Impact of prospective motion correction, distortion correction methods and large vein bias on the spatial accuracy of cortical laminar fMRI at 9.4 Tesla.
Distortion correction
Gradient echo EPI
Laminar fMRI
Macro-vascular bias
Prospective motion correction
Ultra-high field
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
received:
18
04
2019
revised:
08
11
2019
accepted:
02
12
2019
pubmed:
10
12
2019
medline:
18
2
2021
entrez:
9
12
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31812715
pii: S1053-8119(19)31025-0
doi: 10.1016/j.neuroimage.2019.116434
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
116434Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB019437
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH111419
Pays : United States
Informations de copyright
Copyright © 2019. Published by Elsevier Inc.