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


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
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

116434

Subventions

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.

Auteurs

Jonas Bause (J)

Department for Biomedical Magnetic Resonance Imaging, University Hospital Tuebingen, Germany; High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany; Graduate School of Neuronal and Behavioral Sciences, University of Tuebingen, Tuebingen, Germany. Electronic address: jonas.bause@tuebingen.mpg.de.

Jonathan R Polimeni (JR)

Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charleston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.

Johannes Stelzer (J)

Department for Biomedical Magnetic Resonance Imaging, University Hospital Tuebingen, Germany; High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany.

Myung-Ho In (MH)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Philipp Ehses (P)

German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.

Pablo Kraemer-Fernandez (P)

Department of Prosthodontics, University Hospital Tuebingen, Tuebingen, Germany.

Ali Aghaeifar (A)

High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany; Graduate School of Neuronal and Behavioral Sciences, University of Tuebingen, Tuebingen, Germany.

Eric Lacosse (E)

High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany; Autonomous Learning Group, Max-Planck Institute for Intelligent Systems, Tuebingen, Germany.

Rolf Pohmann (R)

High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany.

Klaus Scheffler (K)

Department for Biomedical Magnetic Resonance Imaging, University Hospital Tuebingen, Germany; High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany.

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