Publication details

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 http://dx.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.
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