Computationally efficient approaches to calculating significant ERD/ERS changes in the time-frequency plane.
This paper addresses some practical issues related to the calculation, display and assessment of the significance of changes in the average time-frequency energy density of event-related brain activity. Using scalp EEG and subdural ECoG example datasets, parametric tests are evaluated as a replacement for previously applied computer-intensive resampling methods. The performance of different estimates of energy density, based on matching pursuit, scalogram and spectrogram, and their Box-Cox transformations is evaluated with respect to the assumption of normality required for the t-test, and the consistency of the final results.
Zygierewicz
J
J
Laboratory of Medical Physics, Institute of Experimental Physics, Warsaw University, ul. Hoza 69, 00-681 Warszawa, Poland. jarekz@fuw.edu.pl
Durka
P J
PJ
Klekowicz
H
H
Franaszczuk
P J
PJ
Crone
N E
NE
D000328:Adult; D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography; D005071:Evoked Potentials / Q000502:physiology; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted