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001     907552
005     20250912110145.0
024 7 _ |a 10.3389/fnimg.2022.869454
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037 _ _ |a FZJ-2022-02079
082 _ _ |a 610
100 1 _ |a Pais, Patricia
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245 _ _ |a Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications
260 _ _ |a Lausanne
|c 2022
|b Frontiers Media SA
336 7 _ |a article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a 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.
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588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Yun, Seong Dae
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700 1 _ |a Shah, N. Jon
|0 P:(DE-Juel1)131794
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|e Corresponding author
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773 _ _ |a 10.3389/fnimg.2022.869454
|g Vol. 1, p. 869454
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|p 869454
|t Frontiers in neuroimaging
|v 1
|y 2022
|x 2813-1193
856 4 _ |u https://juser.fz-juelich.de/record/907552/files/fnimg-01-869454.pdf
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909 C O |o oai:juser.fz-juelich.de:907552
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Decoding Brain Organization and Dysfunction
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914 1 _ |y 2022
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