Cargando…
Hierarchical modelling of functional brain networks in population and individuals from big fMRI data
A major goal of large-scale brain imaging datasets is to provide resources for investigating heterogeneous populations. Characterisation of functional brain networks for individual subjects from these datasets will have an enormous potential for prediction of cognitive or clinical traits. We propose...
Autores principales: | Farahibozorg, Seyedeh-Rezvan, Bijsterbosch, Janine D., Gong, Weikang, Jbabdi, Saad, Smith, Stephen M., Harrison, Samuel J., Woolrich, Mark W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526871/ https://www.ncbi.nlm.nih.gov/pubmed/34450262 http://dx.doi.org/10.1016/j.neuroimage.2021.118513 |
Ejemplares similares
-
Evaluating functional brain organization in individuals and identifying contributions to network overlap
por: Bijsterbosch, Janine D., et al.
Publicado: (2023) -
Modelling subject variability in the spatial and temporal characteristics of functional modes
por: Harrison, Samuel J., et al.
Publicado: (2020) -
Optimising network modelling methods for fMRI
por: Pervaiz, Usama, et al.
Publicado: (2020) -
Hand classification of fMRI ICA noise components
por: Griffanti, Ludovica, et al.
Publicado: (2017) -
Large-scale Probabilistic Functional Modes from resting state fMRI
por: Harrison, Samuel J., et al.
Publicado: (2015)