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

Jesus Poza; Roberto Hornero; Javier Escudero; Alberto Fernandez; Carlos Gomez

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

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

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 language	English
Title of host publication	2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8
Place of Publication	NEW YORK
Publisher	Institute of Electrical and Electronics Engineers
Pages	5712-5715
Number of pages	4
ISBN (Print)	978-1-4244-1814-5
Publication status	Published - 2008
Event	30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society - Vancouver, Canada Duration: 20 Aug 2008 → 24 Aug 2008

Publication series

Name	IEEE Engineering in Medicine and Biology Society Conference Proceedings
Publisher	IEEE
ISSN (Print)	1557-170X

Conference

Conference	30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society
Country/Territory	Canada
Period	20/08/08 → 24/08/08

Keywords / Materials (for Non-textual outputs)

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

Cite this

Poza, J., Hornero, R., Escudero, J., Fernandez, A., & Gomez, C. (2008). Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters. In 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 (pp. 5712-5715). (IEEE Engineering in Medicine and Biology Society Conference Proceedings). Institute of Electrical and Electronics Engineers.

Poza, Jesus ; Hornero, Roberto ; Escudero, Javier et al. / Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters. 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8. NEW YORK : Institute of Electrical and Electronics Engineers, 2008. pp. 5712-5715 (IEEE Engineering in Medicine and Biology Society Conference Proceedings).

@inproceedings{cb6df8036ea249b1bb3e169d3a74ea48,

title = "Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters",

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.",

keywords = "SIGNAL-AVERAGED ELECTROCARDIOGRAM, SPECTRAL TURBULENCE ANALYSIS, MILD COGNITIVE IMPAIRMENT, BACKGROUND ACTIVITY, EEG, OSCILLATIONS, DIAGNOSIS, RHYTHMS",

author = "Jesus Poza and Roberto Hornero and Javier Escudero and Alberto Fernandez and Carlos Gomez",

year = "2008",

language = "English",

isbn = "978-1-4244-1814-5",

series = "IEEE Engineering in Medicine and Biology Society Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "5712--5715",

booktitle = "2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8",

address = "United States",

note = "30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society ; Conference date: 20-08-2008 Through 24-08-2008",

}

Poza, J, Hornero, R, Escudero, J, Fernandez, A & Gomez, C 2008, Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters. in 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8. IEEE Engineering in Medicine and Biology Society Conference Proceedings, Institute of Electrical and Electronics Engineers, NEW YORK, pp. 5712-5715, 30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, Canada, 20/08/08.

Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters. / Poza, Jesus; Hornero, Roberto; Escudero, Javier et al.
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8. NEW YORK: Institute of Electrical and Electronics Engineers, 2008. p. 5712-5715 (IEEE Engineering in Medicine and Biology Society Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters

AU - Poza, Jesus

AU - Hornero, Roberto

AU - Escudero, Javier

AU - Fernandez, Alberto

AU - Gomez, Carlos

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - SIGNAL-AVERAGED ELECTROCARDIOGRAM

KW - SPECTRAL TURBULENCE ANALYSIS

KW - MILD COGNITIVE IMPAIRMENT

KW - BACKGROUND ACTIVITY

KW - EEG

KW - OSCILLATIONS

KW - DIAGNOSIS

KW - RHYTHMS

M3 - Conference contribution

SN - 978-1-4244-1814-5

T3 - IEEE Engineering in Medicine and Biology Society Conference Proceedings

SP - 5712

EP - 5715

BT - 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8

PB - Institute of Electrical and Electronics Engineers

CY - NEW YORK

T2 - 30th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society

Y2 - 20 August 2008 through 24 August 2008

ER -

Poza J, Hornero R, Escudero J, Fernandez A, Gomez C. Analysis of Spontaneous MEG Activity in Alzheimer's Disease Using Time-Frequency Parameters. In 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8. NEW YORK: Institute of Electrical and Electronics Engineers. 2008. p. 5712-5715. (IEEE Engineering in Medicine and Biology Society Conference Proceedings).

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

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

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Cite this