Cargando…
Corrigendum to “Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?” [NeuroImage 127 (2016) 242–256]
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/PMC5603728/ https://www.ncbi.nlm.nih.gov/pubmed/27131042 http://dx.doi.org/10.1016/j.neuroimage.2016.02.007 |
Ejemplares similares
-
Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?
por: Hindriks, R., et al.
Publicado: (2016) -
Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network
por: Kaplan, Raphael, 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) -
Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI
por: Logothetis, NK, et al.
Publicado: (2013)