Cargando…
Connectivity Concordance Mapping: A New Tool for Model-Free Analysis of fMRI Data of the Human Brain
Functional magnetic resonance data acquired in a task-absent condition (“resting state”) require new data analysis techniques that do not depend on an activation model. Here, we propose a new analysis method called Connectivity Concordance Mapping (CCM). The main idea is to assign a label to each vo...
Autores principales: | Lohmann, Gabriele, Ovadia-Caro, Smadar, Jungehülsing, Gerhard Jan, Margulies, Daniel S., Villringer, Arno, Turner, Robert |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308143/ https://www.ncbi.nlm.nih.gov/pubmed/22470320 http://dx.doi.org/10.3389/fnsys.2012.00013 |
Ejemplares similares
-
Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain
por: Lohmann, Gabriele, et al.
Publicado: (2010) -
A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting‐state fMRI
por: Hu, Jiun‐Yiing, et al.
Publicado: (2021) -
Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI
por: Schaefer, Alexander, et al.
Publicado: (2014) -
The impact of ischemic stroke on connectivity gradients
por: Bayrak, Şeyma, et al.
Publicado: (2019) -
Functional connectivity of visual cortex in the blind follows retinotopic organization principles
por: Striem-Amit, Ella, et al.
Publicado: (2015)