Cargando…
Correcting for Non-stationarity in BOLD-fMRI Connectivity Analyses
In this work fMRI BOLD datasets are shown to contain slice-dependent non-stationarities. A model containing slice-dependent, non-stationary signal power is proposed to address time-varying signal power during BOLD data acquisition. The impact of non-stationary power on functional MRI connectivity is...
Autores principales: | Davey, Catherine E., Grayden, David B., Johnston, Leigh A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943734/ https://www.ncbi.nlm.nih.gov/pubmed/33716640 http://dx.doi.org/10.3389/fnins.2021.574979 |
Ejemplares similares
-
Prediction of Task-Related BOLD fMRI with Amplitude Signatures of Resting-State fMRI
por: Kannurpatti, Sridhar S., et al.
Publicado: (2012) -
fMRI at High Spatial Resolution: Implications for BOLD-Models
por: Goense, Jozien, et al.
Publicado: (2016) -
External drivers of BOLD signal’s non-stationarity
por: Ashourvan, Arian, et al.
Publicado: (2022) -
Influence of BOLD Contributions to Diffusion fMRI Activation of the Visual Cortex
por: Williams, Rebecca J., et al.
Publicado: (2016) -
MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal Changes
por: Plis, Sergey M., et al.
Publicado: (2010)