ArticleFrontiers in neuroimaging2022
Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications.
Article in Frontiers in neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Advancing Cerebro-cerebellar Network Imaging with Ultra-high Field (7T) MRI: Progress and Future Challenges.Cerebellum (London, England) · 2026Review
- Impact of thermal and physiological denoising on laminar functional connectivity.Scientific reports · 2026Article
- Article
- Layer-specific BOLD effects in gradient and spin-echo acquisitions in somatosensory cortex.Magnetic resonance in medicine · 2025Article
- Cortical depth-dependent human fMRI of resting-state networks using EPIK.Frontiers in neuroscience · 2023Article
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3 authors.
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Abstract
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 mm
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