Name
Abstract | ||
|---|---|---|
Functional connectivity measurements underlying the study of resting-state networks using fMRI (rs-fMRI) are compromised by non-neuronal mechanisms producing correlated signal fluctuations across the brain, commonly referred to as physiological noise, and this problem is enhanced at ultra-high-field (7 T). Physiological noise correction can be achieved by estimating the respective sources based on simultaneously acquired cardiac and respiratory signals. Alternatively, image-based methods relying on regressing out the global fMRI signal fluctuations extracted from regions of no-interest, namely cerebral spinal fluid (CSF) and white matter (WM), have also been proposed. However, the extent to which CSF/WM models explain fMRI signal variance related with cardiac/respiratory sources remains unclear. In this paper, we estimated both cardiac/respiratory and CSF/WM models of physiological noise in whole-brain high-resolution rs-fMRI data collected at 7 T, and determined the signal variance explained by each model individually, as well as their shared variance. We found that noise sources estimated from cardiac/respiratory recordings and CSF/WM global signals are, to a great extent, complementary rather than overlapping. Critically, CSF/WM models were found highly sensitive to the mask used to extract the CSF trace, with conservative, ventricle-based masks yielding more accurate correction. In general, model performance varied significantly across brain regions. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ISBI.2016.7493434 | 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) |
Keywords | Field | DocType |
Physiological noise, fMRI, resting-state, signal correlation, functional connectivity | Signal correlation,White matter,Pattern recognition,Computer science,Resting state fMRI,Artificial intelligence,Communication noise,Explained variation,Cerebral Spinal Fluid | Conference |
ISSN | Citations | PageRank |
1945-7928 | 0 | 0.34 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sandro Nunes | 1 | 4 | 0.72 |
| M Bianciardi | 2 | 122 | 10.60 |
| Alfonso Dias | 3 | 7 | 1.48 |
| L. Miguel Silveira | 4 | 234 | 27.22 |
| Lawrence L. Wald | 5 | 618 | 45.39 |
| Patricia Figueiredo | 6 | 44 | 7.87 |