Name
Title | ||
|---|---|---|
Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters |
Abstract | ||
|---|---|---|
•The BOLD signal in white matter has an anisotropic correlation structure that has not been accounted for in standard fMRI pipelines.•We present a graph-based spatial smoothing approach that yields filters adapted to the underlying diffusion MRI data of the subject.•The proposed smoothing method outperforms isotropic Gaussian filtering in simulated phantom experiments.•Single-subject and group activation maps from task fMRI data smoothed with the proposed approach manifest slender, streamline-like activation patterns that are generally absent when the data are smoothed with isotropic Gaussian filters. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neuroimage.2021.118095 | NeuroImage |
Keywords | DocType | Volume |
Functional MRI,Diffusion MRI,White matter,Graph signal processing,Anisotropy | Journal | 237 |
ISSN | Citations | PageRank |
1053-8119 | 1 | 0.35 |
References | Authors | |
35 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Abramian | 1 | 1 | 0.35 |
| Martin Larsson | 2 | 1 | 2.38 |
| Anders Eklund | 3 | 1 | 0.35 |
| Iman Aganj | 4 | 195 | 18.93 |
| Carl-Fredrik Westin | 5 | 1 | 0.35 |
| Hamid Behjat | 6 | 1 | 0.35 |