Statistical significance of task related deep brain EEG dynamic changes in the time-frequency domain

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Authors	CHLÁDEK J. BRÁZDIL Milan HALÁMEK J. PLEŠINGER F. JURÁK P.
Year of publication	2013
Type	Article in Proceedings
Conference	Engineering in Medicine and Biology Society (EMBC), 35th Annual International Conference of the IEEE, 3-7-July, 2013, Osaka
MU Faculty or unit	Faculty of Medicine
Citation
Doi	https://doi.org/10.1109/EMBC.2013.6609678
Field	Neurology, neurosurgery, neurosciences
Keywords	intra-cerebral electroencephalographic data (SEEG)
Description	We present an off-line analysis procedure for exploring brain activity recorded from intra-cerebral electroencephalographic data (SEEG). The objective is to determine the statistical differences between different types of stimulations in the time-frequency domain. The procedure is based on computing relative signal power change and subsequent statistical analysis. An example of characteristic statistically significant event-related de/synchronization (ERD/ERS) detected across different frequency bands following different oddball stimuli is presented. The method is used for off-line functional classification of different brain areas.
Related projects:	Analýza vysokofrekvenčního EEG signálu z hlubokých mozkových elektrod CEITEC - Central European Institute of Technology MEDTECH - vzdělávací a výzkumná partnerská síť v medicíně, biomedicíně a přístrojové technice