Literature DB >> 31812715

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

Jonas Bause1, Jonathan R Polimeni2, Johannes Stelzer3, Myung-Ho In4, Philipp Ehses5, Pablo Kraemer-Fernandez6, Ali Aghaeifar7, Eric Lacosse8, Rolf Pohmann9, Klaus Scheffler3.   

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 BOLD fMRI 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.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Distortion correction; Gradient echo EPI; Laminar fMRI; Macro-vascular bias; Prospective motion correction; Ultra-high field

Mesh:

Year:  2019        PMID: 31812715     DOI: 10.1016/j.neuroimage.2019.116434

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  5 in total

1.  Investigating mechanisms of fast BOLD responses: The effects of stimulus intensity and of spatial heterogeneity of hemodynamics.

Authors:  Jingyuan E Chen; Gary H Glover; Nina E Fultz; Bruce R Rosen; Jonathan R Polimeni; Laura D Lewis
Journal:  Neuroimage       Date:  2021-10-14       Impact factor: 7.400

2.  Dynamic distortion correction for functional MRI using FID navigators.

Authors:  Tess E Wallace; Jonathan R Polimeni; Jason P Stockmann; W Scott Hoge; Tobias Kober; Simon K Warfield; Onur Afacan
Journal:  Magn Reson Med       Date:  2020-09-24       Impact factor: 4.668

Review 3.  Imaging faster neural dynamics with fast fMRI: A need for updated models of the hemodynamic response.

Authors:  Jonathan R Polimeni; Laura D Lewis
Journal:  Prog Neurobiol       Date:  2021-09-12       Impact factor: 11.685

Review 4.  The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis.

Authors:  J Haarsma; P Kok; M Browning
Journal:  Schizophr Res       Date:  2020-11-13       Impact factor: 4.662

5.  Perceived and mentally rotated contents are differentially represented in cortical depth of V1.

Authors:  Polina Iamshchinina; Daniel Kaiser; Renat Yakupov; Daniel Haenelt; Alessandro Sciarra; Hendrik Mattern; Falk Luesebrink; Emrah Duezel; Oliver Speck; Nikolaus Weiskopf; Radoslaw Martin Cichy
Journal:  Commun Biol       Date:  2021-09-14
  5 in total

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