Cargando…
Evaluation and comparison of most prevalent artifact reduction methods for EEG acquired simultaneously with fMRI
Multimodal neuroimaging using EEG and fMRI provides deeper insights into brain function by improving the spatial and temporal resolution of the acquired data. However, simultaneous EEG-fMRI inevitably compromises the quality of the EEG and fMRI signals due to the high degree of interaction between t...
Autores principales: | Kraljič, Aleksij, Matkovič, Andraž, Purg, Nina, Demšar, Jure, Repovš, Grega |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406266/ https://www.ncbi.nlm.nih.gov/pubmed/37555133 http://dx.doi.org/10.3389/fnimg.2022.968363 |
Ejemplares similares
-
autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data
por: Purg, Nina, et al.
Publicado: (2022) -
Corrigendum: autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data
por: Purg, Nina, et al.
Publicado: (2023) -
Neural Evidence for Different Types of Position Coding Strategies in Spatial Working Memory
por: Purg, Nina, et al.
Publicado: (2022) -
Deep learning in neuroimaging data analysis: Applications, challenges, and solutions
por: Avberšek, Lev Kiar, et al.
Publicado: (2022) -
Individual differences in spatial working memory strategies differentially reflected in the engagement of control and default brain networks
por: Purg, Nina, et al.
Publicado: (2023)