Cargando…
Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography
Abnormal dynamical coupling between brain structures is believed to be primarily responsible for the generation of epileptic seizures and their propagation. In this study, we attempt to identify the spatio-temporal interactions of an epileptic brain using a previously proposed nonlinear dependency m...
Autores principales: | Hegde, Anant, Erdogmus, Deniz, Shiau, Deng S., Principe, Jose C., Sackellares, Chris J. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248704/ https://www.ncbi.nlm.nih.gov/pubmed/18317515 http://dx.doi.org/10.1155/2007/83416 |
Ejemplares similares
-
Detection of Epileptic Seizures Using Phase–Amplitude Coupling in Intracranial Electroencephalography
por: Edakawa, Kohtaroh, et al.
Publicado: (2016) -
Variability of Single Pulse Electrical Stimulation Responses Recorded with Intracranial Electroencephalography in Epileptic Patients
por: Jedynak, Maciej, et al.
Publicado: (2022) -
Scaling Effects and Spatio-Temporal Multilevel Dynamics in Epileptic Seizures
por: Meisel, Christian, et al.
Publicado: (2012) -
The importance of modeling epileptic seizure dynamics as spatio-temporal patterns
por: Baier, Gerold, et al.
Publicado: (2012) -
Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography
por: Sip, Viktor, et al.
Publicado: (2021)