Cargando…
Capturing the power of seizures: an empirical mode decomposition analysis of epileptic activity in the mouse hippocampus
INTRODUCTION: Various methods have been used to determine the frequency components of seizures in scalp electroencephalography (EEG) and in intracortical recordings. Most of these methods rely on subjective or trial-and-error criteria for choosing the appropriate bandwidth for filtering the EEG or l...
Autores principales: | Molnár, László, Ferando, Isabella, Liu, Benjamin, Mokhtar, Parsa, Domokos, József, Mody, Istvan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225690/ https://www.ncbi.nlm.nih.gov/pubmed/37256078 http://dx.doi.org/10.3389/fnmol.2023.1121479 |
Ejemplares similares
-
Epileptic seizure classifications using empirical mode decomposition and its derivative
por: Karabiber Cura, Ozlem, et al.
Publicado: (2020) -
Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
por: Wu, Jiang, et al.
Publicado: (2020) -
Altered gamma oscillations during pregnancy through loss of δ subunit-containing GABA(A) receptors on parvalbumin interneurons
por: Ferando, Isabella, et al.
Publicado: (2013) -
Diminished KCC2 confounds synapse-specificity of LTP during senescence
por: Ferando, Isabella, et al.
Publicado: (2016) -
Epileptic seizure prediction using successive variational mode decomposition and transformers deep learning network
por: Wu, Xiao, et al.
Publicado: (2022)