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