ArticleImaging neuroscience (Cambridge, Mass.)
Frame-wise multi-echo distortion correction for superior functional MRI.
Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Striatal social reward sensitivity predicts trust-related brain responses depending on closeness and depression.Biological psychology · 2026Article
- A single-echo/multi-echo BOLD fMRI test-retest dataset.Data in brief · 2026Article
- Differences in other-directed emotion regulation tracks connectivity between amygdala and prefrontal regions during fairness decisions.bioRxiv : the preprint server for biology · 2026Article
- Precision Imaging for Intraindividual Investigation of the Reward Response.bioRxiv : the preprint server for biology · 2025Article
- Principles of intensive human neuroimaging.Trends in neurosciences · 2024Article
- Social reward and nonsocial reward processing across the adult lifespan: An interim multi-echo fMRI and diffusion dataset.Data in brief · 2024Article
- A comparison of fMRI presurgical mapping techniques with intraoperative brain mapping-based validation.Imaging neuroscience (Cambridge, Mass.) · 2024Article
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Abstract
Functional MRI (fMRI) data are severely distorted by magnetic field (B0) inhomogeneities, which currently must be corrected using separately acquired field map data. However, changes in the head position of a participant across fMRI frames cause changes in the B0 field, preventing accurate correction of geometric distortions. Movement during field map acquisitions corrupts field maps, preventing distortion correction altogether. In this study, we use multi-echo (ME) fMRI data to dynamically sample and correct for magnetic field image distortions caused by head motion. Our distortion correction pipeline, MEDIC (Multi-Echo DIstortion Correction), leverages magnetic field inhomogeneity information found in the difference between echoes and uses it to correct for distortion on a frame-by-frame basis. Here, we demonstrate that MEDIC's frame-wise distortion correction decreases the impact of head motion on resting-state functional connectivity (RSFC) maps and improves alignment to anatomy when compared with the prior gold standard approach (i.e., FSL TOPUP). Enhanced frame-wise distortion correction with MEDIC, without the requirement for field map collection, furthers the benefit of cutting-edge multi-echo fMRI imaging over single-echo fMRI.
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