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Retrieving the hemodynamic response function in resting state fMRI: methodology and application

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The integrative neuroscience of behavioral control (Neuroscience)
Abstract
In this paper we present a procedure to retrieve the hemodynamic response function (HRF) from resting state functional magnetic resonance imaging (fMRI) data. The fundamentals of the procedures are further validated by considering simultaneous electroencephalographic (EEG) recordings. The typical HRF shape at rest for a group of healthy subject is presented. Then we present the modifications to the shape of the HRF at rest following two physiological modulations: eyes open versus eyes closed and propofol-induced modulations of consciousness.
Keywords
NETWORKS, DECONVOLUTION, CONNECTIVITY, BOLD

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Citation

Please use this url to cite or link to this publication:

Chicago
Wu, Guorong, Gopikrishna Deshpande , Steven Laureys , and Daniele Marinazzo. 2015. “Retrieving the Hemodynamic Response Function in Resting State fMRI: Methodology and Application.” In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 6050–6053.
APA
Wu, Guorong, Deshpande , G., Laureys , S., & Marinazzo, D. (2015). Retrieving the hemodynamic response function in resting state fMRI: methodology and application. IEEE Engineering in Medicine and Biology Society Conference Proceedings (pp. 6050–6053). Presented at the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
Vancouver
1.
Wu G, Deshpande G, Laureys S, Marinazzo D. Retrieving the hemodynamic response function in resting state fMRI: methodology and application. IEEE Engineering in Medicine and Biology Society Conference Proceedings. 2015. p. 6050–3.
MLA
Wu, Guorong, Gopikrishna Deshpande , Steven Laureys , et al. “Retrieving the Hemodynamic Response Function in Resting State fMRI: Methodology and Application.” IEEE Engineering in Medicine and Biology Society Conference Proceedings. 2015. 6050–6053. Print.
@inproceedings{8032495,
  abstract     = {In this paper we present a procedure to retrieve the hemodynamic response function (HRF) from resting state functional magnetic resonance imaging (fMRI) data. The fundamentals of the procedures are further validated by considering simultaneous electroencephalographic (EEG) recordings. The typical HRF shape at rest for a group of healthy subject is presented. Then we present the modifications to the shape of the HRF at rest following two physiological modulations: eyes open versus eyes closed and propofol-induced modulations of consciousness.},
  author       = {Wu, Guorong and Deshpande , Gopikrishna  and Laureys , Steven  and Marinazzo, Daniele},
  booktitle    = {IEEE Engineering in Medicine and Biology Society Conference Proceedings},
  isbn         = {978-1-4244-9270-1},
  issn         = {1557-170X},
  keyword      = {NETWORKS,DECONVOLUTION,CONNECTIVITY,BOLD},
  language     = {eng},
  location     = {Milan, Italy},
  pages        = {6050--6053},
  title        = {Retrieving the hemodynamic response function in resting state fMRI: methodology and application},
  year         = {2015},
}

Web of Science
Times cited: