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  Dual regression physiological modeling of resting-state EPI power spectra: Effects of healthy aging

Viessmann, O., Möller, H. E., & Jezzard, P. (2019). Dual regression physiological modeling of resting-state EPI power spectra: Effects of healthy aging. NeuroImage, 187, 68-76. doi:10.1016/j.neuroimage.2018.01.011.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-83C3-F Version Permalink: http://hdl.handle.net/21.11116/0000-0003-CA9C-A
Genre: Journal Article

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Viessmann_Moeller_2017 (Publisher version), 2MB
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Viessmann_Moeller_2017
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 Creators:
Viessmann, Olivia1, Author
Möller, Harald E.2, Author              
Jezzard, Peter1, Author
Affiliations:
1Nuffield Department Clinical Neurosciences, FMRIB Centre, University 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: EPI; Dual regression; fMRI; Physiological noise; Cardiac pulsatility; Healthy aging
 Abstract: Aging and disease-related changes in the arteriovasculature have been linked to elevated levels of cardiac cycle-induced pulsatility in the cerebral microcirculation. Functional magnetic resonance imaging (fMRI), acquired fast enough to unalias the cardiac frequency contributions, can be used to study these physiological signals in the brain. Here, we propose an iterative dual regression analysis in the frequency domain to model single voxel power spectra of echo planar imaging (EPI) data using external recordings of the cardiac and respiratory cycles as input. We further show that a data-driven variant, without external physiological traces, produces comparable results. We use this framework to map and quantify cardiac and respiratory contributions in healthy aging. We found a significant increase in the spatial extent of cardiac modulated white matter voxels with age, whereas the overall strength of cardiac-related EPI power did not show an age effect.

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Language(s): eng - English
 Dates: 2017-12-172017-09-122018-01-072018-02-032019-02-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2018.01.011
PMID: 29398431
Other: Epub 2018
 Degree: -

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Project name : Ultra-High Field Magnetic Resonance Imaging / HIMR
Grant ID : 316716
Funding program : Funding Programme 7 (FP7-PEOPLE-2012-ITN)
Funding organization : European Commission (EC)
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Grant ID : -
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 : Dunhill Medical Trust

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 187 Sequence Number: - Start / End Page: 68 - 76 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166