Computationally efficient approaches to calculating significant ERD/ERS changes in the time-frequency plane
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Abstract 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. Key words: ERD, ERS, statistical maps, time-frequency energy density
The final version of the article was published as: J. Zygierewicz, P.J. Durka, H. Klekowicz, P.J. Franaszczuk, N.E. Crone Computationally efficient approaches to calculating significant ERD/ERS changes in the time-frequency plane Journal of Neuroscience Methods 145 (2005) 267-276
- Stochastic Time-Frequency Dictionaries for Matching Pursuit
- Matching Pursuit Software
- MP 3.1
- MP 4
- EEG data (and software) from the paper "On the statistical significance of ERD/ERS..."
- On the statistical significance of event-related EEG desynchronization and synchronization in the time-frequency plane
Mar 14, 2006 11:55 AM
