| Analysis of spontaneous MEG activity in Alzheimer's disease using time-frequency parameters. | |
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MedLine Citation:
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PMID: 19164014 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The aim of this study was to explore the ability of several time-frequency parameters to discriminate between spontaneous magnetoencephalographic (MEG) oscillations from 20 Alzheimer's disease (AD) patients and 21 controls. The spectral crest factor (SCF) and the spectral turbulence (ST) were calculated from the time-frequency distribution of the normalized power spectral density averaged over all MEG sensors. Results revealed statistically significant higher SCF and ST mean values for AD patients than controls (p 0.05). This fact suggests a significant decrease in irregularity of AD patients' MEG activity. The standard deviation of SCF also provided significant differences (p 0.05). This result indicates that AD patients showed a significantly higher variability than controls. The highest accuracy of 85.4% (90.5% sensitivity, 80.0% specificity) was achieved using simultaneously the mean value and the standard deviation of the SCF. We conclude that the variability of the spectral parameters can yield complementary information to the mean values, useful to help in AD detection. |
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Authors:
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Jesus Poza; Roberto Hornero; Javier Escudero; Alberto Fernandez; Carlos Gomez |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
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: 5712-5 Citation Subset: IM |
Affiliation:
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Biomedical Engineering Group (GIB), Dpt. TSCIT, University of Valladolid, Camino del Cementerio s/n, 47011, Spain. jesus.poza@tel.uva.es |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Algorithms* Alzheimer Disease / diagnosis*, physiopathology* Biological Clocks* Brain / physiopathology* Diagnosis, Computer-Assisted / methods* Female Humans Magnetoencephalography / methods* Male Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted |
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