Cargando…
A permutation testing framework to compare groups of brain networks
Brain network analyses have moved to the forefront of neuroimaging research over the last decade. However, methods for statistically comparing groups of networks have lagged behind. These comparisons have great appeal for researchers interested in gaining further insight into complex brain function...
Autores principales: | Simpson, Sean L., Lyday, Robert G., Hayasaka, Satoru, Marsh, Anthony P., Laurienti, Paul J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839047/ https://www.ncbi.nlm.nih.gov/pubmed/24324431 http://dx.doi.org/10.3389/fncom.2013.00171 |
Ejemplares similares
-
A regression framework for brain network distance metrics
por: Tomlinson, Chal E., et al.
Publicado: (2022) -
3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics
por: Tomlinson, Chal E., et al.
Publicado: (2023) -
Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks
por: Bahrami, Mohsen, et al.
Publicado: (2019) -
Global integration of the hot-state brain network of appetite predicts short term weight loss in older adult
por: Paolini, Brielle M., et al.
Publicado: (2015) -
Exponential Random Graph Modeling for Complex Brain Networks
por: Simpson, Sean L., et al.
Publicado: (2011)