Literature DB >> 19375260

Sources of functional magnetic resonance imaging signal fluctuations in the human brain at rest: a 7 T study.

Marta Bianciardi1, Masaki Fukunaga, Peter van Gelderen, Silvina G Horovitz, Jacco A de Zwart, Karin Shmueli, Jeff H Duyn.   

Abstract

Signal fluctuations in functional magnetic resonance imaging (fMRI) can result from a number of sources that may have a neuronal, physiologic or instrumental origin. To determine the relative contribution of these sources, we recorded physiological (respiration and cardiac) signals simultaneously with fMRI in human volunteers at rest with their eyes closed. State-of-the-art technology was used including high magnetic field (7 T), a multichannel detector array and high-resolution (3 mm(3)) echo-planar imaging. We investigated the relative contribution of thermal noise and other sources of variance to the observed fMRI signal fluctuations both in the visual cortex and in the whole brain gray matter. The following sources of variance were evaluated separately: low-frequency drifts due to scanner instability, effects correlated with respiratory and cardiac cycles, effects due to variability in the respiratory flow rate and cardiac rate, and other sources, tentatively attributed to spontaneous neuronal activity. We found that low-frequency drifts are the most significant source of fMRI signal fluctuations (3.0% signal change in the visual cortex, TE=32 ms), followed by spontaneous neuronal activity (2.9%), thermal noise (2.1%), effects due to variability in physiological rates (respiration 0.9%, heartbeat 0.9%), and correlated with physiological cycles (0.6%). We suggest the selection and use of four lagged physiological noise regressors as an effective model to explain the variance related to fluctuations in the rates of respiration volume change and cardiac pulsation. Our results also indicate that, compared to the whole brain gray matter, the visual cortex has higher sensitivity to changes in both the rate of respiration and the spontaneous resting-state activity. Under the conditions of this study, spontaneous neuronal activity is one of the major contributors to the measured fMRI signal fluctuations, increasing almost twofold relative to earlier experiments under similar conditions at 3 T.

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Year:  2009        PMID: 19375260      PMCID: PMC3512098          DOI: 10.1016/j.mri.2009.02.004

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  23 in total

1.  Multivariate dynamic analysis of cerebral blood flow regulation in humans.

Authors:  R B Panerai; D M Simpson; S T Deverson; P Mahony; P Hayes; D H Evans
Journal:  IEEE Trans Biomed Eng       Date:  2000-03       Impact factor: 4.538

2.  Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR.

Authors:  G H Glover; T Q Li; D Ress
Journal:  Magn Reson Med       Date:  2000-07       Impact factor: 4.668

3.  High-resolution fMRI using multislice partial k-space GR-EPI with cubic voxels.

Authors:  J S Hyde; B B Biswal; A Jesmanowicz
Journal:  Magn Reson Med       Date:  2001-07       Impact factor: 4.668

4.  Physiological noise in oxygenation-sensitive magnetic resonance imaging.

Authors:  G Krüger; G H Glover
Journal:  Magn Reson Med       Date:  2001-10       Impact factor: 4.668

5.  Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest.

Authors:  H Laufs; K Krakow; P Sterzer; E Eger; A Beyerle; A Salek-Haddadi; A Kleinschmidt
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-04       Impact factor: 11.205

6.  The respiration response function: the temporal dynamics of fMRI signal fluctuations related to changes in respiration.

Authors:  Rasmus M Birn; Monica A Smith; Tyler B Jones; Peter A Bandettini
Journal:  Neuroimage       Date:  2007-12-15       Impact factor: 6.556

7.  Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

Authors:  B Biswal; F Z Yetkin; V M Haughton; J S Hyde
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

8.  Regional variability of cerebral blood oxygenation response to hypercapnia.

Authors:  A Kastrup; G Krüger; G H Glover; T Neumann-Haefelin; M E Moseley
Journal:  Neuroimage       Date:  1999-12       Impact factor: 6.556

9.  Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging.

Authors:  M I Sereno; A M Dale; J B Reppas; K K Kwong; J W Belliveau; T J Brady; B R Rosen; R B Tootell
Journal:  Science       Date:  1995-05-12       Impact factor: 47.728

10.  Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal.

Authors:  Richard G Wise; Kojiro Ide; Marc J Poulin; Irene Tracey
Journal:  Neuroimage       Date:  2004-04       Impact factor: 6.556

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  99 in total

1.  Functional connectivity density mapping.

Authors:  Dardo Tomasi; Nora D Volkow
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-10       Impact factor: 11.205

2.  Global and system-specific resting-state fMRI fluctuations are uncorrelated: principal component analysis reveals anti-correlated networks.

Authors:  Felix Carbonell; Pierre Bellec; Amir Shmuel
Journal:  Brain Connect       Date:  2012-03-23

3.  Negative BOLD-fMRI signals in large cerebral veins.

Authors:  Marta Bianciardi; Masaki Fukunaga; Peter van Gelderen; Jacco A de Zwart; Jeff H Duyn
Journal:  J Cereb Blood Flow Metab       Date:  2010-09-22       Impact factor: 6.200

4.  Neural basis of global resting-state fMRI activity.

Authors:  Marieke L Schölvinck; Alexander Maier; Frank Q Ye; Jeff H Duyn; David A Leopold
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-03       Impact factor: 11.205

5.  Comparison of functional connectivity in default mode and sensorimotor networks at 3 and 7T.

Authors:  Joanne R Hale; Matthew J Brookes; Emma L Hall; Johanna M Zumer; Claire M Stevenson; Susan T Francis; Peter G Morris
Journal:  MAGMA       Date:  2010-07-13       Impact factor: 2.310

Review 6.  A historical perspective on the evolution of resting-state functional connectivity with MRI.

Authors:  Mark J Lowe
Journal:  MAGMA       Date:  2010-11-16       Impact factor: 2.310

7.  Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI.

Authors:  Weiying Dai; Gopal Varma; Rachel Scheidegger; David C Alsop
Journal:  J Cereb Blood Flow Metab       Date:  2015-11-05       Impact factor: 6.200

Review 8.  Magnetic resonance imaging at ultrahigh fields.

Authors:  Kamil Ugurbil
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

9.  Improving the use of principal component analysis to reduce physiological noise and motion artifacts to increase the sensitivity of task-based fMRI.

Authors:  David A Soltysik; David Thomasson; Sunder Rajan; Nadia Biassou
Journal:  J Neurosci Methods       Date:  2014-12-04       Impact factor: 2.390

10.  Sources and implications of whole-brain fMRI signals in humans.

Authors:  Jonathan D Power; Mark Plitt; Timothy O Laumann; Alex Martin
Journal:  Neuroimage       Date:  2016-10-15       Impact factor: 6.556

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