Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters

Jesus Poza*, Roberto Hornero, Javier Escudero, Alberto Fernandez, Carlos Gomez

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 (S) 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.

Original languageEnglish
Title of host publication2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8
Place of PublicationNEW YORK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages5712-5715
Number of pages4
ISBN (Print)978-1-4244-1814-5
Publication statusPublished - 2008
Event30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society - Vancouver, Canada
Duration: 20 Aug 200824 Aug 2008

Publication series

NameIEEE Engineering in Medicine and Biology Society Conference Proceedings
PublisherIEEE
ISSN (Print)1557-170X

Conference

Conference30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society
Country/TerritoryCanada
Period20/08/0824/08/08

Keywords

  • SIGNAL-AVERAGED ELECTROCARDIOGRAM
  • SPECTRAL TURBULENCE ANALYSIS
  • MILD COGNITIVE IMPAIRMENT
  • BACKGROUND ACTIVITY
  • EEG
  • OSCILLATIONS
  • DIAGNOSIS
  • RHYTHMS

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