AUTHOR=Boyacioglu Rasim , Beckmann Christian F., Barth Markus 

TITLE=An Investigation of RSN Frequency Spectra Using Ultra-Fast Generalized Inverse Imaging

JOURNAL=Frontiers in Human Neuroscience

VOLUME=7

YEAR=2013

URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2013.00156

DOI=10.3389/fnhum.2013.00156

ISSN=1662-5161

ABSTRACT=<p>With the advancements in MRI hardware, pulse sequences and reconstruction techniques, many low TR sequences are becoming more and more popular within the functional MRI (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.</p>