Cargando…
Communicability distance reveals hidden patterns of Alzheimer’s disease
The communicability distance between pairs of regions in human brain is used as a quantitative proxy for studying Alzheimer’s disease. Using this distance, we obtain the shortest communicability path lengths between different regions of brain networks from patients with Alzheimer’s disease (AD) and...
Autores principales: | Lella, Eufemia, Estrada, Ernesto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7655045/ https://www.ncbi.nlm.nih.gov/pubmed/33195946 http://dx.doi.org/10.1162/netn_a_00143 |
Ejemplares similares
-
Editorial: Network Communication in the Brain
por: Graham, Daniel, et al.
Publicado: (2020) -
Models of communication and control for brain networks: distinctions, convergence, and future outlook
por: Srivastava, Pragya, et al.
Publicado: (2020) -
Network communication models improve the behavioral and functional predictive utility of the human structural connectome
por: Seguin, Caio, et al.
Publicado: (2020) -
Creative destruction: Sparse activity emerges on the mammal connectome under a simulated communication strategy with collisions and redundancy
por: Hao, Yan, et al.
Publicado: (2020) -
Multisensory integration in the mouse cortical connectome using a network diffusion model
por: Shadi, Kamal, et al.
Publicado: (2020)