Name
Abstract | ||
|---|---|---|
•Low-frequency respiratory variations (RV) may be reconstructed from fMRI data alone.•Predicted and measured RV signals explained similar patterns of fMRI variance.•The approach is designed to work with fMRI scans of varying durations.•May enable reducing or studying RV effects in fMRI if respiration data is missing. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neuroimage.2020.117459 | NeuroImage |
Keywords | DocType | Volume |
Respiratory variation,fMRI,Physiology,Resting state,Machine learning | Journal | 225 |
ISSN | Citations | PageRank |
1053-8119 | 1 | 0.35 |
References | Authors | |
28 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jorge A Salas | 1 | 1 | 0.35 |
| Roza G. Bayrak | 2 | 1 | 2.04 |
| Yuankai Huo | 3 | 96 | 26.45 |
| Catie Chang | 4 | 1041 | 50.58 |