Retrieving the Hemodynamic Response Function in resting state fMRI: methodology and applications
- Published
- Accepted
- Subject Areas
- Neuroscience, Computational Science
- Keywords
- hemodynamic response function, point process, fmri, resting state, general linear model, electroencephalography
- Copyright
- © 2015 Wu et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2015. Retrieving the Hemodynamic Response Function in resting state fMRI: methodology and applications. PeerJ PrePrints 3:e1317v1 https://doi.org/10.7287/peerj.preprints.1317v1
Abstract
Retrieving the hemodynamic response function (HRF) in fMRI data is important for several reasons. Apart from its use as a physiological biomarker, HRF can act as a confounder in connectivity studies. In task-based fMRI is relatively straightforward to retrieve the HRF since its onset time is known. This is not the case for resting state acquisitions. We present a procedure to retrieve the hemodynamic response function from resting state (RS) fMRI data. The fundamentals of the procedure are further validated by a simulation and with ASL data. We then present the modifications to the shape of the HRF at rest when opening and closing the eyes using a simultaneous EEG-fMRI dataset. Finally, the HRF variability is further validated on a test-retest dataset.
Author Comment
This paper is a thesis chapter, consisting of a recap of a previously published article followed by simulations and applications meant to further validate the procedure.