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  Impact of prospective motion correction, distortion correction methods and large vein bias on the spatial accuracy of cortical laminar fMRI at 9.4 Tesla

Bause, J., Polimeni, J., Stelzer, J., In, M.-H., Ehses, P., Kraemer-Fernandez, P., et al. (2020). Impact of prospective motion correction, distortion correction methods and large vein bias on the spatial accuracy of cortical laminar fMRI at 9.4 Tesla. NeuroImage, 208: 116434, pp. 1-16. doi:10.1016/j.neuroimage.2019.116434.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0005-586B-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-691E-5
Genre: Journal Article

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Bause, J1, 2, Author              
Polimeni, JR, Author
Stelzer, J1, 2, Author              
In, M-H, Author
Ehses, P, Author              
Kraemer-Fernandez, P, Author
Aghaeifar, A1, 2, Author              
Lacosse, E1, 2, Author              
Pohmann, R1, 2, Author              
Scheffler, K1, 2, Author              
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Functional imaging with sub-millimeter spatial resolution is a basic requirement for assessing functional MRI (fMRI) responses across different cortical depths, and is used extensively in the emerging field of laminar fMRI. Such studies seek to investigate the detailed functional organization of the brain and may develop to a new powerful tool for human neuroscience. However, several studies have shown that measurement of laminar fMRI responses can be biased by the image acquisition and data processing strategies. In this work, measurements with three different gradient-echo EPI protocols with a voxel size down to 650 μm isotropic were performed at 9.4 T. We estimated how prospective motion correction can help to improve spatial accuracy by reducing the number of spatial resampling steps in postprocessing. In addition, we demonstrate key requirements for accurate geometric distortion correction to ensure that distortion correction maps are properly aligned to the functional data and that strong variations of distortions near large veins can lead to signal overlays which cannot be corrected for during postprocessing. Furthermore, this study illustrates the spatial extent of bias induced by pial and other larger veins in laminar BOLD experiments. Since these issues under investigation affect studies performed with more conventional spatial resolutions, the methods applied in this work may also help to improve the understanding of the BOLD signal more broadly.

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 Dates: 2019-122020-03
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.neuroimage.2019.116434
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 208 Sequence Number: 116434 Start / End Page: 1 - 16 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166