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  Cardiac cycle-induced EPI time series fluctuations in the brain: Their temporal shifts, inflow effects and T2* fluctuations

Viessmann, O., Möller, H. E., & Jezzard, P. (2017). Cardiac cycle-induced EPI time series fluctuations in the brain: Their temporal shifts, inflow effects and T2* fluctuations. NeuroImage, 162, 93-105. doi:10.1016/j.neuroimage.2017.08.061.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-E7C3-C Version Permalink: http://hdl.handle.net/21.11116/0000-0004-F418-E
Genre: Journal Article

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 Creators:
Viessmann, Olivia1, Author
Möller, Harald E.2, Author              
Jezzard, Peter1, Author
Affiliations:
1Nuffield Department Clinical Neurosciences, FMRIB CentreUniversity of Oxford, United Kingdom, ou_persistent22              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

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Free keywords: Ultra-fast EPI; Multiband; Multi-echo; Cardiac pulsatility; Partial volume; Physiological noise; Cerebral compliance
 Abstract: The cardiac-induced arterial pressure wave causes changes in cerebral blood flow velocities and volumes that affect the signals in echo-planar imaging (EPI). Using single-echo EPI time series data, acquired fast enough to unalias the cardiac frequency, we found that the cardiac cycle-induced signal fluctuations are delayed differentially in different brain regions. When referenced to the time series in larger arterial structures, the cortical voxels are only minimally shifted but significant shifts are observed in subcortical areas. Using double-echo EPI data we mapped the voxels’ “signal at zero echo time”, S0, and apparent View the MathML sourceT2∗ over the cardiac cycle. S0 pulsatility was maximised for voxels with a cardiac cycle-induced timing that was close to the arterial structures and is likely explained by enhanced inflow effects in the cortical areas compared to subcortical areas. Interestingly a consistent View the MathML sourceT2∗ waveform over the cardiac cycle was observed in all voxels with average amplitude ranges between 0.3-0.55% in grey matter and 0.15–0.22% in white matter. The timing of the View the MathML sourceT2∗ waveforms suggests a partial volume fluctuation where arteriolar blood volume changes are counterbalanced by changes in CSF volumes.

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Language(s): eng - English
 Dates: 2017-08-172017-07-102017-08-252017-08-312017-11-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2017.08.061
PMID: 28864026
PMC: PMC5711428
Other: Epub 2017
 Degree: -

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Project name : Ultra-High Field Magnetic Resonance Imaging / HIMR
Grant ID : 316716
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
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Funding program : -
Funding organization : National Institute for Health Research Oxford Biomedical Research Centre
Project name : -
Grant ID : 203139/Z/16/Z
Funding program : -
Funding organization : Wellcome Trust
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Funding program : -
Funding organization : The Dunhill Medical Trust
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Funding program : -
Funding organization : University of Minnesota, Center for Magnetic Resonance Research

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 162 Sequence Number: - Start / End Page: 93 - 105 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166