On the statistical significance of event-related EEG desynchronization and synchronization in the time-frequency plane

We propose and discuss a complete framework for estimating significant changes in the average time-frequency density of energy of event-related signals. Addressed issues include estimation of time-frequency energy density (matching pursuit and spectrogram), choice of resampling statistics to test th...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2004-07, Vol.51 (7), p.1167-1175
Main Authors: Durka, P.J., Zygierewicz, J., Klekowicz, H., Ginter, J., Blinowska, K.J.
Format: Article
Language:English
Subjects:
Adult
Algorithms
Brain - physiology
Continuous wavelet transforms
Diagnosis, Computer-Assisted - methods
Electroencephalography
Electroencephalography - methods
Evoked Potentials - physiology
Fourier transforms
Frequency synchronization
Humans
Male
Matching pursuit algorithms
Models, Neurological
Models, Statistical
Physics
Reproducibility of Results
Sensitivity and Specificity
Spectrogram
Statistical analysis
Testing
Time frequency analysis
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Summary:We propose and discuss a complete framework for estimating significant changes in the average time-frequency density of energy of event-related signals. Addressed issues include estimation of time-frequency energy density (matching pursuit and spectrogram), choice of resampling statistics to test the hypothesis of change in one small region (resel), and correction for multiplicity (false discovery rate). We present estimation of the significance of event-related electroencephalograph desynchronization and synchronization (ERD/ERS) in the time-frequency plane. Complete software implementing all the discussed steps is freely available from the Internet at http://brain.fuw.edu.pl//spl ap/durka/tfstat.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2004.827341