Cargando…
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
During the last several years, the focus of research on resting-state functional magnetic resonance imaging (fMRI) has shifted from the analysis of functional connectivity averaged over the duration of scanning sessions to the analysis of changes of functional connectivity within sessions. Although...
Autores principales: | Hindriks, R., Adhikari, M.H., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N.K., Deco, G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758830/ https://www.ncbi.nlm.nih.gov/pubmed/26631813 http://dx.doi.org/10.1016/j.neuroimage.2015.11.055 |
Ejemplares similares
-
Corrigendum to “Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?” [NeuroImage 127 (2016) 242–256]
por: Hindriks, R., et al.
Publicado: (2016) -
Assessment of dynamic functional connectivity in resting‐state fMRI using the sliding window technique
por: Savva, Antonis D., et al.
Publicado: (2019) -
Sliding windows analysis can undo the effects of preprocessing when applied to fMRI data
por: Lindquist, Martin A.
Publicado: (2023) -
Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network
por: Kaplan, Raphael, et al.
Publicado: (2016) -
Education differentiates cognitive performance and resting state fMRI connectivity in healthy aging
por: Montemurro, Sonia, et al.
Publicado: (2023)