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Updated: Aug 23, 2026
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
On the statistical significance of event-related EEG desynchronization and synchronization in the time-frequency
Piotr J Durka1, Jarosław Zygierewicz, Hubert Klekowicz
1Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, 00-681 Warsaw, Poland. durka@fuw.edu.pl
Abstract:
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.
