An investigation of RSN frequency spectra using ultra-fast generalized inverse imaging (GIN)

Boyacioglu R., Beckmann C.F. and Barth M. (2013) An investigation of RSN frequency spectra using ultra-fast generalized inverse imaging (GIN). Frontiers in Human Neuroscience, 7 APR 2013: 156.1-156.7. doi:10.3389/fnhum.2013.00156


Author Boyacioglu R.
Beckmann C.F.
Barth M.
Title An investigation of RSN frequency spectra using ultra-fast generalized inverse imaging (GIN)
Journal name Frontiers in Human Neuroscience   Check publisher's open access policy
ISSN 1662-5161
Publication date 2013-04
Year available 2013
Sub-type Article (original research)
DOI 10.3389/fnhum.2013.00156
Open Access Status DOI
Volume 7
Issue APR 2013
Start page 156.1
End page 156.7
Total pages 7
Place of publication Lausanne, Switzerland
Publisher Frontiers Research Foundation
Collection year 2014
Language eng
Abstract With the advancements in MRI hardware, pulse sequences and reconstruction techniques, many low TR sequences are becoming more and more popular within the fMRI community. In this study, we have investigated the spectral characteristics of resting state networks (RSNs) with a newly introduced ultra fast fMRI technique, called Generalized Inverse Imaging (GIN). The high temporal resolution of GIN (TR=50 ms) enables to sample cardiac signals without aliasing into a separate frequency band from the BOLD fluctuations. Respiration related signal changes are, on the other hand, removed from the data without the need for external physiological recordings. We have observed that the variance over the subjects is higher than the variance over RSNs.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Centre for Advanced Imaging Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 9 times in Scopus Article | Citations
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