Abstract
In the neuroscience field, the use of advanced techniques of EEG recording and analysis, led to look for adequate methodology to prevent type I errors, which occur in computing thousands of univariate tests in order to highlight the brain areas in which significant activity arises. In this paper we illustrate the capability of tracking the brain activity during tasks consisting in tennis playing imagery and spatial navigation imagery, by using advanced high resolution EEG methodology accompanied by the use of appropriate statistical techniques that takes into account the risk of the Type I errors. Results showed that in the Spatial Navigation condition the power spectra activity is significantly different from the rest in the bilateral parietal areas and left motor area, while in the Tennis condition the cortical activity differs from the rest in bilateral parietal areas and in the left sensory-motor cortex. These preliminary findings are in partial accordance with previous hemodynamic studies.
Original language | English |
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Title of host publication | BIOSIGNALS 2011 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing |
Pages | 285-288 |
Number of pages | 4 |
Publication status | Published - 2011 |
Event | International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011 - Rome, Italy Duration: Jan 26 2011 → Jan 29 2011 |
Other
Other | International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2011 |
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Country/Territory | Italy |
City | Rome |
Period | 1/26/11 → 1/29/11 |
Keywords
- Bonferroni correction
- Correction for multiple comparisons
- False discovery rate correction
- High resolution EEG
- Mental imagery task
- Spectral cortical maps
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering