Cargando…
Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data
The dynamic nature of functional brain networks is being increasingly recognized in cognitive neuroscience, and methods to analyse such time-varying networks in EEG/MEG data are required. In this work, we propose a pipeline to characterize time-varying networks in single-subject EEG task-related dat...
Autores principales: | Williams, Nitin J., Daly, Ian, Nasuto, Slawomir J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160873/ https://www.ncbi.nlm.nih.gov/pubmed/30297993 http://dx.doi.org/10.3389/fncom.2018.00076 |
Ejemplares similares
-
Dynamics of Long-Range Temporal Correlations in Broadband EEG During Different Motor Execution and Imagery Tasks
por: Wairagkar, Maitreyee, et al.
Publicado: (2021) -
Directed Motor-Auditory EEG Connectivity Is Modulated by Music Tempo
por: Nicolaou, Nicoletta, et al.
Publicado: (2017) -
Modeling the Ongoing Dynamics of Short and Long-Range Temporal Correlations in Broadband EEG During Movement
por: Wairagkar, Maitreyee, et al.
Publicado: (2019) -
Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling
por: Quinn, Andrew J., et al.
Publicado: (2018) -
EEG dynamical network analysis method reveals the neural signature of visual-motor coordination
por: Li, Xinzhe, et al.
Publicado: (2020)