02-16 Completed Date: 2009-05-12 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 5724-8 Citation Subset: IM |
Affiliation:
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Institute of Sound and Vibration Research, Southampton, UK. s.wang@soton.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Biological Clocks* Diagnosis, Computer-Assisted / methods* Electroencephalography / methods* Evoked Potentials, Motor Humans Movement* Parkinson Disease / diagnosis*, physiopathology* Pattern Recognition, Automated / methods Signal Processing, Computer-Assisted |
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