Cargando…
Unveiling whole‐brain dynamics in normal aging through Hidden Markov Models
During normal aging, the brain undergoes structural and functional changes. Many studies applied static functional connectivity (FC) analysis on resting state functional magnetic resonance imaging (rs‐fMRI) data showing a link between aging and the increase of between‐networks connectivity. However,...
Autores principales: | Moretto, Manuela, Silvestri, Erica, Zangrossi, Andrea, Corbetta, Maurizio, Bertoldo, Alessandra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764474/ https://www.ncbi.nlm.nih.gov/pubmed/34783122 http://dx.doi.org/10.1002/hbm.25714 |
Ejemplares similares
-
The dynamic functional connectivity fingerprint of high-grade gliomas
por: Moretto, Manuela, et al.
Publicado: (2023) -
One-year-later spontaneous EEG features predict visual exploratory human phenotypes
por: Celli, Miriam, et al.
Publicado: (2022) -
Presurgical predictors of early cognitive outcome after brain tumor resection in glioma patients
por: Zangrossi, Andrea, et al.
Publicado: (2022) -
Widespread cortical functional disconnection in gliomas: an individual network mapping approach
por: Silvestri, Erica, et al.
Publicado: (2022) -
Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling
por: Quinn, Andrew J., et al.
Publicado: (2018)