This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.3389/fnimg.2022.869454 in citations.
Please use the identifier: http://hdl.handle.net/2128/31570 in citations.
Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications
Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications
Over the past 30 years, brain function has primarily been evaluated non-invasively using functional magnetic resonance imaging (fMRI) with gradient-echo (GE) sequences to measure blood-oxygen-level-dependent (BOLD) signals. Despite the multiple advantages of GE sequences, e.g., higher signal-to-nois...
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Personal Name(s): | Pais, Patricia |
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Yun, Seong Dae / Shah, N. Jon (Corresponding author) | |
Contributing Institute: |
Physik der Medizinischen Bildgebung; INM-4 Jülich-Aachen Research Alliance - Translational Brain Medicine; JARA-BRAIN Jara-Institut Quantum Information; INM-11 |
Published in: | Frontiers in neuroimaging, 1 (2022) S. 869454 |
Imprint: |
Lausanne
Frontiers Media SA
2022
|
DOI: |
10.3389/fnimg.2022.869454 |
Document Type: |
Journal Article |
Research Program: |
Neuroimaging |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/31570 in citations.
Over the past 30 years, brain function has primarily been evaluated non-invasively using functional magnetic resonance imaging (fMRI) with gradient-echo (GE) sequences to measure blood-oxygen-level-dependent (BOLD) signals. Despite the multiple advantages of GE sequences, e.g., higher signal-to-noise ratio, faster acquisitions, etc., their relatively inferior spatial localization compromises the routine use of GE-BOLD in laminar applications. Here, in an attempt to rescue the benefits of GE sequences, we evaluated the effect of existing pre-processing methods on the spatial localization of signals obtained with EPIK, a GE sequence that affords voxel volumes of 0.25 mm3 with near whole-brain coverage. The methods assessed here apply to both task and resting-state fMRI data assuming the availability of reconstructed magnitude and phase images. |