title: An Investigation of RSN Frequency Spectra Using Ultra-Fast Generalized Inverse Imaging.
abstract: 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.
authors: Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour Nijmegen, Netherlands.
authors: Rasim
authors: R
authors: Boyacioglu
authors: Christian F
authors: CF
authors: Beckmann
authors: Markus
authors: M
authors: Barth
keywords: GIN; ICA; dual regression; fMRI BOLD; frequency analysis; physiological noise; respiration; resting state
references: J Cogn Neurosci. 2011 Dec;23(12):4022-37
references: 21671731
references: Neuroimage. 2012 Aug 15;62(2):699-705
references: 22285221
references: Neuroimage. 2007 Oct 1;37(4):1286-300
references: 17689982
references: PLoS One. 2010 Dec 20;5(12):e15710
references: 21187930
references: Neuroimage. 2006 Feb 15;29(4):1359-67
references: 16260155
references: Neuroimage. 2012 Apr 2;60(2):1517-27
references: 22281675
references: Neuroimage. 2013 Jan 15;65:216-22
references: 23069810
references: Proc Natl Acad Sci U S A. 2009 Aug 4;106(31):13040-5
references: 19620724
references: Hum Brain Mapp. 2008 Jul;29(7):740-50
references: 18438886
references: Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):3131-6
references: 22323591
references: Magn Reson Med. 2012 Aug;68(2):484-94
references: 22131236
references: Proc Natl Acad Sci U S A. 2009 Apr 28;106(17):7209-14
references: 19357304
references: Neuroimage. 2012 Aug 15;62(2):693-8
references: 22001263
references: Magn Reson Med. 2013 Oct;70(4):962-71
references: 23097342
references: Magn Reson Med. 2010 May;63(5):1144-53
references: 20432285
references: Prog Brain Res. 2011;193:259-76
references: 21854968
references: Magn Reson Med. 2012 May;67(5):1210-24
references: 21858868
references: Proc Natl Acad Sci U S A. 2006 Sep 12;103(37):13848-53
references: 16945915
references: Magn Reson Med. 1995 Oct;34(4):537-41
references: 8524021
references: Neuroimage. 2012 Aug 15;62(2):864-70
references: 22245341
references: Neuroimage. 2012 Aug 15;62(2):720-5
references: 22281677
references: Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):1001-13
references: 16087444