Cargando…
Small-World Propensity and Weighted Brain Networks
Quantitative descriptions of network structure can provide fundamental insights into the function of interconnected complex systems. Small-world structure, diagnosed by high local clustering yet short average path length between any two nodes, promotes information flow in coupled systems, a key func...
Autores principales: | Muldoon, Sarah Feldt, Bridgeford, Eric W., Bassett, Danielle S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766852/ https://www.ncbi.nlm.nih.gov/pubmed/26912196 http://dx.doi.org/10.1038/srep22057 |
Ejemplares similares
-
Stimulation-Based Control of Dynamic Brain Networks
por: Muldoon, Sarah Feldt, et al.
Publicado: (2016) -
Small-World Brain Networks Revisited
por: Bassett, Danielle S., et al.
Publicado: (2016) -
Data-driven brain network models differentiate variability across language tasks
por: Bansal, Kanika, et al.
Publicado: (2018) -
The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure
por: Gu, Shi, et al.
Publicado: (2018) -
Locally stable brain states predict suppression of epileptic activity by enhanced cognitive effort
por: Muldoon, Sarah F., et al.
Publicado: (2018)