Authors:
J. Toppi
1
;
F. Babiloni
2
;
F. Cincotti
3
;
F. De Vico Fallani
4
;
G. Vecchiato
4
;
S. Salinari
2
;
D. Mattia
3
and
L. Astolfi
1
Affiliations:
1
Univ. of Rome “Sapienza” and IRCCS “Fondazione Santa Lucia”, Italy
;
2
Univ. of Rome “Sapienza”, Italy
;
3
IRCCS “Fondazione Santa Lucia”, Italy
;
4
IRCCS “Fondazione Santa Lucia” and Univ. of Rome “Sapienza”, Italy
Keyword(s):
High Resolution EEG, Spectral Cortical Maps, Mental Imagery Task, Correction for Multiple Comparisons, False Discovery Rate correction, Bonferroni correction.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
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 hemodynam
ic studies.
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