Unique ID issued by UMIN | UMIN000050469 |
---|---|
Receipt number | R000057484 |
Scientific Title | Single arm observational study on the development of methods for analyzing epileptic electroencephalograms |
Date of disclosure of the study information | 2023/04/01 |
Last modified on | 2023/03/02 10:10:20 |
Neural mechanism of epileptic EEG signals using time-frequency dynamic analysis
Neural mechanism of epileptic EEG signals using time-frequency dynamic analysis
Single arm observational study on the development of methods for analyzing epileptic electroencephalograms
Single arm observational study on the development of methods for analyzing epileptic electroencephalograms
Japan |
epilepsy
Neurosurgery | Adult |
Others
NO
To investigate an analytical method to extract the spatio-temporal dynamics of brain activity before, during and after an epileptic seizure by applying dynamic modal decomposition analysis to the cortical EEG of epileptic patients.
Efficacy
The predictive accuracy of the indicators for predicting the occurrence of epileptic seizures will be evaluated.
Observational
Not applicable |
Not applicable |
Male and Female
Patients treated for epilepsy at the Department of Neurosurgery, Dokkyo Medical University Hospital who have undergone cortical electroencephalography
None
15
1st name | Toshimitsu |
Middle name | |
Last name | Takahashi |
Dokkyo Medical University School of Medicine
Department of Physiology
321-0293
880 Kitakobayashi, Mibu, Shimotsuga, Tochigi
0282-86-2126
tositaka@dokkyomed.ac.jp
1st name | Toshimitsu |
Middle name | |
Last name | Takahashi |
Dokkyo Medical University School of Medicine
Department of Physiology
0282-86-2126
880 Kitakobayashi, Mibu, Shimotsuga, Tochigi
0282-86-2126
tositaka@dokkyomed.ac.jp
Dokkyo Medical University
None
Other
Institutional Review Board for Clinical Research
880 Kitakobayashi, Mibu, Shimotsuga, Tochigi
0282-87-2275
r-kenkyu@dokkyomed.ac.jp
NO
2023 | Year | 04 | Month | 01 | Day |
Unpublished
Preinitiation
2023 | Year | 04 | Month | 01 | Day |
2023 | Year | 04 | Month | 01 | Day |
2033 | Year | 04 | Month | 01 | Day |
We analyze in detail how the spatiotemporal dynamics of brain activity changes during epileptogenesis by dynamic mode decomposition analysis. Specifically, we analyze the stability and spatial distribution of the obtained dynamic modes to understand the mechanism of local oscillation generation and its spatial propagation.
2023 | Year | 03 | Month | 02 | Day |
2023 | Year | 03 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000057484