Cargando…
Lateralization of epilepsy using intra‐hemispheric brain networks based on resting‐state MEG data
Focal epilepsy originates within networks in one hemisphere. However, previous studies have investigated network topologies for the entire brain. In this study, magnetoencephalography (MEG) was used to investigate functional intra‐hemispheric networks of healthy controls (HCs) and patients with left...
Autores principales: | Pourmotabbed, Haatef, Wheless, James W., Babajani‐Feremi, Abbas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336137/ https://www.ncbi.nlm.nih.gov/pubmed/32400923 http://dx.doi.org/10.1002/hbm.24990 |
Ejemplares similares
-
Reproducibility of graph measures derived from resting‐state MEG functional connectivity metrics in sensor and source spaces
por: Pourmotabbed, Haatef, et al.
Publicado: (2022) -
MEG language mapping using a novel automatic ECD algorithm in comparison with MNE, dSPM, and DICS beamformer
por: Babajani-Feremi, Abbas, et al.
Publicado: (2023) -
Predicting seizure outcome of vagus nerve stimulation using MEG-based network topology
por: Babajani-Feremi, Abbas, et al.
Publicado: (2018) -
Characterizing resting‐state networks in Parkinson’s disease: A multi‐aspect functional connectivity study
por: Ghasemi, Mahdieh, et al.
Publicado: (2021) -
Identification of the Early Stage of Alzheimer's Disease Using Structural MRI and Resting-State fMRI
por: Hojjati, Seyed Hani, et al.
Publicado: (2019)