Modeling the hemodynamic response function using simultaneous EEG-fMRI data and convolutional sparse coding analysis with rank-1 constraints
Abstract Over the last few years, an increasing body of evidence points to the hemodynamic response function as an important confound of resting-state functional connectivity. Several studies in the literature proposed using blind deconvolution of resting-state fMRI data to retrieve the HRF, which c...
Saved in:
| Published in: | bioRxiv |
|---|---|
| Main Authors: | , , , , |
| Format: | Paper |
| Language: | English |
| Published: |
Cold Spring Harbor
Cold Spring Harbor Laboratory Press
10.09.2020
Cold Spring Harbor Laboratory |
| Edition: | 1.1 |
| Subjects: | |
| ISSN: | 2692-8205, 2692-8205 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!