Cargando…
A mathematical perspective on edge-centric brain functional connectivity
Edge time series are increasingly used in brain imaging to study the node functional connectivity (nFC) dynamics at the finest temporal resolution while avoiding sliding windows. Here, we lay the mathematical foundations for the edge-centric analysis of neuroimaging time series, explaining why a few...
Autores principales: | Novelli, Leonardo, Razi, Adeel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110367/ https://www.ncbi.nlm.nih.gov/pubmed/35577769 http://dx.doi.org/10.1038/s41467-022-29775-7 |
Ejemplares similares
-
Edge-Centric Analysis of Time-Varying Functional Connectivity in Schizophrenia Using the COBRE Dataset
por: Gee, Abigail, et al.
Publicado: (2023) -
Neural alterations in opioid-exposed infants revealed by edge-centric brain functional networks
por: Jiang, Weixiong, et al.
Publicado: (2022) -
Smartphone Architecture for Edge-Centric IoT Analytics
por: Marah, Bockarie Daniel, et al.
Publicado: (2020) -
Reduced loss aversion in value-based decision-making and edge-centric functional connectivity in patients with internet gaming disorder
por: Hong, Wei, et al.
Publicado: (2023) -
The Case for Optimized Edge-Centric Tractography at Scale
por: Moon, Joseph Y., et al.
Publicado: (2022)