|
| |
|
|
Analysis of high-frequency activity in electroencephalogram of animal epilepsy model
Havel, T. ; Kudláček, J. ; Jiruška, Přemysl ; Ježdík, P. ; Čmejla, R.
High frequency oscillations (HFO) are believed to be a new specific biomarker of epileptogenic tissue. According to the reported findings, we hypothesized that HFOs occur more specific to the epileptogenic tissue. To test this hypothesis, we analyzed intracranial electroencephalograms (iEEG) of three subjects of animal epilepsy model. Overall 180 minutes of iEEG records were processed by the automatic high frequency activity detector and further analyzed. The dominant frequency of each segment was determined and categorized as ripples (80-200 Hz) or fast ripples (200-1000 Hz). Even though overall number of HFO detections predominate in the hemisphere where epileptic focus is located, in comparison of each brain structure separately our hypothesis cannot be fully confirmed.
|
|
|
Case study of intracranial EEG records of patients with focal cortical dysplasia type I and II
Balach, J. ; Ježdík, P. ; Čmejla, R. ; Kršek, P. ; Jiruška, Přemysl
In this study we try to find out if it is possible to differentiate type of focal cortical dysplasia by features obtained from intracranial EEG. We compare occurrence and rates of three biomarkers present in epilepsy in patients with focal cortical dysplasia type I and II. Case study is made on long term night records of 6 pediatric patients. Detection of interictal epileptiform discharges and high-frequency oscillations is made by automated algorithms, delta brush are marked visually. Position of lesion and electrodes inside were obtained from MRI. In individual rates were not found difference on significant level. No major significance were found, but as promising seem to be ratio inside to outside rates of high-frequency oscillations and presence of delta brush, which were found only in patients with focal cortical dysplasia type II.
|
|
| |
|
|
Identifikace epileptogenních oblastí neokortexu pomocí prostorové distribuce interiktálních výbojů
Janča, R. ; Kršek, P. ; Ježdík, P. ; Čmejla, R. ; Tomášek, M. ; Elišák, M. ; Jefferys, J. G. R. ; Jahodová, A. ; Komárek, V. ; Marusič, P. ; Jiruška, Přemysl
V této práci byl vytvořen algoritmus využívající analýzy hlavních komponent za účelem shlukování interiktálních výbojů. S pomocí této metody lze určit pravděpodobné epileptogenní oblasti iritační zóny
|
host ::
RSS.