Cargando…
Identifying oscillatory brain networks with hidden Gaussian graphical spectral models of MEEG
Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estimates as a first step the activity emerging within functional networks from EEG or MEG data. These EEG or MEG estimates a...
Autores principales: | Paz-Linares, Deirel, Gonzalez-Moreira, Eduardo, Areces-Gonzalez, Ariosky, Wang, Ying, Li, Min, Martinez-Montes, Eduardo, Bosch-Bayard, Jorge, Bringas-Vega, Maria L., Valdes-Sosa, Mitchell, Valdes-Sosa, Pedro A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349891/ https://www.ncbi.nlm.nih.gov/pubmed/37454235 http://dx.doi.org/10.1038/s41598-023-38513-y |
Ejemplares similares
-
Minimizing the distortions in electrophysiological source imaging of cortical oscillatory activity via Spectral Structured Sparse Bayesian Learning
por: Paz-Linares, Deirel, et al.
Publicado: (2023) -
Who's driving? The default mode network in healthy elderly individuals at risk of cognitive decline
por: González-López, Mauricio, et al.
Publicado: (2022) -
EECoG-Comp: An Open Source Platform for Concurrent EEG/ECoG Comparisons—Applications to Connectivity Studies
por: Wang, Qing, et al.
Publicado: (2019) -
Spatio Temporal EEG Source Imaging with the Hierarchical Bayesian Elastic Net and Elitist Lasso Models
por: Paz-Linares, Deirel, et al.
Publicado: (2017) -
Forward Field Computation with OpenMEEG
por: Gramfort, Alexandre, et al.
Publicado: (2011)