Evidence map›Paper›PMID 40173320›Full record

ArticleMagnetic resonance in medicine2025

Short-term gradient imperfections in high-resolution EPI lead to Fuzzy Ripple artifacts.

Laurentius Renzo Huber, Rüdiger Stirnberg, A Tyler Morgan, David A Feinberg, Philipp Ehses, Lasse Knudsen, Omer Faruk Gulban, Kenshu Koiso, Isabel Gephart, Stephanie Swegle and 7 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Magnetic resonance imaging.Science advances · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Laurentius Renzo HuberNIMH, NIH, Bethesda, Maryland, USA.ORCID 0000-0002-3291-2202
Rüdiger StirnbergGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0001-7021-1063
A Tyler MorganNIMH, NIH, Bethesda, Maryland, USA.ORCID 0000-0001-6017-2179
David A FeinbergHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, USA.ORCID 0009-0002-5016-9165
Philipp EhsesGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0002-5839-6525
Lasse KnudsenCenter of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Omer Faruk GulbanDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-7761-3727
Kenshu KoisoDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-5931-6294
Isabel GephartNIMH, NIH, Bethesda, Maryland, USA.
Stephanie SwegleNIMH, NIH, Bethesda, Maryland, USA.ORCID 0009-0002-6579-3972
Susan G WardleNIMH, NIH, Bethesda, Maryland, USA.ORCID 0000-0003-2216-7461
Andrew S PersichettiNIMH, NIH, Bethesda, Maryland, USA.ORCID 0000-0002-1580-8497
Alexander J S BeckettAdvanced MRI Technologies, Sebastopol, California, USA.ORCID 0000-0002-7123-9559
Tony StöckerGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.ORCID 0000-0002-8946-9141
Nicolas BoulantUniversity Paris Saclay, CEA, CNRS, NeuroSpin, BAOBAB, Gif-sur-Yvette, France.ORCID 0000-0003-2144-2484
Benedikt A PoserDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-8190-4367
Peter A BandettiniNIMH, NIH, Bethesda, Maryland, USA.ORCID 0000-0001-9038-4746

Funding

MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
Functional MRI Core FacilityZ01MH002884 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER · 2007 to 2008
$5.5M
Foundations of MRI Corticography for mesoscale organization and neuronal circuitryR01MH111444 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN · 2016 to 2020
$5.1M
Highly Efficient MRI Pulse Sequences for High Resolution Physiological and Functional Brain ImagingR44MH129278 · NIMH · ADVANCED MRI TECHNOLOGY, LLC · PI BECKETT, ALEXANDER, FEINBERG, DAVID ALAN · 2021 to 2023
$4.3M
Understanding layer-specific contributions to perception and learning in human cortexR00EY034169 · NEI · THOMAS JEFFERSON UNIVERSITY · PI Andrew S Persichetti · 2025 to 2026
$498k
European Union (AROMA) 885876Intramural NIH HHS Z01 MH002884NEI NIH HHS K99EY034169-01NEI NIH HHS R00 EY034169NIBIB NIH HHS U01 EB025162NIH (USA) R0-MH111444NIH (USA) R44-MH129278NIH (USA) U01-EB025162NIH (USA) Intramural Program NIMH ZIA-MH-002920-09NIH (USA) Intramural Program NIMH/NINDS MH002884NIMH NIH HHS R01 MH111444NIMH NIH HHS R44 MH129278NWO VIDI 16.Vidi.178.052
6 · The paper itself

Abstract

purposeHigh-resolution fMRI is a rapidly growing research field focused on capturing functional signal changes across cortical layers. However, the data acquisition is limited by low spatial frequency EPI artifacts; termed here as Fuzzy Ripples. These artifacts limit the practical applicability of acquisition protocols with higher spatial resolution, faster acquisition speed, and they challenge imaging in inferior regions of the brain.

methodsWe characterize Fuzzy Ripple artifacts across commonly used sequences and distinguish them from conventional EPI Nyquist ghosts and off-resonance effects. To investigate their origin, we employ dual-polarity readouts.

resultsOur findings indicate that Fuzzy Ripples are primarily caused by readout-specific imperfections in k-space trajectories, which can be exacerbated by short-term eddy current, and by inductive coupling between third-order shims and readout gradients. We also find that these artifacts can be mitigated through complex-valued averaging of dual-polarity EPI or by disconnecting the third-order shim coils.

conclusionThe proposed mitigation strategies allow overcoming current limitations in layer-fMRI protocols: Achieving resolutions beyond 0.8 mm is feasible, and even at 3T, we achieved 0.53 mm voxel functional connectivity mapping. Sub-millimeter sampling acceleration can be increased to allow sub-second TRs and laminar whole brain protocols with up to GRAPPA 8. Sub-millimeter fMRI is achievable in lower brain areas, including the cerebellum.

Indexed as

ArtifactsBrainEcho-Planar ImagingImage Processing, Computer-AssistedAlgorithmsBrain MappingHumansMagnetic Resonance ImagingPhantoms, Imaging7 T acquisitionFuzzy Rippleslayer‐fMRIventral brain

Identifiers

PMID40173320
PMCPMC12137764

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.